
From Mark.Duckworth@polycom.com  Mon Jul  2 08:22:18 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id F3FC021F86E5 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 08:22:17 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -5.299
X-Spam-Level: 
X-Spam-Status: No, score=-5.299 tagged_above=-999 required=5 tests=[AWL=-1.300, BAYES_50=0.001, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 9B9S8-ITZpf9 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 08:22:17 -0700 (PDT)
Received: from Crpehubprd01.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id 20FBC21F86F9 for <clue@ietf.org>; Mon,  2 Jul 2012 08:22:16 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::ad68:5a0:c919:66b6]) by Crpehubprd01.polycom.com ([fe80::5efe:10.236.0.158%14]) with mapi; Mon, 2 Jul 2012 08:22:21 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Mon, 2 Jul 2012 08:22:20 -0700
Thread-Topic: Remove framework appendix A.6 Private Information
Thread-Index: Ac1YZDMqYBC6ebFjTFukCZiHKsGoFg==
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A6102FE035D36@CRPMBOXPRD01.polycom.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: multipart/alternative; boundary="_000_44C6B6B2D0CF424AA90B6055548D7A6102FE035D36CRPMBOXPRD01p_"
MIME-Version: 1.0
Subject: [clue] Remove framework appendix A.6 Private Information
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 15:22:18 -0000

--_000_44C6B6B2D0CF424AA90B6055548D7A6102FE035D36CRPMBOXPRD01p_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

At the interim meeting, we decided to remove the framework appendices A.1 t=
hrough A.5.  I think we forgot to talk about A.6, which I am proposing we a=
lso remove.  Here is the entire content of A.6:

A.6.  Private Information
   Do we want a way to include private information?

I think the intent of this was asking if we wanted ability to convey propri=
etary (rather than private) information in CLUE messages.  I haven't seen a=
nybody proposing anything specific about this.  I think it could be address=
ed when we address extensibility in the protocol.

So I don't see any value in keeping this A.6 appendix in the framework.  Do=
 you agree?

Regards,
Mark

--_000_44C6B6B2D0CF424AA90B6055548D7A6102FE035D36CRPMBOXPRD01p_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40"><head><meta http-equiv=3DContent-Type content=
=3D"text/html; charset=3Dus-ascii"><meta name=3DGenerator content=3D"Micros=
oft Word 14 (filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:11.0pt;
	font-family:"Calibri","sans-serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
span.EmailStyle17
	{mso-style-type:personal-compose;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue vli=
nk=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal>At the interim m=
eeting, we decided to remove the framework appendices A.1 through A.5.&nbsp=
; I think we forgot to talk about A.6, which I am proposing we also remove.=
&nbsp; Here is the entire content of A.6:<o:p></o:p></p><p class=3DMsoNorma=
l><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>A.6.&nbsp; Private Information<=
o:p></o:p></p><p class=3DMsoNormal>&nbsp;&nbsp; Do we want a way to include=
 private information?<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p><=
/p><p class=3DMsoNormal>I think the intent of this was asking if we wanted =
ability to convey proprietary (rather than private) information in CLUE mes=
sages.&nbsp; I haven&#8217;t seen anybody proposing anything specific about=
 this.&nbsp; I think it could be addressed when we address extensibility in=
 the protocol.<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p c=
lass=3DMsoNormal>So I don&#8217;t see any value in keeping this A.6 appendi=
x in the framework.&nbsp; Do you agree?<o:p></o:p></p><p class=3DMsoNormal>=
<o:p>&nbsp;</o:p></p><p class=3DMsoNormal>Regards,<o:p></o:p></p><p class=
=3DMsoNormal>Mark<o:p></o:p></p></div></body></html>=

--_000_44C6B6B2D0CF424AA90B6055548D7A6102FE035D36CRPMBOXPRD01p_--

From mary.ietf.barnes@gmail.com  Mon Jul  2 10:42:40 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id CD2DB21F874C for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 10:42:40 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.637
X-Spam-Level: 
X-Spam-Status: No, score=-103.637 tagged_above=-999 required=5 tests=[AWL=-0.039, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 8quvO0ZwT+fN for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 10:42:40 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id D43E721F8747 for <clue@ietf.org>; Mon,  2 Jul 2012 10:42:39 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so9860858obb.31 for <clue@ietf.org>; Mon, 02 Jul 2012 10:42:45 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:date:message-id:subject:from:to:content-type; bh=Pak/U3zrDBdkIsbaS0qMeqhQAF2Sx3AytDCI07hQ/AE=; b=zY9pspJoBGtro2hwE98Uv7cbvgj6KExCwqs01L5oLp8yMHi3EMhhNpmdgh66diZvJs yMtzXkyc/Q3yqWh9MG5MsA9QaQqwyn3Fq3BLtJVWrqGw1O2fcAgELr3dVPntfRkl0P7I J54xlh+b/yg23D1+787OZoY0VX4KYV6IUvVharn6g1oqEc3nkwi4S0WTjrC/1vWcwHPY 2NR4qqh+z9c+T8W98hINevmPwWtRs0FEQngzJ+DEGBBdGcmmEPiePHKJ/Ipi7gYvjRR9 IAvCJoZ/uQ0DtVEkZswBHSi8OlZudGDMdh87H/04rNeBCCk9Ib+fn3jAYPZIWB7DI+lO SrMg==
MIME-Version: 1.0
Received: by 10.60.169.174 with SMTP id af14mr14614196oec.13.1341250965105; Mon, 02 Jul 2012 10:42:45 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Mon, 2 Jul 2012 10:42:45 -0700 (PDT)
Date: Mon, 2 Jul 2012 12:42:45 -0500
Message-ID: <CAHBDyN4dAW6XocF2RnG=wyYZDNt_5PFem-eTXpYuVoC=2eLDVw@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=bcaec54c53925469fa04c3dc5312
Subject: [clue] Minutes: Design team meeting - June 26th.
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 17:42:40 -0000

--bcaec54c53925469fa04c3dc5312
Content-Type: text/plain; charset=ISO-8859-1

Hi all,

Sorry for the delay in getting the minutes out (that's why it's really good
if someone else volunteers to do the minutes).

We discussed the following items.

- Action items from the interim:
-  Magnus: send text to clarify concerns with regards to the framework and
encoding groups (per slide 6 of FW presentation) (Open) [Action: Mary to
ping Magnus]
- Roni will work with Jonathan to produce one RTP document including
topologies (Ongoing)
- Mark: update the framework based on discussions/conclusions. Remove
Appendices per discussion.  (Ongoing)
- Stephan: send text that needs to be added to the framework for item 3)
above. (Done) [Action: Mary will post updated text to get consensus on
specific update to framework]
- Charles: once new RTP doc is available, forward to SIPREC as FYI and for
any feedback. (Open)
- Mary: send link to IMTC document to CLUE. (Done)
- Allyn: develop and submit an initial call flow document for
discussion.(Ongoing)
- Roni: submit use cases for switched capture (Done - need feedback from WG
on:
http://www.ietf.org/mail-archive/web/clue/current/msg01597.html

- Plans for tutorial @ IETF-84.
--  We have had a decent response.

Two items of good news:
1)  The vast majority of respondents thus far are non-CLUE (and
non-RAI) folks and I've gotten positive responses from some IAB and
IESG members.
2) Meetecho will be recording the session, so it will be available
after the meeting.

Two items of bad news:
1) We haven't had any positive responses from the RTCWEB crowd.  I
will be sending a reminder.
2)   It also looks like we won't be able to provide lunch - we will
try to get cookies at least (including GF), but the hotel wants almost
$50 each for box lunches which is insane IMHO.

-- As far as preparing and presenting the materials, the idea at this
point is to have teams work on the presentations over the next couple
weeks (in your spare time between updating drafts ;).  Out of each
team, one individual will do the presentation as we can't have 10-12
presenting.   Here's my draft proposal - note that if your name is
here and you don't want it to be, then please holler.

1) Introduction to telepresence  (Allyn, Steve)
Note: Marshall has been removed as he hasn't responded as to whether he is
available.

2) Example telepresence scenarios  (Roni, Stephan (we really liked
your example from the interim ;)  )

3) Introduction to the CLUE work (Mary, Paul, Allyn, Steve)

4) High level introduction of framework  (Allyn, Andy, Brian, Steve)
Note: we have added Steve to this team and removed Mark as he is not
available to work on this activity.

5) One or two use cases as examples of how the CLUE framework is
realized - showing how existing protocols (e.g., SDP, RTP) are
integral to the solution along with additional signaling for CLUE.
(Rob, Jonathan, Roni, Andy, Allyn)

We will need time for Q&A so it would be very tight with 5 presenters
- note that we will include everyone who contributes to the
presentations on a slide in the presentation.   The most important thing is
that the material is well presented with enough detail for
folks to grok what CLUE is doing, but not so much that they get lost
in the detail.

As far as the timeline, we really need to have a first pass within
two weeks as it's *really* important the material flows and we want to have
everything in one package.

Discussion:
The plan will be to review the first draft on Tuesday, July 10th. Note
 that we need the rough drafts distributed no later than noon on  Monday,
July 9th so folks have a chance to review before the  meeting.

Action Item: Mary to send reminders, indicating no lunch will be provided.

Regards,
Mary.

--bcaec54c53925469fa04c3dc5312
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

<div class=3D"gmail_quote">Hi all,</div><div class=3D"gmail_quote"><br></di=
v><div class=3D"gmail_quote">Sorry for the delay in getting the minutes out=
 (that&#39;s why it&#39;s really good if someone else volunteers to do the =
minutes). =A0</div>
<div class=3D"gmail_quote"><br></div><div class=3D"gmail_quote">We discusse=
d the following items. =A0=A0<br>

<br>
- Action items from the interim:</div><div class=3D"gmail_quote"><div class=
=3D"gmail_quote">- =A0Magnus: send text to clarify concerns with regards to=
 the framework and encoding groups (per slide 6 of FW presentation) (Open) =
[Action: Mary to ping Magnus]</div>
<div class=3D"gmail_quote">- Roni will work with Jonathan to produce one RT=
P document including topologies (Ongoing)</div><div class=3D"gmail_quote">-=
 Mark: update the framework based on discussions/conclusions. Remove Append=
ices per discussion. =A0(Ongoing)</div>
<div class=3D"gmail_quote">- Stephan: send text that needs to be added to t=
he framework for item 3) above. (Done) [Action: Mary will post updated text=
 to get consensus on specific update to framework]</div><div class=3D"gmail=
_quote">
- Charles: once new RTP doc is available, forward to SIPREC as FYI and for =
any feedback. (Open)</div><div class=3D"gmail_quote">- Mary: send link to I=
MTC document to CLUE. (Done)</div><div class=3D"gmail_quote">- Allyn: devel=
op and submit an initial call flow document for discussion.(Ongoing)</div>
<div class=3D"gmail_quote">- Roni: submit use cases for switched capture (D=
one - need feedback from WG on: =A0</div><div class=3D"gmail_quote"><a href=
=3D"http://www.ietf.org/mail-archive/web/clue/current/msg01597.html">http:/=
/www.ietf.org/mail-archive/web/clue/current/msg01597.html</a></div>
</div><div class=3D"gmail_quote">
<br>
- Plans for tutorial @ IETF-84.<br>
-- =A0We have had a decent response.<br>
<br>
Two items of good news:<br>
1) =A0The vast majority of respondents thus far are non-CLUE (and<br>
non-RAI) folks and I&#39;ve gotten positive responses from some IAB and<br>
IESG members.<br>
2) Meetecho will be recording the session, so it will be available<br>
after the meeting.<br>
<br>
Two items of bad news:<br>
1) We haven&#39;t had any positive responses from the RTCWEB crowd. =A0I<br=
>
will be sending a reminder.<br>
2) =A0 It also looks like we won&#39;t be able to provide lunch - we will<b=
r>
try to get cookies at least (including GF), but the hotel wants almost<br>
$50 each for box lunches which is insane IMHO.<br>
<br>
-- As far as preparing and presenting the materials, the idea at this<br>
point is to have teams work on the presentations over the next couple<br>
weeks (in your spare time between updating drafts ;). =A0Out of each<br>
team, one individual will do the presentation as we can&#39;t have 10-12<br=
>
presenting. =A0 Here&#39;s my draft proposal - note that if your name is<br=
>
here and you don&#39;t want it to be, then please holler.<br>
<br>
1) Introduction to telepresence =A0(Allyn, Steve)</div><div class=3D"gmail_=
quote">Note: Marshall has been removed as he hasn&#39;t responded as to whe=
ther he is available.=A0</div><div class=3D"gmail_quote"><br>
2) Example telepresence scenarios =A0(Roni, Stephan (we really liked<br>
your example from the interim ;) =A0)</div><div class=3D"gmail_quote"><br>
3) Introduction to the CLUE work (Mary, Paul, Allyn, Steve)</div><div class=
=3D"gmail_quote"><br>
4) High level introduction of framework =A0(Allyn, Andy, Brian, Steve)</div=
><div class=3D"gmail_quote">Note: we have added Steve to this team and remo=
ved Mark as he is not available to work on this activity.=A0</div><div clas=
s=3D"gmail_quote">

<br>
5) One or two use cases as examples of how the CLUE framework is<br>
realized - showing how existing protocols (e.g., SDP, RTP) are<br>
integral to the solution along with additional signaling for CLUE.<br>
(Rob, Jonathan, Roni, Andy, Allyn)<br>
<br>
We will need time for Q&amp;A so it would be very tight with 5 presenters<b=
r>
- note that we will include everyone who contributes to the<br>
presentations on a slide in the presentation. =A0 The most important=A0thin=
g is that the material is well presented with enough detail for<br>
folks to grok what CLUE is doing, but not so much that they get lost<br>
in the detail.<br>
<br>
As far as the timeline, we really need to have a first pass within two=A0we=
eks as it&#39;s *really* important the material flows and we want to=A0have=
 everything in one package.</div><div class=3D"gmail_quote"><br></div><div =
class=3D"gmail_quote">
Discussion:</div><div class=3D"gmail_quote">The plan will be to review the =
first draft on Tuesday, July 10th. Note =A0that we need the rough drafts di=
stributed no later than noon on =A0Monday, July 9th so folks have a chance =
to review before the =A0meeting.=A0</div>
<div class=3D"gmail_quote"><br></div><div class=3D"gmail_quote">Action Item=
: Mary to send reminders, indicating no lunch will be provided.=A0<br>
<br>
Regards,<br>
Mary.<br>
</div><br>

--bcaec54c53925469fa04c3dc5312--

From mary.ietf.barnes@gmail.com  Mon Jul  2 10:58:04 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id D01D511E80EA for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 10:58:04 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.636
X-Spam-Level: 
X-Spam-Status: No, score=-103.636 tagged_above=-999 required=5 tests=[AWL=-0.038, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id JpVcAJ+WVu51 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 10:58:03 -0700 (PDT)
Received: from mail-gg0-f172.google.com (mail-gg0-f172.google.com [209.85.161.172]) by ietfa.amsl.com (Postfix) with ESMTP id A191211E80C1 for <clue@ietf.org>; Mon,  2 Jul 2012 10:58:03 -0700 (PDT)
Received: by ggnc4 with SMTP id c4so4872943ggn.31 for <clue@ietf.org>; Mon, 02 Jul 2012 10:58:09 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:date:message-id:subject:from:to:content-type; bh=M4yGAtcLNiejWuPce1e0qunNgijGPMwlcxU8M8V7vqM=; b=yGYEbUCRSpsKDnpbF+M25wb/wNOUnPyN1N0PO7tK3+osXkJ7HqiQPYcfJG+zZ9gcn6 HjopvsZDeXAbKb1Avq9uMwIR4OtAyf4kWt24yBkAl4VmvpNffqBasUjfzyAitlvChxnA 0sq5CL5MF1cbAC0g3mXBWZXf6VlC7666t6dtmMm2CCfP3f4BcjJw+WPxLQeSxer1jXTM FeVJoOSw7GqPa4MAfPdccHguT+d5dQm2y4wdQxq9a/xTvQmCZU/bEp3qVLcPGGnEEPod 6LCc3GVuRe/S2UOXq652+ebOh/Aa94NOz+zr4yXwT+1D2cWAHF4w9ZWddSsSqM7pZrDS zdDA==
MIME-Version: 1.0
Received: by 10.60.29.38 with SMTP id g6mr6897641oeh.45.1341251888828; Mon, 02 Jul 2012 10:58:08 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Mon, 2 Jul 2012 10:58:08 -0700 (PDT)
Date: Mon, 2 Jul 2012 12:58:08 -0500
Message-ID: <CAHBDyN4S5Wyzx0gtO8FfZ8QVcFwaXnWP3C7RjjKwgzpy1UKqYA@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=e89a8fb1f8d66350f204c3dc8a03
Subject: [clue] Concensus call: Text for "Axis of Capture"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 17:58:04 -0000

--e89a8fb1f8d66350f204c3dc8a03
Content-Type: text/plain; charset=ISO-8859-1

Per the design team call last week, we want to do a consensus call for the
text to cover the "Axis of capture".  There were several suggested updates
to Stephan's original text:
http://www.ietf.org/mail-archive/web/clue/current/msg01583.html

Thus, we would like folks to respond as to whether they are okay with the
following text being added to section 6.1.1 (relative to
draft-ietf-clue-framework-05 - after the two paragraphs of "point of
capture" - middle of page 11):

   Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian

   (X, Y, Z) point value (virtual or physical) which describes a position

   in space of a second point on the axis of capture of the capturing

   device; the first point being the Point of Capture (see above).


   The axis of capture point MUST NOT be specified if the Point of Capture

   is not present for this capture device.

   When the Axis of Capture Point attribute is specified, it must include X,
   Y and Z coordinates.  These coordinates MUST not be identical to the

   Point of Capture coordinates.

   If the Axis of Capture Point is not specified, it
   means the consumer should not assume anything about the axis of

   capture of the capturing device.



So, please respond "Yes" if you think the text if fine, "Maybe" if you
think it needs tweaking (and include the suggested
tweaks). Note, we agreed to add this at the interim meeting, thus if you
answer "No", you must include
a compelling reason why this should not be added in some form.

Regards,
Mary
CLUE WG co-chair

--e89a8fb1f8d66350f204c3dc8a03
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

Per the design team call last week, we want to do a consensus call for the =
text to cover the &quot;Axis of capture&quot;. =A0There were several sugges=
ted updates to Stephan&#39;s original text:<br><div><a href=3D"http://www.i=
etf.org/mail-archive/web/clue/current/msg01583.html">http://www.ietf.org/ma=
il-archive/web/clue/current/msg01583.html</a></div>
<div><br></div><div>Thus, we would like folks to respond as to whether they=
 are okay with the following text being added to section 6.1.1<font class=
=3D"Apple-style-span" face=3D"arial, helvetica, sans-serif">=A0(relative to=
 draft-ietf-clue-framework-05 - after the two paragraphs of &quot;point of =
capture&quot; - middle of page 11):</font></div>
<div><font class=3D"Apple-style-span" face=3D"arial, helvetica, sans-serif"=
><br></font></div><div><font class=3D"Apple-style-span" face=3D"arial, helv=
etica, sans-serif"><table width=3D"100%" style=3D"font-family:Times;font-si=
ze:medium">
<tbody><tr><td><div><span class=3D"Apple-style-span" style=3D"font-size:13p=
x;line-height:16px;font-family:arial,helvetica,clean,sans-serif"><pre style=
=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-family:monos=
pace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bottom:0px;ma=
rgin-left:0px">
   Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian=A0</p=
re><pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font=
-family:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-=
bottom:0px;margin-left:0px">
   (X, Y, Z) point value (virtual or physical) which describes a position=
=A0</pre><pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780p=
x;font-family:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;m=
argin-bottom:0px;margin-left:0px">
   in space of a second point on the axis of capture of the capturing=A0</p=
re><pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font=
-family:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-=
bottom:0px;margin-left:0px">
   device; the first point being the Point of Capture (see above).</pre><pr=
e style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-famil=
y:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bottom=
:0px;margin-left:0px">
<br></pre><pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780=
px;font-family:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;=
margin-bottom:0px;margin-left:0px">   The axis of capture point MUST NOT be=
 specified if the Point of Capture</pre>
<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px">   is not present for this capture device. =A0</pr=
e>
<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px">   When the Axis of Capture Point attribute is spe=
cified, it must include X,
   Y and Z coordinates. =A0These coordinates MUST not be identical to the=
=A0</pre><pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780p=
x;font-family:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;m=
argin-bottom:0px;margin-left:0px">
   Point of Capture coordinates. </pre><pre style=3D"white-space:pre-wrap;w=
ord-wrap:break-word;width:780px;font-family:monospace;line-height:1.2em;mar=
gin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px">   If the A=
xis of Capture Point is not specified, it
   means the consumer should not assume anything about the axis of</pre><pr=
e style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-famil=
y:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bottom=
:0px;margin-left:0px">
   capture of the capturing device.  </pre><div><br></div><div><br></div><d=
iv>So, please respond &quot;Yes&quot; if you think the text if fine, &quot;=
Maybe&quot; if you think it needs tweaking (and include the suggested</div>
<div>tweaks). Note, we agreed to add this at the interim meeting, thus if y=
ou answer &quot;No&quot;, you must include=A0</div><div>a compelling reason=
 why this should not be added in some form.</div><div><br></div><div>Regard=
s,</div>
<div>Mary</div><div>CLUE WG co-chair</div></span></div></td></tr></tbody></=
table></font></div>

--e89a8fb1f8d66350f204c3dc8a03--

From mary.ietf.barnes@gmail.com  Mon Jul  2 10:59:42 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id C68E711E80EC for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 10:59:42 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.634
X-Spam-Level: 
X-Spam-Status: No, score=-103.634 tagged_above=-999 required=5 tests=[AWL=-0.036, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id jqudnS8SD7nI for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 10:59:41 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id BF49511E80C1 for <clue@ietf.org>; Mon,  2 Jul 2012 10:59:41 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so9881529obb.31 for <clue@ietf.org>; Mon, 02 Jul 2012 10:59:47 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :content-type; bh=7XVWodu3A8NCGf1rDh5eMNh1i8ZVLz2r1pKyEqC+KoA=; b=xxNR/eWsybywyH8xejGkCOQHyknyR/Iw7fm+LWWSa4ncS8vXC8U4yB+Gkq/+GPp/tj 473DsWz562XnAJs7trZUwJolmO0mYzCdeDV/vrFmRtGnNo2qfG8miZQzpMJ79tICimEp xE9I8JAp0mOxARPQqNgokcammhFr5hqDgIc/K9D933PLjrKfUjHSs728Q3g72+bySY1W FjBfU2sSJK3D/0kUGeyJFZOGzsgF+e6cJ1XYjPuOVHTOGo609pcCwM3ptdcF0VPLqiIs Z2TV+/gExlNe+WYMC+X1ZJ5uP8c3bmIOGykD4U3za74d1Acmn6eHw5jwR4hUuz9qrgWE h1Dw==
MIME-Version: 1.0
Received: by 10.182.145.8 with SMTP id sq8mr9168983obb.50.1341251987126; Mon, 02 Jul 2012 10:59:47 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Mon, 2 Jul 2012 10:59:47 -0700 (PDT)
In-Reply-To: <CAHBDyN4dAW6XocF2RnG=wyYZDNt_5PFem-eTXpYuVoC=2eLDVw@mail.gmail.com>
References: <CAHBDyN4dAW6XocF2RnG=wyYZDNt_5PFem-eTXpYuVoC=2eLDVw@mail.gmail.com>
Date: Mon, 2 Jul 2012 12:59:47 -0500
Message-ID: <CAHBDyN68MM=Ap=v65nxoB_BiOWLH9P=OYz+zFDrbbL6WY-L7TQ@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=f46d044786c33f39a104c3dc90dd
Subject: Re: [clue] Minutes: Design team meeting - June 26th.
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 17:59:42 -0000

--f46d044786c33f39a104c3dc90dd
Content-Type: text/plain; charset=ISO-8859-1

One correction below (adding Espen).

On Mon, Jul 2, 2012 at 12:42 PM, Mary Barnes <mary.ietf.barnes@gmail.com>wrote:

> Hi all,
>
> Sorry for the delay in getting the minutes out (that's why it's really
> good if someone else volunteers to do the minutes).
>
> We discussed the following items.
>
> - Action items from the interim:
> -  Magnus: send text to clarify concerns with regards to the framework and
> encoding groups (per slide 6 of FW presentation) (Open) [Action: Mary to
> ping Magnus]
> - Roni will work with Jonathan to produce one RTP document including
> topologies (Ongoing)
> - Mark: update the framework based on discussions/conclusions. Remove
> Appendices per discussion.  (Ongoing)
> - Stephan: send text that needs to be added to the framework for item 3)
> above. (Done) [Action: Mary will post updated text to get consensus on
> specific update to framework]
> - Charles: once new RTP doc is available, forward to SIPREC as FYI and for
> any feedback. (Open)
> - Mary: send link to IMTC document to CLUE. (Done)
> - Allyn: develop and submit an initial call flow document for
> discussion.(Ongoing)
> - Roni: submit use cases for switched capture (Done - need feedback from
> WG on:
> http://www.ietf.org/mail-archive/web/clue/current/msg01597.html
>
> - Plans for tutorial @ IETF-84.
> --  We have had a decent response.
>
> Two items of good news:
> 1)  The vast majority of respondents thus far are non-CLUE (and
> non-RAI) folks and I've gotten positive responses from some IAB and
> IESG members.
> 2) Meetecho will be recording the session, so it will be available
> after the meeting.
>
> Two items of bad news:
> 1) We haven't had any positive responses from the RTCWEB crowd.  I
> will be sending a reminder.
> 2)   It also looks like we won't be able to provide lunch - we will
> try to get cookies at least (including GF), but the hotel wants almost
> $50 each for box lunches which is insane IMHO.
>
> -- As far as preparing and presenting the materials, the idea at this
> point is to have teams work on the presentations over the next couple
> weeks (in your spare time between updating drafts ;).  Out of each
> team, one individual will do the presentation as we can't have 10-12
> presenting.   Here's my draft proposal - note that if your name is
> here and you don't want it to be, then please holler.
>
> 1) Introduction to telepresence  (Allyn, Steve)
> Note: Marshall has been removed as he hasn't responded as to whether he is
> available.
>
> 2) Example telepresence scenarios  (Roni, Stephan (we really liked
> your example from the interim ;)  )
>
> 3) Introduction to the CLUE work (Mary, Paul, Allyn, Steve)
>
> 4) High level introduction of framework  (Allyn, Andy, Brian, Steve)
> Note: we have added Steve to this team and removed Mark as he is not
> available to work on this activity.
>
> 5) One or two use cases as examples of how the CLUE framework is
> realized - showing how existing protocols (e.g., SDP, RTP) are
> integral to the solution along with additional signaling for CLUE.
> (Rob, Jonathan, Roni, Andy, Allyn, Espen)
>
> We will need time for Q&A so it would be very tight with 5 presenters
> - note that we will include everyone who contributes to the
> presentations on a slide in the presentation.   The most important thing
> is that the material is well presented with enough detail for
> folks to grok what CLUE is doing, but not so much that they get lost
> in the detail.
>
> As far as the timeline, we really need to have a first pass within
> two weeks as it's *really* important the material flows and we want to have
> everything in one package.
>
> Discussion:
> The plan will be to review the first draft on Tuesday, July 10th. Note
>  that we need the rough drafts distributed no later than noon on  Monday,
> July 9th so folks have a chance to review before the  meeting.
>
> Action Item: Mary to send reminders, indicating no lunch will be provided.
>
> Regards,
> Mary.
>
>

--f46d044786c33f39a104c3dc90dd
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

One correction below (adding Espen).<br><br><div class=3D"gmail_quote">On M=
on, Jul 2, 2012 at 12:42 PM, Mary Barnes <span dir=3D"ltr">&lt;<a href=3D"m=
ailto:mary.ietf.barnes@gmail.com" target=3D"_blank">mary.ietf.barnes@gmail.=
com</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex"><div class=3D"gmail_quote">Hi all,</div><div=
 class=3D"gmail_quote"><br></div><div class=3D"gmail_quote">Sorry for the d=
elay in getting the minutes out (that&#39;s why it&#39;s really good if som=
eone else volunteers to do the minutes). =A0</div>

<div class=3D"gmail_quote"><br></div><div class=3D"gmail_quote">We discusse=
d the following items. =A0=A0<br>

<br>
- Action items from the interim:</div><div class=3D"gmail_quote"><div class=
=3D"gmail_quote">- =A0Magnus: send text to clarify concerns with regards to=
 the framework and encoding groups (per slide 6 of FW presentation) (Open) =
[Action: Mary to ping Magnus]</div>

<div class=3D"gmail_quote">- Roni will work with Jonathan to produce one RT=
P document including topologies (Ongoing)</div><div class=3D"gmail_quote">-=
 Mark: update the framework based on discussions/conclusions. Remove Append=
ices per discussion. =A0(Ongoing)</div>

<div class=3D"gmail_quote">- Stephan: send text that needs to be added to t=
he framework for item 3) above. (Done) [Action: Mary will post updated text=
 to get consensus on specific update to framework]</div><div class=3D"gmail=
_quote">

- Charles: once new RTP doc is available, forward to SIPREC as FYI and for =
any feedback. (Open)</div><div class=3D"gmail_quote">- Mary: send link to I=
MTC document to CLUE. (Done)</div><div class=3D"gmail_quote">- Allyn: devel=
op and submit an initial call flow document for discussion.(Ongoing)</div>

<div class=3D"gmail_quote">- Roni: submit use cases for switched capture (D=
one - need feedback from WG on: =A0</div><div class=3D"gmail_quote"><a href=
=3D"http://www.ietf.org/mail-archive/web/clue/current/msg01597.html" target=
=3D"_blank">http://www.ietf.org/mail-archive/web/clue/current/msg01597.html=
</a></div>

</div><div class=3D"gmail_quote">
<br>
- Plans for tutorial @ IETF-84.<br>
-- =A0We have had a decent response.<br>
<br>
Two items of good news:<br>
1) =A0The vast majority of respondents thus far are non-CLUE (and<br>
non-RAI) folks and I&#39;ve gotten positive responses from some IAB and<br>
IESG members.<br>
2) Meetecho will be recording the session, so it will be available<br>
after the meeting.<br>
<br>
Two items of bad news:<br>
1) We haven&#39;t had any positive responses from the RTCWEB crowd. =A0I<br=
>
will be sending a reminder.<br>
2) =A0 It also looks like we won&#39;t be able to provide lunch - we will<b=
r>
try to get cookies at least (including GF), but the hotel wants almost<br>
$50 each for box lunches which is insane IMHO.<br>
<br>
-- As far as preparing and presenting the materials, the idea at this<br>
point is to have teams work on the presentations over the next couple<br>
weeks (in your spare time between updating drafts ;). =A0Out of each<br>
team, one individual will do the presentation as we can&#39;t have 10-12<br=
>
presenting. =A0 Here&#39;s my draft proposal - note that if your name is<br=
>
here and you don&#39;t want it to be, then please holler.<br>
<br>
1) Introduction to telepresence =A0(Allyn, Steve)</div><div class=3D"gmail_=
quote">Note: Marshall has been removed as he hasn&#39;t responded as to whe=
ther he is available.=A0</div><div class=3D"gmail_quote"><br>
2) Example telepresence scenarios =A0(Roni, Stephan (we really liked<br>
your example from the interim ;) =A0)</div><div class=3D"gmail_quote"><br>
3) Introduction to the CLUE work (Mary, Paul, Allyn, Steve)</div><div class=
=3D"gmail_quote"><br>
4) High level introduction of framework =A0(Allyn, Andy, Brian, Steve)</div=
><div class=3D"gmail_quote">Note: we have added Steve to this team and remo=
ved Mark as he is not available to work on this activity.=A0</div><div clas=
s=3D"gmail_quote">


<br>
5) One or two use cases as examples of how the CLUE framework is<br>
realized - showing how existing protocols (e.g., SDP, RTP) are<br>
integral to the solution along with additional signaling for CLUE.<br>
(Rob, Jonathan, Roni, Andy, Allyn, Espen)<br>
<br>
We will need time for Q&amp;A so it would be very tight with 5 presenters<b=
r>
- note that we will include everyone who contributes to the<br>
presentations on a slide in the presentation. =A0 The most important=A0thin=
g is that the material is well presented with enough detail for<br>
folks to grok what CLUE is doing, but not so much that they get lost<br>
in the detail.<br>
<br>
As far as the timeline, we really need to have a first pass within two=A0we=
eks as it&#39;s *really* important the material flows and we want to=A0have=
 everything in one package.</div><div class=3D"gmail_quote"><br></div><div =
class=3D"gmail_quote">

Discussion:</div><div class=3D"gmail_quote">The plan will be to review the =
first draft on Tuesday, July 10th. Note =A0that we need the rough drafts di=
stributed no later than noon on =A0Monday, July 9th so folks have a chance =
to review before the =A0meeting.=A0</div>

<div class=3D"gmail_quote"><br></div><div class=3D"gmail_quote">Action Item=
: Mary to send reminders, indicating no lunch will be provided.=A0<br>
<br>
Regards,<br>
Mary.<br>
</div><br>
</blockquote></div><br>

--f46d044786c33f39a104c3dc90dd--

From ron.even.tlv@gmail.com  Mon Jul  2 11:46:53 2012
Return-Path: <ron.even.tlv@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 5701911E811F for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 11:46:53 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.598
X-Spam-Level: 
X-Spam-Status: No, score=-3.598 tagged_above=-999 required=5 tests=[AWL=-0.000, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id JA2fE17-+DR1 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 11:46:51 -0700 (PDT)
Received: from mail-wg0-f44.google.com (mail-wg0-f44.google.com [74.125.82.44]) by ietfa.amsl.com (Postfix) with ESMTP id 4886D11E80D1 for <clue@ietf.org>; Mon,  2 Jul 2012 11:46:51 -0700 (PDT)
Received: by wgbdr13 with SMTP id dr13so3747809wgb.13 for <clue@ietf.org>; Mon, 02 Jul 2012 11:46:56 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=from:to:references:in-reply-to:subject:date:message-id:mime-version :content-type:x-mailer:thread-index:content-language; bh=y0JozO2MrvCcI58ipjpdqIj6R0zqoFQF/ufC0h8f7hg=; b=l3GU0dMARmtVSQO7HAdqUpt9NKoizEJ3fPSO1CkiaauBZvdxpKFxAXzMxwfHPTfeqk YbAvCceLPmPmtfDmvD8YSei3IdUUtG+PClMfQxJ41KkqqV8ui38k5rxAaHiTV75AOKZu SchdzFrN23djSv55VCdQYrY+aAWep2UpdbjTFHnYRN4V6Yleejj/STZ7l1oa8abLEuQe F0Z2HHSyPstVSE328B0V52KezzXxetP8+G5qpIE1Ig0938BPhOGce/2lxBPpv6Q1Ft64 tQhrUI1xIvY8QWA4vssAwyWYGAMWfxa1Sz48fRoSIYCEAKgHGIBbb+2O+ZFHdoxAmEKX ZVvQ==
Received: by 10.216.235.81 with SMTP id t59mr2526803weq.156.1341254815998; Mon, 02 Jul 2012 11:46:55 -0700 (PDT)
Received: from RoniE (bzq-109-64-198-75.red.bezeqint.net. [109.64.198.75]) by mx.google.com with ESMTPS id fo7sm26274184wib.9.2012.07.02.11.46.54 (version=TLSv1/SSLv3 cipher=OTHER); Mon, 02 Jul 2012 11:46:55 -0700 (PDT)
From: "Roni Even" <ron.even.tlv@gmail.com>
To: "'Mary Barnes'" <mary.ietf.barnes@gmail.com>, "'CLUE'" <clue@ietf.org>
References: <CAHBDyN4S5Wyzx0gtO8FfZ8QVcFwaXnWP3C7RjjKwgzpy1UKqYA@mail.gmail.com>
In-Reply-To: <CAHBDyN4S5Wyzx0gtO8FfZ8QVcFwaXnWP3C7RjjKwgzpy1UKqYA@mail.gmail.com>
Date: Mon, 2 Jul 2012 21:46:37 +0200
Message-ID: <025801cd588b$65e160a0$31a421e0$@gmail.com>
MIME-Version: 1.0
Content-Type: multipart/alternative; boundary="----=_NextPart_000_0259_01CD589C.296B9030"
X-Mailer: Microsoft Outlook 14.0
Thread-Index: AQHpsvHzLd237DqviemsBenirPkCT5bdr/dg
Content-Language: en-us
Subject: Re: [clue] Concensus call: Text for "Axis of Capture"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 18:46:53 -0000

This is a multipart message in MIME format.

------=_NextPart_000_0259_01CD589C.296B9030
Content-Type: text/plain;
	charset="us-ascii"
Content-Transfer-Encoding: 7bit

Hi,

In general I am OK with the text I am just wondering about

"If the Axis of Capture Point is not specified, it means the consumer should
not assume anything about the axis of capture of the capturing device."
 
Is this the assumption or should the consumer assume that the axis of
capture is perpendicular to the center of the area of capture. If the above
sentence is specified I am wondering what is the value in providing the
point of capture.
Thanks
Roni  

 

 

From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Mary
Barnes
Sent: 02 July, 2012 7:58 PM
To: CLUE
Subject: [clue] Concensus call: Text for "Axis of Capture"

 

Per the design team call last week, we want to do a consensus call for the
text to cover the "Axis of capture".  There were several suggested updates
to Stephan's original text:

http://www.ietf.org/mail-archive/web/clue/current/msg01583.html

 

Thus, we would like folks to respond as to whether they are okay with the
following text being added to section 6.1.1 (relative to
draft-ietf-clue-framework-05 - after the two paragraphs of "point of
capture" - middle of page 11):

 


 
   Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian 
 
   (X, Y, Z) point value (virtual or physical) which describes a position 
 
   in space of a second point on the axis of capture of the capturing 
 
   device; the first point being the Point of Capture (see above).
 
 
   The axis of capture point MUST NOT be specified if the Point of Capture
   is not present for this capture device.  
   When the Axis of Capture Point attribute is specified, it must include X,
   Y and Z coordinates.  These coordinates MUST not be identical to the 
 
   Point of Capture coordinates. 
   If the Axis of Capture Point is not specified, it
   means the consumer should not assume anything about the axis of
 
   capture of the capturing device.  

 

 

So, please respond "Yes" if you think the text if fine, "Maybe" if you think
it needs tweaking (and include the suggested

tweaks). Note, we agreed to add this at the interim meeting, thus if you
answer "No", you must include 

a compelling reason why this should not be added in some form.

 

Regards,

Mary

CLUE WG co-chair

 


------=_NextPart_000_0259_01CD589C.296B9030
Content-Type: text/html;
	charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" =
xmlns:o=3D"urn:schemas-microsoft-com:office:office" =
xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" =
xmlns=3D"http://www.w3.org/TR/REC-html40"><head><META =
HTTP-EQUIV=3D"Content-Type" CONTENT=3D"text/html; =
charset=3Dus-ascii"><meta name=3DGenerator content=3D"Microsoft Word 14 =
(filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
@font-face
	{font-family:Consolas;
	panose-1:2 11 6 9 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
pre
	{mso-style-priority:99;
	mso-style-link:"HTML Preformatted Char";
	margin:0in;
	margin-bottom:.0001pt;
	font-size:10.0pt;
	font-family:"Courier New";}
span.apple-style-span
	{mso-style-name:apple-style-span;}
span.HTMLPreformattedChar
	{mso-style-name:"HTML Preformatted Char";
	mso-style-priority:99;
	mso-style-link:"HTML Preformatted";
	font-family:Consolas;}
span.EmailStyle20
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.25in 1.0in 1.25in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue =
vlink=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'>Hi,<o:p></o=
:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'>In general =
I am OK with the text I am just wondering =
about<o:p></o:p></span></p><pre style=3D'line-height:14.4pt'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'>&#8220;If =
the Axis of Capture Point is not specified, it means the consumer should =
not assume anything about the axis of capture of the capturing =
device.&#8221;<o:p></o:p></span></pre><pre =
style=3D'line-height:14.4pt'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'><o:p>&nbsp;=
</o:p></span></pre><pre style=3D'line-height:14.4pt'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'>Is this =
the assumption or should the consumer assume that the axis of capture is =
perpendicular to the center of the area of capture. If the above =
sentence is specified I am wondering what is the value in providing the =
point of capture.<o:p></o:p></span></pre><pre =
style=3D'line-height:14.4pt'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'>Thanks<o:p>=
</o:p></span></pre><pre style=3D'line-height:14.4pt'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'>Roni&nbsp; =
<o:p></o:p></span></pre><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span>=
</b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] <b>On Behalf Of =
</b>Mary Barnes<br><b>Sent:</b> 02 July, 2012 7:58 PM<br><b>To:</b> =
CLUE<br><b>Subject:</b> [clue] Concensus call: Text for &quot;Axis of =
Capture&quot;<o:p></o:p></span></p><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>Per the =
design team call last week, we want to do a consensus call for the text =
to cover the &quot;Axis of capture&quot;. &nbsp;There were several =
suggested updates to Stephan's original text:<o:p></o:p></p><div><p =
class=3DMsoNormal><a =
href=3D"http://www.ietf.org/mail-archive/web/clue/current/msg01583.html">=
http://www.ietf.org/mail-archive/web/clue/current/msg01583.html</a><o:p><=
/o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>Thus, we would like folks to respond as to whether =
they are okay with the following text being added to section 6.1.1<span =
style=3D'font-family:"Arial","sans-serif"'>&nbsp;(relative to =
draft-ietf-clue-framework-05 - after the two paragraphs of &quot;point =
of capture&quot; - middle of page =
11):</span><o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><table =
class=3DMsoNormalTable border=3D0 cellpadding=3D0 width=3D"100%" =
style=3D'width:100.0%'><tr><td style=3D'padding:.75pt .75pt .75pt =
.75pt'><div><pre =
style=3D'line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'><o=
:p>&nbsp;</o:p></pre><pre style=3D'line-height:14.4pt'>&nbsp;&nbsp; Axis =
of Capture Point: {(X, Y, Z)} A field with a single =
Cartesian&nbsp;<o:p></o:p></pre><pre =
style=3D'line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'><o=
:p>&nbsp;</o:p></pre><pre style=3D'line-height:14.4pt'>&nbsp;&nbsp; (X, =
Y, Z) point value (virtual or physical) which describes a =
position&nbsp;<o:p></o:p></pre><pre =
style=3D'line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'><o=
:p>&nbsp;</o:p></pre><pre style=3D'line-height:14.4pt'>&nbsp;&nbsp; in =
space of a second point on the axis of capture of the =
capturing&nbsp;<o:p></o:p></pre><pre =
style=3D'line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'><o=
:p>&nbsp;</o:p></pre><pre style=3D'line-height:14.4pt'>&nbsp;&nbsp; =
device; the first point being the Point of Capture (see =
above).<o:p></o:p></pre><pre =
style=3D'line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'><o=
:p>&nbsp;</o:p></pre><pre =
style=3D'line-height:14.4pt'><o:p>&nbsp;</o:p></pre><pre =
style=3D'line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'>&n=
bsp;&nbsp; The axis of capture point MUST NOT be specified if the Point =
of Capture<o:p></o:p></pre><pre =
style=3D'line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'>&n=
bsp;&nbsp; is not present for this capture device. =
&nbsp;<o:p></o:p></pre><pre =
style=3D'line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'>&n=
bsp;&nbsp; When the Axis of Capture Point attribute is specified, it =
must include X,<o:p></o:p></pre><pre =
style=3D'line-height:14.4pt'>&nbsp;&nbsp; Y and Z coordinates. =
&nbsp;These coordinates MUST not be identical to =
the&nbsp;<o:p></o:p></pre><pre =
style=3D'line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'><o=
:p>&nbsp;</o:p></pre><pre style=3D'line-height:14.4pt'>&nbsp;&nbsp; =
Point of Capture coordinates. <o:p></o:p></pre><pre =
style=3D'line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'>&n=
bsp;&nbsp;&nbsp;If the Axis of Capture Point is not specified, =
it<o:p></o:p></pre><pre style=3D'line-height:14.4pt'>&nbsp;&nbsp; means =
the consumer should not assume anything about the axis =
of<o:p></o:p></pre><pre =
style=3D'line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'><o=
:p>&nbsp;</o:p></pre><pre style=3D'line-height:14.4pt'>&nbsp;&nbsp; =
capture of the capturing device.&nbsp; <o:p></o:p></pre><div><p =
class=3DMsoNormal style=3D'line-height:12.0pt'><span =
style=3D'font-size:10.0pt;font-family:"Arial","sans-serif"'><o:p>&nbsp;</=
o:p></span></p></div><div><p class=3DMsoNormal =
style=3D'line-height:12.0pt'><span =
style=3D'font-size:10.0pt;font-family:"Arial","sans-serif"'><o:p>&nbsp;</=
o:p></span></p></div><div><p class=3DMsoNormal =
style=3D'line-height:12.0pt'><span =
style=3D'font-size:10.0pt;font-family:"Arial","sans-serif"'>So, please =
respond &quot;Yes&quot; if you think the text if fine, &quot;Maybe&quot; =
if you think it needs tweaking (and include the =
suggested<o:p></o:p></span></p></div><div><p class=3DMsoNormal =
style=3D'line-height:12.0pt'><span =
style=3D'font-size:10.0pt;font-family:"Arial","sans-serif"'>tweaks). =
Note, we agreed to add this at the interim meeting, thus if you answer =
&quot;No&quot;, you must =
include&nbsp;<o:p></o:p></span></p></div><div><p class=3DMsoNormal =
style=3D'line-height:12.0pt'><span =
style=3D'font-size:10.0pt;font-family:"Arial","sans-serif"'>a compelling =
reason why this should not be added in some =
form.<o:p></o:p></span></p></div><div><p class=3DMsoNormal =
style=3D'line-height:12.0pt'><span =
style=3D'font-size:10.0pt;font-family:"Arial","sans-serif"'><o:p>&nbsp;</=
o:p></span></p></div><div><p class=3DMsoNormal =
style=3D'line-height:12.0pt'><span =
style=3D'font-size:10.0pt;font-family:"Arial","sans-serif"'>Regards,<o:p>=
</o:p></span></p></div><div><p class=3DMsoNormal =
style=3D'line-height:12.0pt'><span =
style=3D'font-size:10.0pt;font-family:"Arial","sans-serif"'>Mary<o:p></o:=
p></span></p></div><div><p class=3DMsoNormal =
style=3D'line-height:12.0pt'><span =
style=3D'font-size:10.0pt;font-family:"Arial","sans-serif"'>CLUE WG =
co-chair<o:p></o:p></span></p></div></div></td></tr></table><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div></div></body></html>
------=_NextPart_000_0259_01CD589C.296B9030--


From mary.ietf.barnes@gmail.com  Mon Jul  2 11:47:30 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 84F0711E8105 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 11:47:30 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.633
X-Spam-Level: 
X-Spam-Status: No, score=-103.633 tagged_above=-999 required=5 tests=[AWL=-0.035, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id z5xuc7Na-nfJ for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 11:47:29 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id 7F58E11E80D1 for <clue@ietf.org>; Mon,  2 Jul 2012 11:47:29 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so9939612obb.31 for <clue@ietf.org>; Mon, 02 Jul 2012 11:47:35 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :content-type; bh=RViY33J69Toc8nqV4pMNOAbELdACUIu3hcRuqlRXssc=; b=CFbYAsfmCkgbKzxhAcL//HTQsejpnrVi6PEeunU58kWWU4wUM8fE8DB742MbjkTcG7 /P3Ozayxsk0dISRN+LGQ11mDzE6s+zuPa8KZf7RPd65zvnxKGfLUOjcE2Wjhy5ftjDc5 y9b16lSZmyUoWRrYz6eURss1h6/ba9wSfQ9iIJ1fo5Yw6EX3JiVw+Vjp8gsqGR43ouYr DKS6R+bFOHN1AfEhhvJfdW6xHB/BXK8caU5E55NzrfRtSaSLtPtmqBplHlzhhhmxrk+w eYV47rwo63U3FQqFgsCAgGM/7se6hljv5q0jVu2jeSKA8OfbCqOJ/WpmRryTOvfgQEy+ lGIw==
MIME-Version: 1.0
Received: by 10.182.145.8 with SMTP id sq8mr9378371obb.50.1341254854986; Mon, 02 Jul 2012 11:47:34 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Mon, 2 Jul 2012 11:47:34 -0700 (PDT)
In-Reply-To: <CAHBDyN4dAW6XocF2RnG=wyYZDNt_5PFem-eTXpYuVoC=2eLDVw@mail.gmail.com>
References: <CAHBDyN4dAW6XocF2RnG=wyYZDNt_5PFem-eTXpYuVoC=2eLDVw@mail.gmail.com>
Date: Mon, 2 Jul 2012 13:47:34 -0500
Message-ID: <CAHBDyN59i=UeQHq0sM04H2NDP_OYBAsy=Y6WLA4Bvdde6E7XZg@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=f46d044786c32f4c0e04c3dd3b3a
Subject: Re: [clue] Minutes: Design team meeting - June 26th.
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 18:47:30 -0000

--f46d044786c32f4c0e04c3dd3b3a
Content-Type: text/plain; charset=ISO-8859-1

Hi all,

Roni highlighted that we did also discuss the time allotment.  I've added
proposed times below.

Mary.

On Mon, Jul 2, 2012 at 12:42 PM, Mary Barnes <mary.ietf.barnes@gmail.com>wrote:

> Hi all,
>
> Sorry for the delay in getting the minutes out (that's why it's really
> good if someone else volunteers to do the minutes).
>
> We discussed the following items.
>
> - Action items from the interim:
> -  Magnus: send text to clarify concerns with regards to the framework and
> encoding groups (per slide 6 of FW presentation) (Open) [Action: Mary to
> ping Magnus]
> - Roni will work with Jonathan to produce one RTP document including
> topologies (Ongoing)
> - Mark: update the framework based on discussions/conclusions. Remove
> Appendices per discussion.  (Ongoing)
> - Stephan: send text that needs to be added to the framework for item 3)
> above. (Done) [Action: Mary will post updated text to get consensus on
> specific update to framework]
> - Charles: once new RTP doc is available, forward to SIPREC as FYI and for
> any feedback. (Open)
> - Mary: send link to IMTC document to CLUE. (Done)
> - Allyn: develop and submit an initial call flow document for
> discussion.(Ongoing)
> - Roni: submit use cases for switched capture (Done - need feedback from
> WG on:
> http://www.ietf.org/mail-archive/web/clue/current/msg01597.html
>
> - Plans for tutorial @ IETF-84.
> --  We have had a decent response.
>
> Two items of good news:
> 1)  The vast majority of respondents thus far are non-CLUE (and
> non-RAI) folks and I've gotten positive responses from some IAB and
> IESG members.
> 2) Meetecho will be recording the session, so it will be available
> after the meeting.
>
> Two items of bad news:
> 1) We haven't had any positive responses from the RTCWEB crowd.  I
> will be sending a reminder.
> 2)   It also looks like we won't be able to provide lunch - we will
> try to get cookies at least (including GF), but the hotel wants almost
> $50 each for box lunches which is insane IMHO.
>
> -- As far as preparing and presenting the materials, the idea at this
> point is to have teams work on the presentations over the next couple
> weeks (in your spare time between updating drafts ;).  Out of each
> team, one individual will do the presentation as we can't have 10-12
> presenting.   Here's my draft proposal - note that if your name is
> here and you don't want it to be, then please holler.
>
> 1) Introduction to telepresence  (Allyn, Steve)
> Note: Marshall has been removed as he hasn't responded as to whether he is
> available.  (10 min)
>
> 2) Example telepresence scenarios  (Roni, Stephan (we really liked
> your example from the interim ;), Allyn  )  (15)
>
> 3) Introduction to the CLUE work (Mary, Paul, Allyn, Steve) (5)
>
> 4) High level introduction of framework  (Allyn, Andy, Brian, Steve)
> Note: we have added Steve to this team and removed Mark as he is not
> available to work on this activity.  (15)
>
> 5) One or two use cases as examples of how the CLUE framework is
> realized - showing how existing protocols (e.g., SDP, RTP) are
> integral to the solution along with additional signaling for CLUE.
> (Rob, Jonathan, Roni, Andy, Allyn, Espen)  (20)
>

 6) Q&A: 15

>
> We will need time for Q&A so it would be very tight with 5 presenters
> - note that we will include everyone who contributes to the
> presentations on a slide in the presentation.   The most important thing
> is that the material is well presented with enough detail for
> folks to grok what CLUE is doing, but not so much that they get lost
> in the detail.
>
> As far as the timeline, we really need to have a first pass within
> two weeks as it's *really* important the material flows and we want to have
> everything in one package.
>
> Discussion:
> The plan will be to review the first draft on Tuesday, July 10th. Note
>  that we need the rough drafts distributed no later than noon on  Monday,
> July 9th so folks have a chance to review before the  meeting.
>
> Action Item: Mary to send reminders, indicating no lunch will be provided.
>
> Regards,
> Mary.
>
>

--f46d044786c32f4c0e04c3dd3b3a
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

Hi all,<div><br></div><div>Roni highlighted that we did also discuss the ti=
me allotment. =A0I&#39;ve added proposed times below. =A0</div><div><br></d=
iv><div>Mary.<br><br><div class=3D"gmail_quote">On Mon, Jul 2, 2012 at 12:4=
2 PM, Mary Barnes <span dir=3D"ltr">&lt;<a href=3D"mailto:mary.ietf.barnes@=
gmail.com" target=3D"_blank">mary.ietf.barnes@gmail.com</a>&gt;</span> wrot=
e:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex"><div class=3D"gmail_quote">Hi all,</div><div=
 class=3D"gmail_quote"><br></div><div class=3D"gmail_quote">Sorry for the d=
elay in getting the minutes out (that&#39;s why it&#39;s really good if som=
eone else volunteers to do the minutes). =A0</div>

<div class=3D"gmail_quote"><br></div><div class=3D"gmail_quote">We discusse=
d the following items. =A0=A0<br>

<br>
- Action items from the interim:</div><div class=3D"gmail_quote"><div class=
=3D"gmail_quote">- =A0Magnus: send text to clarify concerns with regards to=
 the framework and encoding groups (per slide 6 of FW presentation) (Open) =
[Action: Mary to ping Magnus]</div>

<div class=3D"gmail_quote">- Roni will work with Jonathan to produce one RT=
P document including topologies (Ongoing)</div><div class=3D"gmail_quote">-=
 Mark: update the framework based on discussions/conclusions. Remove Append=
ices per discussion. =A0(Ongoing)</div>

<div class=3D"gmail_quote">- Stephan: send text that needs to be added to t=
he framework for item 3) above. (Done) [Action: Mary will post updated text=
 to get consensus on specific update to framework]</div><div class=3D"gmail=
_quote">

- Charles: once new RTP doc is available, forward to SIPREC as FYI and for =
any feedback. (Open)</div><div class=3D"gmail_quote">- Mary: send link to I=
MTC document to CLUE. (Done)</div><div class=3D"gmail_quote">- Allyn: devel=
op and submit an initial call flow document for discussion.(Ongoing)</div>

<div class=3D"gmail_quote">- Roni: submit use cases for switched capture (D=
one - need feedback from WG on: =A0</div><div class=3D"gmail_quote"><a href=
=3D"http://www.ietf.org/mail-archive/web/clue/current/msg01597.html" target=
=3D"_blank">http://www.ietf.org/mail-archive/web/clue/current/msg01597.html=
</a></div>

</div><div class=3D"gmail_quote">
<br>
- Plans for tutorial @ IETF-84.<br>
-- =A0We have had a decent response.<br>
<br>
Two items of good news:<br>
1) =A0The vast majority of respondents thus far are non-CLUE (and<br>
non-RAI) folks and I&#39;ve gotten positive responses from some IAB and<br>
IESG members.<br>
2) Meetecho will be recording the session, so it will be available<br>
after the meeting.<br>
<br>
Two items of bad news:<br>
1) We haven&#39;t had any positive responses from the RTCWEB crowd. =A0I<br=
>
will be sending a reminder.<br>
2) =A0 It also looks like we won&#39;t be able to provide lunch - we will<b=
r>
try to get cookies at least (including GF), but the hotel wants almost<br>
$50 each for box lunches which is insane IMHO.<br>
<br>
-- As far as preparing and presenting the materials, the idea at this<br>
point is to have teams work on the presentations over the next couple<br>
weeks (in your spare time between updating drafts ;). =A0Out of each<br>
team, one individual will do the presentation as we can&#39;t have 10-12<br=
>
presenting. =A0 Here&#39;s my draft proposal - note that if your name is<br=
>
here and you don&#39;t want it to be, then please holler.<br>
<br>
1) Introduction to telepresence =A0(Allyn, Steve)</div><div class=3D"gmail_=
quote">Note: Marshall has been removed as he hasn&#39;t responded as to whe=
ther he is available. =A0(10 min)</div><div class=3D"gmail_quote"><br>
2) Example telepresence scenarios =A0(Roni, Stephan (we really liked<br>
your example from the interim ;), Allyn =A0) =A0(15)</div><div class=3D"gma=
il_quote"><br>
3) Introduction to the CLUE work (Mary, Paul, Allyn, Steve) (5)</div><div c=
lass=3D"gmail_quote"><br>
4) High level introduction of framework =A0(Allyn, Andy, Brian, Steve)</div=
><div class=3D"gmail_quote">Note: we have added Steve to this team and remo=
ved Mark as he is not available to work on this activity. =A0(15)</div><div=
 class=3D"gmail_quote">


<br>
5) One or two use cases as examples of how the CLUE framework is<br>
realized - showing how existing protocols (e.g., SDP, RTP) are<br>
integral to the solution along with additional signaling for CLUE.<br>
(Rob, Jonathan, Roni, Andy, Allyn, Espen) =A0(20)<br></div></blockquote><di=
v><br></div><div>=A06) Q&amp;A: 15=A0</div><blockquote class=3D"gmail_quote=
" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><=
div class=3D"gmail_quote">

<br>
We will need time for Q&amp;A so it would be very tight with 5 presenters<b=
r>
- note that we will include everyone who contributes to the<br>
presentations on a slide in the presentation. =A0 The most important=A0thin=
g is that the material is well presented with enough detail for<br>
folks to grok what CLUE is doing, but not so much that they get lost<br>
in the detail.<br>
<br>
As far as the timeline, we really need to have a first pass within two=A0we=
eks as it&#39;s *really* important the material flows and we want to=A0have=
 everything in one package.</div><div class=3D"gmail_quote"><br></div><div =
class=3D"gmail_quote">

Discussion:</div><div class=3D"gmail_quote">The plan will be to review the =
first draft on Tuesday, July 10th. Note =A0that we need the rough drafts di=
stributed no later than noon on =A0Monday, July 9th so folks have a chance =
to review before the =A0meeting.=A0</div>

<div class=3D"gmail_quote"><br></div><div class=3D"gmail_quote">Action Item=
: Mary to send reminders, indicating no lunch will be provided.=A0<br>
<br>
Regards,<br>
Mary.<br>
</div><br>
</blockquote></div><br></div>

--f46d044786c32f4c0e04c3dd3b3a--

From Mark.Duckworth@polycom.com  Mon Jul  2 13:32:31 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id E407411E8083 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 13:32:31 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -5.948
X-Spam-Level: 
X-Spam-Status: No, score=-5.948 tagged_above=-999 required=5 tests=[AWL=0.650,  BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id dhZp36xsRe8A for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 13:32:31 -0700 (PDT)
Received: from crpehubprd02.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id D346921F85F2 for <clue@ietf.org>; Mon,  2 Jul 2012 13:32:28 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::ad68:5a0:c919:66b6]) by crpehubprd02.polycom.com ([fe80::5efe:10.236.0.154%12]) with mapi; Mon, 2 Jul 2012 13:32:34 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Mon, 2 Jul 2012 13:32:32 -0700
Thread-Topic: [clue] Concensus call: Text for "Axis of Capture"
Thread-Index: Ac1YfEeKwMOMsNqfQJOmr7lDOWwn9AAFXlVA
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F0E@CRPMBOXPRD01.polycom.com>
References: <CAHBDyN4S5Wyzx0gtO8FfZ8QVcFwaXnWP3C7RjjKwgzpy1UKqYA@mail.gmail.com>
In-Reply-To: <CAHBDyN4S5Wyzx0gtO8FfZ8QVcFwaXnWP3C7RjjKwgzpy1UKqYA@mail.gmail.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: multipart/alternative; boundary="_000_44C6B6B2D0CF424AA90B6055548D7A6102FE035F0ECRPMBOXPRD01p_"
MIME-Version: 1.0
Subject: Re: [clue] Concensus call: Text for "Axis of Capture"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 20:32:32 -0000

--_000_44C6B6B2D0CF424AA90B6055548D7A6102FE035F0ECRPMBOXPRD01p_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

Yes.

From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Mar=
y Barnes
Sent: Monday, July 02, 2012 1:58 PM
To: CLUE
Subject: [clue] Concensus call: Text for "Axis of Capture"

Per the design team call last week, we want to do a consensus call for the =
text to cover the "Axis of capture".  There were several suggested updates =
to Stephan's original text:
http://www.ietf.org/mail-archive/web/clue/current/msg01583.html

Thus, we would like folks to respond as to whether they are okay with the f=
ollowing text being added to section 6.1.1 (relative to draft-ietf-clue-fra=
mework-05 - after the two paragraphs of "point of capture" - middle of page=
 11):




   Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian



   (X, Y, Z) point value (virtual or physical) which describes a position



   in space of a second point on the axis of capture of the capturing



   device; the first point being the Point of Capture (see above).





   The axis of capture point MUST NOT be specified if the Point of Capture

   is not present for this capture device.

   When the Axis of Capture Point attribute is specified, it must include X=
,

   Y and Z coordinates.  These coordinates MUST not be identical to the



   Point of Capture coordinates.

   If the Axis of Capture Point is not specified, it

   means the consumer should not assume anything about the axis of



   capture of the capturing device.


So, please respond "Yes" if you think the text if fine, "Maybe" if you thin=
k it needs tweaking (and include the suggested
tweaks). Note, we agreed to add this at the interim meeting, thus if you an=
swer "No", you must include
a compelling reason why this should not be added in some form.

Regards,
Mary
CLUE WG co-chair



--_000_44C6B6B2D0CF424AA90B6055548D7A6102FE035F0ECRPMBOXPRD01p_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40"><head><META HTTP-EQUIV=3D"Content-Type" CONTENT=
=3D"text/html; charset=3Dus-ascii"><meta name=3DGenerator content=3D"Micros=
oft Word 14 (filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
@font-face
	{font-family:Consolas;
	panose-1:2 11 6 9 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
pre
	{mso-style-priority:99;
	mso-style-link:"HTML Preformatted Char";
	margin:0in;
	margin-bottom:.0001pt;
	font-size:10.0pt;
	font-family:"Courier New";}
span.apple-style-span
	{mso-style-name:apple-style-span;}
span.HTMLPreformattedChar
	{mso-style-name:"HTML Preformatted Char";
	mso-style-priority:99;
	mso-style-link:"HTML Preformatted";
	font-family:Consolas;}
span.EmailStyle20
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue vli=
nk=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal><span style=3D'f=
ont-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Yes.<o:p>=
</o:p></span></p><p class=3DMsoNormal><span style=3D'font-size:11.0pt;font-=
family:"Calibri","sans-serif";color:#1F497D'><o:p>&nbsp;</o:p></span></p><d=
iv style=3D'border:none;border-left:solid blue 1.5pt;padding:0in 0in 0in 4.=
0pt'><div><div style=3D'border:none;border-top:solid #B5C4DF 1.0pt;padding:=
3.0pt 0in 0in 0in'><p class=3DMsoNormal><b><span style=3D'font-size:10.0pt;=
font-family:"Tahoma","sans-serif"'>From:</span></b><span style=3D'font-size=
:10.0pt;font-family:"Tahoma","sans-serif"'> clue-bounces@ietf.org [mailto:c=
lue-bounces@ietf.org] <b>On Behalf Of </b>Mary Barnes<br><b>Sent:</b> Monda=
y, July 02, 2012 1:58 PM<br><b>To:</b> CLUE<br><b>Subject:</b> [clue] Conce=
nsus call: Text for &quot;Axis of Capture&quot;<o:p></o:p></span></p></div>=
</div><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>Per th=
e design team call last week, we want to do a consensus call for the text t=
o cover the &quot;Axis of capture&quot;. &nbsp;There were several suggested=
 updates to Stephan's original text:<o:p></o:p></p><div><p class=3DMsoNorma=
l><a href=3D"http://www.ietf.org/mail-archive/web/clue/current/msg01583.htm=
l">http://www.ietf.org/mail-archive/web/clue/current/msg01583.html</a><o:p>=
</o:p></p></div><div><p class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><=
p class=3DMsoNormal>Thus, we would like folks to respond as to whether they=
 are okay with the following text being added to section 6.1.1<span style=
=3D'font-family:"Arial","sans-serif"'>&nbsp;(relative to draft-ietf-clue-fr=
amework-05 - after the two paragraphs of &quot;point of capture&quot; - mid=
dle of page 11):</span><o:p></o:p></p></div><div><p class=3DMsoNormal><o:p>=
&nbsp;</o:p></p></div><div><table class=3DMsoNormalTable border=3D0 cellpad=
ding=3D0 width=3D"100%" style=3D'width:100.0%'><tr><td style=3D'padding:.75=
pt .75pt .75pt .75pt'><div><pre style=3D'line-height:14.4pt;white-space:pre=
-wrap;word-wrap:break-word'><o:p>&nbsp;</o:p></pre><pre style=3D'line-heigh=
t:14.4pt'>&nbsp;&nbsp; Axis of Capture Point: {(X, Y, Z)} A field with a si=
ngle Cartesian&nbsp;<o:p></o:p></pre><pre style=3D'line-height:14.4pt;white=
-space:pre-wrap;word-wrap:break-word'><o:p>&nbsp;</o:p></pre><pre style=3D'=
line-height:14.4pt'>&nbsp;&nbsp; (X, Y, Z) point value (virtual or physical=
) which describes a position&nbsp;<o:p></o:p></pre><pre style=3D'line-heigh=
t:14.4pt;white-space:pre-wrap;word-wrap:break-word'><o:p>&nbsp;</o:p></pre>=
<pre style=3D'line-height:14.4pt'>&nbsp;&nbsp; in space of a second point o=
n the axis of capture of the capturing&nbsp;<o:p></o:p></pre><pre style=3D'=
line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'><o:p>&nbsp;</=
o:p></pre><pre style=3D'line-height:14.4pt'>&nbsp;&nbsp; device; the first =
point being the Point of Capture (see above).<o:p></o:p></pre><pre style=3D=
'line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'><o:p>&nbsp;<=
/o:p></pre><pre style=3D'line-height:14.4pt'><o:p>&nbsp;</o:p></pre><pre st=
yle=3D'line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'>&nbsp;=
&nbsp; The axis of capture point MUST NOT be specified if the Point of Capt=
ure<o:p></o:p></pre><pre style=3D'line-height:14.4pt;white-space:pre-wrap;w=
ord-wrap:break-word'>&nbsp;&nbsp; is not present for this capture device. &=
nbsp;<o:p></o:p></pre><pre style=3D'line-height:14.4pt;white-space:pre-wrap=
;word-wrap:break-word'>&nbsp;&nbsp; When the Axis of Capture Point attribut=
e is specified, it must include X,<o:p></o:p></pre><pre style=3D'line-heigh=
t:14.4pt'>&nbsp;&nbsp; Y and Z coordinates. &nbsp;These coordinates MUST no=
t be identical to the&nbsp;<o:p></o:p></pre><pre style=3D'line-height:14.4p=
t;white-space:pre-wrap;word-wrap:break-word'><o:p>&nbsp;</o:p></pre><pre st=
yle=3D'line-height:14.4pt'>&nbsp;&nbsp; Point of Capture coordinates. <o:p>=
</o:p></pre><pre style=3D'line-height:14.4pt;white-space:pre-wrap;word-wrap=
:break-word'>&nbsp;&nbsp;&nbsp;If the Axis of Capture Point is not specifie=
d, it<o:p></o:p></pre><pre style=3D'line-height:14.4pt'>&nbsp;&nbsp; means =
the consumer should not assume anything about the axis of<o:p></o:p></pre><=
pre style=3D'line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word'>=
<o:p>&nbsp;</o:p></pre><pre style=3D'line-height:14.4pt'>&nbsp;&nbsp; captu=
re of the capturing device.&nbsp; <o:p></o:p></pre><div><p class=3DMsoNorma=
l style=3D'line-height:12.0pt'><span style=3D'font-size:10.0pt;font-family:=
"Arial","sans-serif"'><o:p>&nbsp;</o:p></span></p></div><div><p class=3DMso=
Normal style=3D'line-height:12.0pt'><span style=3D'font-size:10.0pt;font-fa=
mily:"Arial","sans-serif"'><o:p>&nbsp;</o:p></span></p></div><div><p class=
=3DMsoNormal style=3D'line-height:12.0pt'><span style=3D'font-size:10.0pt;f=
ont-family:"Arial","sans-serif"'>So, please respond &quot;Yes&quot; if you =
think the text if fine, &quot;Maybe&quot; if you think it needs tweaking (a=
nd include the suggested<o:p></o:p></span></p></div><div><p class=3DMsoNorm=
al style=3D'line-height:12.0pt'><span style=3D'font-size:10.0pt;font-family=
:"Arial","sans-serif"'>tweaks). Note, we agreed to add this at the interim =
meeting, thus if you answer &quot;No&quot;, you must include&nbsp;<o:p></o:=
p></span></p></div><div><p class=3DMsoNormal style=3D'line-height:12.0pt'><=
span style=3D'font-size:10.0pt;font-family:"Arial","sans-serif"'>a compelli=
ng reason why this should not be added in some form.<o:p></o:p></span></p><=
/div><div><p class=3DMsoNormal style=3D'line-height:12.0pt'><span style=3D'=
font-size:10.0pt;font-family:"Arial","sans-serif"'><o:p>&nbsp;</o:p></span>=
</p></div><div><p class=3DMsoNormal style=3D'line-height:12.0pt'><span styl=
e=3D'font-size:10.0pt;font-family:"Arial","sans-serif"'>Regards,<o:p></o:p>=
</span></p></div><div><p class=3DMsoNormal style=3D'line-height:12.0pt'><sp=
an style=3D'font-size:10.0pt;font-family:"Arial","sans-serif"'>Mary<o:p></o=
:p></span></p></div><div><p class=3DMsoNormal style=3D'line-height:12.0pt'>=
<span style=3D'font-size:10.0pt;font-family:"Arial","sans-serif"'>CLUE WG c=
o-chair<o:p></o:p></span></p></div></div></td></tr></table><p class=3DMsoNo=
rmal><o:p>&nbsp;</o:p></p></div></div></div></body></html>=

--_000_44C6B6B2D0CF424AA90B6055548D7A6102FE035F0ECRPMBOXPRD01p_--

From stewe@stewe.org  Mon Jul  2 13:51:33 2012
Return-Path: <stewe@stewe.org>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 3679011E8127 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 13:51:33 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.813
X-Spam-Level: 
X-Spam-Status: No, score=-3.813 tagged_above=-999 required=5 tests=[AWL=-0.215, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id ai+Ly7oGyG35 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 13:51:32 -0700 (PDT)
Received: from va3outboundpool.messaging.microsoft.com (va3ehsobe003.messaging.microsoft.com [216.32.180.13]) by ietfa.amsl.com (Postfix) with ESMTP id BDB4211E8125 for <clue@ietf.org>; Mon,  2 Jul 2012 13:51:31 -0700 (PDT)
Received: from mail72-va3-R.bigfish.com (10.7.14.238) by VA3EHSOBE011.bigfish.com (10.7.40.61) with Microsoft SMTP Server id 14.1.225.23; Mon, 2 Jul 2012 20:49:39 +0000
Received: from mail72-va3 (localhost [127.0.0.1])	by mail72-va3-R.bigfish.com (Postfix) with ESMTP id 9E73F320272; Mon,  2 Jul 2012 20:49:39 +0000 (UTC)
X-Forefront-Antispam-Report: CIP:157.56.240.133; KIP:(null); UIP:(null); IPV:NLI; H:BL2PRD0710HT005.namprd07.prod.outlook.com; RD:none; EFVD:NLI
X-SpamScore: -15
X-BigFish: PS-15(zz9371Ic85ehzz1202h1082kzz1033IL8275bh8275dhz2fh2a8h668h839he5bhf0ahbe3k)
Received-SPF: pass (mail72-va3: domain of stewe.org designates 157.56.240.133 as permitted sender) client-ip=157.56.240.133; envelope-from=stewe@stewe.org; helo=BL2PRD0710HT005.namprd07.prod.outlook.com ; .outlook.com ; 
Received: from mail72-va3 (localhost.localdomain [127.0.0.1]) by mail72-va3 (MessageSwitch) id 1341262176993113_1445; Mon,  2 Jul 2012 20:49:36 +0000 (UTC)
Received: from VA3EHSMHS015.bigfish.com (unknown [10.7.14.236])	by mail72-va3.bigfish.com (Postfix) with ESMTP id EF270300145; Mon,  2 Jul 2012 20:49:36 +0000 (UTC)
Received: from BL2PRD0710HT005.namprd07.prod.outlook.com (157.56.240.133) by VA3EHSMHS015.bigfish.com (10.7.99.25) with Microsoft SMTP Server (TLS) id 14.1.225.23; Mon, 2 Jul 2012 20:49:36 +0000
Received: from BL2PRD0710MB349.namprd07.prod.outlook.com ([169.254.1.88]) by BL2PRD0710HT005.namprd07.prod.outlook.com ([10.255.102.40]) with mapi id 14.16.0164.004; Mon, 2 Jul 2012 20:51:32 +0000
From: Stephan Wenger <stewe@stewe.org>
To: Roni Even <ron.even.tlv@gmail.com>, 'Mary Barnes' <mary.ietf.barnes@gmail.com>, 'CLUE' <clue@ietf.org>
Thread-Topic: [clue] Concensus call: Text for "Axis of Capture"
Thread-Index: AQHNWHxI34qTJcK9ukK23IKhHJJttZcWZdCAgAAzpoA=
Date: Mon, 2 Jul 2012 20:51:32 +0000
Message-ID: <CC17D4C0.889DC%stewe@stewe.org>
In-Reply-To: <025801cd588b$65e160a0$31a421e0$@gmail.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.255.102.5]
Content-Type: multipart/alternative; boundary="_000_CC17D4C0889DCstewesteweorg_"
MIME-Version: 1.0
X-OriginatorOrg: stewe.org
Subject: Re: [clue] Concensus call: Text for "Axis of Capture"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 20:51:33 -0000

--_000_CC17D4C0889DCstewesteweorg_
Content-Type: text/plain; charset="Windows-1252"
Content-Transfer-Encoding: quoted-printable

Lousy internet connection=97let's see whether this gets through=85
Roni, without any changes, y reading of the text proposed is that there is =
no axis of capture knowledge unless both point and axis of capture are spec=
ified.  No inference of the axis of capture from the field of capture is im=
plied.
I think I support this proposal.  It is trivial to calculate a point of cap=
ture even if point of capture is identical with the center of the field of =
capture coordinates.   The signaling may be unnecessary if we were  mandati=
ng a condition as you implicitly propose it, but bits on this level ought t=
o be cheap.  Suggest we be explicit and say either point of capture is spec=
ified, or no one knows.
Stephan


From: Roni Even <ron.even.tlv@gmail.com<mailto:ron.even.tlv@gmail.com>>
Date: Monday, 2 July, 2012 12:46
To: 'Mary Barnes' <mary.ietf.barnes@gmail.com<mailto:mary.ietf.barnes@gmail=
.com>>, 'CLUE' <clue@ietf.org<mailto:clue@ietf.org>>
Subject: Re: [clue] Concensus call: Text for "Axis of Capture"

Hi,
In general I am OK with the text I am just wondering about

=93If the Axis of Capture Point is not specified, it means the consumer sho=
uld not assume anything about the axis of capture of the capturing device.=
=94



Is this the assumption or should the consumer assume that the axis of captu=
re is perpendicular to the center of the area of capture. If the above sent=
ence is specified I am wondering what is the value in providing the point o=
f capture.

Thanks

Roni


From: clue-bounces@ietf.org<mailto:clue-bounces@ietf.org> [mailto:clue-boun=
ces@ietf.org] On Behalf Of Mary Barnes
Sent: 02 July, 2012 7:58 PM
To: CLUE
Subject: [clue] Concensus call: Text for "Axis of Capture"

Per the design team call last week, we want to do a consensus call for the =
text to cover the "Axis of capture".  There were several suggested updates =
to Stephan's original text:
http://www.ietf.org/mail-archive/web/clue/current/msg01583.html

Thus, we would like folks to respond as to whether they are okay with the f=
ollowing text being added to section 6.1.1 (relative to draft-ietf-clue-fra=
mework-05 - after the two paragraphs of "point of capture" - middle of page=
 11):




   Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian



   (X, Y, Z) point value (virtual or physical) which describes a position



   in space of a second point on the axis of capture of the capturing



   device; the first point being the Point of Capture (see above).





   The axis of capture point MUST NOT be specified if the Point of Capture

   is not present for this capture device.

   When the Axis of Capture Point attribute is specified, it must include X=
,

   Y and Z coordinates.  These coordinates MUST not be identical to the



   Point of Capture coordinates.

   If the Axis of Capture Point is not specified, it

   means the consumer should not assume anything about the axis of



   capture of the capturing device.


So, please respond "Yes" if you think the text if fine, "Maybe" if you thin=
k it needs tweaking (and include the suggested
tweaks). Note, we agreed to add this at the interim meeting, thus if you an=
swer "No", you must include
a compelling reason why this should not be added in some form.

Regards,
Mary
CLUE WG co-chair



--_000_CC17D4C0889DCstewesteweorg_
Content-Type: text/html; charset="Windows-1252"
Content-ID: <8653FF80A5857041B3BD1ADCBFC9292E@namprd07.prod.outlook.com>
Content-Transfer-Encoding: quoted-printable

<html>
<head>
<meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3DWindows-1=
252">
</head>
<body style=3D"word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-lin=
e-break: after-white-space; color: rgb(0, 0, 0); font-size: 14px; font-fami=
ly: Calibri, sans-serif; ">
<div>Lousy internet connection=97let's see whether this gets through=85</di=
v>
<div>Roni, without any changes, y reading of the text proposed is that ther=
e is no axis of capture knowledge unless both point and axis of capture are=
 specified. &nbsp;No inference of the axis of capture from the field of cap=
ture is implied. &nbsp;&nbsp;</div>
<div>I think I support this proposal. &nbsp;It is trivial to calculate a po=
int of capture even if point of capture is identical with the center of the=
 field of capture coordinates. &nbsp; The signaling may be unnecessary if w=
e were &nbsp;mandating a condition as you implicitly
 propose it, but bits on this level ought to be cheap. &nbsp;Suggest we be =
explicit and say either point of capture is specified, or no one knows.</di=
v>
<div>Stephan</div>
<div><br>
</div>
<div><br>
</div>
<span id=3D"OLK_SRC_BODY_SECTION">
<div style=3D"font-family:Calibri; font-size:11pt; text-align:left; color:b=
lack; BORDER-BOTTOM: medium none; BORDER-LEFT: medium none; PADDING-BOTTOM:=
 0in; PADDING-LEFT: 0in; PADDING-RIGHT: 0in; BORDER-TOP: #b5c4df 1pt solid;=
 BORDER-RIGHT: medium none; PADDING-TOP: 3pt">
<span style=3D"font-weight:bold">From: </span>Roni Even &lt;<a href=3D"mail=
to:ron.even.tlv@gmail.com">ron.even.tlv@gmail.com</a>&gt;<br>
<span style=3D"font-weight:bold">Date: </span>Monday, 2 July, 2012 12:46 <b=
r>
<span style=3D"font-weight:bold">To: </span>'Mary Barnes' &lt;<a href=3D"ma=
ilto:mary.ietf.barnes@gmail.com">mary.ietf.barnes@gmail.com</a>&gt;, 'CLUE'=
 &lt;<a href=3D"mailto:clue@ietf.org">clue@ietf.org</a>&gt;<br>
<span style=3D"font-weight:bold">Subject: </span>Re: [clue] Concensus call:=
 Text for &quot;Axis of Capture&quot;<br>
</div>
<div><br>
</div>
<div xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micro=
soft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" x=
mlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:/=
/www.w3.org/TR/REC-html40">
<meta name=3D"Generator" content=3D"Microsoft Word 14 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
@font-face
	{font-family:Consolas;
	panose-1:2 11 6 9 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
pre
	{mso-style-priority:99;
	mso-style-link:"HTML Preformatted Char";
	margin:0in;
	margin-bottom:.0001pt;
	font-size:10.0pt;
	font-family:"Courier New";}
span.apple-style-span
	{mso-style-name:apple-style-span;}
span.HTMLPreformattedChar
	{mso-style-name:"HTML Preformatted Char";
	mso-style-priority:99;
	mso-style-link:"HTML Preformatted";
	font-family:Consolas;}
span.EmailStyle20
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.25in 1.0in 1.25in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]-->
<div lang=3D"EN-US" link=3D"blue" vlink=3D"purple">
<div class=3D"WordSection1">
<p class=3D"MsoNormal"><span style=3D"font-size: 11pt; font-family: Calibri=
, sans-serif; ">Hi,<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size: 11pt; font-family: Calibri=
, sans-serif; ">In general I am OK with the text I am just wondering about<=
o:p></o:p></span></p>
<pre style=3D"line-height:14.4pt"><span style=3D"font-size: 11pt; font-fami=
ly: Calibri, sans-serif; ">=93If the Axis of Capture Point is not specified=
, it means the consumer should not assume anything about the axis of captur=
e of the capturing device.=94<o:p></o:p></span></pre>
<pre style=3D"line-height:14.4pt"><span style=3D"font-size: 11pt; font-fami=
ly: Calibri, sans-serif; "><o:p>&nbsp;</o:p></span></pre>
<pre style=3D"line-height:14.4pt"><span style=3D"font-size: 11pt; font-fami=
ly: Calibri, sans-serif; ">Is this the assumption or should the consumer as=
sume that the axis of capture is perpendicular to the center of the area of=
 capture. If the above sentence is specified I am wondering what is the val=
ue in providing the point of capture.<o:p></o:p></span></pre>
<pre style=3D"line-height:14.4pt"><span style=3D"font-size: 11pt; font-fami=
ly: Calibri, sans-serif; ">Thanks<o:p></o:p></span></pre>
<pre style=3D"line-height:14.4pt"><span style=3D"font-size: 11pt; font-fami=
ly: Calibri, sans-serif; ">Roni&nbsp; <o:p></o:p></span></pre>
<p class=3D"MsoNormal"><span style=3D"font-size: 11pt; color: rgb(31, 73, 1=
25); font-family: Calibri, sans-serif; "><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size: 11pt; color: rgb(31, 73, 1=
25); font-family: Calibri, sans-serif; "><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNormal"><b><span style=3D"font-size: 10pt; font-family: Taho=
ma, sans-serif; ">From:</span></b><span style=3D"font-size: 10pt; font-fami=
ly: Tahoma, sans-serif; ">
<a href=3D"mailto:clue-bounces@ietf.org">clue-bounces@ietf.org</a> [<a href=
=3D"mailto:clue-bounces@ietf.org">mailto:clue-bounces@ietf.org</a>]
<b>On Behalf Of </b>Mary Barnes<br>
<b>Sent:</b> 02 July, 2012 7:58 PM<br>
<b>To:</b> CLUE<br>
<b>Subject:</b> [clue] Concensus call: Text for &quot;Axis of Capture&quot;=
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p class=3D"MsoNormal">Per the design team call last week, we want to do a =
consensus call for the text to cover the &quot;Axis of capture&quot;. &nbsp=
;There were several suggested updates to Stephan's original text:<o:p></o:p=
></p>
<div>
<p class=3D"MsoNormal"><a href=3D"http://www.ietf.org/mail-archive/web/clue=
/current/msg01583.html">http://www.ietf.org/mail-archive/web/clue/current/m=
sg01583.html</a><o:p></o:p></p>
</div>
<div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
</div>
<div>
<p class=3D"MsoNormal">Thus, we would like folks to respond as to whether t=
hey are okay with the following text being added to section 6.1.1<span styl=
e=3D"font-family: Arial, sans-serif; ">&nbsp;(relative to draft-ietf-clue-f=
ramework-05 - after the two paragraphs of
 &quot;point of capture&quot; - middle of page 11):</span><o:p></o:p></p>
</div>
<div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
</div>
<div>
<table class=3D"MsoNormalTable" border=3D"0" cellpadding=3D"0" width=3D"100=
%" style=3D"width:100.0%">
<tbody>
<tr>
<td style=3D"padding:.75pt .75pt .75pt .75pt">
<div>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; Axis of Capture Point: {(X, =
Y, Z)} A field with a single Cartesian&nbsp;<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; (X, Y, Z) point value (virtu=
al or physical) which describes a position&nbsp;<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; in space of a second point o=
n the axis of capture of the capturing&nbsp;<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; device; the first point bein=
g the Point of Capture (see above).<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt"><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
>&nbsp;&nbsp; The axis of capture point MUST NOT be specified if the Point =
of Capture<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
>&nbsp;&nbsp; is not present for this capture device. &nbsp;<o:p></o:p></pr=
e>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
>&nbsp;&nbsp; When the Axis of Capture Point attribute is specified, it mus=
t include X,<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; Y and Z coordinates. &nbsp;T=
hese coordinates MUST not be identical to the&nbsp;<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; Point of Capture coordinates=
. <o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
>&nbsp;&nbsp;&nbsp;If the Axis of Capture Point is not specified, it<o:p></=
o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; means the consumer should no=
t assume anything about the axis of<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; capture of the capturing dev=
ice.&nbsp; <o:p></o:p></pre>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e: 10pt; font-family: Arial, sans-serif; "><o:p>&nbsp;</o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e: 10pt; font-family: Arial, sans-serif; "><o:p>&nbsp;</o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e: 10pt; font-family: Arial, sans-serif; ">So, please respond &quot;Yes&quo=
t; if you think the text if fine, &quot;Maybe&quot; if you think it needs t=
weaking (and include the suggested<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e: 10pt; font-family: Arial, sans-serif; ">tweaks). Note, we agreed to add =
this at the interim meeting, thus if you answer &quot;No&quot;, you must in=
clude&nbsp;<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e: 10pt; font-family: Arial, sans-serif; ">a compelling reason why this sho=
uld not be added in some form.<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e: 10pt; font-family: Arial, sans-serif; "><o:p>&nbsp;</o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e: 10pt; font-family: Arial, sans-serif; ">Regards,<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e: 10pt; font-family: Arial, sans-serif; ">Mary<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e: 10pt; font-family: Arial, sans-serif; ">CLUE WG co-chair<o:p></o:p></spa=
n></p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
</div>
</div>
</div>
</div>
</span>
</body>
</html>

--_000_CC17D4C0889DCstewesteweorg_--

From stewe@stewe.org  Mon Jul  2 13:53:47 2012
Return-Path: <stewe@stewe.org>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 19E2011E80BA for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 13:53:47 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.786
X-Spam-Level: 
X-Spam-Status: No, score=-3.786 tagged_above=-999 required=5 tests=[AWL=-0.188, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id P8wGpXGI8oSB for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 13:53:46 -0700 (PDT)
Received: from va3outboundpool.messaging.microsoft.com (va3ehsobe001.messaging.microsoft.com [216.32.180.11]) by ietfa.amsl.com (Postfix) with ESMTP id 26A6C21F859B for <clue@ietf.org>; Mon,  2 Jul 2012 13:53:46 -0700 (PDT)
Received: from mail207-va3-R.bigfish.com (10.7.14.254) by VA3EHSOBE007.bigfish.com (10.7.40.11) with Microsoft SMTP Server id 14.1.225.23; Mon, 2 Jul 2012 20:51:54 +0000
Received: from mail207-va3 (localhost [127.0.0.1])	by mail207-va3-R.bigfish.com (Postfix) with ESMTP id E3514401A2; Mon,  2 Jul 2012 20:51:53 +0000 (UTC)
X-Forefront-Antispam-Report: CIP:157.56.240.133; KIP:(null); UIP:(null); IPV:NLI; H:BL2PRD0710HT001.namprd07.prod.outlook.com; RD:none; EFVD:NLI
X-SpamScore: -14
X-BigFish: PS-14(zzc85ehzz1202h1082kzz1033IL8275bh8275dhz2fh2a8h668h839he5bhf0ahbe3k)
Received-SPF: pass (mail207-va3: domain of stewe.org designates 157.56.240.133 as permitted sender) client-ip=157.56.240.133; envelope-from=stewe@stewe.org; helo=BL2PRD0710HT001.namprd07.prod.outlook.com ; .outlook.com ; 
Received: from mail207-va3 (localhost.localdomain [127.0.0.1]) by mail207-va3 (MessageSwitch) id 1341262311596809_17273; Mon,  2 Jul 2012 20:51:51 +0000 (UTC)
Received: from VA3EHSMHS001.bigfish.com (unknown [10.7.14.240])	by mail207-va3.bigfish.com (Postfix) with ESMTP id 8609C2C004A; Mon,  2 Jul 2012 20:51:51 +0000 (UTC)
Received: from BL2PRD0710HT001.namprd07.prod.outlook.com (157.56.240.133) by VA3EHSMHS001.bigfish.com (10.7.99.11) with Microsoft SMTP Server (TLS) id 14.1.225.23; Mon, 2 Jul 2012 20:51:50 +0000
Received: from BL2PRD0710MB349.namprd07.prod.outlook.com ([169.254.1.88]) by BL2PRD0710HT001.namprd07.prod.outlook.com ([10.255.102.36]) with mapi id 14.16.0164.004; Mon, 2 Jul 2012 20:53:47 +0000
From: Stephan Wenger <stewe@stewe.org>
To: Mary Barnes <mary.ietf.barnes@gmail.com>, CLUE <clue@ietf.org>
Thread-Topic: [clue] Concensus call: Text for "Axis of Capture"
Thread-Index: AQHNWHxI34qTJcK9ukK23IKhHJJttZcWmhaA
Date: Mon, 2 Jul 2012 20:53:47 +0000
Message-ID: <CC17D6BB.889ED%stewe@stewe.org>
In-Reply-To: <CAHBDyN4S5Wyzx0gtO8FfZ8QVcFwaXnWP3C7RjjKwgzpy1UKqYA@mail.gmail.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.255.102.5]
Content-Type: multipart/alternative; boundary="_000_CC17D6BB889EDstewesteweorg_"
MIME-Version: 1.0
X-OriginatorOrg: stewe.org
Subject: Re: [clue] Concensus call: Text for "Axis of Capture"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 20:53:47 -0000

--_000_CC17D6BB889EDstewesteweorg_
Content-Type: text/plain; charset="Windows-1252"
Content-Transfer-Encoding: quoted-printable

Not sure this will make it=97let's try.  I will not be able to join any cal=
l over the next two weeks.  I'm fine with the text proposed re axis of capt=
ure.
Stephan

From: Mary Barnes <mary.ietf.barnes@gmail.com<mailto:mary.ietf.barnes@gmail=
.com>>
Date: Monday, 2 July, 2012 10:58
To: CLUE <clue@ietf.org<mailto:clue@ietf.org>>
Subject: [clue] Concensus call: Text for "Axis of Capture"

Per the design team call last week, we want to do a consensus call for the =
text to cover the "Axis of capture".  There were several suggested updates =
to Stephan's original text:
http://www.ietf.org/mail-archive/web/clue/current/msg01583.html

Thus, we would like folks to respond as to whether they are okay with the f=
ollowing text being added to section 6.1.1 (relative to draft-ietf-clue-fra=
mework-05 - after the two paragraphs of "point of capture" - middle of page=
 11):


   Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian

   (X, Y, Z) point value (virtual or physical) which describes a position

   in space of a second point on the axis of capture of the capturing

   device; the first point being the Point of Capture (see above).


   The axis of capture point MUST NOT be specified if the Point of Capture

   is not present for this capture device.

   When the Axis of Capture Point attribute is specified, it must include X=
,
   Y and Z coordinates.  These coordinates MUST not be identical to the

   Point of Capture coordinates.

   If the Axis of Capture Point is not specified, it
   means the consumer should not assume anything about the axis of

   capture of the capturing device.


So, please respond "Yes" if you think the text if fine, "Maybe" if you thin=
k it needs tweaking (and include the suggested
tweaks). Note, we agreed to add this at the interim meeting, thus if you an=
swer "No", you must include
a compelling reason why this should not be added in some form.

Regards,
Mary
CLUE WG co-chair


--_000_CC17D6BB889EDstewesteweorg_
Content-Type: text/html; charset="Windows-1252"
Content-ID: <F66A5100CFB6814B9920AA6CEB9A0061@namprd07.prod.outlook.com>
Content-Transfer-Encoding: quoted-printable

<html>
<head>
<meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3DWindows-1=
252">
</head>
<body style=3D"word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-lin=
e-break: after-white-space; color: rgb(0, 0, 0); font-size: 14px; font-fami=
ly: Calibri, sans-serif; ">
<div>Not sure this will make it=97let's try. &nbsp;I will not be able to jo=
in any call over the next two weeks. &nbsp;I'm fine with the text proposed =
re axis of capture. &nbsp;</div>
<div>Stephan</div>
<div><br>
</div>
<span id=3D"OLK_SRC_BODY_SECTION">
<div style=3D"font-family:Calibri; font-size:11pt; text-align:left; color:b=
lack; BORDER-BOTTOM: medium none; BORDER-LEFT: medium none; PADDING-BOTTOM:=
 0in; PADDING-LEFT: 0in; PADDING-RIGHT: 0in; BORDER-TOP: #b5c4df 1pt solid;=
 BORDER-RIGHT: medium none; PADDING-TOP: 3pt">
<span style=3D"font-weight:bold">From: </span>Mary Barnes &lt;<a href=3D"ma=
ilto:mary.ietf.barnes@gmail.com">mary.ietf.barnes@gmail.com</a>&gt;<br>
<span style=3D"font-weight:bold">Date: </span>Monday, 2 July, 2012 10:58 <b=
r>
<span style=3D"font-weight:bold">To: </span>CLUE &lt;<a href=3D"mailto:clue=
@ietf.org">clue@ietf.org</a>&gt;<br>
<span style=3D"font-weight:bold">Subject: </span>[clue] Concensus call: Tex=
t for &quot;Axis of Capture&quot;<br>
</div>
<div><br>
</div>
<div>
<div>Per the design team call last week, we want to do a consensus call for=
 the text to cover the &quot;Axis of capture&quot;. &nbsp;There were severa=
l suggested updates to Stephan's original text:<br>
<div><a href=3D"http://www.ietf.org/mail-archive/web/clue/current/msg01583.=
html">http://www.ietf.org/mail-archive/web/clue/current/msg01583.html</a></=
div>
<div><br>
</div>
<div>Thus, we would like folks to respond as to whether they are okay with =
the following text being added to section 6.1.1<font class=3D"Apple-style-s=
pan" face=3D"arial,helvetica,sans-serif">&nbsp;(relative to draft-ietf-clue=
-framework-05 - after the two paragraphs
 of &quot;point of capture&quot; - middle of page 11):</font></div>
<div><font class=3D"Apple-style-span" face=3D"arial,helvetica,sans-serif"><=
br>
</font></div>
<div><font class=3D"Apple-style-span" face=3D"arial,helvetica,sans-serif">
<table width=3D"100%" style=3D"font-family:Times;font-size:medium">
<tbody>
<tr>
<td>
<div><span class=3D"Apple-style-span" style=3D"font-size: 13px; line-height=
: 16px; font-family: arial, helvetica, clean, sans-serif; ">
<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px">   Axis of Capture Point: {(X, Y, Z)} A field with=
 a single Cartesian&nbsp;</pre>
<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px">   (X, Y, Z) point value (virtual or physical) whi=
ch describes a position&nbsp;</pre>
<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px">   in space of a second point on the axis of captu=
re of the capturing&nbsp;</pre>
<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px">   device; the first point being the Point of Capt=
ure (see above).</pre>
<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px"><br></pre>
<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px">   The axis of capture point MUST NOT be specified=
 if the Point of Capture</pre>
<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px">   is not present for this capture device. &nbsp;<=
/pre>
<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px">   When the Axis of Capture Point attribute is spe=
cified, it must include X,
   Y and Z coordinates. &nbsp;These coordinates MUST not be identical to th=
e&nbsp;</pre>
<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px">   Point of Capture coordinates. </pre>
<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px">   If the Axis of Capture Point is not specified, =
it
   means the consumer should not assume anything about the axis of</pre>
<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px">   capture of the capturing device.  </pre>
<div><br>
</div>
<div><br>
</div>
<div>So, please respond &quot;Yes&quot; if you think the text if fine, &quo=
t;Maybe&quot; if you think it needs tweaking (and include the suggested</di=
v>
<div>tweaks). Note, we agreed to add this at the interim meeting, thus if y=
ou answer &quot;No&quot;, you must include&nbsp;</div>
<div>a compelling reason why this should not be added in some form.</div>
<div><br>
</div>
<div>Regards,</div>
<div>Mary</div>
<div>CLUE WG co-chair</div>
</span></div>
</td>
</tr>
</tbody>
</table>
</font></div>
</div>
</div>
</span>
</body>
</html>

--_000_CC17D6BB889EDstewesteweorg_--

From Mark.Duckworth@polycom.com  Mon Jul  2 14:12:21 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id E9EAD21F8638 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 14:12:21 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.165
X-Spam-Level: 
X-Spam-Status: No, score=-6.165 tagged_above=-999 required=5 tests=[AWL=0.433,  BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id l4AD7pKN8s7Y for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 14:12:21 -0700 (PDT)
Received: from Crpehubprd01.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id DF52421F85DB for <clue@ietf.org>; Mon,  2 Jul 2012 14:12:20 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::ad68:5a0:c919:66b6]) by Crpehubprd01.polycom.com ([fe80::5efe:10.236.0.158%14]) with mapi; Mon, 2 Jul 2012 14:12:26 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Mon, 2 Jul 2012 14:12:24 -0700
Thread-Topic: Framework scene description attribute update
Thread-Index: Ac1YlqyH76Ozm5WWRAu8SRcjxNlBiQ==
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F38@CRPMBOXPRD01.polycom.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: multipart/alternative; boundary="_000_44C6B6B2D0CF424AA90B6055548D7A6102FE035F38CRPMBOXPRD01p_"
MIME-Version: 1.0
Subject: [clue] Framework scene description attribute update
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 21:12:22 -0000

--_000_44C6B6B2D0CF424AA90B6055548D7A6102FE035F38CRPMBOXPRD01p_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

Based on the decision at the interim meeting to support multiple descriptio=
n strings, each in a different language, here is my proposed updated text f=
or the framework document.  I also addressed Christians comments  http://ww=
w.ietf.org/mail-archive/web/clue/current/msg01522.html

Please review this change.

   Description attribute

   The optional description attribute is a list of human readable text
   strings which describes the capture scene.  If there is more than one
   string in the list, then each string in the list should contain the
   same description, but in a different language.  A provider that
   advertises multiple capture scenes may use different descriptions to
   differentiate between them.  This attribute can contain text in any
   number of languages.

   Description Language attribute

   This attribute is a list of language tags, to identify the language
   of the corresponding description attribute text.  The number of
   language tags in this list must be the same as the number of strings
   in the description list.  The possible values for a language tag are
   the values of the 'Subtag' column for the "Type: language" entries in
   the "Language Subtag Registry" at [IANA-Lan] originally defined in
   [RFC5646].

Regards,
Mark

--_000_44C6B6B2D0CF424AA90B6055548D7A6102FE035F38CRPMBOXPRD01p_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40"><head><meta http-equiv=3DContent-Type content=
=3D"text/html; charset=3Dus-ascii"><meta name=3DGenerator content=3D"Micros=
oft Word 14 (filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:11.0pt;
	font-family:"Calibri","sans-serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
span.EmailStyle17
	{mso-style-type:personal-compose;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue vli=
nk=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal>Based on the dec=
ision at the interim meeting to support multiple description strings, each =
in a different language, here is my proposed updated text for the framework=
 document.&nbsp; I also addressed Christians comments&nbsp; <a href=3D"http=
://www.ietf.org/mail-archive/web/clue/current/msg01522.html">http://www.iet=
f.org/mail-archive/web/clue/current/msg01522.html</a><o:p></o:p></p><p clas=
s=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>Please review this =
change.<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3D=
MsoNormal>&nbsp;&nbsp; Description attribute<o:p></o:p></p><p class=3DMsoNo=
rmal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>&nbsp;&nbsp; The optional de=
scription attribute is a list of human readable text<o:p></o:p></p><p class=
=3DMsoNormal>&nbsp;&nbsp; strings which describes the capture scene.&nbsp; =
If there is more than one<o:p></o:p></p><p class=3DMsoNormal>&nbsp;&nbsp; s=
tring in the list, then each string in the list should contain the<o:p></o:=
p></p><p class=3DMsoNormal>&nbsp;&nbsp; same description, but in a differen=
t language.&nbsp; A provider that<o:p></o:p></p><p class=3DMsoNormal>&nbsp;=
&nbsp; advertises multiple capture scenes may use different descriptions to=
<o:p></o:p></p><p class=3DMsoNormal>&nbsp;&nbsp; differentiate between them=
.&nbsp; This attribute can contain text in any<o:p></o:p></p><p class=3DMso=
Normal>&nbsp;&nbsp; number of languages.<o:p></o:p></p><p class=3DMsoNormal=
><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>&nbsp;&nbsp; Description Languag=
e attribute<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p clas=
s=3DMsoNormal>&nbsp;&nbsp; This attribute is a list of language tags, to id=
entify the language<o:p></o:p></p><p class=3DMsoNormal>&nbsp;&nbsp; of the =
corresponding description attribute text.&nbsp; The number of<o:p></o:p></p=
><p class=3DMsoNormal>&nbsp;&nbsp; language tags in this list must be the s=
ame as the number of strings<o:p></o:p></p><p class=3DMsoNormal>&nbsp;&nbsp=
; in the description list.&nbsp; The possible values for a language tag are=
<o:p></o:p></p><p class=3DMsoNormal>&nbsp;&nbsp; the values of the 'Subtag'=
 column for the &quot;Type: language&quot; entries in<o:p></o:p></p><p clas=
s=3DMsoNormal>&nbsp;&nbsp; the &quot;Language Subtag Registry&quot; at [IAN=
A-Lan] originally defined in<o:p></o:p></p><p class=3DMsoNormal>&nbsp;&nbsp=
; [RFC5646].<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p cla=
ss=3DMsoNormal>Regards,<o:p></o:p></p><p class=3DMsoNormal>Mark<o:p></o:p><=
/p></div></body></html>=

--_000_44C6B6B2D0CF424AA90B6055548D7A6102FE035F38CRPMBOXPRD01p_--

From pkyzivat@alum.mit.edu  Mon Jul  2 14:20:49 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 3B05E21F875B for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 14:20:49 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -1.038
X-Spam-Level: 
X-Spam-Status: No, score=-1.038 tagged_above=-999 required=5 tests=[AWL=-0.601, BAYES_00=-2.599, FH_RELAY_NODNS=1.451, HELO_MISMATCH_NET=0.611, RDNS_NONE=0.1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id UzT2p-91Gsdd for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 14:20:48 -0700 (PDT)
Received: from qmta01.westchester.pa.mail.comcast.net (qmta01.westchester.pa.mail.comcast.net [IPv6:2001:558:fe14:43:76:96:62:16]) by ietfa.amsl.com (Postfix) with ESMTP id 883E121F8760 for <clue@ietf.org>; Mon,  2 Jul 2012 14:20:48 -0700 (PDT)
Received: from omta06.westchester.pa.mail.comcast.net ([76.96.62.51]) by qmta01.westchester.pa.mail.comcast.net with comcast id VWcM1j00516LCl051ZLwYr; Mon, 02 Jul 2012 21:20:56 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta06.westchester.pa.mail.comcast.net with comcast id VZLr1j00B3ZTu2S3SZLrPc; Mon, 02 Jul 2012 21:20:51 +0000
Message-ID: <4FF210B4.2040809@alum.mit.edu>
Date: Mon, 02 Jul 2012 17:20:52 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F38@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F38@CRPMBOXPRD01.polycom.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Framework scene description attribute update
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 21:20:49 -0000

Mark,

So you are proposing one list of descriptions, and a separate but 
parallel list of languages?

That seems clumsy, unnatural, and error prone. Why not a list of pairs 
of (description, language)? And I'd be inclined to specify that a 
particular language value MUST NOT be specified more than once.

	Thanks,
	Paul

On 7/2/12 5:12 PM, Duckworth, Mark wrote:
> Based on the decision at the interim meeting to support multiple
> description strings, each in a different language, here is my proposed
> updated text for the framework document. I also addressed Christians
> comments http://www.ietf.org/mail-archive/web/clue/current/msg01522.html
>
> Please review this change.
>
> Description attribute
>
> The optional description attribute is a list of human readable text
>
> strings which describes the capture scene. If there is more than one
>
> string in the list, then each string in the list should contain the
>
> same description, but in a different language. A provider that
>
> advertises multiple capture scenes may use different descriptions to
>
> differentiate between them. This attribute can contain text in any
>
> number of languages.
>
> Description Language attribute
>
> This attribute is a list of language tags, to identify the language
>
> of the corresponding description attribute text. The number of
>
> language tags in this list must be the same as the number of strings
>
> in the description list. The possible values for a language tag are
>
> the values of the 'Subtag' column for the "Type: language" entries in
>
> the "Language Subtag Registry" at [IANA-Lan] originally defined in
>
> [RFC5646].
>
> Regards,
>
> Mark
>
>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue


From espeberg@cisco.com  Mon Jul  2 14:37:51 2012
Return-Path: <espeberg@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 5F05121F850B for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 14:37:51 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id nJlE7qhEqxx0 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 14:37:50 -0700 (PDT)
Received: from rcdn-iport-4.cisco.com (rcdn-iport-4.cisco.com [173.37.86.75]) by ietfa.amsl.com (Postfix) with ESMTP id 543B221F8505 for <clue@ietf.org>; Mon,  2 Jul 2012 14:37:50 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=espeberg@cisco.com; l=2407; q=dns/txt; s=iport; t=1341265076; x=1342474676; h=from:to:subject:date:message-id:references:in-reply-to: content-transfer-encoding:mime-version; bh=p4r7UOAIl2xCWV6XWBTrynv19j06B9fYBpmg1kFwjd0=; b=NCbkjNOwJe8L3z/gCNnIRGr/dM6Q6f+0rL+aCLCrlhcPmUUVyxRItB08 ZAGDMbtJfUaiVBv/oFfj53XaxqDxFdDdPvWcUBv2Hs08MmZINJubwwTrg DGU4UWGPbKLdSpLgIgecykBY29iXRiiknrz3mAlGeM7jhgK3OjIzxND39 w=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av8EAK0T8k+tJV2b/2dsb2JhbAA7Cg62V4EHghgBAQEEAQEBDwEnNBsCAQgYHhAnCyUBAQQBEgkZh2kLmlugSYs5EAqFIGADlTSOHYFmgiY5gV8
X-IronPort-AV: E=Sophos;i="4.77,512,1336348800"; d="scan'208";a="98128749"
Received: from rcdn-core-4.cisco.com ([173.37.93.155]) by rcdn-iport-4.cisco.com with ESMTP; 02 Jul 2012 21:37:56 +0000
Received: from xhc-rcd-x14.cisco.com (xhc-rcd-x14.cisco.com [173.37.183.88]) by rcdn-core-4.cisco.com (8.14.5/8.14.5) with ESMTP id q62Lbueu004081 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Mon, 2 Jul 2012 21:37:56 GMT
Received: from xmb-rcd-x11.cisco.com ([169.254.1.20]) by xhc-rcd-x14.cisco.com ([173.37.183.88]) with mapi id 14.02.0298.004; Mon, 2 Jul 2012 16:37:55 -0500
From: "Espen Berger (espeberg)" <espeberg@cisco.com>
To: "pkyzivat@alum.mit.edu" <pkyzivat@alum.mit.edu>, "clue@ietf.org" <clue@ietf.org>
Thread-Topic: [clue] Framework scene description attribute update
Thread-Index: Ac1YlqyH76Ozm5WWRAu8SRcjxNlBiQAK8s8A//+w8s0=
Date: Mon, 2 Jul 2012 21:37:55 +0000
Message-ID: <46BEBF31-9F4F-435D-AEDA-B7A0759DF1FE@cisco.com>
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F38@CRPMBOXPRD01.polycom.com>, <4FF210B4.2040809@alum.mit.edu>
In-Reply-To: <4FF210B4.2040809@alum.mit.edu>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19014.000
x-tm-as-result: No--48.126800-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] Framework scene description attribute update
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 21:37:51 -0000

In xml it would typically be modelled as
<description lang=3D"en">capture of audience</description>

If multiple descriptions elements are added, add more description elements.

-Espen

----- Reply message -----
Fra: "Paul Kyzivat" <pkyzivat@alum.mit.edu>
Til: "clue@ietf.org" <clue@ietf.org>
Emne: [clue] Framework scene description attribute update
Dato: man., juli 2, 2012 23:21





Mark,

So you are proposing one list of descriptions, and a separate but
parallel list of languages?

That seems clumsy, unnatural, and error prone. Why not a list of pairs
of (description, language)? And I'd be inclined to specify that a
particular language value MUST NOT be specified more than once.

        Thanks,
        Paul

On 7/2/12 5:12 PM, Duckworth, Mark wrote:
> Based on the decision at the interim meeting to support multiple
> description strings, each in a different language, here is my proposed
> updated text for the framework document. I also addressed Christians
> comments http://www.ietf.org/mail-archive/web/clue/current/msg01522.html
>
> Please review this change.
>
> Description attribute
>
> The optional description attribute is a list of human readable text
>
> strings which describes the capture scene. If there is more than one
>
> string in the list, then each string in the list should contain the
>
> same description, but in a different language. A provider that
>
> advertises multiple capture scenes may use different descriptions to
>
> differentiate between them. This attribute can contain text in any
>
> number of languages.
>
> Description Language attribute
>
> This attribute is a list of language tags, to identify the language
>
> of the corresponding description attribute text. The number of
>
> language tags in this list must be the same as the number of strings
>
> in the description list. The possible values for a language tag are
>
> the values of the 'Subtag' column for the "Type: language" entries in
>
> the "Language Subtag Registry" at [IANA-Lan] originally defined in
>
> [RFC5646].
>
> Regards,
>
> Mark
>
>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue

_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

From allyn@cisco.com  Mon Jul  2 14:42:08 2012
Return-Path: <allyn@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 4626721F85C2 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 14:42:08 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.598
X-Spam-Level: 
X-Spam-Status: No, score=-10.598 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id hX8BOf7Touf0 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 14:42:07 -0700 (PDT)
Received: from rcdn-iport-2.cisco.com (rcdn-iport-2.cisco.com [173.37.86.73]) by ietfa.amsl.com (Postfix) with ESMTP id 2CFC021F850B for <clue@ietf.org>; Mon,  2 Jul 2012 14:42:07 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=allyn@cisco.com; l=10981; q=dns/txt; s=iport; t=1341265333; x=1342474933; h=from:to:subject:date:message-id:references:in-reply-to: mime-version; bh=WDJgVT8Kump67+nH2VNhvd2j1h3REvTCjxfMw9sKjd8=; b=XcpsaX4zGuMBQ7LAHTX/1UEgFxvET+DI+UZRILTyTWtRXdn1yAEEnx3X RXvqSQXIGdrZJoZbezROaJ1Q1pGDmaOS7YcyslY6SELizBSGBUywRMXAk lT7Yh72YUgyS/eX4OtZ/ub7Yc9tMk19RE35zq9gefntivG3VII7iqUa3M I=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av8EAJ4U8k+tJV2Y/2dsb2JhbABFgkW0IIEHghgBAQEEEgEKEFwCAQgRBAEBCx0HMhQJCAIEARIIARmHaQuaXaBJizkahSBgA6NRgWaCX4Ff
X-IronPort-AV: E=Sophos;i="4.77,512,1336348800"; d="scan'208,217";a="98078864"
Received: from rcdn-core-1.cisco.com ([173.37.93.152]) by rcdn-iport-2.cisco.com with ESMTP; 02 Jul 2012 21:42:13 +0000
Received: from xhc-rcd-x15.cisco.com (xhc-rcd-x15.cisco.com [173.37.183.89]) by rcdn-core-1.cisco.com (8.14.5/8.14.5) with ESMTP id q62LgCOj011993 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Mon, 2 Jul 2012 21:42:13 GMT
Received: from xmb-aln-x02.cisco.com ([169.254.5.100]) by xhc-rcd-x15.cisco.com ([173.37.183.89]) with mapi id 14.02.0298.004; Mon, 2 Jul 2012 16:42:12 -0500
From: "Allyn Romanow (allyn)" <allyn@cisco.com>
To: Mary Barnes <mary.ietf.barnes@gmail.com>, CLUE <clue@ietf.org>
Thread-Topic: [clue] Concensus call: Text for "Axis of Capture"
Thread-Index: AQHNWHxF14+jFS1MFkmrTddOeFddDJcWhgzA
Date: Mon, 2 Jul 2012 21:42:11 +0000
Message-ID: <FD433719B54BFE41A70641D06F516F13020602@xmb-aln-x02.cisco.com>
References: <CAHBDyN4S5Wyzx0gtO8FfZ8QVcFwaXnWP3C7RjjKwgzpy1UKqYA@mail.gmail.com>
In-Reply-To: <CAHBDyN4S5Wyzx0gtO8FfZ8QVcFwaXnWP3C7RjjKwgzpy1UKqYA@mail.gmail.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.21.151.124]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19014.000
x-tm-as-result: No--33.965800-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: multipart/alternative; boundary="_000_FD433719B54BFE41A70641D06F516F13020602xmbalnx02ciscocom_"
MIME-Version: 1.0
Subject: Re: [clue] Concensus call: Text for "Axis of Capture"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 21:42:08 -0000

--_000_FD433719B54BFE41A70641D06F516F13020602xmbalnx02ciscocom_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

yes

From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Mar=
y Barnes
Sent: Monday, July 02, 2012 10:58 AM
To: CLUE
Subject: [clue] Concensus call: Text for "Axis of Capture"

Per the design team call last week, we want to do a consensus call for the =
text to cover the "Axis of capture".  There were several suggested updates =
to Stephan's original text:
http://www.ietf.org/mail-archive/web/clue/current/msg01583.html

Thus, we would like folks to respond as to whether they are okay with the f=
ollowing text being added to section 6.1.1 (relative to draft-ietf-clue-fra=
mework-05 - after the two paragraphs of "point of capture" - middle of page=
 11):




   Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian



   (X, Y, Z) point value (virtual or physical) which describes a position



   in space of a second point on the axis of capture of the capturing



   device; the first point being the Point of Capture (see above).





   The axis of capture point MUST NOT be specified if the Point of Capture

   is not present for this capture device.

   When the Axis of Capture Point attribute is specified, it must include X=
,

   Y and Z coordinates.  These coordinates MUST not be identical to the



   Point of Capture coordinates.

   If the Axis of Capture Point is not specified, it

   means the consumer should not assume anything about the axis of



   capture of the capturing device.


So, please respond "Yes" if you think the text if fine, "Maybe" if you thin=
k it needs tweaking (and include the suggested
tweaks). Note, we agreed to add this at the interim meeting, thus if you an=
swer "No", you must include
a compelling reason why this should not be added in some form.

Regards,
Mary
CLUE WG co-chair



--_000_FD433719B54BFE41A70641D06F516F13020602xmbalnx02ciscocom_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40">
<head>
<meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"=
>
<meta name=3D"Generator" content=3D"Microsoft Word 14 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
@font-face
	{font-family:Consolas;
	panose-1:2 11 6 9 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
pre
	{mso-style-priority:99;
	mso-style-link:"HTML Preformatted Char";
	margin:0in;
	margin-bottom:.0001pt;
	font-size:10.0pt;
	font-family:"Courier New";}
span.apple-style-span
	{mso-style-name:apple-style-span;}
span.HTMLPreformattedChar
	{mso-style-name:"HTML Preformatted Char";
	mso-style-priority:99;
	mso-style-link:"HTML Preformatted";
	font-family:Consolas;}
span.EmailStyle20
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang=3D"EN-US" link=3D"blue" vlink=3D"purple">
<div class=3D"WordSection1">
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">yes<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;"> clue-bou=
nces@ietf.org [mailto:clue-bounces@ietf.org]
<b>On Behalf Of </b>Mary Barnes<br>
<b>Sent:</b> Monday, July 02, 2012 10:58 AM<br>
<b>To:</b> CLUE<br>
<b>Subject:</b> [clue] Concensus call: Text for &quot;Axis of Capture&quot;=
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p class=3D"MsoNormal">Per the design team call last week, we want to do a =
consensus call for the text to cover the &quot;Axis of capture&quot;. &nbsp=
;There were several suggested updates to Stephan's original text:<o:p></o:p=
></p>
<div>
<p class=3D"MsoNormal"><a href=3D"http://www.ietf.org/mail-archive/web/clue=
/current/msg01583.html">http://www.ietf.org/mail-archive/web/clue/current/m=
sg01583.html</a><o:p></o:p></p>
</div>
<div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
</div>
<div>
<p class=3D"MsoNormal">Thus, we would like folks to respond as to whether t=
hey are okay with the following text being added to section 6.1.1<span styl=
e=3D"font-family:&quot;Arial&quot;,&quot;sans-serif&quot;">&nbsp;(relative =
to draft-ietf-clue-framework-05 - after the two paragraphs of
 &quot;point of capture&quot; - middle of page 11):</span><o:p></o:p></p>
</div>
<div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
</div>
<div>
<table class=3D"MsoNormalTable" border=3D"0" cellpadding=3D"0" width=3D"100=
%" style=3D"width:100.0%">
<tbody>
<tr>
<td style=3D"padding:.75pt .75pt .75pt .75pt">
<div>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; Axis of Capture Point: {(X, =
Y, Z)} A field with a single Cartesian&nbsp;<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; (X, Y, Z) point value (virtu=
al or physical) which describes a position&nbsp;<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; in space of a second point o=
n the axis of capture of the capturing&nbsp;<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; device; the first point bein=
g the Point of Capture (see above).<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt"><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
>&nbsp;&nbsp; The axis of capture point MUST NOT be specified if the Point =
of Capture<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
>&nbsp;&nbsp; is not present for this capture device. &nbsp;<o:p></o:p></pr=
e>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
>&nbsp;&nbsp; When the Axis of Capture Point attribute is specified, it mus=
t include X,<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; Y and Z coordinates. &nbsp;T=
hese coordinates MUST not be identical to the&nbsp;<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; Point of Capture coordinates=
. <o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
>&nbsp;&nbsp;&nbsp;If the Axis of Capture Point is not specified, it<o:p></=
o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; means the consumer should no=
t assume anything about the axis of<o:p></o:p></pre>
<pre style=3D"line-height:14.4pt;white-space:pre-wrap;word-wrap:break-word"=
><o:p>&nbsp;</o:p></pre>
<pre style=3D"line-height:14.4pt">&nbsp;&nbsp; capture of the capturing dev=
ice.&nbsp; <o:p></o:p></pre>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e:10.0pt;font-family:&quot;Arial&quot;,&quot;sans-serif&quot;"><o:p>&nbsp;<=
/o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e:10.0pt;font-family:&quot;Arial&quot;,&quot;sans-serif&quot;"><o:p>&nbsp;<=
/o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e:10.0pt;font-family:&quot;Arial&quot;,&quot;sans-serif&quot;">So, please r=
espond &quot;Yes&quot; if you think the text if fine, &quot;Maybe&quot; if =
you think it needs tweaking (and include the suggested<o:p></o:p></span></p=
>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e:10.0pt;font-family:&quot;Arial&quot;,&quot;sans-serif&quot;">tweaks). Not=
e, we agreed to add this at the interim meeting, thus if you answer &quot;N=
o&quot;, you must include&nbsp;<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e:10.0pt;font-family:&quot;Arial&quot;,&quot;sans-serif&quot;">a compelling=
 reason why this should not be added in some form.<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e:10.0pt;font-family:&quot;Arial&quot;,&quot;sans-serif&quot;"><o:p>&nbsp;<=
/o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e:10.0pt;font-family:&quot;Arial&quot;,&quot;sans-serif&quot;">Regards,<o:p=
></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e:10.0pt;font-family:&quot;Arial&quot;,&quot;sans-serif&quot;">Mary<o:p></o=
:p></span></p>
</div>
<div>
<p class=3D"MsoNormal" style=3D"line-height:12.0pt"><span style=3D"font-siz=
e:10.0pt;font-family:&quot;Arial&quot;,&quot;sans-serif&quot;">CLUE WG co-c=
hair<o:p></o:p></span></p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
</div>
</div>
</body>
</html>

--_000_FD433719B54BFE41A70641D06F516F13020602xmbalnx02ciscocom_--

From allyn@cisco.com  Mon Jul  2 14:42:39 2012
Return-Path: <allyn@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 2834621F85CD for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 14:42:39 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.598
X-Spam-Level: 
X-Spam-Status: No, score=-10.598 tagged_above=-999 required=5 tests=[AWL=-0.001, BAYES_00=-2.599, HTML_MESSAGE=0.001, MIME_HTML_MOSTLY=0.001, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id TgIa0W6ZjBqI for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 14:42:38 -0700 (PDT)
Received: from rcdn-iport-5.cisco.com (rcdn-iport-5.cisco.com [173.37.86.76]) by ietfa.amsl.com (Postfix) with ESMTP id 98FB821F8514 for <clue@ietf.org>; Mon,  2 Jul 2012 14:42:38 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=allyn@cisco.com; l=2020; q=dns/txt; s=iport; t=1341265364; x=1342474964; h=from:to:cc:subject:date:message-id:mime-version; bh=nunDdOjleCl/RsLlpc0bOiXSAC388gNxVjH0D2mafpI=; b=m2p5eFADjhwmZ/QAoKb2wfSZr+BwHMOnqADzDEOdnDaI41ezEPpYX1nL o/gfMvN72ZPoWRCbOCYNQ/JLxrfj4D2AEvvGmuts76CIONoGk3UWC0amM 81bCUFrTzgb+XNVS8VTX91xLTZh1qL4+7petrWDsjsfcWHuhz+OaU1R0R M=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av47ABAV8k+tJXHB/2dsb2JhbABFgXcBTbMGgRqBB4IUBgEEEgEGFEwSAQwBHVYmAQQODRqFJweCJBeaaaBJkHNgA6NRgWaCXw
X-IronPort-AV: E=Sophos;i="4.77,512,1336348800"; d="scan'208,217";a="98096003"
Received: from rcdn-core2-6.cisco.com ([173.37.113.193]) by rcdn-iport-5.cisco.com with ESMTP; 02 Jul 2012 21:42:44 +0000
Received: from xhc-rcd-x02.cisco.com (xhc-rcd-x02.cisco.com [173.37.183.76]) by rcdn-core2-6.cisco.com (8.14.5/8.14.5) with ESMTP id q62LgibW025678 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Mon, 2 Jul 2012 21:42:44 GMT
Received: from xmb-aln-x02.cisco.com ([169.254.5.100]) by xhc-rcd-x02.cisco.com ([173.37.183.76]) with mapi id 14.02.0298.004; Mon, 2 Jul 2012 16:42:44 -0500
From: "Allyn Romanow (allyn)" <allyn@cisco.com>
To: "Mary Barnes (mary.ietf.barnes@gmail.com)" <mary.ietf.barnes@gmail.com>
Thread-Topic: is there a meeting Tues?  thanks
Thread-Index: Ac1Ym5xI8dB7mYfAQjOv6Q5wlY3kkA==
Date: Mon, 2 Jul 2012 21:42:43 +0000
Message-ID: <FD433719B54BFE41A70641D06F516F1302061E@xmb-aln-x02.cisco.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.21.151.124]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19014.000
x-tm-as-result: No--25.290800-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: multipart/alternative; boundary="_000_FD433719B54BFE41A70641D06F516F1302061Exmbalnx02ciscocom_"
MIME-Version: 1.0
Cc: "CLUE \(clue@ietf.org\)" <clue@ietf.org>
Subject: [clue] is there a meeting Tues?  thanks
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 21:42:39 -0000

--_000_FD433719B54BFE41A70641D06F516F1302061Exmbalnx02ciscocom_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable



--_000_FD433719B54BFE41A70641D06F516F1302061Exmbalnx02ciscocom_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40">
<head>
<meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"=
>
<meta name=3D"Generator" content=3D"Microsoft Word 14 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:11.0pt;
	font-family:"Calibri","sans-serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
span.EmailStyle17
	{mso-style-type:personal-compose;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang=3D"EN-US" link=3D"blue" vlink=3D"purple">
<div class=3D"WordSection1">
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
</div>
</body>
</html>

--_000_FD433719B54BFE41A70641D06F516F1302061Exmbalnx02ciscocom_--

From pkyzivat@alum.mit.edu  Mon Jul  2 14:49:26 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id BCCE121F84C2 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 14:49:26 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -0.963
X-Spam-Level: 
X-Spam-Status: No, score=-0.963 tagged_above=-999 required=5 tests=[AWL=-0.526, BAYES_00=-2.599, FH_RELAY_NODNS=1.451, HELO_MISMATCH_NET=0.611, RDNS_NONE=0.1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 9VoKg5j2ipWm for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 14:49:26 -0700 (PDT)
Received: from qmta02.westchester.pa.mail.comcast.net (qmta02.westchester.pa.mail.comcast.net [IPv6:2001:558:fe14:43:76:96:62:24]) by ietfa.amsl.com (Postfix) with ESMTP id 3CFD421F84A1 for <clue@ietf.org>; Mon,  2 Jul 2012 14:49:26 -0700 (PDT)
Received: from omta06.westchester.pa.mail.comcast.net ([76.96.62.51]) by qmta02.westchester.pa.mail.comcast.net with comcast id VNmT1j00316LCl051ZpZKW; Mon, 02 Jul 2012 21:49:33 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta06.westchester.pa.mail.comcast.net with comcast id VZpV1j00C3ZTu2S3SZpVnv; Mon, 02 Jul 2012 21:49:29 +0000
Message-ID: <4FF2176B.6020005@alum.mit.edu>
Date: Mon, 02 Jul 2012 17:49:31 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <FD433719B54BFE41A70641D06F516F1302061E@xmb-aln-x02.cisco.com>
In-Reply-To: <FD433719B54BFE41A70641D06F516F1302061E@xmb-aln-x02.cisco.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] is there a meeting Tues?  thanks
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 21:49:26 -0000

I haven't spoken with Mary about it. But given the US holiday I presume not.

	Thanks,
	Paul

From Mark.Duckworth@polycom.com  Mon Jul  2 15:23:25 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 8947921F84FC for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 15:23:25 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.274
X-Spam-Level: 
X-Spam-Status: No, score=-6.274 tagged_above=-999 required=5 tests=[AWL=0.325,  BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id cm+9aTsrcNHp for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 15:23:24 -0700 (PDT)
Received: from Crpehubprd01.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id A0E5121F852D for <clue@ietf.org>; Mon,  2 Jul 2012 15:23:23 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::ad68:5a0:c919:66b6]) by Crpehubprd01.polycom.com ([fe80::5efe:10.236.0.158%14]) with mapi; Mon, 2 Jul 2012 15:23:29 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Mon, 2 Jul 2012 15:23:27 -0700
Thread-Topic: [clue] Framework scene description attribute update
Thread-Index: Ac1YmJOqWzOgkqBqREql3C9GFzQolQACJOpQ
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F86@CRPMBOXPRD01.polycom.com>
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F38@CRPMBOXPRD01.polycom.com> <4FF210B4.2040809@alum.mit.edu>
In-Reply-To: <4FF210B4.2040809@alum.mit.edu>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] Framework scene description attribute update
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 22:23:26 -0000

Hi Paul,
I thought of your way too, which is also fine with me.  I can reword the te=
xt to do it that way if people prefer.
Mark

> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
> Paul Kyzivat
> Sent: Monday, July 02, 2012 5:21 PM
> To: clue@ietf.org
> Subject: Re: [clue] Framework scene description attribute update
>=20
> Mark,
>=20
> So you are proposing one list of descriptions, and a separate but paralle=
l list
> of languages?
>=20
> That seems clumsy, unnatural, and error prone. Why not a list of pairs of
> (description, language)? And I'd be inclined to specify that a particular
> language value MUST NOT be specified more than once.
>=20
> 	Thanks,
> 	Paul
>=20
> On 7/2/12 5:12 PM, Duckworth, Mark wrote:
> > Based on the decision at the interim meeting to support multiple
> > description strings, each in a different language, here is my proposed
> > updated text for the framework document. I also addressed Christians
> > comments
> > http://www.ietf.org/mail-archive/web/clue/current/msg01522.html
> >
> > Please review this change.
> >
> > Description attribute
> >
> > The optional description attribute is a list of human readable text
> >
> > strings which describes the capture scene. If there is more than one
> >
> > string in the list, then each string in the list should contain the
> >
> > same description, but in a different language. A provider that
> >
> > advertises multiple capture scenes may use different descriptions to
> >
> > differentiate between them. This attribute can contain text in any
> >
> > number of languages.
> >
> > Description Language attribute
> >
> > This attribute is a list of language tags, to identify the language
> >
> > of the corresponding description attribute text. The number of
> >
> > language tags in this list must be the same as the number of strings
> >
> > in the description list. The possible values for a language tag are
> >
> > the values of the 'Subtag' column for the "Type: language" entries in
> >
> > the "Language Subtag Registry" at [IANA-Lan] originally defined in
> >
> > [RFC5646].
> >
> > Regards,
> >
> > Mark
> >
> >
> >
> > _______________________________________________
> > clue mailing list
> > clue@ietf.org
> > https://www.ietf.org/mailman/listinfo/clue
>=20
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue

From pkyzivat@alum.mit.edu  Mon Jul  2 15:57:06 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 57D5C11E8080 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 15:57:06 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -1.985
X-Spam-Level: 
X-Spam-Status: No, score=-1.985 tagged_above=-999 required=5 tests=[AWL=0.614,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id jl4doVwxFFMS for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 15:57:05 -0700 (PDT)
Received: from qmta13.westchester.pa.mail.comcast.net (qmta13.westchester.pa.mail.comcast.net [76.96.59.243]) by ietfa.amsl.com (Postfix) with ESMTP id 8D33E21F85FD for <clue@ietf.org>; Mon,  2 Jul 2012 15:57:05 -0700 (PDT)
Received: from omta09.westchester.pa.mail.comcast.net ([76.96.62.20]) by qmta13.westchester.pa.mail.comcast.net with comcast id VPRN1j0010SCNGk5DaxDrU; Mon, 02 Jul 2012 22:57:13 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta09.westchester.pa.mail.comcast.net with comcast id VaxF1j00D3ZTu2S3VaxFv5; Mon, 02 Jul 2012 22:57:15 +0000
Message-ID: <4FF22746.2090909@alum.mit.edu>
Date: Mon, 02 Jul 2012 18:57:10 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F38@CRPMBOXPRD01.polycom.com> <4FF210B4.2040809@alum.mit.edu> <44C6B6B2D0CF424AA90B6055548D7A6102FE035F86@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F86@CRPMBOXPRD01.polycom.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Framework scene description attribute update
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 02 Jul 2012 22:57:06 -0000

On 7/2/12 6:23 PM, Duckworth, Mark wrote:
> Hi Paul,
> I thought of your way too, which is also fine with me.  I can reword the text to do it that way if people prefer.
> Mark

In practice I think we want to end up with what Espen commented.
But you have to get down into the xml to describe that. The model is too 
high level to talk about it that way. So what I said, or anything else 
that can clearly map to what Espen said works for me.

	Thanks,
	Paul

>> -----Original Message-----
>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
>> Paul Kyzivat
>> Sent: Monday, July 02, 2012 5:21 PM
>> To: clue@ietf.org
>> Subject: Re: [clue] Framework scene description attribute update
>>
>> Mark,
>>
>> So you are proposing one list of descriptions, and a separate but parallel list
>> of languages?
>>
>> That seems clumsy, unnatural, and error prone. Why not a list of pairs of
>> (description, language)? And I'd be inclined to specify that a particular
>> language value MUST NOT be specified more than once.
>>
>> 	Thanks,
>> 	Paul
>>
>> On 7/2/12 5:12 PM, Duckworth, Mark wrote:
>>> Based on the decision at the interim meeting to support multiple
>>> description strings, each in a different language, here is my proposed
>>> updated text for the framework document. I also addressed Christians
>>> comments
>>> http://www.ietf.org/mail-archive/web/clue/current/msg01522.html
>>>
>>> Please review this change.
>>>
>>> Description attribute
>>>
>>> The optional description attribute is a list of human readable text
>>>
>>> strings which describes the capture scene. If there is more than one
>>>
>>> string in the list, then each string in the list should contain the
>>>
>>> same description, but in a different language. A provider that
>>>
>>> advertises multiple capture scenes may use different descriptions to
>>>
>>> differentiate between them. This attribute can contain text in any
>>>
>>> number of languages.
>>>
>>> Description Language attribute
>>>
>>> This attribute is a list of language tags, to identify the language
>>>
>>> of the corresponding description attribute text. The number of
>>>
>>> language tags in this list must be the same as the number of strings
>>>
>>> in the description list. The possible values for a language tag are
>>>
>>> the values of the 'Subtag' column for the "Type: language" entries in
>>>
>>> the "Language Subtag Registry" at [IANA-Lan] originally defined in
>>>
>>> [RFC5646].
>>>
>>> Regards,
>>>
>>> Mark
>>>
>>>
>>>
>>> _______________________________________________
>>> clue mailing list
>>> clue@ietf.org
>>> https://www.ietf.org/mailman/listinfo/clue
>>
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From mary.ietf.barnes@gmail.com  Mon Jul  2 17:29:32 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id B4EF111E80E3 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 17:29:32 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -102.799
X-Spam-Level: 
X-Spam-Status: No, score=-102.799 tagged_above=-999 required=5 tests=[AWL=-0.867, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, SARE_HTML_USL_OBFU=1.666, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id UrERwzI6ZKs6 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 17:29:32 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id 1CB5311E80BD for <clue@ietf.org>; Mon,  2 Jul 2012 17:29:32 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so10333408obb.31 for <clue@ietf.org>; Mon, 02 Jul 2012 17:29:38 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=VmzMe8FGutu9yAkMOok8tFkoCPPU8sCETzGVqqq1h80=; b=DDSqLPkgkKbgcH8jaY6i8JVfZBBUpj2cVXzSZG64upaUhf2lDh7OHxRT9ti2ZwQO4e qgPMSektQVp9639zlbOx1t3I6Ifddz0RqIFJdPOUlxD+GHJs/HnD/pf2JFP5zwz29FNB u99V7yLGz1TQawT/zyeuyrThvNBzFqQY+oCKoQSlbjRk5xKXKP/zRPdAv3VPI6Ej5mSM Z4bBCAa5NhTF23JYTwp5tY9m3bjj2oQnq/91FN35Kc9o8RSdUumsSiGExXZAnS7CiadI k/WwFXt5+C2zMZhd0OQn9X0QfDDquqTnZQli3MplvAn97SJiZaGj1RpruxAfzWzh9yRL pSpw==
MIME-Version: 1.0
Received: by 10.182.164.8 with SMTP id ym8mr10482102obb.51.1341275378286; Mon, 02 Jul 2012 17:29:38 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Mon, 2 Jul 2012 17:29:38 -0700 (PDT)
In-Reply-To: <4FF2176B.6020005@alum.mit.edu>
References: <FD433719B54BFE41A70641D06F516F1302061E@xmb-aln-x02.cisco.com> <4FF2176B.6020005@alum.mit.edu>
Date: Mon, 2 Jul 2012 19:29:38 -0500
Message-ID: <CAHBDyN7TuCeX1SPowfnO221Pwsg_WdLUusj=rhGt_Rj2EaNMyA@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: Paul Kyzivat <pkyzivat@alum.mit.edu>
Content-Type: multipart/alternative; boundary=e89a8f646a0778002904c3e2022b
Cc: clue@ietf.org
Subject: Re: [clue] is there a meeting Tues? thanks
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 03 Jul 2012 00:29:32 -0000

--e89a8f646a0778002904c3e2022b
Content-Type: text/plain; charset=ISO-8859-1

We probably don't need a meeting.  Not really due to US holiday, but rather
there hasn't been much mailing list discussion.   Also, folks likely need
to be focusing on updating drafts and prepping materials for the tutorial.

Note that there is less than one week before the -00 deadline and two weeks
before the final deadline.  We will have a meeting next week to go through
what folks have for the tutorial.  Please note that I don't think a whole
lot of new stuff needs to be put together.  There are materials from the
first presentation in DISPATCH and various WG meetings.  Of course,
pictures/diagrams are always good.  Really, I think the key is to consider
what 3 things should the attendees know for each of the areas.

Thanks,
Mary.

On Mon, Jul 2, 2012 at 4:49 PM, Paul Kyzivat <pkyzivat@alum.mit.edu> wrote:

> I haven't spoken with Mary about it. But given the US holiday I presume
> not.
>
>         Thanks,
>         Paul
> ______________________________**_________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/**listinfo/clue<https://www.ietf.org/mailman/listinfo/clue>
>

--e89a8f646a0778002904c3e2022b
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

We probably don&#39;t need a meeting. =A0Not really due to US holiday, but =
rather there hasn&#39;t been much mailing list discussion. =A0 Also, folks =
likely need to be focusing on updating drafts and prepping materials for th=
e tutorial. =A0<div>
<br></div><div>Note that there is less than one week before the -00 deadlin=
e and two weeks before the final deadline. =A0We will have a meeting next w=
eek to go through what folks have for the tutorial. =A0Please note that I d=
on&#39;t think a whole lot of new stuff needs to be put together. =A0There =
are materials from the first presentation in DISPATCH and various WG meetin=
gs. =A0Of course, pictures/diagrams are always good. =A0Really, I think the=
 key is to consider what 3 things should the attendees know for each of the=
 areas. =A0</div>
<div><div><br></div><div>Thanks,</div><div>Mary.=A0</div><div><br><div clas=
s=3D"gmail_quote">On Mon, Jul 2, 2012 at 4:49 PM, Paul Kyzivat <span dir=3D=
"ltr">&lt;<a href=3D"mailto:pkyzivat@alum.mit.edu" target=3D"_blank">pkyziv=
at@alum.mit.edu</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">I haven&#39;t spoken with Mary about it. But=
 given the US holiday I presume not.<br>
<br>
=A0 =A0 =A0 =A0 Thanks,<br>
=A0 =A0 =A0 =A0 Paul<br>
______________________________<u></u>_________________<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/<u></u>listinfo/clue</a><br>
</blockquote></div><br></div></div>

--e89a8f646a0778002904c3e2022b--

From allyn@cisco.com  Mon Jul  2 20:23:45 2012
Return-Path: <allyn@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id EFB4C11E811A for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 20:23:45 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.598
X-Spam-Level: 
X-Spam-Status: No, score=-10.598 tagged_above=-999 required=5 tests=[AWL=0.001, BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id RLAT2EcQoRXo for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 20:23:44 -0700 (PDT)
Received: from rcdn-iport-2.cisco.com (rcdn-iport-2.cisco.com [173.37.86.73]) by ietfa.amsl.com (Postfix) with ESMTP id AB24811E8119 for <clue@ietf.org>; Mon,  2 Jul 2012 20:23:44 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=allyn@cisco.com; l=10005; q=dns/txt; s=iport; t=1341285831; x=1342495431; h=from:to:subject:date:message-id: content-transfer-encoding:mime-version; bh=os8ZJpI8+3C96EQvp7Z/necT2/6ryfcllnF+VZXczzQ=; b=ED2F+jy4URzQcJQOLsevJpPiyn2QLH3e7ESboqCpi0HFSlZ+ndWy56Ex Zd8Fw5IxcnQGgs0yNlaWAJ799rkW0mGSdrTIkMmrbEn1qJEfR1BxSL7bL XjrcfeWi5RUDGWrFhG3EZXO2g32SVuu4CpP/YblD25vGJXAiLwQJvNs76 A=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av8EAIRl8k+tJV2c/2dsb2JhbAA8CbZogQeCGAEBAQQBAQEPAScuBgkOBgEIEQQBAQsUCS4LFAgBCQEEARIIEweHaQuaWqBIBIs5EYUpYAOLJ5BPh1uBZoJf
X-IronPort-AV: E=Sophos;i="4.77,514,1336348800"; d="scan'208";a="98148680"
Received: from rcdn-core-5.cisco.com ([173.37.93.156]) by rcdn-iport-2.cisco.com with ESMTP; 03 Jul 2012 03:23:51 +0000
Received: from xhc-rcd-x14.cisco.com (xhc-rcd-x14.cisco.com [173.37.183.88]) by rcdn-core-5.cisco.com (8.14.5/8.14.5) with ESMTP id q633Npvf003998 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Tue, 3 Jul 2012 03:23:51 GMT
Received: from xmb-aln-x02.cisco.com ([169.254.5.100]) by xhc-rcd-x14.cisco.com ([173.37.183.88]) with mapi id 14.02.0298.004; Mon, 2 Jul 2012 22:23:50 -0500
From: "Allyn Romanow (allyn)" <allyn@cisco.com>
To: Roni even <Even.roni@huawei.com>, "clue@ietf.org" <clue@ietf.org>
Thread-Topic: [clue] FW: New Version Notification for draft-even-clue-swithed-use-cases-00.txt
Thread-Index: Ac1Yy0DRcMMsBwLYQdydMw8rv0ya0Q==
Date: Tue, 3 Jul 2012 03:23:49 +0000
Message-ID: <FD433719B54BFE41A70641D06F516F1302084B@xmb-aln-x02.cisco.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.21.79.41]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19014.000
x-tm-as-result: No--43.831600-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] FW: New Version Notification for draft-even-clue-swithed-use-cases-00.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 03 Jul 2012 03:23:46 -0000

Hi Roni,
I mentioned during the weekly call that I had some comments. Thanks for you=
r patience in getting them to you.
Best,
Allyn




I think your draft is really useful and well put. I just have two comments =
which I'll illustrate in comments on Section 3.

1.	You are including both composition and switched captures as if they are =
similar or can be treated similarly. I don't think that's the case.
2.	I feel that sometimes a solution is included in the description of the i=
ssue and I think it is preferable that the use cases are just the descripti=
on of the issue, and possible solutions can be stated separately.


Section 3
I think the statement of the issue is quite good and well put - the consume=
r wants to have better control over what it is sent.
Similarly your bulleted examples are also helpful and descriptive.


Here are my specific comments on the use case list -

   The above examples represent part of the possible cases where the
   consumer wants control over the content of the media captures and of
   cases where the consumer provides more information to the provider
   about his hardware and software capabilities.

I think the wording is a bit too specific. It's not only that the consumer =
"wants control over the content of the media captures", it's more that the =
consumer wants to specify which media captures are offered - which I think =
is a bit different. So I would say something more like
=20
	the consumer wants more control over the captures it receives

The statement "consumer provides more information to the provider about his=
 hardware and software capabilities" is a bit too narrow. Perhaps the consu=
mer wants to specify its layout. Also, this is a more a statement of a solu=
tion - for the consumer to provide more information about his abilities is =
a solution to a problem, rather than a statement of the problem. I would su=
ggest not including this sentence.

1.	The provider offers multiple mixed captures.  Currently the only
      attribute has a Boolean value.  The provider would like to
      provide more information about the mixes content allowing the
      consumer to select a relevant one.

I think the problem is stated, but so is the solution - the problem is that=
 the consumer wants to select among multiple offered mixed captures. A mech=
anism is needed. "The provider would like to provide more information about=
 the mixes content" is a particular solution. For example, another particul=
ar solution is that the provider chooses; another is that the provider send=
s a ranking number for each offered composition.. There are countless appro=
aches in addition to the one offered here. So, I would suggest leaving out =
this sentence.

   2.   The provider would like to offer only media captures that are
        useful to the consumer.  The simple case is based on the number
        of available monitors for main video.

Why does the provider want to offer only media captures that are useful to =
the consumer? This isn't how the model thus far is specified. Rather, the p=
rovider wants to offer what it can, and leave it up to the consumer to take=
 what it wants. Maybe you were referring to a desire to optimize the announ=
cement? When and why?

I'm not so sure what the second sentence means, but I think it means that y=
ou want the provider to make its offer based on the number of monitors that=
 the consumer has? But that wouldn't make sense..since the consumer can use=
 more streams than it has monitors,  so I guess I don't know what it means?=
?

   3.   The consumer will provide more information about his preferences
        for example the total number of monitors that can be used
        dynamically for all types of media (number of speakers, number
        of monitors for main or presentation video, the number of
        simultaneous video streams that the consumer can decode ...).
        The provider will advertise relevant CSEs that he can support to
        address these preferences.  It may be more than one option.

This item is a proposal for a solution to the issues being described. As su=
ch I don't think it should be in this document as it currently describes it=
self as a description of use cases.

   4.   The MCU will offer mixed media captures (one or more) in one or
        more CSEs.  The consumer want to select how many sources are in
        each mixed capture and how the layout should look.  This will
        allow each consumer to create a personal layout if the MCU
        allows this functionality.  The MCU is doing the actual mix in
        the case.

By "mixed media captures", do you mean composed captures? If so, I believe =
that there has been a decision in the WG, discussed most recently during th=
e interim meeting, not to work on the topic of compositions in detail - the=
 process of composing and decomposing. I think that your second sentence re=
lates to compositions and how they are formed.

So, I think this item should not be included in this document.=20

   5.   The MCU will offer multiple media captures in one or more CSEs.
        The consumer want to select who will be seen in each mixed
        capture knowing the number of maximum media streams that can
        compose the mix.  This use cases adds to the previous one the
        ability to control the policy by which streams are added or
        removed from a mix.

As in #4, I think it was decided not delve into the process of composing an=
d decomposing mixes. I believe this is work that does not need to be done i=
n CLUE, and someone could start the work somewhere else if desired.
Thus, this item should be removed from the list.

6.	 The MCU will offer multiple switched media captures in one or
        more CSEs.  The consumer wants to define a switching policy for
        each of the switched streams.

Point of clarification what is a switching policy for each switched stream?=
 You mean a policy like VAD, for example?  We haven't discussed yet how the=
 policy for choosing switched content happens. Up to now it's the provider =
who decides. Now, are you suggesting that the consumer wants to specify the=
 basis for choosing content of a switched capture?
   7.   The MCU will offer multiple switched and mixed media captures in
        one or more CSEs.  The consumer would like to define the layouts
        topology.

I think this is a restatement - if there is a switched capture the consumer=
 needs to know where to put it.
If there is more than one composed capture, there needs to be a way of sele=
cting between them.
Again, I think that saying the "consumer would like to define the layouts t=
opology" is going too far toward a solution in a description of the use cas=
es. Very likely this is a possible solution, but there are others.
So I think this item could be removed, or restated.=20

Again, the consumer defining the layouts topology is a solution to a proble=
m, not the use case.


   9.   The consumer would like to get multiple media captures and
        create his own views.  The media capture may be a switched
        stream.  The information available to the consumer should
        include the identity of the stream and its spatial information
        (example left camera from TPRoom1).  The information should be
        available when a switch occurs.

What do mean by identity of the stream? Roster info? I thought that roster =
info was considered conference control and not being handled by CLUE?

Otherwise, this item  seems like this is more a less a statement of the iss=
ue of switched captures not having enough spatial information for rendering=
. As such, it could be dstate like that, as a description of an issue, and =
moved further up in the list?

   10.  The consumer would like to define layouts to the provider to be
        used for the media captures.  The consumer accepts a mixed or
        switched stream in each sub-window.  The maximum number of
        switched streams will be the number of sub-windows.  The
        consumer will need to know who is the current stream in a mixed
        capture including his spatial information.


I'm not clear what this is saying, and whether it's use case, problem state=
ment or solution proposal.

-----Original Message-----
From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Ron=
i even
Sent: Monday, June 11, 2012 7:20 AM
To: clue@ietf.org
Subject: [clue] FW: New Version Notification for draft-even-clue-swithed-us=
e-cases-00.txt

Hi,
I submitted a document that list some use cases where using the switched an=
d mixed attributes for media capture will not provide enough information.
This was my action item from the Interim meeting in Stockholm.=20

I noticed a typo in the document name after I submitted it Thanks Roni Even

________________________________________
From: internet-drafts@ietf.org [internet-drafts@ietf.org]
Sent: Monday, June 11, 2012 17:13
To: Roni even
Subject: New Version Notification for draft-even-clue-swithed-use-cases-00.=
txt

A new version of I-D, draft-even-clue-swithed-use-cases-00.txt has been suc=
cessfully submitted by Roni Even and posted to the IETF repository.

Filename:        draft-even-clue-swithed-use-cases
Revision:        00
Title:           CLUE switched and mixed captures use cases
Creation date:   2012-06-11
WG ID:           Individual Submission
Number of pages: 7

Abstract:
   This document describes multi stream use cases using switched and
   mixed streams.  This document present the cases when using the
   switched and mixed attributes with Boolean values may not provide the
   best results.




The IETF Secretariat
_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

From Christian.Groves@nteczone.com  Mon Jul  2 23:48:47 2012
Return-Path: <Christian.Groves@nteczone.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 3745411E813E for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 23:48:47 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.449
X-Spam-Level: 
X-Spam-Status: No, score=-2.449 tagged_above=-999 required=5 tests=[AWL=0.150,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id duAkCbjfdiLK for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 23:48:46 -0700 (PDT)
Received: from ipmail04.adl6.internode.on.net (ipmail04.adl6.internode.on.net [IPv6:2001:44b8:8060:ff02:300:1:6:4]) by ietfa.amsl.com (Postfix) with ESMTP id 086ED11E8134 for <clue@ietf.org>; Mon,  2 Jul 2012 23:48:45 -0700 (PDT)
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: ApMBABCV8k920X8k/2dsb2JhbAANOLoLAQEBBAEBARoVAQUbGwoRCxEDAQEBAQkWCAcJAwIBAgEPBh8JCBMGAgEBBYd0AxaxTQ2JTopSZhqGAAOgOIdxgU0
Received: from ppp118-209-127-36.lns20.mel4.internode.on.net (HELO [127.0.0.1]) ([118.209.127.36]) by ipmail04.adl6.internode.on.net with ESMTP; 03 Jul 2012 16:18:51 +0930
Message-ID: <4FF295CE.2070903@nteczone.com>
Date: Tue, 03 Jul 2012 16:48:46 +1000
From: Christian Groves <Christian.Groves@nteczone.com>
User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:13.0) Gecko/20120614 Thunderbird/13.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <CC17D4C0.889DC%stewe@stewe.org>
In-Reply-To: <CC17D4C0.889DC%stewe@stewe.org>
Content-Type: text/plain; charset=windows-1252; format=flowed
Content-Transfer-Encoding: 8bit
Subject: Re: [clue] Concensus call: Text for "Axis of Capture"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 03 Jul 2012 06:48:47 -0000

I'm getting confused.... my understanding is the following:

- If the "point of capture" is included and the "axis of capture point" 
is not included then the axis is assumed to be perpendicular to the 
centre of the capture area.
- if the "point of capture" is included and the "axis of capture point" 
is included it describes a position in space of a second point on the 
axis of capture of the capturing device;***
- If the "point of capture" is not included then "axis of capture point" 
is not used.

Is this the desired behaviour?

With regards to the *** above, an axis (line) travels in two directions. 
I wonder if it is beneficial to specify that the axis of capture point 
must lie between the capture area and the point of capture. Might help 
avoid some confusion if someone defines a point behind the capture point.

I'm also wondering if it is better to call this "line of capture" or 
"optical axis" or similar? Mathematically speaking what we're defining 
by two points is a line or optically speaking its an optical axis.

Regards, Christian

On 3/07/2012 6:51 AM, Stephan Wenger wrote:
> Lousy internet connection—let's see whether this gets through…
> Roni, without any changes, y reading of the text proposed is that 
> there is no axis of capture knowledge unless both point and axis of 
> capture are specified. No inference of the axis of capture from the 
> field of capture is implied.
> I think I support this proposal. It is trivial to calculate a point of 
> capture even if point of capture is identical with the center of the 
> field of capture coordinates. The signaling may be unnecessary if we 
> were mandating a condition as you implicitly propose it, but bits on 
> this level ought to be cheap. Suggest we be explicit and say either 
> point of capture is specified, or no one knows.
> Stephan
>
>
> From: Roni Even <ron.even.tlv@gmail.com <mailto:ron.even.tlv@gmail.com>>
> Date: Monday, 2 July, 2012 12:46
> To: 'Mary Barnes' <mary.ietf.barnes@gmail.com 
> <mailto:mary.ietf.barnes@gmail.com>>, 'CLUE' <clue@ietf.org 
> <mailto:clue@ietf.org>>
> Subject: Re: [clue] Concensus call: Text for "Axis of Capture"
>
> Hi,
>
> In general I am OK with the text I am just wondering about
>
> “If the Axis of Capture Point is not specified, it means the consumer should not assume anything about the axis of capture of the capturing device.”
>   
> Is this the assumption or should the consumer assume that the axis of capture is perpendicular to the center of the area of capture. If the above sentence is specified I am wondering what is the value in providing the point of capture.
> Thanks
> Roni
>
> *From:*clue-bounces@ietf.org <mailto:clue-bounces@ietf.org> 
> [mailto:clue-bounces@ietf.org] *On Behalf Of *Mary Barnes
> *Sent:* 02 July, 2012 7:58 PM
> *To:* CLUE
> *Subject:* [clue] Concensus call: Text for "Axis of Capture"
>
> Per the design team call last week, we want to do a consensus call for 
> the text to cover the "Axis of capture". There were several suggested 
> updates to Stephan's original text:
>
> http://www.ietf.org/mail-archive/web/clue/current/msg01583.html
>
> Thus, we would like folks to respond as to whether they are okay with 
> the following text being added to section 6.1.1(relative to 
> draft-ietf-clue-framework-05 - after the two paragraphs of "point of 
> capture" - middle of page 11):
>
>   
>     Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian
>   
>     (X, Y, Z) point value (virtual or physical) which describes a position
>   
>     in space of a second point on the axis of capture of the capturing
>   
>     device; the first point being the Point of Capture (see above).
>   
>   
>     The axis of capture point MUST NOT be specified if the Point of Capture
>     is not present for this capture device.
>     When the Axis of Capture Point attribute is specified, it must include X,
>     Y and Z coordinates.  These coordinates MUST not be identical to the
>   
>     Point of Capture coordinates.
>     If the Axis of Capture Point is not specified, it
>     means the consumer should not assume anything about the axis of
>   
>     capture of the capturing device.
>
> So, please respond "Yes" if you think the text if fine, "Maybe" if you 
> think it needs tweaking (and include the suggested
>
> tweaks). Note, we agreed to add this at the interim meeting, thus if 
> you answer "No", you must include
>
> a compelling reason why this should not be added in some form.
>
> Regards,
>
> Mary
>
> CLUE WG co-chair
>
>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue



From Christian.Groves@nteczone.com  Mon Jul  2 23:53:03 2012
Return-Path: <Christian.Groves@nteczone.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 1FB1621F8534 for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 23:53:03 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.499
X-Spam-Level: 
X-Spam-Status: No, score=-2.499 tagged_above=-999 required=5 tests=[AWL=0.100,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id aYBBcRRU72PL for <clue@ietfa.amsl.com>; Mon,  2 Jul 2012 23:53:02 -0700 (PDT)
Received: from ipmail04.adl6.internode.on.net (ipmail04.adl6.internode.on.net [IPv6:2001:44b8:8060:ff02:300:1:6:4]) by ietfa.amsl.com (Postfix) with ESMTP id 3E9EF21F8550 for <clue@ietf.org>; Mon,  2 Jul 2012 23:53:01 -0700 (PDT)
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: ApMBADmW8k920X8k/2dsb2JhbAANLgq6CwEBAQQBAQE1GxsKDQQLEQQBAQEJFggHCQMCAQIBFR8JCBMGAgEBBYgNuy2LOBAKgmSDHAOoKYFN
Received: from ppp118-209-127-36.lns20.mel4.internode.on.net (HELO [127.0.0.1]) ([118.209.127.36]) by ipmail04.adl6.internode.on.net with ESMTP; 03 Jul 2012 16:23:08 +0930
Message-ID: <4FF296D0.6020606@nteczone.com>
Date: Tue, 03 Jul 2012 16:53:04 +1000
From: Christian Groves <Christian.Groves@nteczone.com>
User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:13.0) Gecko/20120614 Thunderbird/13.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F38@CRPMBOXPRD01.polycom.com> <4FF210B4.2040809@alum.mit.edu> <44C6B6B2D0CF424AA90B6055548D7A6102FE035F86@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F86@CRPMBOXPRD01.polycom.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Framework scene description attribute update
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 03 Jul 2012 06:53:03 -0000

Hello Mark,

Having the language tag with the text as Paul suggests seems more 
natural to me.

Regards, Christian

On 3/07/2012 8:23 AM, Duckworth, Mark wrote:
> Hi Paul,
> I thought of your way too, which is also fine with me.  I can reword the text to do it that way if people prefer.
> Mark
>
>> -----Original Message-----
>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
>> Paul Kyzivat
>> Sent: Monday, July 02, 2012 5:21 PM
>> To: clue@ietf.org
>> Subject: Re: [clue] Framework scene description attribute update
>>
>> Mark,
>>
>> So you are proposing one list of descriptions, and a separate but parallel list
>> of languages?
>>
>> That seems clumsy, unnatural, and error prone. Why not a list of pairs of
>> (description, language)? And I'd be inclined to specify that a particular
>> language value MUST NOT be specified more than once.
>>
>> 	Thanks,
>> 	Paul
>>
>> On 7/2/12 5:12 PM, Duckworth, Mark wrote:
>>> Based on the decision at the interim meeting to support multiple
>>> description strings, each in a different language, here is my proposed
>>> updated text for the framework document. I also addressed Christians
>>> comments
>>> http://www.ietf.org/mail-archive/web/clue/current/msg01522.html
>>>
>>> Please review this change.
>>>
>>> Description attribute
>>>
>>> The optional description attribute is a list of human readable text
>>>
>>> strings which describes the capture scene. If there is more than one
>>>
>>> string in the list, then each string in the list should contain the
>>>
>>> same description, but in a different language. A provider that
>>>
>>> advertises multiple capture scenes may use different descriptions to
>>>
>>> differentiate between them. This attribute can contain text in any
>>>
>>> number of languages.
>>>
>>> Description Language attribute
>>>
>>> This attribute is a list of language tags, to identify the language
>>>
>>> of the corresponding description attribute text. The number of
>>>
>>> language tags in this list must be the same as the number of strings
>>>
>>> in the description list. The possible values for a language tag are
>>>
>>> the values of the 'Subtag' column for the "Type: language" entries in
>>>
>>> the "Language Subtag Registry" at [IANA-Lan] originally defined in
>>>
>>> [RFC5646].
>>>
>>> Regards,
>>>
>>> Mark
>>>
>>>
>>>
>>> _______________________________________________
>>> clue mailing list
>>> clue@ietf.org
>>> https://www.ietf.org/mailman/listinfo/clue
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>



From Mark.Duckworth@polycom.com  Tue Jul  3 06:19:52 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 07ADA21F87EE for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 06:19:52 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.339
X-Spam-Level: 
X-Spam-Status: No, score=-6.339 tagged_above=-999 required=5 tests=[AWL=0.260,  BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id zFYRC0IKWmGV for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 06:19:51 -0700 (PDT)
Received: from Crpehubprd01.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id 3635C21F86A6 for <clue@ietf.org>; Tue,  3 Jul 2012 06:19:50 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::ad68:5a0:c919:66b6]) by Crpehubprd01.polycom.com ([fe80::5efe:10.236.0.158%14]) with mapi; Tue, 3 Jul 2012 06:19:58 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Tue, 3 Jul 2012 06:19:56 -0700
Thread-Topic: [clue] Framework scene description attribute update
Thread-Index: Ac1YpgdkCboiOtirR+WbcCXCfpZJNQAd7ijw
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A6102FE03605E@CRPMBOXPRD01.polycom.com>
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F38@CRPMBOXPRD01.polycom.com> <4FF210B4.2040809@alum.mit.edu> <44C6B6B2D0CF424AA90B6055548D7A6102FE035F86@CRPMBOXPRD01.polycom.com> <4FF22746.2090909@alum.mit.edu>
In-Reply-To: <4FF22746.2090909@alum.mit.edu>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] Framework scene description attribute update
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 03 Jul 2012 13:19:52 -0000

Okay, how about this text for the scene description attribute:

   Description attribute - list of {<description text>, <language tag>}

   The optional description attribute is a list of human readable text
   strings which describe the capture scene.  If there is more than one
   string in the list, then each string in the list should contain the
   same description, but in a different language.  A provider that
   advertises multiple capture scenes may use different descriptions to
   differentiate between them.  This attribute can contain text in any
   number of languages.

   The language tag identifies the language of the corresponding
   description text.  The possible values for a language tag are the
   values of the 'Subtag' column for the "Type: language" entries in the
   "Language Subtag Registry" at [IANA-Lan] originally defined in
   [RFC5646].  A particular language tag value MUST NOT be used more
   than once in the description attribute list.

Mark

> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
> Paul Kyzivat
> Sent: Monday, July 02, 2012 6:57 PM
> To: clue@ietf.org
> Subject: Re: [clue] Framework scene description attribute update
>=20
> On 7/2/12 6:23 PM, Duckworth, Mark wrote:
> > Hi Paul,
> > I thought of your way too, which is also fine with me.  I can reword th=
e text
> to do it that way if people prefer.
> > Mark
>=20
> In practice I think we want to end up with what Espen commented.
> But you have to get down into the xml to describe that. The model is too =
high
> level to talk about it that way. So what I said, or anything else that ca=
n clearly
> map to what Espen said works for me.
>=20
> 	Thanks,
> 	Paul
>=20
> >> -----Original Message-----
> >> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf
> >> Of Paul Kyzivat
> >> Sent: Monday, July 02, 2012 5:21 PM
> >> To: clue@ietf.org
> >> Subject: Re: [clue] Framework scene description attribute update
> >>
> >> Mark,
> >>
> >> So you are proposing one list of descriptions, and a separate but
> >> parallel list of languages?
> >>
> >> That seems clumsy, unnatural, and error prone. Why not a list of
> >> pairs of (description, language)? And I'd be inclined to specify that
> >> a particular language value MUST NOT be specified more than once.
> >>
> >> 	Thanks,
> >> 	Paul
> >>
> >> On 7/2/12 5:12 PM, Duckworth, Mark wrote:
> >>> Based on the decision at the interim meeting to support multiple
> >>> description strings, each in a different language, here is my
> >>> proposed updated text for the framework document. I also addressed
> >>> Christians comments
> >>> http://www.ietf.org/mail-archive/web/clue/current/msg01522.html
> >>>
> >>> Please review this change.
> >>>
> >>> Description attribute
> >>>
> >>> The optional description attribute is a list of human readable text
> >>> strings which describes the capture scene. If there is more than one
> >>> string in the list, then each string in the list should contain the
> >>> same description, but in a different language. A provider that
> >>> advertises multiple capture scenes may use different descriptions to
> >>> differentiate between them. This attribute can contain text in any
> >>> number of languages.
> >>>
> >>> Description Language attribute
> >>>
> >>> This attribute is a list of language tags, to identify the language
> >>> of the corresponding description attribute text. The number of
> >>> language tags in this list must be the same as the number of strings
> >>> in the description list. The possible values for a language tag are
> >>> the values of the 'Subtag' column for the "Type: language" entries
> >>> in
> >>> the "Language Subtag Registry" at [IANA-Lan] originally defined in
> >>> [RFC5646].
> >>>
> >>> Regards,
> >>>
> >>> Mark

From Mark.Duckworth@polycom.com  Tue Jul  3 07:47:45 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 6A1DB21F86B4 for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 07:47:45 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.382
X-Spam-Level: 
X-Spam-Status: No, score=-6.382 tagged_above=-999 required=5 tests=[AWL=0.216,  BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id OePSAr9GZRxN for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 07:47:44 -0700 (PDT)
Received: from crpehubprd02.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id BBDE321F8628 for <clue@ietf.org>; Tue,  3 Jul 2012 07:47:44 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::ad68:5a0:c919:66b6]) by crpehubprd02.polycom.com ([fe80::5efe:10.236.0.154%12]) with mapi; Tue, 3 Jul 2012 07:47:51 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Tue, 3 Jul 2012 07:47:49 -0700
Thread-Topic: Is there anything else to change in the framework right now?
Thread-Index: Ac1ZKohwPIkhNB1TS/2FqJ6Z1asGQg==
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A6102FE0360D2@CRPMBOXPRD01.polycom.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: multipart/alternative; boundary="_000_44C6B6B2D0CF424AA90B6055548D7A6102FE0360D2CRPMBOXPRD01p_"
MIME-Version: 1.0
Subject: [clue] Is there anything else to change in the framework right now?
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 03 Jul 2012 14:47:45 -0000

--_000_44C6B6B2D0CF424AA90B6055548D7A6102FE0360D2CRPMBOXPRD01p_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

Here is the list I have of changes going into the next version of the frame=
work:

   1.  Capture scene description attribute is a list of text strings,
       each in a different language, rather than just a single string.

   2.  Add new Axis of Capture Point attribute.

   3.  Remove appendices A.1 through A.6.

   4.  Clarify that the provider must use the same coordinate system
       with same scale and origin for all coordinates within the same
       capture scene.

This is all I know about that has consensus to change.  Am I missing anythi=
ng?

Thanks,
Mark

--_000_44C6B6B2D0CF424AA90B6055548D7A6102FE0360D2CRPMBOXPRD01p_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40"><head><META HTTP-EQUIV=3D"Content-Type" CONTENT=
=3D"text/html; charset=3Dus-ascii"><meta name=3DGenerator content=3D"Micros=
oft Word 14 (filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:11.0pt;
	font-family:"Calibri","sans-serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
span.EmailStyle17
	{mso-style-type:personal-compose;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue vli=
nk=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal>Here is the list=
 I have of changes going into the next version of the framework:<o:p></o:p>=
</p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>&nbsp;&n=
bsp; 1.&nbsp; Capture scene description attribute is a list of text strings=
,<o:p></o:p></p><p class=3DMsoNormal>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; e=
ach in a different language, rather than just a single string.<o:p></o:p></=
p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>&nbsp;&nbs=
p; 2.&nbsp; Add new Axis of Capture Point attribute.<o:p></o:p></p><p class=
=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>&nbsp;&nbsp; 3.&nbsp=
; Remove appendices A.1 through A.6.<o:p></o:p></p><p class=3DMsoNormal><o:=
p>&nbsp;</o:p></p><p class=3DMsoNormal>&nbsp;&nbsp; 4.&nbsp; Clarify that t=
he provider must use the same coordinate system<o:p></o:p></p><p class=3DMs=
oNormal>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; with same scale and origin for=
 all coordinates within the same<o:p></o:p></p><p class=3DMsoNormal>&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp; capture scene.<o:p></o:p></p><p class=3DMsoNo=
rmal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>This is all I know about tha=
t has consensus to change.&nbsp; Am I missing anything?<o:p></o:p></p><p cl=
ass=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>Thanks,<o:p></o:p=
></p><p class=3DMsoNormal>Mark<o:p></o:p></p></div></body></html>=

--_000_44C6B6B2D0CF424AA90B6055548D7A6102FE0360D2CRPMBOXPRD01p_--

From john@jlc.net  Tue Jul  3 10:50:49 2012
Return-Path: <john@jlc.net>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 073E311E8191 for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 10:50:49 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -106.56
X-Spam-Level: 
X-Spam-Status: No, score=-106.56 tagged_above=-999 required=5 tests=[AWL=0.039, BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id iz-Aw1UvkEWt for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 10:50:47 -0700 (PDT)
Received: from mailhost.jlc.net (mailhost.jlc.net [199.201.159.4]) by ietfa.amsl.com (Postfix) with ESMTP id A5C7311E80A4 for <clue@ietf.org>; Tue,  3 Jul 2012 10:50:46 -0700 (PDT)
Received: by mailhost.jlc.net (Postfix, from userid 104) id A5F5B33C26; Tue,  3 Jul 2012 13:50:54 -0400 (EDT)
Date: Tue, 3 Jul 2012 13:50:54 -0400
From: John Leslie <john@jlc.net>
To: Christian Groves <Christian.Groves@nteczone.com>
Message-ID: <20120703175054.GA63837@verdi>
References: <CC17D4C0.889DC%stewe@stewe.org> <4FF295CE.2070903@nteczone.com>
Mime-Version: 1.0
Content-Type: text/plain; charset=us-ascii
Content-Disposition: inline
In-Reply-To: <4FF295CE.2070903@nteczone.com>
User-Agent: Mutt/1.4.1i
Cc: clue@ietf.org
Subject: Re: [clue] Concensus call: Text for "Axis of Capture"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 03 Jul 2012 17:50:49 -0000

Christian Groves <Christian.Groves@nteczone.com> wrote:
> 
> I'm getting confused.... my understanding is the following:
> 
> - If the "point of capture" is included and the "axis of capture point" 
>   is not included then the axis is assumed to be perpendicular to the 
>   centre of the capture area.

   That's enough to confuse me!

   I went back to the text of draft-ietf-clue-framework-05, section 6.1.1:
]...
] Point of Capture: {(X, Y, Z)} A field with a single Cartesian (X, Y,
] Z) point value which describes the spatial location, virtual or
] physical, of the capturing device (such as camera).
] 
] When the Point of Capture attribute is specified, it must include X,
] Y and Z coordinates.  If the point of capture is not specified, it
] means the consumer should not assume anything about the spatial
] location of the capturing device.  Even if the provider specifies an
] area of capture attribute, it does not need to specify the point of
] capture.

   That last sentence is enough to confuse anybody, IMHO. :^(

   But I don't see how you're entitled to assume "perpendicular" to the
plane of the Area of Capture. IMHO, failure to include Point of Capture
is distinctly not-nice, and leaves you no good way to associate pixel
positions with physical positions.

   It's certainly possible that the provider would fail to include Point
of Capture because s/he's providing a processed piece, possibly stiched
together from parts of different cameras. (I don't consider that nice
either!)

> - if the "point of capture" is included and the "axis of capture point" 
>   is included it describes a position in space of a second point on the 
>   axis of capture of the capturing device;***

   Refer to the proposed text:
] 
] Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian 
] (X, Y, Z) point value (virtual or physical) which describes a position 
] in space of a second point on the axis of capture of the capturing 
] device; the first point being the Point of Capture (see above).
]
] The axis of capture point MUST NOT be specified if the Capture Point 
] is not present for this capture device.
]
] When the Axis of Capture Point attribute is specified, it must include X,
] Y and Z coordinates.  If the Axis of Capture point is not specified, it
] means the consumer should not assume anything about the axis of
] Capture of the capturing device.

   Your statement seems correct, though not 100% implied. I wonder why
we don't specify that the Axis of Capture Point is a point within the
plane of the Area of Capture (when possible).

> - If the "point of capture" is not included then "axis of capture point" 
>   is not used.

   That much is clear.

> Is this the desired behaviour?
> 
> With regards to the *** above, an axis (line) travels in two directions. 

   Quite correct.

> I wonder if it is beneficial to specify that the axis of capture point 
> must lie between the capture area and the point of capture.

   You mean Area of Capture, no doubt?

> Might help avoid some confusion if someone defines a point behind the
> capture point.

   If someone can't handle that, we have worse problems!

   Nonetheless, ISTM that one will need to calculate the intersection
of that line with the Area of Capture (unless the Axis of Capture Point
is defined to be that intersection already). This introduces rounding
errors which could possibly be significant.

> I'm also wondering if it is better to call this "line of capture" or 
> "optical axis" or similar? Mathematically speaking what we're defining 
> by two points is a line or optically speaking its an optical axis.

   It might indeed be easier to understand (though I must admit the
_value_ is a single XYZ point)...

--
John Leslie <john@jlc.net>

From pkyzivat@alum.mit.edu  Tue Jul  3 10:55:23 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 7C27C11E8096 for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 10:55:23 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.097
X-Spam-Level: 
X-Spam-Status: No, score=-2.097 tagged_above=-999 required=5 tests=[AWL=0.502,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id GnLCa7dOZ0Nu for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 10:55:22 -0700 (PDT)
Received: from qmta15.westchester.pa.mail.comcast.net (qmta15.westchester.pa.mail.comcast.net [76.96.59.228]) by ietfa.amsl.com (Postfix) with ESMTP id 90D6F11E8073 for <clue@ietf.org>; Tue,  3 Jul 2012 10:55:20 -0700 (PDT)
Received: from omta22.westchester.pa.mail.comcast.net ([76.96.62.73]) by qmta15.westchester.pa.mail.comcast.net with comcast id VoR91j0041ap0As5FtvZTa; Tue, 03 Jul 2012 17:55:33 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta22.westchester.pa.mail.comcast.net with comcast id Vtvb1j00d3ZTu2S3itvc5s; Tue, 03 Jul 2012 17:55:36 +0000
Message-ID: <4FF3320F.5010809@alum.mit.edu>
Date: Tue, 03 Jul 2012 13:55:27 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE0360D2@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A6102FE0360D2@CRPMBOXPRD01.polycom.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Is there anything else to change in the framework right now?
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 03 Jul 2012 17:55:23 -0000

On 7/3/12 10:47 AM, Duckworth, Mark wrote:

> 4. Clarify that the provider must use the same coordinate system
> with same scale and origin for all coordinates within the same
> capture scene.

This is inescapable if the coordinate system scale and origin are only 
specifiable as attributes of the capture scene, because there is no way 
to violate this.

	Thanks,
	Paul

From pkyzivat@alum.mit.edu  Tue Jul  3 11:40:25 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 29BF211E81BB for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 11:40:25 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.174
X-Spam-Level: 
X-Spam-Status: No, score=-2.174 tagged_above=-999 required=5 tests=[AWL=0.425,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id O7u15CaToSLm for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 11:40:24 -0700 (PDT)
Received: from QMTA11.westchester.pa.mail.comcast.net (qmta11.westchester.pa.mail.comcast.net [76.96.59.211]) by ietfa.amsl.com (Postfix) with ESMTP id 23EAB11E81B2 for <clue@ietf.org>; Tue,  3 Jul 2012 11:40:23 -0700 (PDT)
Received: from omta03.westchester.pa.mail.comcast.net ([76.96.62.27]) by QMTA11.westchester.pa.mail.comcast.net with comcast id Vudy1j0040bG4ec5BugaWu; Tue, 03 Jul 2012 18:40:34 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta03.westchester.pa.mail.comcast.net with comcast id VugW1j01d3ZTu2S3PugXAC; Tue, 03 Jul 2012 18:40:34 +0000
Message-ID: <4FF33C9C.3020503@alum.mit.edu>
Date: Tue, 03 Jul 2012 14:40:28 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <CC17D4C0.889DC%stewe@stewe.org> <4FF295CE.2070903@nteczone.com> <20120703175054.GA63837@verdi>
In-Reply-To: <20120703175054.GA63837@verdi>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Concensus call: Text for "Axis of Capture"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 03 Jul 2012 18:40:25 -0000

Interesting discussion.

I'm known for probing corner cases, and I'm going to do some of that here.

On 7/3/12 1:50 PM, John Leslie wrote:
> Christian Groves<Christian.Groves@nteczone.com>  wrote:
>>
>> I'm getting confused.... my understanding is the following:
>>
>> - If the "point of capture" is included and the "axis of capture point"
>>    is not included then the axis is assumed to be perpendicular to the
>>    centre of the capture area.
>
>     That's enough to confuse me!
>
>     I went back to the text of draft-ietf-clue-framework-05, section 6.1.1:
> ]...
> ] Point of Capture: {(X, Y, Z)} A field with a single Cartesian (X, Y,
> ] Z) point value which describes the spatial location, virtual or
> ] physical, of the capturing device (such as camera).
> ]
> ] When the Point of Capture attribute is specified, it must include X,
> ] Y and Z coordinates.  If the point of capture is not specified, it
> ] means the consumer should not assume anything about the spatial
> ] location of the capturing device.  Even if the provider specifies an
> ] area of capture attribute, it does not need to specify the point of
> ] capture.
>
>     That last sentence is enough to confuse anybody, IMHO. :^(

What is confusing?

>     But I don't see how you're entitled to assume "perpendicular" to the
> plane of the Area of Capture. IMHO, failure to include Point of Capture
> is distinctly not-nice, and leaves you no good way to associate pixel
> positions with physical positions.

Is there any requirement that the point of capture be *in front* of the 
area of capture? Couldn't it be behind? If so, wouldn't that have great 
impact on how you interpret the video?

>     It's certainly possible that the provider would fail to include Point
> of Capture because s/he's providing a processed piece, possibly stiched
> together from parts of different cameras. (I don't consider that nice
> either!)

Again, without a point of capture, how do you know the orientation of 
the display?

>> - if the "point of capture" is included and the "axis of capture point"
>>    is included it describes a position in space of a second point on the
>>    axis of capture of the capturing device;***
>
>     Refer to the proposed text:
> ]
> ] Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian
> ] (X, Y, Z) point value (virtual or physical) which describes a position
> ] in space of a second point on the axis of capture of the capturing
> ] device; the first point being the Point of Capture (see above).
> ]
> ] The axis of capture point MUST NOT be specified if the Capture Point
> ] is not present for this capture device.
> ]
> ] When the Axis of Capture Point attribute is specified, it must include X,
> ] Y and Z coordinates.  If the Axis of Capture point is not specified, it
> ] means the consumer should not assume anything about the axis of
> ] Capture of the capturing device.
>
>     Your statement seems correct, though not 100% implied. I wonder why
> we don't specify that the Axis of Capture Point is a point within the
> plane of the Area of Capture (when possible).

I suppose it should always be possible. But by requiring it you open up 
issues when rounding errors cause it to be "not quite" in the plane. We 
don't want to have errors just because people use differing precision 
for their arithmetic.

	Thanks,
	Paul

>> - If the "point of capture" is not included then "axis of capture point"
>>    is not used.
>
>     That much is clear.
>
>> Is this the desired behaviour?
>>
>> With regards to the *** above, an axis (line) travels in two directions.
>
>     Quite correct.
>
>> I wonder if it is beneficial to specify that the axis of capture point
>> must lie between the capture area and the point of capture.
>
>     You mean Area of Capture, no doubt?
>
>> Might help avoid some confusion if someone defines a point behind the
>> capture point.
>
>     If someone can't handle that, we have worse problems!
>
>     Nonetheless, ISTM that one will need to calculate the intersection
> of that line with the Area of Capture (unless the Axis of Capture Point
> is defined to be that intersection already). This introduces rounding
> errors which could possibly be significant.
>
>> I'm also wondering if it is better to call this "line of capture" or
>> "optical axis" or similar? Mathematically speaking what we're defining
>> by two points is a line or optically speaking its an optical axis.
>
>     It might indeed be easier to understand (though I must admit the
> _value_ is a single XYZ point)...
>
> --
> John Leslie<john@jlc.net>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From Mark.Duckworth@polycom.com  Tue Jul  3 12:36:13 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 9B3E511E81DA for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 12:36:13 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.413
X-Spam-Level: 
X-Spam-Status: No, score=-6.413 tagged_above=-999 required=5 tests=[AWL=0.186,  BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id rZ-vBUlbbTz2 for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 12:36:13 -0700 (PDT)
Received: from crpehubprd02.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id EE20611E81B0 for <clue@ietf.org>; Tue,  3 Jul 2012 12:36:12 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::ad68:5a0:c919:66b6]) by crpehubprd02.polycom.com ([fe80::5efe:10.236.0.154%12]) with mapi; Tue, 3 Jul 2012 12:36:20 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Tue, 3 Jul 2012 12:36:19 -0700
Thread-Topic: [clue] Is there anything else to change in the framework right now?
Thread-Index: Ac1ZRQw7boqWoOY5SJuLwoFoDjPESAADbWJg
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A6102FE143875@CRPMBOXPRD01.polycom.com>
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE0360D2@CRPMBOXPRD01.polycom.com> <4FF3320F.5010809@alum.mit.edu>
In-Reply-To: <4FF3320F.5010809@alum.mit.edu>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] Is there anything else to change in the framework right now?
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 03 Jul 2012 19:36:13 -0000

Hi Paul,

You are correct about the scale, but the origin is not specified by an attr=
ibute.  I think that was the point of the clarification, which Roni pointed=
 out some time ago but I forgot to add it in the previous version.

Mark

> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
> Paul Kyzivat
> Sent: Tuesday, July 03, 2012 1:55 PM
> To: clue@ietf.org
> Subject: Re: [clue] Is there anything else to change in the framework rig=
ht
> now?
>=20
> On 7/3/12 10:47 AM, Duckworth, Mark wrote:
>=20
> > 4. Clarify that the provider must use the same coordinate system with
> > same scale and origin for all coordinates within the same capture
> > scene.
>=20
> This is inescapable if the coordinate system scale and origin are only
> specifiable as attributes of the capture scene, because there is no way t=
o
> violate this.
>=20
> 	Thanks,
> 	Paul
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue

From pkyzivat@alum.mit.edu  Tue Jul  3 13:29:40 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 3CB5911E80F1 for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 13:29:40 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.231
X-Spam-Level: 
X-Spam-Status: No, score=-2.231 tagged_above=-999 required=5 tests=[AWL=0.368,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 5Ecfc59VPOY7 for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 13:29:39 -0700 (PDT)
Received: from qmta05.westchester.pa.mail.comcast.net (qmta05.westchester.pa.mail.comcast.net [76.96.62.48]) by ietfa.amsl.com (Postfix) with ESMTP id 9893111E80A2 for <clue@ietf.org>; Tue,  3 Jul 2012 13:29:39 -0700 (PDT)
Received: from omta13.westchester.pa.mail.comcast.net ([76.96.62.52]) by qmta05.westchester.pa.mail.comcast.net with comcast id Vrpd1j00617dt5G55wVqPT; Tue, 03 Jul 2012 20:29:50 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta13.westchester.pa.mail.comcast.net with comcast id VwVv1j00A3ZTu2S3ZwVvp3; Tue, 03 Jul 2012 20:29:55 +0000
Message-ID: <4FF3563B.4020302@alum.mit.edu>
Date: Tue, 03 Jul 2012 16:29:47 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE0360D2@CRPMBOXPRD01.polycom.com> <4FF3320F.5010809@alum.mit.edu> <44C6B6B2D0CF424AA90B6055548D7A6102FE143875@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A6102FE143875@CRPMBOXPRD01.polycom.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Is there anything else to change in the framework right now?
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 03 Jul 2012 20:29:40 -0000

On 7/3/12 3:36 PM, Duckworth, Mark wrote:
> Hi Paul,
>
> You are correct about the scale, but the origin is not specified by an attribute.  I think that was the point of the clarification, which Roni pointed out some time ago but I forgot to add it in the previous version.

Then lets make sure that the origin is also an attribute of the scene.

	Thanks,
	Paul

> Mark
>
>> -----Original Message-----
>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
>> Paul Kyzivat
>> Sent: Tuesday, July 03, 2012 1:55 PM
>> To: clue@ietf.org
>> Subject: Re: [clue] Is there anything else to change in the framework right
>> now?
>>
>> On 7/3/12 10:47 AM, Duckworth, Mark wrote:
>>
>>> 4. Clarify that the provider must use the same coordinate system with
>>> same scale and origin for all coordinates within the same capture
>>> scene.
>>
>> This is inescapable if the coordinate system scale and origin are only
>> specifiable as attributes of the capture scene, because there is no way to
>> violate this.
>>
>> 	Thanks,
>> 	Paul
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From Mark.Duckworth@polycom.com  Tue Jul  3 13:35:00 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id B62D721F86CA for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 13:35:00 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.436
X-Spam-Level: 
X-Spam-Status: No, score=-6.436 tagged_above=-999 required=5 tests=[AWL=0.163,  BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id SC4+kEFLX28u for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 13:35:00 -0700 (PDT)
Received: from crpehubprd02.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id 381AF21F864A for <clue@ietf.org>; Tue,  3 Jul 2012 13:35:00 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::ad68:5a0:c919:66b6]) by crpehubprd02.polycom.com ([fe80::5efe:10.236.0.154%12]) with mapi; Tue, 3 Jul 2012 13:35:08 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Tue, 3 Jul 2012 13:35:06 -0700
Thread-Topic: origin attribute?
Thread-Index: Ac1ZW0Ph+TqO4V2OQ0alZ3+oC3hO1Q==
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A6102FE1438B6@CRPMBOXPRD01.polycom.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: [clue] origin attribute?
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 03 Jul 2012 20:35:00 -0000

Hi Paul,
I thought the group had this conversation before, with the conclusion that =
we do not want to have the provider try to indicate anything about the orig=
in of the coordinate system.  I don't know how it is possible to specify an=
 origin as an attribute.  Do you have a suggestion?
Mark

> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
> Paul Kyzivat
> Sent: Tuesday, July 03, 2012 4:30 PM
> To: clue@ietf.org
> Subject: Re: [clue] Is there anything else to change in the framework rig=
ht
> now?
>=20
> On 7/3/12 3:36 PM, Duckworth, Mark wrote:
> > Hi Paul,
> >
> > You are correct about the scale, but the origin is not specified by an
> attribute.  I think that was the point of the clarification, which Roni p=
ointed
> out some time ago but I forgot to add it in the previous version.
>=20
> Then lets make sure that the origin is also an attribute of the scene.
>=20
> 	Thanks,
> 	Paul
>=20
> > Mark
> >
> >> -----Original Message-----
> >> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf
> >> Of Paul Kyzivat
> >> Sent: Tuesday, July 03, 2012 1:55 PM
> >> To: clue@ietf.org
> >> Subject: Re: [clue] Is there anything else to change in the framework
> >> right now?
> >>
> >> On 7/3/12 10:47 AM, Duckworth, Mark wrote:
> >>
> >>> 4. Clarify that the provider must use the same coordinate system
> >>> with same scale and origin for all coordinates within the same
> >>> capture scene.
> >>
> >> This is inescapable if the coordinate system scale and origin are
> >> only specifiable as attributes of the capture scene, because there is
> >> no way to violate this.
> >>
> >> 	Thanks,
> >> 	Paul
> >> _______________________________________________
> >> clue mailing list
> >> clue@ietf.org
> >> https://www.ietf.org/mailman/listinfo/clue
> > _______________________________________________
> > clue mailing list
> > clue@ietf.org
> > https://www.ietf.org/mailman/listinfo/clue
> >
>=20
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue

From pkyzivat@alum.mit.edu  Tue Jul  3 13:58:28 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id DC89B21F870A for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 13:58:28 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.254
X-Spam-Level: 
X-Spam-Status: No, score=-2.254 tagged_above=-999 required=5 tests=[AWL=0.345,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id HqlvePW1iood for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 13:58:28 -0700 (PDT)
Received: from qmta10.westchester.pa.mail.comcast.net (qmta10.westchester.pa.mail.comcast.net [76.96.62.17]) by ietfa.amsl.com (Postfix) with ESMTP id C0F4E21F8705 for <clue@ietf.org>; Tue,  3 Jul 2012 13:58:27 -0700 (PDT)
Received: from omta04.westchester.pa.mail.comcast.net ([76.96.62.35]) by qmta10.westchester.pa.mail.comcast.net with comcast id Vwr41j0020ldTLk5Awyet4; Tue, 03 Jul 2012 20:58:38 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta04.westchester.pa.mail.comcast.net with comcast id Vwyb1j00J3ZTu2S3QwybPo; Tue, 03 Jul 2012 20:58:35 +0000
Message-ID: <4FF35CFB.5000702@alum.mit.edu>
Date: Tue, 03 Jul 2012 16:58:35 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE1438B6@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A6102FE1438B6@CRPMBOXPRD01.polycom.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] origin attribute?
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 03 Jul 2012 20:58:29 -0000

On 7/3/12 4:35 PM, Duckworth, Mark wrote:
> Hi Paul,
> I thought the group had this conversation before, with the conclusion that we do not want to have the provider try to indicate anything about the origin of the coordinate system.  I don't know how it is possible to specify an origin as an attribute.  Do you have a suggestion?

Hmm. OK - I guess you are right that we had this.
The scene has a single coordinate system. By a reasonable definition the 
origin is (0,0,0) and so need not be stated. All the coordinates used 
within the scene are relative to that. But the effect is the same.

But it doesn't hurt to emphasize that all coordinates are with respect 
to a single coordinate system associated with the scene. (And unrelated 
to coordinates in any other scene.)

	Thanks,
	Paul

> Mark
>
>> -----Original Message-----
>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
>> Paul Kyzivat
>> Sent: Tuesday, July 03, 2012 4:30 PM
>> To: clue@ietf.org
>> Subject: Re: [clue] Is there anything else to change in the framework right
>> now?
>>
>> On 7/3/12 3:36 PM, Duckworth, Mark wrote:
>>> Hi Paul,
>>>
>>> You are correct about the scale, but the origin is not specified by an
>> attribute.  I think that was the point of the clarification, which Roni pointed
>> out some time ago but I forgot to add it in the previous version.
>>
>> Then lets make sure that the origin is also an attribute of the scene.
>>
>> 	Thanks,
>> 	Paul
>>
>>> Mark
>>>
>>>> -----Original Message-----
>>>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf
>>>> Of Paul Kyzivat
>>>> Sent: Tuesday, July 03, 2012 1:55 PM
>>>> To: clue@ietf.org
>>>> Subject: Re: [clue] Is there anything else to change in the framework
>>>> right now?
>>>>
>>>> On 7/3/12 10:47 AM, Duckworth, Mark wrote:
>>>>
>>>>> 4. Clarify that the provider must use the same coordinate system
>>>>> with same scale and origin for all coordinates within the same
>>>>> capture scene.
>>>>
>>>> This is inescapable if the coordinate system scale and origin are
>>>> only specifiable as attributes of the capture scene, because there is
>>>> no way to violate this.
>>>>
>>>> 	Thanks,
>>>> 	Paul
>>>> _______________________________________________
>>>> clue mailing list
>>>> clue@ietf.org
>>>> https://www.ietf.org/mailman/listinfo/clue
>>> _______________________________________________
>>> clue mailing list
>>> clue@ietf.org
>>> https://www.ietf.org/mailman/listinfo/clue
>>>
>>
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From john@jlc.net  Tue Jul  3 17:34:28 2012
Return-Path: <john@jlc.net>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 24FCB11E80E7 for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 17:34:28 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -106.562
X-Spam-Level: 
X-Spam-Status: No, score=-106.562 tagged_above=-999 required=5 tests=[AWL=0.037, BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 4DAue2m76utB for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 17:34:27 -0700 (PDT)
Received: from mailhost.jlc.net (mailhost.jlc.net [199.201.159.4]) by ietfa.amsl.com (Postfix) with ESMTP id 8EE3211E80D9 for <clue@ietf.org>; Tue,  3 Jul 2012 17:34:27 -0700 (PDT)
Received: by mailhost.jlc.net (Postfix, from userid 104) id EA9DF33C2E; Tue,  3 Jul 2012 20:34:36 -0400 (EDT)
Date: Tue, 3 Jul 2012 20:34:36 -0400
From: John Leslie <john@jlc.net>
To: Paul Kyzivat <pkyzivat@alum.mit.edu>
Message-ID: <20120704003436.GB63837@verdi>
References: <CC17D4C0.889DC%stewe@stewe.org> <4FF295CE.2070903@nteczone.com> <20120703175054.GA63837@verdi> <4FF33C9C.3020503@alum.mit.edu>
Mime-Version: 1.0
Content-Type: text/plain; charset=us-ascii
Content-Disposition: inline
In-Reply-To: <4FF33C9C.3020503@alum.mit.edu>
User-Agent: Mutt/1.4.1i
Cc: clue@ietf.org
Subject: Re: [clue] Concensus call: Text for "Axis of Capture"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 04 Jul 2012 00:34:28 -0000

Paul Kyzivat <pkyzivat@alum.mit.edu> wrote:
> On 7/3/12 1:50 PM, John Leslie wrote:
>>Christian Groves<Christian.Groves@nteczone.com>  wrote:
>>>
>>>I'm getting confused.... my understanding is the following:
>>>...
>>
>> I went back to the text of draft-ietf-clue-framework-05, section 6.1.1:
>>]...
>>] Even if the provider specifies an
>>] area of capture attribute, it does not need to specify the point of
>>] capture.
>>
>> That last sentence is enough to confuse anybody, IMHO. :^(
> 
> What is confusing?

   "does not need"

   (It's hard to come up with a fully legitimate case where the point of
capture could reasonably be omitted. Until you do, this sentence only
confuses the reader.)

>> It's certainly possible that the provider would fail to include Point
>> of Capture because s/he's providing a processed piece, possibly stiched
>> together from parts of different cameras. (I don't consider that nice
>> either!)

   (That's my "fully legitimate" case...)

> Again, without a point of capture, how do you know the orientation of 
> the display?

   You don't. (But someone could look at it and guess. ;^)

>>... I wonder why
>> we don't specify that the Axis of Capture Point is a point within the
>> plane of the Area of Capture (when possible).
> 
> I suppose it should always be possible. But by requiring it you open up 
> issues when rounding errors cause it to be "not quite" in the plane. We 
> don't want to have errors just because people use differing precision 
> for their arithmetic.

   The rounding error is "nicer" here than different rounding by the
receivers. (Besides, I did say "if possible"...)

--
John Leslie <john@jlc.net>

From Christian.Groves@nteczone.com  Tue Jul  3 18:49:25 2012
Return-Path: <Christian.Groves@nteczone.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id E4CC111E80D9 for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 18:49:25 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.524
X-Spam-Level: 
X-Spam-Status: No, score=-2.524 tagged_above=-999 required=5 tests=[AWL=0.075,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 2y3L2JOeQoRR for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 18:49:25 -0700 (PDT)
Received: from ipmail06.adl6.internode.on.net (ipmail06.adl6.internode.on.net [IPv6:2001:44b8:8060:ff02:300:1:6:6]) by ietfa.amsl.com (Postfix) with ESMTP id 1765411E80AE for <clue@ietf.org>; Tue,  3 Jul 2012 18:49:23 -0700 (PDT)
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: ApMBAEyg80920ZWs/2dsb2JhbAANOLo1AQEBAwE4DwwlARALGAkWDwkDAgECAUUGDQEFAgEBiAKrIo9IizeGNwOoKQ
Received: from ppp118-209-149-172.lns20.mel6.internode.on.net (HELO [127.0.0.1]) ([118.209.149.172]) by ipmail06.adl6.internode.on.net with ESMTP; 04 Jul 2012 11:19:31 +0930
Message-ID: <4FF3A126.3060707@nteczone.com>
Date: Wed, 04 Jul 2012 11:49:26 +1000
From: Christian Groves <Christian.Groves@nteczone.com>
User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:13.0) Gecko/20120614 Thunderbird/13.0.1
MIME-Version: 1.0
To: John Leslie <john@jlc.net>
References: <CC17D4C0.889DC%stewe@stewe.org> <4FF295CE.2070903@nteczone.com> <20120703175054.GA63837@verdi>
In-Reply-To: <20120703175054.GA63837@verdi>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Cc: clue@ietf.org
Subject: Re: [clue] Concensus call: Text for "Axis of Capture"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 04 Jul 2012 01:49:26 -0000

Hello John,

Please see my responses below marked [CNG].

Regards, Christian

On 4/07/2012 3:50 AM, John Leslie wrote:
> Christian Groves <Christian.Groves@nteczone.com> wrote:
>> I'm getting confused.... my understanding is the following:
>>
>> - If the "point of capture" is included and the "axis of capture point"
>>    is not included then the axis is assumed to be perpendicular to the
>>    centre of the capture area.
>     That's enough to confuse me!
[CNG] Good to know I'm in company :-).
>
>     I went back to the text of draft-ietf-clue-framework-05, section 6.1.1:
> ]...
> ] Point of Capture: {(X, Y, Z)} A field with a single Cartesian (X, Y,
> ] Z) point value which describes the spatial location, virtual or
> ] physical, of the capturing device (such as camera).
> ]
> ] When the Point of Capture attribute is specified, it must include X,
> ] Y and Z coordinates.  If the point of capture is not specified, it
> ] means the consumer should not assume anything about the spatial
> ] location of the capturing device.  Even if the provider specifies an
> ] area of capture attribute, it does not need to specify the point of
> ] capture.
>
>     That last sentence is enough to confuse anybody, IMHO. :^(
>
>     But I don't see how you're entitled to assume "perpendicular" to the
> plane of the Area of Capture. IMHO, failure to include Point of Capture
> is distinctly not-nice, and leaves you no good way to associate pixel
> positions with physical positions.
[CNG] I was trying to clarify what Roni was getting at in his original 
reply on this thread where he mentioned this perpendicular aspect. 
Previous to this discussion there was no concept of a second point to 
define an "axis of capture". Therefore there must have been an 
assumption about the axis...

>
>     It's certainly possible that the provider would fail to include Point
> of Capture because s/he's providing a processed piece, possibly stiched
> together from parts of different cameras. (I don't consider that nice
> either!)
>
>> - if the "point of capture" is included and the "axis of capture point"
>>    is included it describes a position in space of a second point on the
>>    axis of capture of the capturing device;***
>     Refer to the proposed text:
> ]
> ] Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian
> ] (X, Y, Z) point value (virtual or physical) which describes a position
> ] in space of a second point on the axis of capture of the capturing
> ] device; the first point being the Point of Capture (see above).
> ]
> ] The axis of capture point MUST NOT be specified if the Capture Point
> ] is not present for this capture device.
> ]
> ] When the Axis of Capture Point attribute is specified, it must include X,
> ] Y and Z coordinates.  If the Axis of Capture point is not specified, it
> ] means the consumer should not assume anything about the axis of
> ] Capture of the capturing device.
>
>     Your statement seems correct, though not 100% implied. I wonder why
> we don't specify that the Axis of Capture Point is a point within the
> plane of the Area of Capture (when possible).
[CNG] We could do that. I think that at least the axis of capture point 
should be in the direction of the capture point to the area of capture. 
The point could lie before or beyond the area of capture plane.
>
>> - If the "point of capture" is not included then "axis of capture point"
>>    is not used.
>     That much is clear.
>
>> Is this the desired behaviour?
>>
>> With regards to the *** above, an axis (line) travels in two directions.
>     Quite correct.
>
>> I wonder if it is beneficial to specify that the axis of capture point
>> must lie between the capture area and the point of capture.
>     You mean Area of Capture, no doubt?
[CNG] Yes, area of capture
>
>> Might help avoid some confusion if someone defines a point behind the
>> capture point.
>     If someone can't handle that, we have worse problems!
[CNG] I think you've been around on these lists long enough to know that 
it will be a problem for someone :-).

>
>     Nonetheless, ISTM that one will need to calculate the intersection
> of that line with the Area of Capture (unless the Axis of Capture Point
> is defined to be that intersection already). This introduces rounding
> errors which could possibly be significant.
>
>> I'm also wondering if it is better to call this "line of capture" or
>> "optical axis" or similar? Mathematically speaking what we're defining
>> by two points is a line or optically speaking its an optical axis.
>     It might indeed be easier to understand (though I must admit the
> _value_ is a single XYZ point)...
[CNG] WRT to single XYZ point I agree its inconsistent, however "Second 
point defining the optical axis" whilst precise is a little long winded.

>
> --
> John Leslie <john@jlc.net>
>



From christer.holmberg@ericsson.com  Tue Jul  3 23:37:54 2012
Return-Path: <christer.holmberg@ericsson.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 5E31421F86E1 for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 23:37:54 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.223
X-Spam-Level: 
X-Spam-Status: No, score=-6.223 tagged_above=-999 required=5 tests=[AWL=0.026,  BAYES_00=-2.599, HELO_EQ_SE=0.35, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id CadHz5Kuoo6s for <clue@ietfa.amsl.com>; Tue,  3 Jul 2012 23:37:53 -0700 (PDT)
Received: from mailgw2.ericsson.se (mailgw2.ericsson.se [193.180.251.37]) by ietfa.amsl.com (Postfix) with ESMTP id 360FB21F854B for <clue@ietf.org>; Tue,  3 Jul 2012 23:37:52 -0700 (PDT)
X-AuditID: c1b4fb25-b7fc16d000005db2-72-4ff3e4cac299
Received: from esessmw0237.eemea.ericsson.se (Unknown_Domain [153.88.253.125]) by mailgw2.ericsson.se (Symantec Mail Security) with SMTP id 63.1A.23986.AC4E3FF4; Wed,  4 Jul 2012 08:38:02 +0200 (CEST)
Received: from ESESSCMS0356.eemea.ericsson.se ([169.254.1.237]) by esessmw0237.eemea.ericsson.se ([153.88.115.90]) with mapi; Wed, 4 Jul 2012 08:38:01 +0200
From: Christer Holmberg <christer.holmberg@ericsson.com>
To: "Duckworth, Mark" <Mark.Duckworth@polycom.com>, "clue@ietf.org" <clue@ietf.org>
Date: Wed, 4 Jul 2012 08:38:01 +0200
Thread-Topic: [clue] Framework scene description attribute update
Thread-Index: Ac1YpgdkCboiOtirR+WbcCXCfpZJNQAd7ijwACQ9ASA=
Message-ID: <7F2072F1E0DE894DA4B517B93C6A05853405AF417B@ESESSCMS0356.eemea.ericsson.se>
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F38@CRPMBOXPRD01.polycom.com> <4FF210B4.2040809@alum.mit.edu> <44C6B6B2D0CF424AA90B6055548D7A6102FE035F86@CRPMBOXPRD01.polycom.com> <4FF22746.2090909@alum.mit.edu> <44C6B6B2D0CF424AA90B6055548D7A6102FE03605E@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A6102FE03605E@CRPMBOXPRD01.polycom.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
X-Brightmail-Tracker: H4sIAAAAAAAAA+NgFjrNLMWRmVeSWpSXmKPExsUyM+Jvre6pJ5/9Dd7/F7LYf+oys8W6I0+Z HZg8liz5yeTx4oFSAFMUl01Kak5mWWqRvl0CV8bvF5fYCq6qVWxYdZilgfGxXBcjJ4eEgInE 8Qs/mSFsMYkL99azdTFycQgJnGKU+L2vkwnCWcAo0XGijb2LkYODTcBCovufNkiDiECoxOqZ m1hAbBYBFYlTh66CDRIWcJBYt2I/C0SNo0RDy3RGCNtKYvm6bSwgY3gFwiVuLiuHGL+USWL5 77+sIDWcAkESz++dA5vDCHTQ91NrmEBsZgFxiVtP5jNBHCogsWTPeaijRSVePv7HClEvKnGn fT0jRL2exI2pU9ggbG2JZQtfg9XzCghKnJz5hGUCo+gsJGNnIWmZhaRlFpKWBYwsqxiFcxMz c9LLjfRSizKTi4vz8/SKUzcxAiPk4JbfqjsY75wTOcQozcGiJM5rvXWPv5BAemJJanZqakFq UXxRaU5q8SFGJg5OqQbG6vhreT9mV3vMNvyQriO73VPSK1G8u2tFvLL97NUpUn+Mm7pkVs7I OafBPuXxIYH4b0Z8njXRBunLg3Zv3J1WYlbzsXX52rnuVbzbA3V+8cUaiMgZT6zICOpZfX3x p0d7TR7ub3XbvG2++K6dHTxNv6yrVboZvtesPLpphtuza1IxRlLFCfZKLMUZiYZazEXFiQB/ 5XYEXgIAAA==
Subject: Re: [clue] Framework scene description attribute update
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 04 Jul 2012 06:37:54 -0000

Hi,

Are the following sentences really needed?

     "If there is more than one string in the list, then each string in the=
 list should contain the
      same description, but in a different language."

    "This attribute can contain text in any number of languages."


In addition, I would suggest to modify:

    "A provider that advertises multiple capture scenes may use different d=
escriptions to
   differentiate between them."

...to:

   "A provider that adertises multiple capture scenes can provide descripti=
ons for each
   of them"

Regards,

Christer


-----Original Message-----
From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Duc=
kworth, Mark
Sent: 3. hein=E4kuuta 2012 16:20
To: clue@ietf.org
Subject: Re: [clue] Framework scene description attribute update

Okay, how about this text for the scene description attribute:

   Description attribute - list of {<description text>, <language tag>}

   The optional description attribute is a list of human readable text
   strings which describe the capture scene.  If there is more than one
   string in the list, then each string in the list should contain the
   same description, but in a different language.  A provider that
   advertises multiple capture scenes may use different descriptions to
   differentiate between them.  This attribute can contain text in any
   number of languages.

   The language tag identifies the language of the corresponding
   description text.  The possible values for a language tag are the
   values of the 'Subtag' column for the "Type: language" entries in the
   "Language Subtag Registry" at [IANA-Lan] originally defined in
   [RFC5646].  A particular language tag value MUST NOT be used more
   than once in the description attribute list.

Mark

> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf=20
> Of Paul Kyzivat
> Sent: Monday, July 02, 2012 6:57 PM
> To: clue@ietf.org
> Subject: Re: [clue] Framework scene description attribute update
>=20
> On 7/2/12 6:23 PM, Duckworth, Mark wrote:
> > Hi Paul,
> > I thought of your way too, which is also fine with me.  I can reword=20
> > the text
> to do it that way if people prefer.
> > Mark
>=20
> In practice I think we want to end up with what Espen commented.
> But you have to get down into the xml to describe that. The model is=20
> too high level to talk about it that way. So what I said, or anything=20
> else that can clearly map to what Espen said works for me.
>=20
>  Thanks,
>  Paul
>=20
> >> -----Original Message-----
> >> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On=20
> >> Behalf Of Paul Kyzivat
> >> Sent: Monday, July 02, 2012 5:21 PM
> >> To: clue@ietf.org
> >> Subject: Re: [clue] Framework scene description attribute update
> >>
> >> Mark,
> >>
> >> So you are proposing one list of descriptions, and a separate but=20
> >> parallel list of languages?
> >>
> >> That seems clumsy, unnatural, and error prone. Why not a list of=20
> >> pairs of (description, language)? And I'd be inclined to specify=20
> >> that a particular language value MUST NOT be specified more than once.
> >>
> >>  Thanks,
> >>  Paul
> >>
> >> On 7/2/12 5:12 PM, Duckworth, Mark wrote:
> >>> Based on the decision at the interim meeting to support multiple=20
> >>> description strings, each in a different language, here is my=20
> >>> proposed updated text for the framework document. I also addressed=20
> >>> Christians comments=20
> >>> http://www.ietf.org/mail-archive/web/clue/current/msg01522.html
> >>>
> >>> Please review this change.
> >>>
> >>> Description attribute
> >>>
> >>> The optional description attribute is a list of human readable=20
> >>> text strings which describes the capture scene. If there is more=20
> >>> than one string in the list, then each string in the list should=20
> >>> contain the same description, but in a different language. A=20
> >>> provider that advertises multiple capture scenes may use different=20
> >>> descriptions to differentiate between them. This attribute can=20
> >>> contain text in any number of languages.
> >>>
> >>> Description Language attribute
> >>>
> >>> This attribute is a list of language tags, to identify the=20
> >>> language of the corresponding description attribute text. The=20
> >>> number of language tags in this list must be the same as the=20
> >>> number of strings in the description list. The possible values for=20
> >>> a language tag are the values of the 'Subtag' column for the=20
> >>> "Type: language" entries in the "Language Subtag Registry" at=20
> >>> [IANA-Lan] originally defined in [RFC5646].
> >>>
> >>> Regards,
> >>>
> >>> Mark
_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue=

From Mark.Duckworth@polycom.com  Thu Jul  5 05:52:54 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 1F4D621F8512 for <clue@ietfa.amsl.com>; Thu,  5 Jul 2012 05:52:54 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.454
X-Spam-Level: 
X-Spam-Status: No, score=-6.454 tagged_above=-999 required=5 tests=[AWL=0.145,  BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id aXL0ygDg+8Y6 for <clue@ietfa.amsl.com>; Thu,  5 Jul 2012 05:52:53 -0700 (PDT)
Received: from Crpehubprd01.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id 6A85D21F850B for <clue@ietf.org>; Thu,  5 Jul 2012 05:52:53 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::ad68:5a0:c919:66b6]) by Crpehubprd01.polycom.com ([fe80::5efe:10.236.0.158%14]) with mapi; Thu, 5 Jul 2012 05:53:05 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Thu, 5 Jul 2012 05:53:04 -0700
Thread-Topic: [clue] Framework scene description attribute update
Thread-Index: Ac1YpgdkCboiOtirR+WbcCXCfpZJNQAd7ijwACQ9ASAAP3/MYA==
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A6102FE1439A9@CRPMBOXPRD01.polycom.com>
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F38@CRPMBOXPRD01.polycom.com> <4FF210B4.2040809@alum.mit.edu> <44C6B6B2D0CF424AA90B6055548D7A6102FE035F86@CRPMBOXPRD01.polycom.com> <4FF22746.2090909@alum.mit.edu> <44C6B6B2D0CF424AA90B6055548D7A6102FE03605E@CRPMBOXPRD01.polycom.com> <7F2072F1E0DE894DA4B517B93C6A05853405AF417B@ESESSCMS0356.eemea.ericsson.se>
In-Reply-To: <7F2072F1E0DE894DA4B517B93C6A05853405AF417B@ESESSCMS0356.eemea.ericsson.se>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] Framework scene description attribute update
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 05 Jul 2012 12:52:54 -0000

Markd> comments below.

> -----Original Message-----
> From: Christer Holmberg [mailto:christer.holmberg@ericsson.com]
> Sent: Wednesday, July 04, 2012 2:38 AM
> To: Duckworth, Mark; clue@ietf.org
> Subject: RE: [clue] Framework scene description attribute update
>=20
>=20
> Hi,
>=20
> Are the following sentences really needed?
>=20
>      "If there is more than one string in the list, then each string in t=
he list
> should contain the
>       same description, but in a different language."
>=20
>     "This attribute can contain text in any number of languages."

Markd> I find those sentences useful.  But maybe not strictly necessary.

>=20
> In addition, I would suggest to modify:
>=20
>     "A provider that advertises multiple capture scenes may use different
> descriptions to
>    differentiate between them."
>=20
> ...to:
>=20
>    "A provider that adertises multiple capture scenes can provide descrip=
tions
> for each
>    of them"

Markd> That is fine with me.

> Regards,
>=20
> Christer
>=20
>=20
> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
> Duckworth, Mark
> Sent: 3. hein=E4kuuta 2012 16:20
> To: clue@ietf.org
> Subject: Re: [clue] Framework scene description attribute update
>=20
> Okay, how about this text for the scene description attribute:
>=20
>    Description attribute - list of {<description text>, <language tag>}
>=20
>    The optional description attribute is a list of human readable text
>    strings which describe the capture scene.  If there is more than one
>    string in the list, then each string in the list should contain the
>    same description, but in a different language.  A provider that
>    advertises multiple capture scenes may use different descriptions to
>    differentiate between them.  This attribute can contain text in any
>    number of languages.
>=20
>    The language tag identifies the language of the corresponding
>    description text.  The possible values for a language tag are the
>    values of the 'Subtag' column for the "Type: language" entries in the
>    "Language Subtag Registry" at [IANA-Lan] originally defined in
>    [RFC5646].  A particular language tag value MUST NOT be used more
>    than once in the description attribute list.
>=20
> Mark
>=20
> > -----Original Message-----
> > From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf
> > Of Paul Kyzivat
> > Sent: Monday, July 02, 2012 6:57 PM
> > To: clue@ietf.org
> > Subject: Re: [clue] Framework scene description attribute update
> >
> > On 7/2/12 6:23 PM, Duckworth, Mark wrote:
> > > Hi Paul,
> > > I thought of your way too, which is also fine with me.  I can reword
> > > the text
> > to do it that way if people prefer.
> > > Mark
> >
> > In practice I think we want to end up with what Espen commented.
> > But you have to get down into the xml to describe that. The model is
> > too high level to talk about it that way. So what I said, or anything
> > else that can clearly map to what Espen said works for me.
> >
> >  Thanks,
> >  Paul
> >
> > >> -----Original Message-----
> > >> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On
> > >> Behalf Of Paul Kyzivat
> > >> Sent: Monday, July 02, 2012 5:21 PM
> > >> To: clue@ietf.org
> > >> Subject: Re: [clue] Framework scene description attribute update
> > >>
> > >> Mark,
> > >>
> > >> So you are proposing one list of descriptions, and a separate but
> > >> parallel list of languages?
> > >>
> > >> That seems clumsy, unnatural, and error prone. Why not a list of
> > >> pairs of (description, language)? And I'd be inclined to specify
> > >> that a particular language value MUST NOT be specified more than onc=
e.
> > >>
> > >>  Thanks,
> > >>  Paul
> > >>
> > >> On 7/2/12 5:12 PM, Duckworth, Mark wrote:
> > >>> Based on the decision at the interim meeting to support multiple
> > >>> description strings, each in a different language, here is my
> > >>> proposed updated text for the framework document. I also addressed
> > >>> Christians comments
> > >>> http://www.ietf.org/mail-archive/web/clue/current/msg01522.html
> > >>>
> > >>> Please review this change.
> > >>>
> > >>> Description attribute
> > >>>
> > >>> The optional description attribute is a list of human readable
> > >>> text strings which describes the capture scene. If there is more
> > >>> than one string in the list, then each string in the list should
> > >>> contain the same description, but in a different language. A
> > >>> provider that advertises multiple capture scenes may use different
> > >>> descriptions to differentiate between them. This attribute can
> > >>> contain text in any number of languages.
> > >>>
> > >>> Description Language attribute
> > >>>
> > >>> This attribute is a list of language tags, to identify the
> > >>> language of the corresponding description attribute text. The
> > >>> number of language tags in this list must be the same as the
> > >>> number of strings in the description list. The possible values for
> > >>> a language tag are the values of the 'Subtag' column for the
> > >>> "Type: language" entries in the "Language Subtag Registry" at
> > >>> [IANA-Lan] originally defined in [RFC5646].
> > >>>
> > >>> Regards,
> > >>>
> > >>> Mark
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue

From mary.ietf.barnes@gmail.com  Thu Jul  5 09:22:37 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 87C8821F86F5 for <clue@ietfa.amsl.com>; Thu,  5 Jul 2012 09:22:37 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -102.772
X-Spam-Level: 
X-Spam-Status: No, score=-102.772 tagged_above=-999 required=5 tests=[AWL=-0.840, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, SARE_HTML_USL_OBFU=1.666, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id mqE4DtGtrS31 for <clue@ietfa.amsl.com>; Thu,  5 Jul 2012 09:22:36 -0700 (PDT)
Received: from mail-yw0-f44.google.com (mail-yw0-f44.google.com [209.85.213.44]) by ietfa.amsl.com (Postfix) with ESMTP id 996F821F864B for <clue@ietf.org>; Thu,  5 Jul 2012 09:22:36 -0700 (PDT)
Received: by yhq56 with SMTP id 56so9987559yhq.31 for <clue@ietf.org>; Thu, 05 Jul 2012 09:22:50 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=UMCv/LTgcibG1vYtM3vnmOad6RQ5AJHZ5uqzfFlxxco=; b=cBWSvOsobesWyqp75ML/qFzRCmhErfLh4Pw0PjaJytxTBEpueMAeXciKZ4AeAvPvEB XMJjLQp1jXmLODTVDiVW3blJ3oYjKqYuzitA7GuXMZ5q4NBY1tCE9v9AuBxK6MeFLCno Pfa912phkhwIlchbqBQ/zk0Cxkk/YAsumyBTWL+1/fG6YX0L3nfK8q0opiI9oLqd3/5/ Dl4grJT39GMMmnPN64/Nx92V/0DCEKi8P0Az9GNz8YRTXoAULbYYfXat8nIwPMm8snmx UEAWZkp8Oxl7BqK/7vkeCCAVKKBf2iJjH5klJ6kom3ddDaIaukJTZyR5xuUjNEjwEx+I jAJQ==
MIME-Version: 1.0
Received: by 10.60.3.202 with SMTP id e10mr27651608oee.52.1341505370077; Thu, 05 Jul 2012 09:22:50 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Thu, 5 Jul 2012 09:22:50 -0700 (PDT)
In-Reply-To: <4FF35CFB.5000702@alum.mit.edu>
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE1438B6@CRPMBOXPRD01.polycom.com> <4FF35CFB.5000702@alum.mit.edu>
Date: Thu, 5 Jul 2012 11:22:50 -0500
Message-ID: <CAHBDyN5ZB1iELT3i3=sSxre+2vz30xmibW==m2MZ4Nb89TGkqQ@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: Paul Kyzivat <pkyzivat@alum.mit.edu>
Content-Type: multipart/alternative; boundary=e89a8ff1ce4c0c3c5104c4178fcb
Cc: clue@ietf.org
Subject: Re: [clue] origin attribute?
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 05 Jul 2012 16:22:37 -0000

--e89a8ff1ce4c0c3c5104c4178fcb
Content-Type: text/plain; charset=ISO-8859-1

Do you have a specific suggestion of where and what specific text needs to
be added?   I would assume you are suggesting there is a need to add some
additional text in section 5 somewhere, although I think it might be
redundant.

Mary.

On Tue, Jul 3, 2012 at 3:58 PM, Paul Kyzivat <pkyzivat@alum.mit.edu> wrote:

> On 7/3/12 4:35 PM, Duckworth, Mark wrote:
>
>> Hi Paul,
>>
>> I thought the group had this conversation before, with the conclusion
>> that we do not want to have the provider try to indicate anything about the
>> origin of the coordinate system.  I don't know how it is possible to
>> specify an origin as an attribute.  Do you have a suggestion?
>>
>
> Hmm. OK - I guess you are right that we had this.
> The scene has a single coordinate system. By a reasonable definition the
> origin is (0,0,0) and so need not be stated. All the coordinates used
> within the scene are relative to that. But the effect is the same.
>
> But it doesn't hurt to emphasize that all coordinates are with respect to
> a single coordinate system associated with the scene. (And unrelated to
> coordinates in any other scene.)
>
>
>         Thanks,
>         Paul
>
>  Mark
>>
>>  -----Original Message-----
>>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
>>> Paul Kyzivat
>>> Sent: Tuesday, July 03, 2012 4:30 PM
>>> To: clue@ietf.org
>>> Subject: Re: [clue] Is there anything else to change in the framework
>>> right
>>> now?
>>>
>>> On 7/3/12 3:36 PM, Duckworth, Mark wrote:
>>>
>>>> Hi Paul,
>>>>
>>>> You are correct about the scale, but the origin is not specified by an
>>>>
>>> attribute.  I think that was the point of the clarification, which Roni
>>> pointed
>>> out some time ago but I forgot to add it in the previous version.
>>>
>>> Then lets make sure that the origin is also an attribute of the scene.
>>>
>>>         Thanks,
>>>         Paul
>>>
>>>  Mark
>>>>
>>>>  -----Original Message-----
>>>>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf
>>>>> Of Paul Kyzivat
>>>>> Sent: Tuesday, July 03, 2012 1:55 PM
>>>>> To: clue@ietf.org
>>>>> Subject: Re: [clue] Is there anything else to change in the framework
>>>>> right now?
>>>>>
>>>>> On 7/3/12 10:47 AM, Duckworth, Mark wrote:
>>>>>
>>>>>  4. Clarify that the provider must use the same coordinate system
>>>>>> with same scale and origin for all coordinates within the same
>>>>>> capture scene.
>>>>>>
>>>>>
>>>>> This is inescapable if the coordinate system scale and origin are
>>>>> only specifiable as attributes of the capture scene, because there is
>>>>> no way to violate this.
>>>>>
>>>>>         Thanks,
>>>>>         Paul
>>>>> ______________________________**_________________
>>>>> clue mailing list
>>>>> clue@ietf.org
>>>>> https://www.ietf.org/mailman/**listinfo/clue<https://www.ietf.org/mailman/listinfo/clue>
>>>>>
>>>> ______________________________**_________________
>>>> clue mailing list
>>>> clue@ietf.org
>>>> https://www.ietf.org/mailman/**listinfo/clue<https://www.ietf.org/mailman/listinfo/clue>
>>>>
>>>>
>>> ______________________________**_________________
>>> clue mailing list
>>> clue@ietf.org
>>> https://www.ietf.org/mailman/**listinfo/clue<https://www.ietf.org/mailman/listinfo/clue>
>>>
>> ______________________________**_________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/**listinfo/clue<https://www.ietf.org/mailman/listinfo/clue>
>>
>>
> ______________________________**_________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/**listinfo/clue<https://www.ietf.org/mailman/listinfo/clue>
>

--e89a8ff1ce4c0c3c5104c4178fcb
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

Do you have a specific suggestion of where and what specific text needs to =
be added? =A0 I would assume you are suggesting there is a need to add some=
 additional text in section 5 somewhere, although I think it might be redun=
dant.<div>
<br><div>Mary.=A0</div><div><br><div class=3D"gmail_quote">On Tue, Jul 3, 2=
012 at 3:58 PM, Paul Kyzivat <span dir=3D"ltr">&lt;<a href=3D"mailto:pkyziv=
at@alum.mit.edu" target=3D"_blank">pkyzivat@alum.mit.edu</a>&gt;</span> wro=
te:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex"><div class=3D"im">On 7/3/12 4:35 PM, Duckwor=
th, Mark wrote:<br>
</div><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-l=
eft:1px #ccc solid;padding-left:1ex">
Hi Paul,<div class=3D"im"><br>
I thought the group had this conversation before, with the conclusion that =
we do not want to have the provider try to indicate anything about the orig=
in of the coordinate system. =A0I don&#39;t know how it is possible to spec=
ify an origin as an attribute. =A0Do you have a suggestion?<br>

</div></blockquote>
<br>
Hmm. OK - I guess you are right that we had this.<br>
The scene has a single coordinate system. By a reasonable definition the or=
igin is (0,0,0) and so need not be stated. All the coordinates used within =
the scene are relative to that. But the effect is the same.<br>
<br>
But it doesn&#39;t hurt to emphasize that all coordinates are with respect =
to a single coordinate system associated with the scene. (And unrelated to =
coordinates in any other scene.)<div class=3D"HOEnZb"><div class=3D"h5"><br=
>

<br>
=A0 =A0 =A0 =A0 Thanks,<br>
=A0 =A0 =A0 =A0 Paul<br>
<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">
Mark<br>
<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">
-----Original Message-----<br>
From: <a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank">clue-bounc=
es@ietf.org</a> [mailto:<a href=3D"mailto:clue-bounces@ietf.org" target=3D"=
_blank">clue-bounces@ietf.org</a>] On Behalf Of<br>
Paul Kyzivat<br>
Sent: Tuesday, July 03, 2012 4:30 PM<br>
To: <a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br=
>
Subject: Re: [clue] Is there anything else to change in the framework right=
<br>
now?<br>
<br>
On 7/3/12 3:36 PM, Duckworth, Mark wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">
Hi Paul,<br>
<br>
You are correct about the scale, but the origin is not specified by an<br>
</blockquote>
attribute. =A0I think that was the point of the clarification, which Roni p=
ointed<br>
out some time ago but I forgot to add it in the previous version.<br>
<br>
Then lets make sure that the origin is also an attribute of the scene.<br>
<br>
=A0 =A0 =A0 =A0 Thanks,<br>
=A0 =A0 =A0 =A0 Paul<br>
<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">
Mark<br>
<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">
-----Original Message-----<br>
From: <a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank">clue-bounc=
es@ietf.org</a> [mailto:<a href=3D"mailto:clue-bounces@ietf.org" target=3D"=
_blank">clue-bounces@ietf.org</a>] On Behalf<br>
Of Paul Kyzivat<br>
Sent: Tuesday, July 03, 2012 1:55 PM<br>
To: <a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br=
>
Subject: Re: [clue] Is there anything else to change in the framework<br>
right now?<br>
<br>
On 7/3/12 10:47 AM, Duckworth, Mark wrote:<br>
<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">
4. Clarify that the provider must use the same coordinate system<br>
with same scale and origin for all coordinates within the same<br>
capture scene.<br>
</blockquote>
<br>
This is inescapable if the coordinate system scale and origin are<br>
only specifiable as attributes of the capture scene, because there is<br>
no way to violate this.<br>
<br>
=A0 =A0 =A0 =A0 Thanks,<br>
=A0 =A0 =A0 =A0 Paul<br>
______________________________<u></u>_________________<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/<u></u>listinfo/clue</a><br>
</blockquote>
______________________________<u></u>_________________<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/<u></u>listinfo/clue</a><br>
<br>
</blockquote>
<br>
______________________________<u></u>_________________<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/<u></u>listinfo/clue</a><br>
</blockquote>
______________________________<u></u>_________________<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/<u></u>listinfo/clue</a><br>
<br>
</blockquote>
<br>
______________________________<u></u>_________________<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/<u></u>listinfo/clue</a><br>
</div></div></blockquote></div><br></div></div>

--e89a8ff1ce4c0c3c5104c4178fcb--

From pkyzivat@alum.mit.edu  Thu Jul  5 09:50:59 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id EBFEC21F86EA for <clue@ietfa.amsl.com>; Thu,  5 Jul 2012 09:50:58 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.277
X-Spam-Level: 
X-Spam-Status: No, score=-2.277 tagged_above=-999 required=5 tests=[AWL=0.322,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id CPBpae-PxC-l for <clue@ietfa.amsl.com>; Thu,  5 Jul 2012 09:50:58 -0700 (PDT)
Received: from qmta05.westchester.pa.mail.comcast.net (qmta05.westchester.pa.mail.comcast.net [76.96.62.48]) by ietfa.amsl.com (Postfix) with ESMTP id 070AF21F86C7 for <clue@ietf.org>; Thu,  5 Jul 2012 09:50:57 -0700 (PDT)
Received: from omta20.westchester.pa.mail.comcast.net ([76.96.62.71]) by qmta05.westchester.pa.mail.comcast.net with comcast id WawS1j0011YDfWL55grD3e; Thu, 05 Jul 2012 16:51:13 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta20.westchester.pa.mail.comcast.net with comcast id Wgr71j0023ZTu2S3ggr7mH; Thu, 05 Jul 2012 16:51:07 +0000
Message-ID: <4FF5C5FE.3010001@alum.mit.edu>
Date: Thu, 05 Jul 2012 12:51:10 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: Mary Barnes <mary.ietf.barnes@gmail.com>
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE1438B6@CRPMBOXPRD01.polycom.com> <4FF35CFB.5000702@alum.mit.edu> <CAHBDyN5ZB1iELT3i3=sSxre+2vz30xmibW==m2MZ4Nb89TGkqQ@mail.gmail.com>
In-Reply-To: <CAHBDyN5ZB1iELT3i3=sSxre+2vz30xmibW==m2MZ4Nb89TGkqQ@mail.gmail.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Cc: clue@ietf.org
Subject: Re: [clue] origin attribute?
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 05 Jul 2012 16:50:59 -0000

On 7/5/12 12:22 PM, Mary Barnes wrote:
> Do you have a specific suggestion of where and what specific text needs
> to be added?   I would assume you are suggesting there is a need to add
> some additional text in section 5 somewhere, although I think it might
> be redundant.

On the contrary - my first thought was that nothing need be said about 
this because it was all implicit and unavoidable. (The best way to avoid 
doing the wrong thing is to make it impossible.)

I was just acknowledging that if people would like to add some words 
about it that is ok too.

	Thanks,
	Paul

> Mary.
>
> On Tue, Jul 3, 2012 at 3:58 PM, Paul Kyzivat <pkyzivat@alum.mit.edu
> <mailto:pkyzivat@alum.mit.edu>> wrote:
>
>     On 7/3/12 4:35 PM, Duckworth, Mark wrote:
>
>         Hi Paul,
>
>         I thought the group had this conversation before, with the
>         conclusion that we do not want to have the provider try to
>         indicate anything about the origin of the coordinate system.  I
>         don't know how it is possible to specify an origin as an
>         attribute.  Do you have a suggestion?
>
>
>     Hmm. OK - I guess you are right that we had this.
>     The scene has a single coordinate system. By a reasonable definition
>     the origin is (0,0,0) and so need not be stated. All the coordinates
>     used within the scene are relative to that. But the effect is the same.
>
>     But it doesn't hurt to emphasize that all coordinates are with
>     respect to a single coordinate system associated with the scene.
>     (And unrelated to coordinates in any other scene.)
>
>
>              Thanks,
>              Paul
>
>         Mark
>
>             -----Original Message-----
>             From: clue-bounces@ietf.org <mailto:clue-bounces@ietf.org>
>             [mailto:clue-bounces@ietf.org
>             <mailto:clue-bounces@ietf.org>] On Behalf Of
>             Paul Kyzivat
>             Sent: Tuesday, July 03, 2012 4:30 PM
>             To: clue@ietf.org <mailto:clue@ietf.org>
>             Subject: Re: [clue] Is there anything else to change in the
>             framework right
>             now?
>
>             On 7/3/12 3:36 PM, Duckworth, Mark wrote:
>
>                 Hi Paul,
>
>                 You are correct about the scale, but the origin is not
>                 specified by an
>
>             attribute.  I think that was the point of the clarification,
>             which Roni pointed
>             out some time ago but I forgot to add it in the previous
>             version.
>
>             Then lets make sure that the origin is also an attribute of
>             the scene.
>
>                      Thanks,
>                      Paul
>
>                 Mark
>
>                     -----Original Message-----
>                     From: clue-bounces@ietf.org
>                     <mailto:clue-bounces@ietf.org>
>                     [mailto:clue-bounces@ietf.org
>                     <mailto:clue-bounces@ietf.org>] On Behalf
>                     Of Paul Kyzivat
>                     Sent: Tuesday, July 03, 2012 1:55 PM
>                     To: clue@ietf.org <mailto:clue@ietf.org>
>                     Subject: Re: [clue] Is there anything else to change
>                     in the framework
>                     right now?
>
>                     On 7/3/12 10:47 AM, Duckworth, Mark wrote:
>
>                         4. Clarify that the provider must use the same
>                         coordinate system
>                         with same scale and origin for all coordinates
>                         within the same
>                         capture scene.
>
>
>                     This is inescapable if the coordinate system scale
>                     and origin are
>                     only specifiable as attributes of the capture scene,
>                     because there is
>                     no way to violate this.
>
>                              Thanks,
>                              Paul
>                     _________________________________________________
>                     clue mailing list
>                     clue@ietf.org <mailto:clue@ietf.org>
>                     https://www.ietf.org/mailman/__listinfo/clue
>                     <https://www.ietf.org/mailman/listinfo/clue>
>
>                 _________________________________________________
>                 clue mailing list
>                 clue@ietf.org <mailto:clue@ietf.org>
>                 https://www.ietf.org/mailman/__listinfo/clue
>                 <https://www.ietf.org/mailman/listinfo/clue>
>
>
>             _________________________________________________
>             clue mailing list
>             clue@ietf.org <mailto:clue@ietf.org>
>             https://www.ietf.org/mailman/__listinfo/clue
>             <https://www.ietf.org/mailman/listinfo/clue>
>
>         _________________________________________________
>         clue mailing list
>         clue@ietf.org <mailto:clue@ietf.org>
>         https://www.ietf.org/mailman/__listinfo/clue
>         <https://www.ietf.org/mailman/listinfo/clue>
>
>
>     _________________________________________________
>     clue mailing list
>     clue@ietf.org <mailto:clue@ietf.org>
>     https://www.ietf.org/mailman/__listinfo/clue
>     <https://www.ietf.org/mailman/listinfo/clue>
>
>


From mary.ietf.barnes@gmail.com  Thu Jul  5 10:00:03 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id A39EF21F86D6 for <clue@ietfa.amsl.com>; Thu,  5 Jul 2012 10:00:03 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -102.747
X-Spam-Level: 
X-Spam-Status: No, score=-102.747 tagged_above=-999 required=5 tests=[AWL=-0.815, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, SARE_HTML_USL_OBFU=1.666, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id n6JiKvoaXIRE for <clue@ietfa.amsl.com>; Thu,  5 Jul 2012 10:00:02 -0700 (PDT)
Received: from mail-gg0-f172.google.com (mail-gg0-f172.google.com [209.85.161.172]) by ietfa.amsl.com (Postfix) with ESMTP id 7C4A321F8566 for <clue@ietf.org>; Thu,  5 Jul 2012 10:00:02 -0700 (PDT)
Received: by ggnc4 with SMTP id c4so8463349ggn.31 for <clue@ietf.org>; Thu, 05 Jul 2012 10:00:16 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=B/0kVtXJzmJjVOj80sjOSZlr7AXyP7T6WEQfCRk0G5U=; b=OPnzgxT051k8eSTCwJLlUhhnnkQvh4ct2gleU5wqjmQ2qlV1EPi8/KExrna9lbhTiH UK8j/gk/R3moiNafcYRhZA56ueo1f3njXWgLH6HJIMY49qDh4HFj2AgGdRREzlm3ITkx xv1i4KRQPLraSZARUJtRRaUet+zXHLm+AAKdx0yJmV8O+K7r0ANJY20HdLxNZvg22X1Y Uimr7D0ooou/RQRgUF9OEs/03Q68j5a6znQ2DrxFHhKqZC7i9gDZQ8LfzCjJblmQ3k09 R5GMcB7f0SDntlzcDGS88ShjTnduez5nhCQ6LzFrilCrhkwkZazw5+eSPvQ9LXwQ1UCq k1Pg==
MIME-Version: 1.0
Received: by 10.60.10.99 with SMTP id h3mr27495648oeb.72.1341507616050; Thu, 05 Jul 2012 10:00:16 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Thu, 5 Jul 2012 10:00:16 -0700 (PDT)
In-Reply-To: <4FF5C5FE.3010001@alum.mit.edu>
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE1438B6@CRPMBOXPRD01.polycom.com> <4FF35CFB.5000702@alum.mit.edu> <CAHBDyN5ZB1iELT3i3=sSxre+2vz30xmibW==m2MZ4Nb89TGkqQ@mail.gmail.com> <4FF5C5FE.3010001@alum.mit.edu>
Date: Thu, 5 Jul 2012 12:00:16 -0500
Message-ID: <CAHBDyN4ouOjJ6Q_6Yc9bn=g6nn-kc1g85G3uBgU447ht2MP48g@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: Paul Kyzivat <pkyzivat@alum.mit.edu>
Content-Type: multipart/alternative; boundary=e89a8fb1fbfaeb0f7a04c41814d2
Cc: clue@ietf.org
Subject: Re: [clue] origin attribute?
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 05 Jul 2012 17:00:03 -0000

--e89a8fb1fbfaeb0f7a04c41814d2
Content-Type: text/plain; charset=ISO-8859-1

I just re-read section 5 and I think it is sufficient.

On Thu, Jul 5, 2012 at 11:51 AM, Paul Kyzivat <pkyzivat@alum.mit.edu> wrote:

> On 7/5/12 12:22 PM, Mary Barnes wrote:
>
>> Do you have a specific suggestion of where and what specific text needs
>> to be added?   I would assume you are suggesting there is a need to add
>> some additional text in section 5 somewhere, although I think it might
>> be redundant.
>>
>
> On the contrary - my first thought was that nothing need be said about
> this because it was all implicit and unavoidable. (The best way to avoid
> doing the wrong thing is to make it impossible.)
>
> I was just acknowledging that if people would like to add some words about
> it that is ok too.
>
>         Thanks,
>         Paul
>
>  Mary.
>>
>> On Tue, Jul 3, 2012 at 3:58 PM, Paul Kyzivat <pkyzivat@alum.mit.edu
>> <mailto:pkyzivat@alum.mit.edu>**> wrote:
>>
>>     On 7/3/12 4:35 PM, Duckworth, Mark wrote:
>>
>>         Hi Paul,
>>
>>         I thought the group had this conversation before, with the
>>         conclusion that we do not want to have the provider try to
>>         indicate anything about the origin of the coordinate system.  I
>>         don't know how it is possible to specify an origin as an
>>         attribute.  Do you have a suggestion?
>>
>>
>>     Hmm. OK - I guess you are right that we had this.
>>     The scene has a single coordinate system. By a reasonable definition
>>     the origin is (0,0,0) and so need not be stated. All the coordinates
>>     used within the scene are relative to that. But the effect is the
>> same.
>>
>>     But it doesn't hurt to emphasize that all coordinates are with
>>     respect to a single coordinate system associated with the scene.
>>     (And unrelated to coordinates in any other scene.)
>>
>>
>>              Thanks,
>>              Paul
>>
>>         Mark
>>
>>             -----Original Message-----
>>             From: clue-bounces@ietf.org <mailto:clue-bounces@ietf.org>
>>             [mailto:clue-bounces@ietf.org
>>             <mailto:clue-bounces@ietf.org>**] On Behalf Of
>>             Paul Kyzivat
>>             Sent: Tuesday, July 03, 2012 4:30 PM
>>             To: clue@ietf.org <mailto:clue@ietf.org>
>>             Subject: Re: [clue] Is there anything else to change in the
>>             framework right
>>             now?
>>
>>             On 7/3/12 3:36 PM, Duckworth, Mark wrote:
>>
>>                 Hi Paul,
>>
>>                 You are correct about the scale, but the origin is not
>>                 specified by an
>>
>>             attribute.  I think that was the point of the clarification,
>>             which Roni pointed
>>             out some time ago but I forgot to add it in the previous
>>             version.
>>
>>             Then lets make sure that the origin is also an attribute of
>>             the scene.
>>
>>                      Thanks,
>>                      Paul
>>
>>                 Mark
>>
>>                     -----Original Message-----
>>                     From: clue-bounces@ietf.org
>>                     <mailto:clue-bounces@ietf.org>
>>                     [mailto:clue-bounces@ietf.org
>>                     <mailto:clue-bounces@ietf.org>**] On Behalf
>>                     Of Paul Kyzivat
>>                     Sent: Tuesday, July 03, 2012 1:55 PM
>>                     To: clue@ietf.org <mailto:clue@ietf.org>
>>                     Subject: Re: [clue] Is there anything else to change
>>                     in the framework
>>                     right now?
>>
>>                     On 7/3/12 10:47 AM, Duckworth, Mark wrote:
>>
>>                         4. Clarify that the provider must use the same
>>                         coordinate system
>>                         with same scale and origin for all coordinates
>>                         within the same
>>                         capture scene.
>>
>>
>>                     This is inescapable if the coordinate system scale
>>                     and origin are
>>                     only specifiable as attributes of the capture scene,
>>                     because there is
>>                     no way to violate this.
>>
>>                              Thanks,
>>                              Paul
>>                     ______________________________**___________________
>>                     clue mailing list
>>                     clue@ietf.org <mailto:clue@ietf.org>
>>                     https://www.ietf.org/mailman/_**_listinfo/clue<https://www.ietf.org/mailman/__listinfo/clue>
>>                     <https://www.ietf.org/mailman/**listinfo/clue<https://www.ietf.org/mailman/listinfo/clue>
>> >
>>
>>                 ______________________________**___________________
>>                 clue mailing list
>>                 clue@ietf.org <mailto:clue@ietf.org>
>>                 https://www.ietf.org/mailman/_**_listinfo/clue<https://www.ietf.org/mailman/__listinfo/clue>
>>                 <https://www.ietf.org/mailman/**listinfo/clue<https://www.ietf.org/mailman/listinfo/clue>
>> >
>>
>>
>>             ______________________________**___________________
>>             clue mailing list
>>             clue@ietf.org <mailto:clue@ietf.org>
>>             https://www.ietf.org/mailman/_**_listinfo/clue<https://www.ietf.org/mailman/__listinfo/clue>
>>             <https://www.ietf.org/mailman/**listinfo/clue<https://www.ietf.org/mailman/listinfo/clue>
>> >
>>
>>         ______________________________**___________________
>>         clue mailing list
>>         clue@ietf.org <mailto:clue@ietf.org>
>>         https://www.ietf.org/mailman/_**_listinfo/clue<https://www.ietf.org/mailman/__listinfo/clue>
>>         <https://www.ietf.org/mailman/**listinfo/clue<https://www.ietf.org/mailman/listinfo/clue>
>> >
>>
>>
>>     ______________________________**___________________
>>     clue mailing list
>>     clue@ietf.org <mailto:clue@ietf.org>
>>     https://www.ietf.org/mailman/_**_listinfo/clue<https://www.ietf.org/mailman/__listinfo/clue>
>>     <https://www.ietf.org/mailman/**listinfo/clue<https://www.ietf.org/mailman/listinfo/clue>
>> >
>>
>>
>>
>

--e89a8fb1fbfaeb0f7a04c41814d2
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

I just re-read section 5 and I think it is sufficient. =A0<br><br><div clas=
s=3D"gmail_quote">On Thu, Jul 5, 2012 at 11:51 AM, Paul Kyzivat <span dir=
=3D"ltr">&lt;<a href=3D"mailto:pkyzivat@alum.mit.edu" target=3D"_blank">pky=
zivat@alum.mit.edu</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex"><div class=3D"im">On 7/5/12 12:22 PM, Mary B=
arnes wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">
Do you have a specific suggestion of where and what specific text needs<br>
to be added? =A0 I would assume you are suggesting there is a need to add<b=
r>
some additional text in section 5 somewhere, although I think it might<br>
be redundant.<br>
</blockquote>
<br></div>
On the contrary - my first thought was that nothing need be said about this=
 because it was all implicit and unavoidable. (The best way to avoid doing =
the wrong thing is to make it impossible.)<br>
<br>
I was just acknowledging that if people would like to add some words about =
it that is ok too.<br>
<br>
=A0 =A0 =A0 =A0 Thanks,<br>
=A0 =A0 =A0 =A0 Paul<br>
<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex"><div class=3D"im">
Mary.<br>
<br>
On Tue, Jul 3, 2012 at 3:58 PM, Paul Kyzivat &lt;<a href=3D"mailto:pkyzivat=
@alum.mit.edu" target=3D"_blank">pkyzivat@alum.mit.edu</a><br></div><div cl=
ass=3D"im">
&lt;mailto:<a href=3D"mailto:pkyzivat@alum.mit.edu" target=3D"_blank">pkyzi=
vat@alum.mit.edu</a>&gt;<u></u>&gt; wrote:<br>
<br>
=A0 =A0 On 7/3/12 4:35 PM, Duckworth, Mark wrote:<br>
<br>
=A0 =A0 =A0 =A0 Hi Paul,<br>
<br>
=A0 =A0 =A0 =A0 I thought the group had this conversation before, with the<=
br>
=A0 =A0 =A0 =A0 conclusion that we do not want to have the provider try to<=
br>
=A0 =A0 =A0 =A0 indicate anything about the origin of the coordinate system=
. =A0I<br>
=A0 =A0 =A0 =A0 don&#39;t know how it is possible to specify an origin as a=
n<br>
=A0 =A0 =A0 =A0 attribute. =A0Do you have a suggestion?<br>
<br>
<br>
=A0 =A0 Hmm. OK - I guess you are right that we had this.<br>
=A0 =A0 The scene has a single coordinate system. By a reasonable definitio=
n<br>
=A0 =A0 the origin is (0,0,0) and so need not be stated. All the coordinate=
s<br>
=A0 =A0 used within the scene are relative to that. But the effect is the s=
ame.<br>
<br>
=A0 =A0 But it doesn&#39;t hurt to emphasize that all coordinates are with<=
br>
=A0 =A0 respect to a single coordinate system associated with the scene.<br=
>
=A0 =A0 (And unrelated to coordinates in any other scene.)<br>
<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0Thanks,<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0Paul<br>
<br>
=A0 =A0 =A0 =A0 Mark<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 -----Original Message-----<br>
=A0 =A0 =A0 =A0 =A0 =A0 From: <a href=3D"mailto:clue-bounces@ietf.org" targ=
et=3D"_blank">clue-bounces@ietf.org</a> &lt;mailto:<a href=3D"mailto:clue-b=
ounces@ietf.org" target=3D"_blank">clue-bounces@ietf.org</a>&gt;<br></div><=
div class=3D"im">

=A0 =A0 =A0 =A0 =A0 =A0 [mailto:<a href=3D"mailto:clue-bounces@ietf.org" ta=
rget=3D"_blank">clue-bounces@ietf.org</a><br>
=A0 =A0 =A0 =A0 =A0 =A0 &lt;mailto:<a href=3D"mailto:clue-bounces@ietf.org"=
 target=3D"_blank">clue-bounces@ietf.org</a>&gt;<u></u>] On Behalf Of<br>
=A0 =A0 =A0 =A0 =A0 =A0 Paul Kyzivat<br>
=A0 =A0 =A0 =A0 =A0 =A0 Sent: Tuesday, July 03, 2012 4:30 PM<br></div><div>=
<div class=3D"h5">
=A0 =A0 =A0 =A0 =A0 =A0 To: <a href=3D"mailto:clue@ietf.org" target=3D"_bla=
nk">clue@ietf.org</a> &lt;mailto:<a href=3D"mailto:clue@ietf.org" target=3D=
"_blank">clue@ietf.org</a>&gt;<br>
=A0 =A0 =A0 =A0 =A0 =A0 Subject: Re: [clue] Is there anything else to chang=
e in the<br>
=A0 =A0 =A0 =A0 =A0 =A0 framework right<br>
=A0 =A0 =A0 =A0 =A0 =A0 now?<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 On 7/3/12 3:36 PM, Duckworth, Mark wrote:<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 Hi Paul,<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 You are correct about the scale, but the or=
igin is not<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 specified by an<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 attribute. =A0I think that was the point of the cla=
rification,<br>
=A0 =A0 =A0 =A0 =A0 =A0 which Roni pointed<br>
=A0 =A0 =A0 =A0 =A0 =A0 out some time ago but I forgot to add it in the pre=
vious<br>
=A0 =A0 =A0 =A0 =A0 =A0 version.<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 Then lets make sure that the origin is also an attr=
ibute of<br>
=A0 =A0 =A0 =A0 =A0 =A0 the scene.<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0Thanks,<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0Paul<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 Mark<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 -----Original Message-----<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 From: <a href=3D"mailto:clue-bounce=
s@ietf.org" target=3D"_blank">clue-bounces@ietf.org</a><br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 &lt;mailto:<a href=3D"mailto:clue-b=
ounces@ietf.org" target=3D"_blank">clue-bounces@ietf.org</a>&gt;<br></div><=
/div><div class=3D"im">
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 [mailto:<a href=3D"mailto:clue-boun=
ces@ietf.org" target=3D"_blank">clue-bounces@ietf.org</a><br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 &lt;mailto:<a href=3D"mailto:clue-b=
ounces@ietf.org" target=3D"_blank">clue-bounces@ietf.org</a>&gt;<u></u>] On=
 Behalf<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 Of Paul Kyzivat<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 Sent: Tuesday, July 03, 2012 1:55 P=
M<br></div><div class=3D"im">
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 To: <a href=3D"mailto:clue@ietf.org=
" target=3D"_blank">clue@ietf.org</a> &lt;mailto:<a href=3D"mailto:clue@iet=
f.org" target=3D"_blank">clue@ietf.org</a>&gt;<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 Subject: Re: [clue] Is there anythi=
ng else to change<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 in the framework<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 right now?<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 On 7/3/12 10:47 AM, Duckworth, Mark=
 wrote:<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 4. Clarify that the provide=
r must use the same<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 coordinate system<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 with same scale and origin =
for all coordinates<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 within the same<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 capture scene.<br>
<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 This is inescapable if the coordina=
te system scale<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 and origin are<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 only specifiable as attributes of t=
he capture scene,<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 because there is<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 no way to violate this.<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0Thanks,<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0Paul<br></div>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 ______________________________<u></=
u>___________________<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 clue mailing list<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 <a href=3D"mailto:clue@ietf.org" ta=
rget=3D"_blank">clue@ietf.org</a> &lt;mailto:<a href=3D"mailto:clue@ietf.or=
g" target=3D"_blank">clue@ietf.org</a>&gt;<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 <a href=3D"https://www.ietf.org/mai=
lman/__listinfo/clue" target=3D"_blank">https://www.ietf.org/mailman/_<u></=
u>_listinfo/clue</a><br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 &lt;<a href=3D"https://www.ietf.org=
/mailman/listinfo/clue" target=3D"_blank">https://www.ietf.org/mailman/<u><=
/u>listinfo/clue</a>&gt;<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 ______________________________<u></u>______=
_____________<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 clue mailing list<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 <a href=3D"mailto:clue@ietf.org" target=3D"=
_blank">clue@ietf.org</a> &lt;mailto:<a href=3D"mailto:clue@ietf.org" targe=
t=3D"_blank">clue@ietf.org</a>&gt;<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 <a href=3D"https://www.ietf.org/mailman/__l=
istinfo/clue" target=3D"_blank">https://www.ietf.org/mailman/_<u></u>_listi=
nfo/clue</a><br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 &lt;<a href=3D"https://www.ietf.org/mailman=
/listinfo/clue" target=3D"_blank">https://www.ietf.org/mailman/<u></u>listi=
nfo/clue</a>&gt;<br>
<br>
<br>
=A0 =A0 =A0 =A0 =A0 =A0 ______________________________<u></u>______________=
_____<br>
=A0 =A0 =A0 =A0 =A0 =A0 clue mailing list<br>
=A0 =A0 =A0 =A0 =A0 =A0 <a href=3D"mailto:clue@ietf.org" target=3D"_blank">=
clue@ietf.org</a> &lt;mailto:<a href=3D"mailto:clue@ietf.org" target=3D"_bl=
ank">clue@ietf.org</a>&gt;<br>
=A0 =A0 =A0 =A0 =A0 =A0 <a href=3D"https://www.ietf.org/mailman/__listinfo/=
clue" target=3D"_blank">https://www.ietf.org/mailman/_<u></u>_listinfo/clue=
</a><br>
=A0 =A0 =A0 =A0 =A0 =A0 &lt;<a href=3D"https://www.ietf.org/mailman/listinf=
o/clue" target=3D"_blank">https://www.ietf.org/mailman/<u></u>listinfo/clue=
</a>&gt;<br>
<br>
=A0 =A0 =A0 =A0 ______________________________<u></u>___________________<br=
>
=A0 =A0 =A0 =A0 clue mailing list<br>
=A0 =A0 =A0 =A0 <a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@iet=
f.org</a> &lt;mailto:<a href=3D"mailto:clue@ietf.org" target=3D"_blank">clu=
e@ietf.org</a>&gt;<br>
=A0 =A0 =A0 =A0 <a href=3D"https://www.ietf.org/mailman/__listinfo/clue" ta=
rget=3D"_blank">https://www.ietf.org/mailman/_<u></u>_listinfo/clue</a><br>
=A0 =A0 =A0 =A0 &lt;<a href=3D"https://www.ietf.org/mailman/listinfo/clue" =
target=3D"_blank">https://www.ietf.org/mailman/<u></u>listinfo/clue</a>&gt;=
<br>
<br>
<br>
=A0 =A0 ______________________________<u></u>___________________<br>
=A0 =A0 clue mailing list<br>
=A0 =A0 <a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a=
> &lt;mailto:<a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.o=
rg</a>&gt;<br>
=A0 =A0 <a href=3D"https://www.ietf.org/mailman/__listinfo/clue" target=3D"=
_blank">https://www.ietf.org/mailman/_<u></u>_listinfo/clue</a><br>
=A0 =A0 &lt;<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=
=3D"_blank">https://www.ietf.org/mailman/<u></u>listinfo/clue</a>&gt;<br>
<br>
<br>
</blockquote>
<br>
</blockquote></div><br>

--e89a8fb1fbfaeb0f7a04c41814d2--

From mary.ietf.barnes@gmail.com  Fri Jul  6 08:15:42 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 659E921F86D0 for <clue@ietfa.amsl.com>; Fri,  6 Jul 2012 08:15:42 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.558
X-Spam-Level: 
X-Spam-Status: No, score=-103.558 tagged_above=-999 required=5 tests=[AWL=0.040, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 8OSWNW7WpyLC for <clue@ietfa.amsl.com>; Fri,  6 Jul 2012 08:15:41 -0700 (PDT)
Received: from mail-qc0-f182.google.com (mail-qc0-f182.google.com [209.85.216.182]) by ietfa.amsl.com (Postfix) with ESMTP id 5A1AE21F85EF for <clue@ietf.org>; Fri,  6 Jul 2012 08:15:41 -0700 (PDT)
Received: by qcsg15 with SMTP id g15so7211151qcs.27 for <clue@ietf.org>; Fri, 06 Jul 2012 08:15:57 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :content-type; bh=BltqpKLO/2ttIcVQtr/Zm4jNukSm3/D0FBdFqIch+XU=; b=d5CadiO3ah3d/1/WUifXQKwB0fSIMIDRXZK/YxISDAuUT1H20Qm9x439NhZ0UGIY8o 8Ua7lp/kvVo3h2RHkZ+/8fOkslbBHOproDYuz9cdIjo5sdUpeSo41+S0kt3bc19bxKil EqOB5wnvdDG2nVokRB3F93o1diK6kAI9hz/pjKcwqtxaBxLc+hzCGONoMZkG2OPRhNsY +cPUYFqiiCvSDZvMZlKt8wvwSbLJh7TOw4+Mi0TJ0xxH9Al1h+coJHRSOMchWBSiLS8h arg8ONDWYKaHL+c27nN+bndqRQhnL54vUBrZx/bZ+C5MVoEaGH2GVq9GFA6mL4ZiMwvi vn+g==
MIME-Version: 1.0
Received: by 10.60.10.99 with SMTP id h3mr31565355oeb.72.1341587757356; Fri, 06 Jul 2012 08:15:57 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Fri, 6 Jul 2012 08:15:57 -0700 (PDT)
In-Reply-To: <CAHBDyN4S5Wyzx0gtO8FfZ8QVcFwaXnWP3C7RjjKwgzpy1UKqYA@mail.gmail.com>
References: <CAHBDyN4S5Wyzx0gtO8FfZ8QVcFwaXnWP3C7RjjKwgzpy1UKqYA@mail.gmail.com>
Date: Fri, 6 Jul 2012 10:15:57 -0500
Message-ID: <CAHBDyN46QKLPU+grs-2AQbqRz0DhGj8unCM18Wm2-80F70aDRw@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=e89a8fb1fbfab654c504c42abd58
Subject: Re: [clue] Concensus call: Text for "Axis of Capture"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 06 Jul 2012 15:15:42 -0000

--e89a8fb1fbfab654c504c42abd58
Content-Type: text/plain; charset=ISO-8859-1

There's been a lot of discussion around Roni's point, but I haven't seen an
explicit suggestion for additional text or changes to the proposed text.
 Barring that, Mark will be updating the framework to include the proposed
text (note, he will be on vacation, thus this will be the final update
before the meeting).

Mary.

On Mon, Jul 2, 2012 at 12:58 PM, Mary Barnes <mary.ietf.barnes@gmail.com>wrote:

> Per the design team call last week, we want to do a consensus call for the
> text to cover the "Axis of capture".  There were several suggested updates
> to Stephan's original text:
> http://www.ietf.org/mail-archive/web/clue/current/msg01583.html
>
> Thus, we would like folks to respond as to whether they are okay with the
> following text being added to section 6.1.1 (relative to
> draft-ietf-clue-framework-05 - after the two paragraphs of "point of
> capture" - middle of page 11):
>
>    Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian
>
>    (X, Y, Z) point value (virtual or physical) which describes a position
>
>    in space of a second point on the axis of capture of the capturing
>
>    device; the first point being the Point of Capture (see above).
>
>
>    The axis of capture point MUST NOT be specified if the Point of Capture
>
>    is not present for this capture device.
>
>    When the Axis of Capture Point attribute is specified, it must include X,
>    Y and Z coordinates.  These coordinates MUST not be identical to the
>
>    Point of Capture coordinates.
>
>    If the Axis of Capture Point is not specified, it
>    means the consumer should not assume anything about the axis of
>
>    capture of the capturing device.
>
>
>
> So, please respond "Yes" if you think the text if fine, "Maybe" if you
> think it needs tweaking (and include the suggested
> tweaks). Note, we agreed to add this at the interim meeting, thus if you
> answer "No", you must include
> a compelling reason why this should not be added in some form.
>
> Regards,
> Mary
> CLUE WG co-chair
>

--e89a8fb1fbfab654c504c42abd58
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

There&#39;s been a lot of discussion around Roni&#39;s point, but I haven&#=
39;t seen an explicit suggestion for additional text or changes to the prop=
osed text. =A0Barring that, Mark will be updating the framework to include =
the proposed text (note, he will be on vacation, thus this will be the fina=
l update before the meeting). =A0=A0<div>
<br></div><div>Mary.=A0<br><br><div class=3D"gmail_quote">On Mon, Jul 2, 20=
12 at 12:58 PM, Mary Barnes <span dir=3D"ltr">&lt;<a href=3D"mailto:mary.ie=
tf.barnes@gmail.com" target=3D"_blank">mary.ietf.barnes@gmail.com</a>&gt;</=
span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">Per the design team call last week, we want =
to do a consensus call for the text to cover the &quot;Axis of capture&quot=
;. =A0There were several suggested updates to Stephan&#39;s original text:<=
br>
<div><a href=3D"http://www.ietf.org/mail-archive/web/clue/current/msg01583.=
html" target=3D"_blank">http://www.ietf.org/mail-archive/web/clue/current/m=
sg01583.html</a></div>
<div><br></div><div>Thus, we would like folks to respond as to whether they=
 are okay with the following text being added to section 6.1.1<font face=3D=
"arial, helvetica, sans-serif">=A0(relative to draft-ietf-clue-framework-05=
 - after the two paragraphs of &quot;point of capture&quot; - middle of pag=
e 11):</font></div>

<div><font face=3D"arial, helvetica, sans-serif"><br></font></div><div><fon=
t face=3D"arial, helvetica, sans-serif"><table width=3D"100%" style=3D"font=
-family:Times;font-size:medium">
<tbody><tr><td><div><span style=3D"font-size:13px;line-height:16px;font-fam=
ily:arial,helvetica,clean,sans-serif"><pre style=3D"white-space:pre-wrap;wo=
rd-wrap:break-word;width:780px;font-family:monospace;line-height:1.2em;marg=
in-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px">
   Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian=A0</p=
re><pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font=
-family:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-=
bottom:0px;margin-left:0px">
   (X, Y, Z) point value (virtual or physical) which describes a position=
=A0</pre><pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780p=
x;font-family:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;m=
argin-bottom:0px;margin-left:0px">
   in space of a second point on the axis of capture of the capturing=A0</p=
re><pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font=
-family:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-=
bottom:0px;margin-left:0px">
   device; the first point being the Point of Capture (see above).</pre><pr=
e style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-famil=
y:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bottom=
:0px;margin-left:0px">
<br></pre><pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780=
px;font-family:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;=
margin-bottom:0px;margin-left:0px">   The axis of capture point MUST NOT be=
 specified if the Point of Capture</pre>

<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px">   is not present for this capture device. =A0</pr=
e>

<pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-fa=
mily:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bot=
tom:0px;margin-left:0px">   When the Axis of Capture Point attribute is spe=
cified, it must include X,
   Y and Z coordinates. =A0These coordinates MUST not be identical to the=
=A0</pre><pre style=3D"white-space:pre-wrap;word-wrap:break-word;width:780p=
x;font-family:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;m=
argin-bottom:0px;margin-left:0px">
   Point of Capture coordinates. </pre><pre style=3D"white-space:pre-wrap;w=
ord-wrap:break-word;width:780px;font-family:monospace;line-height:1.2em;mar=
gin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px">   If the A=
xis of Capture Point is not specified, it
   means the consumer should not assume anything about the axis of</pre><pr=
e style=3D"white-space:pre-wrap;word-wrap:break-word;width:780px;font-famil=
y:monospace;line-height:1.2em;margin-top:0px;margin-right:0px;margin-bottom=
:0px;margin-left:0px">
   capture of the capturing device.  </pre><div><br></div><div><br></div><d=
iv>So, please respond &quot;Yes&quot; if you think the text if fine, &quot;=
Maybe&quot; if you think it needs tweaking (and include the suggested</div>

<div>tweaks). Note, we agreed to add this at the interim meeting, thus if y=
ou answer &quot;No&quot;, you must include=A0</div><div>a compelling reason=
 why this should not be added in some form.</div><div><br></div><div>Regard=
s,</div>

<div>Mary</div><div>CLUE WG co-chair</div></span></div></td></tr></tbody></=
table></font></div>
</blockquote></div><br></div>

--e89a8fb1fbfab654c504c42abd58--

From john@jlc.net  Fri Jul  6 08:54:49 2012
Return-Path: <john@jlc.net>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id B15D321F85AE for <clue@ietfa.amsl.com>; Fri,  6 Jul 2012 08:54:49 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -106.547
X-Spam-Level: 
X-Spam-Status: No, score=-106.547 tagged_above=-999 required=5 tests=[AWL=0.052, BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id b-0Df1N1KxXQ for <clue@ietfa.amsl.com>; Fri,  6 Jul 2012 08:54:49 -0700 (PDT)
Received: from mailhost.jlc.net (mailhost.jlc.net [199.201.159.4]) by ietfa.amsl.com (Postfix) with ESMTP id F080F21F879C for <clue@ietf.org>; Fri,  6 Jul 2012 08:54:48 -0700 (PDT)
Received: by mailhost.jlc.net (Postfix, from userid 104) id 3DEA233C33; Fri,  6 Jul 2012 11:55:05 -0400 (EDT)
Date: Fri, 6 Jul 2012 11:55:05 -0400
From: John Leslie <john@jlc.net>
To: Mary Barnes <mary.ietf.barnes@gmail.com>
Message-ID: <20120706155505.GB40678@verdi>
References: <CAHBDyN4S5Wyzx0gtO8FfZ8QVcFwaXnWP3C7RjjKwgzpy1UKqYA@mail.gmail.com> <CAHBDyN46QKLPU+grs-2AQbqRz0DhGj8unCM18Wm2-80F70aDRw@mail.gmail.com>
Mime-Version: 1.0
Content-Type: text/plain; charset=us-ascii
Content-Disposition: inline
In-Reply-To: <CAHBDyN46QKLPU+grs-2AQbqRz0DhGj8unCM18Wm2-80F70aDRw@mail.gmail.com>
User-Agent: Mutt/1.4.1i
Cc: CLUE <clue@ietf.org>
Subject: Re: [clue] Concensus call: Text for "Axis of Capture"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 06 Jul 2012 15:54:49 -0000

Mary Barnes <mary.ietf.barnes@gmail.com> wrote:
>>
>>    Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian
>>    (X, Y, Z) point value (virtual or physical) which describes a position
>>    in space of a second point on the axis of capture of the capturing
>>    device; the first point being the Point of Capture (see above).
>>
>>    The axis of capture point MUST NOT be specified if the Point of Capture
>>    is not present for this capture device.
>>
>>    When the Axis of Capture Point attribute is specified, it must include X,
>>    Y and Z coordinates.  These coordinates MUST not be identical to the
>>    Point of Capture coordinates.
>>
>>    If the Axis of Capture Point is not specified, it
>>    means the consumer should not assume anything about the axis of
>>    capture of the capturing device.
>>
>> So, please respond "Yes" if you think the text if fine, "Maybe" if you
>> think it needs tweaking (and include the suggested tweaks)...

   Maybe...

   The name "Axis of Capture Point" is confusing; "Point on Axis of
Capture" would be easier to understand. (I'm not partial to that name:
I can think of better ones, but I'm not sure exactly what meaning we
agree to for this value.

   "MUST not be specified" deserves wordsmithing; I'd prefer "SHOULD NOT
be specified" or "MUST be ignored". We can't encourage crashing if this
value is included in error.

   "MUST not be identical" is perhaps under-specifying; I'd prefer
"SHOULD be at or near the intersection with the plane of capture" or
something to that effect.

   "Consumer should not assume anything" could use wordsmithing. The
end-user (person) can and will do whatever s/he wants: it's the
receiving system we mean here. And I'd prefer "receiving system MUST NOT
assume anything".

   Other than those, I think it's fine.

--
John Leslie <john@jlc.net>

From pkyzivat@alum.mit.edu  Fri Jul  6 09:08:53 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 67FF021F87AE for <clue@ietfa.amsl.com>; Fri,  6 Jul 2012 09:08:53 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.321
X-Spam-Level: 
X-Spam-Status: No, score=-2.321 tagged_above=-999 required=5 tests=[AWL=0.278,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id MoNuR1eHIc51 for <clue@ietfa.amsl.com>; Fri,  6 Jul 2012 09:08:52 -0700 (PDT)
Received: from qmta05.westchester.pa.mail.comcast.net (qmta05.westchester.pa.mail.comcast.net [76.96.62.48]) by ietfa.amsl.com (Postfix) with ESMTP id 4BC0221F87A9 for <clue@ietf.org>; Fri,  6 Jul 2012 09:08:52 -0700 (PDT)
Received: from omta20.westchester.pa.mail.comcast.net ([76.96.62.71]) by qmta05.westchester.pa.mail.comcast.net with comcast id WzR71j0051YDfWL5549AqL; Fri, 06 Jul 2012 16:09:10 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta20.westchester.pa.mail.comcast.net with comcast id X4931j00N3ZTu2S3g49311; Fri, 06 Jul 2012 16:09:04 +0000
Message-ID: <4FF70DA3.7000703@alum.mit.edu>
Date: Fri, 06 Jul 2012 12:09:07 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <CAHBDyN4S5Wyzx0gtO8FfZ8QVcFwaXnWP3C7RjjKwgzpy1UKqYA@mail.gmail.com> <CAHBDyN46QKLPU+grs-2AQbqRz0DhGj8unCM18Wm2-80F70aDRw@mail.gmail.com> <20120706155505.GB40678@verdi>
In-Reply-To: <20120706155505.GB40678@verdi>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Concensus call: Text for "Axis of Capture"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 06 Jul 2012 16:08:53 -0000

On 7/6/12 11:55 AM, John Leslie wrote:
> Mary Barnes<mary.ietf.barnes@gmail.com>  wrote:
>>>
>>>     Axis of Capture Point: {(X, Y, Z)} A field with a single Cartesian
>>>     (X, Y, Z) point value (virtual or physical) which describes a position
>>>     in space of a second point on the axis of capture of the capturing
>>>     device; the first point being the Point of Capture (see above).
>>>
>>>     The axis of capture point MUST NOT be specified if the Point of Capture
>>>     is not present for this capture device.
>>>
>>>     When the Axis of Capture Point attribute is specified, it must include X,
>>>     Y and Z coordinates.  These coordinates MUST not be identical to the
>>>     Point of Capture coordinates.
>>>
>>>     If the Axis of Capture Point is not specified, it
>>>     means the consumer should not assume anything about the axis of
>>>     capture of the capturing device.
>>>
>>> So, please respond "Yes" if you think the text if fine, "Maybe" if you
>>> think it needs tweaking (and include the suggested tweaks)...
>
>     Maybe...
>
>     The name "Axis of Capture Point" is confusing; "Point on Axis of
> Capture" would be easier to understand. (I'm not partial to that name:
> I can think of better ones, but I'm not sure exactly what meaning we
> agree to for this value.

A way to avoid the terminology confusion would be to replace the "point 
of capture" attribute, with an "axis of capture" attribute containing 
two points, with the first specified to be the point of capture. If 
desired, it would still be possible to make the 2nd point optional.

	Thanks,
	Paul

>     "MUST not be specified" deserves wordsmithing; I'd prefer "SHOULD NOT
> be specified" or "MUST be ignored". We can't encourage crashing if this
> value is included in error.
>
>     "MUST not be identical" is perhaps under-specifying; I'd prefer
> "SHOULD be at or near the intersection with the plane of capture" or
> something to that effect.
>
>     "Consumer should not assume anything" could use wordsmithing. The
> end-user (person) can and will do whatever s/he wants: it's the
> receiving system we mean here. And I'd prefer "receiving system MUST NOT
> assume anything".
>
>     Other than those, I think it's fine.
>
> --
> John Leslie<john@jlc.net>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From mary.ietf.barnes@gmail.com  Fri Jul  6 14:19:36 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 1682911E80F5 for <clue@ietfa.amsl.com>; Fri,  6 Jul 2012 14:19:36 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.54
X-Spam-Level: 
X-Spam-Status: No, score=-103.54 tagged_above=-999 required=5 tests=[AWL=0.058, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id FxFcytQL2RIR for <clue@ietfa.amsl.com>; Fri,  6 Jul 2012 14:19:35 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id 203B511E808F for <clue@ietf.org>; Fri,  6 Jul 2012 14:19:35 -0700 (PDT)
Received: by mail-ob0-f172.google.com with SMTP id wc20so17461207obb.31 for <clue@ietf.org>; Fri, 06 Jul 2012 14:19:52 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :content-type; bh=qpmrQJBR98SIl4WSyJlfEHGdcQK4dGx1pE7nQk0gX2E=; b=OXY3YBZOVsSDqUWURbZjhlJONZe1+6SL3SD3z9oXcaGmKYlqq2bOVLgHb7jhUBqXsb Ef2giSPaIpJmkWM6t3BjI5if08Bq++c7WG4FbVrgiw+wzz7ACCUHS98Dluh35cADjlyf FXVE3edTGddVYb7Mwa+EdoLekEEWDZpHdA1x2HCuyEGDZR2Boxgzs34Me3uBEIafZXB8 /U+sLTZaxCoOc+WxTOHs8KCvjSIb9nlWcbEmq4PIb+lg+BV54XSID24IcX1O24d/0a1I iPoCY5twFLxGsmWuqyMZmnYaZ8Bkt68PZY48keXxSaxVRCBoTEVFnaxwpBBGtTSSftVg /J9w==
MIME-Version: 1.0
Received: by 10.182.145.8 with SMTP id sq8mr27106528obb.50.1341609592394; Fri, 06 Jul 2012 14:19:52 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Fri, 6 Jul 2012 14:19:52 -0700 (PDT)
In-Reply-To: <20120706211533.3449.10225.idtracker@ietfa.amsl.com>
References: <20120706211533.3449.10225.idtracker@ietfa.amsl.com>
Date: Fri, 6 Jul 2012 16:19:52 -0500
Message-ID: <CAHBDyN5r2ibC_BFJPa6qDe6_9+JSc+rJXDT1HEohk8LhxhMEpg@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=f46d044786c32e92a404c42fd323
Subject: [clue] Fwd: NomCom 2012-13 Call for Volunteers
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 06 Jul 2012 21:19:36 -0000

--f46d044786c32e92a404c42fd323
Content-Type: text/plain; charset=ISO-8859-1

FYI...

---------- Forwarded message ----------
From: NomCom Chair <nomcom-chair@ietf.org>
Date: Fri, Jul 6, 2012 at 4:15 PM
Subject: NomCom 2012-13 Call for Volunteers
To: IETF Announcement List <ietf-announce@ietf.org>


The IETF nominating committee process for 2012-13 has begun. The IETF
nominating committee appoints folks to fill the open slots on the
IAOC, the IAB, and the IESG. The 10 nominating committee members are
selected randomly from a pool of volunteers. The more volunteers, the
better chance we have of choosing a random yet representative cross
section of the IETF population.  The details of the operation of the
nomcom can be found in RFC 3777.

To be eligible, volunteers for the nomcom need to have attended 3 of
the past 5 IETF meetings as of the time this announcement goes out.
That is, 3 meetings from IETF 79 (Beijing) - IETF 83 (Paris). If you
qualify, and if you will not be seeking appointment to any of the open
positions that this nomcom will be filling, please consider
volunteering.

The list of people whose terms end with the March 2013 IETF meeting,
and thus the positions for which the nominating committee is
responsible for filling, are as follows:

IAOC:
--------
Dave Crocker

IAB:
--------
Alissa Cooper
Joel Halpern
David Kessens
Danny McPherson
Jon Peterson
Dave Thaler

IESG:
--------
Russ Housley (General Area)
Pete Resnick (Applications Area)
Ralph Droms (Internet Area)
Ronald Bonica (Operations and Management Area)
Robert Sparks (Real-Time Applications and Infrastructure Area)
Adrian Farrel (Routing Area)
Stephen Farrell (Security Area)
Wesley Eddy (Transport Area)

The primary activity for this nomcom will begin in August 2012 and
should be completed in January 2013. The nomcom will be collecting
requirements from the community, as well as talking to candidates and
obtaining feedback from community members about candidates. There will
be regularly scheduled conference calls to ensure progress. Thus,
being a nomcom member does require some time commitment.

Please volunteer by sending an email before 11:59 pm EDT (UTC - 4
hours) August 5, 2012 as follows:

To: mlepinski.ietf@gmail.com
Subject: Nomcom 2012-13 Volunteer

Please include the following information in the body:

<Your Full Name>  // As you enter in the IETF Registration Form,
                    // First/Given name followed by Last/Family Name
<Current Primary Affiliation>
                // typically what goes in the Company field
                //  in the IETF Registration Form
[<all email addresses used to Register for the past 5 IETF meetings>]
<Preferred email address>  //
<Telephone number>         // For confirmation if selected

Please expect an email response from me within 3 business days stating
whether or not you are qualified.  If you don't receive a response,
please re-send your email with the tag "RESEND:" added to the subject
line.

If you are not yet sure you would like to volunteer, please consider
that nomcom members play a very important role in shaping the
leadership of the IETF.  Ensuring the leadership of the IETF is fair
and balanced and comprised of those who can lead the IETF in the right
direction is an important responsibility that rests on the IETF
participants at large. Volunteering for the nomcom is a good way of
contributing toward that goal.

I will be publishing a more detailed timetable for nomcom activities,
as well as details of the randomness seeds to be used for the RFC 3797
selection process, within the next couple weeks.

Thank you,
Matthew Lepinski
mlepinski.ietf@gmail.com
nomcom-chair@ietf.org

--f46d044786c32e92a404c42fd323
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

FYI...<div><br><div class=3D"gmail_quote">---------- Forwarded message ----=
------<br>From: <b class=3D"gmail_sendername">NomCom Chair</b> <span dir=3D=
"ltr">&lt;<a href=3D"mailto:nomcom-chair@ietf.org">nomcom-chair@ietf.org</a=
>&gt;</span><br>
Date: Fri, Jul 6, 2012 at 4:15 PM<br>Subject: NomCom 2012-13 Call for Volun=
teers<br>To: IETF Announcement List &lt;<a href=3D"mailto:ietf-announce@iet=
f.org">ietf-announce@ietf.org</a>&gt;<br><br><br>The IETF nominating commit=
tee process for 2012-13 has begun. The IETF<br>

nominating committee appoints folks to fill the open slots on the<br>
IAOC, the IAB, and the IESG. The 10 nominating committee members are<br>
selected randomly from a pool of volunteers. The more volunteers, the<br>
better chance we have of choosing a random yet representative cross<br>
section of the IETF population. =A0The details of the operation of the<br>
nomcom can be found in RFC 3777.<br>
<br>
To be eligible, volunteers for the nomcom need to have attended 3 of<br>
the past 5 IETF meetings as of the time this announcement goes out.<br>
That is, 3 meetings from IETF 79 (Beijing) - IETF 83 (Paris). If you<br>
qualify, and if you will not be seeking appointment to any of the open<br>
positions that this nomcom will be filling, please consider<br>
volunteering.<br>
<br>
The list of people whose terms end with the March 2013 IETF meeting,<br>
and thus the positions for which the nominating committee is<br>
responsible for filling, are as follows:<br>
<br>
IAOC:<br>
--------<br>
Dave Crocker<br>
<br>
IAB:<br>
--------<br>
Alissa Cooper<br>
Joel Halpern<br>
David Kessens<br>
Danny McPherson<br>
Jon Peterson<br>
Dave Thaler<br>
<br>
IESG:<br>
--------<br>
Russ Housley (General Area)<br>
Pete Resnick (Applications Area)<br>
Ralph Droms (Internet Area)<br>
Ronald Bonica (Operations and Management Area)<br>
Robert Sparks (Real-Time Applications and Infrastructure Area)<br>
Adrian Farrel (Routing Area)<br>
Stephen Farrell (Security Area)<br>
Wesley Eddy (Transport Area)<br>
<br>
The primary activity for this nomcom will begin in August 2012 and<br>
should be completed in January 2013. The nomcom will be collecting<br>
requirements from the community, as well as talking to candidates and<br>
obtaining feedback from community members about candidates. There will<br>
be regularly scheduled conference calls to ensure progress. Thus,<br>
being a nomcom member does require some time commitment.<br>
<br>
Please volunteer by sending an email before 11:59 pm EDT (UTC - 4<br>
hours) August 5, 2012 as follows:<br>
<br>
To: <a href=3D"mailto:mlepinski.ietf@gmail.com">mlepinski.ietf@gmail.com</a=
><br>
Subject: Nomcom 2012-13 Volunteer<br>
<br>
Please include the following information in the body:<br>
<br>
&lt;Your Full Name&gt; =A0// As you enter in the IETF Registration Form,<br=
>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 // First/Given name followed by Las=
t/Family Name<br>
&lt;Current Primary Affiliation&gt;<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 // typically what goes in the Company field=
<br>
=A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 // =A0in the IETF Registration Form<br>
[&lt;all email addresses used to Register for the past 5 IETF meetings&gt;]=
<br>
&lt;Preferred email address&gt; =A0//<br>
&lt;Telephone number&gt; =A0 =A0 =A0 =A0 // For confirmation if selected<br=
>
<br>
Please expect an email response from me within 3 business days stating<br>
whether or not you are qualified. =A0If you don&#39;t receive a response,<b=
r>
please re-send your email with the tag &quot;RESEND:&quot; added to the sub=
ject<br>
line.<br>
<br>
If you are not yet sure you would like to volunteer, please consider<br>
that nomcom members play a very important role in shaping the<br>
leadership of the IETF. =A0Ensuring the leadership of the IETF is fair<br>
and balanced and comprised of those who can lead the IETF in the right<br>
direction is an important responsibility that rests on the IETF<br>
participants at large. Volunteering for the nomcom is a good way of<br>
contributing toward that goal.<br>
<br>
I will be publishing a more detailed timetable for nomcom activities,<br>
as well as details of the randomness seeds to be used for the RFC 3797<br>
selection process, within the next couple weeks.<br>
<br>
Thank you,<br>
Matthew Lepinski<br>
<a href=3D"mailto:mlepinski.ietf@gmail.com">mlepinski.ietf@gmail.com</a><br=
>
<a href=3D"mailto:nomcom-chair@ietf.org">nomcom-chair@ietf.org</a><br>
</div><br></div>

--f46d044786c32e92a404c42fd323--

From internet-drafts@ietf.org  Fri Jul  6 16:52:29 2012
Return-Path: <internet-drafts@ietf.org>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 388DC11E80CE; Fri,  6 Jul 2012 16:52:29 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -102.582
X-Spam-Level: 
X-Spam-Status: No, score=-102.582 tagged_above=-999 required=5 tests=[AWL=0.017, BAYES_00=-2.599, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id a+ZIrpbDcVCI; Fri,  6 Jul 2012 16:52:28 -0700 (PDT)
Received: from ietfa.amsl.com (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 5335211E80BE; Fri,  6 Jul 2012 16:52:26 -0700 (PDT)
MIME-Version: 1.0
Content-Type: text/plain; charset="utf-8"
Content-Transfer-Encoding: quoted-printable
From: internet-drafts@ietf.org
To: i-d-announce@ietf.org
X-Test-IDTracker: no
X-IETF-IDTracker: 4.30p2
Message-ID: <20120706235226.2203.12946.idtracker@ietfa.amsl.com>
Date: Fri, 06 Jul 2012 16:52:26 -0700
Cc: clue@ietf.org
Subject: [clue] I-D Action: draft-ietf-clue-framework-06.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 06 Jul 2012 23:52:29 -0000

A New Internet-Draft is available from the on-line Internet-Drafts director=
ies.
 This draft is a work item of the ControLling mUltiple streams for tElepres=
ence Working Group of the IETF.

	Title           : Framework for Telepresence Multi-Streams
	Author(s)       : Allyn Romanow
                          Mark Duckworth
                          Andrew Pepperell
                          Brian Baldino
	Filename        : draft-ietf-clue-framework-06.txt
	Pages           : 35
	Date            : 2012-07-06

Abstract:
   This memo offers a framework for a protocol that enables devices in a
   telepresence conference to interoperate by specifying the
   relationships between multiple media streams.


The IETF datatracker status page for this draft is:
https://datatracker.ietf.org/doc/draft-ietf-clue-framework

There's also a htmlized version available at:
http://tools.ietf.org/html/draft-ietf-clue-framework-06

A diff from previous version is available at:
http://tools.ietf.org/rfcdiff?url2=3Ddraft-ietf-clue-framework-06


Internet-Drafts are also available by anonymous FTP at:
ftp://ftp.ietf.org/internet-drafts/


From Mark.Duckworth@polycom.com  Fri Jul  6 16:56:06 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 9902311E80BD for <clue@ietfa.amsl.com>; Fri,  6 Jul 2012 16:56:06 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.469
X-Spam-Level: 
X-Spam-Status: No, score=-6.469 tagged_above=-999 required=5 tests=[AWL=0.130,  BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 2Q2kcg5v0lfo for <clue@ietfa.amsl.com>; Fri,  6 Jul 2012 16:56:06 -0700 (PDT)
Received: from crpehubprd02.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id EFC7D11E80BC for <clue@ietf.org>; Fri,  6 Jul 2012 16:56:05 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::ad68:5a0:c919:66b6]) by crpehubprd02.polycom.com ([fe80::5efe:10.236.0.154%12]) with mapi; Fri, 6 Jul 2012 16:56:23 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Fri, 6 Jul 2012 16:56:21 -0700
Thread-Topic: [clue] I-D Action: draft-ietf-clue-framework-06.txt
Thread-Index: Ac1b0nTqbF387a9hQh+aAcfjSo43cgAACUvw
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A6102FE143E76@CRPMBOXPRD01.polycom.com>
References: <20120706235226.2203.12946.idtracker@ietfa.amsl.com>
In-Reply-To: <20120706235226.2203.12946.idtracker@ietfa.amsl.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] I-D Action: draft-ietf-clue-framework-06.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 06 Jul 2012 23:56:06 -0000

About the axis of capture point, I included the text from Mary's consensus =
call email.  I'll be away, but if the group decides to change anything next=
 week, I should be able to update the document before the deadline on July =
16.

Mark

> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
> internet-drafts@ietf.org
> Sent: Friday, July 06, 2012 7:52 PM
> To: i-d-announce@ietf.org
> Cc: clue@ietf.org
> Subject: [clue] I-D Action: draft-ietf-clue-framework-06.txt
>=20
>=20
> A New Internet-Draft is available from the on-line Internet-Drafts direct=
ories.
>  This draft is a work item of the ControLling mUltiple streams for tElepr=
esence
> Working Group of the IETF.
>=20
> 	Title           : Framework for Telepresence Multi-Streams
> 	Author(s)       : Allyn Romanow
>                           Mark Duckworth
>                           Andrew Pepperell
>                           Brian Baldino
> 	Filename        : draft-ietf-clue-framework-06.txt
> 	Pages           : 35
> 	Date            : 2012-07-06
>=20
> Abstract:
>    This memo offers a framework for a protocol that enables devices in a
>    telepresence conference to interoperate by specifying the
>    relationships between multiple media streams.
>=20
>=20
> The IETF datatracker status page for this draft is:
> https://datatracker.ietf.org/doc/draft-ietf-clue-framework
>=20
> There's also a htmlized version available at:
> http://tools.ietf.org/html/draft-ietf-clue-framework-06
>=20
> A diff from previous version is available at:
> http://tools.ietf.org/rfcdiff?url2=3Ddraft-ietf-clue-framework-06
>=20
>=20
> Internet-Drafts are also available by anonymous FTP at:
> ftp://ftp.ietf.org/internet-drafts/
>=20
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue

From espeberg@cisco.com  Sat Jul  7 02:32:18 2012
Return-Path: <espeberg@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 20EB621F8559 for <clue@ietfa.amsl.com>; Sat,  7 Jul 2012 02:32:18 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.598
X-Spam-Level: 
X-Spam-Status: No, score=-10.598 tagged_above=-999 required=5 tests=[AWL=-0.000, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id fBvS7we5g8s4 for <clue@ietfa.amsl.com>; Sat,  7 Jul 2012 02:32:16 -0700 (PDT)
Received: from rcdn-iport-5.cisco.com (rcdn-iport-5.cisco.com [173.37.86.76]) by ietfa.amsl.com (Postfix) with ESMTP id BD4D821F8557 for <clue@ietf.org>; Sat,  7 Jul 2012 02:32:16 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=espeberg@cisco.com; l=6294; q=dns/txt; s=iport; t=1341653556; x=1342863156; h=from:to:subject:date:message-id:references:in-reply-to: mime-version; bh=Eg6u0SooyZLXjarf+9SAe16gsK6DEWx8+Ks5Z/jod44=; b=FdVSnC+MLhkp4a+Q6dgGm7eO5suZZlLP7dFKuLwdLNTlThf5+Wgt5btD ZuDm6gFYY3opmwoMkYr+IZybTNP6de0dft3WGzEZKIZI7dtGoohjk7Hmi 26eoh1QJI7LaCaFwryhNmyeq1Ljw1EWqtFQER62IH9ecG4lIkzClQzeqU 4=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av8EANgB+E+tJV2Y/2dsb2JhbABEgkq1FYEHghgBAQEEEgEaXAIBCBEEAQELHQcyFAkIAQEEARIIGodpmiafb4tAhSxgA6NVgWaCXw
X-IronPort-AV: E=Sophos;i="4.77,542,1336348800"; d="scan'208,217";a="99614583"
Received: from rcdn-core-1.cisco.com ([173.37.93.152]) by rcdn-iport-5.cisco.com with ESMTP; 07 Jul 2012 09:32:35 +0000
Received: from xhc-rcd-x02.cisco.com (xhc-rcd-x02.cisco.com [173.37.183.76]) by rcdn-core-1.cisco.com (8.14.5/8.14.5) with ESMTP id q679WYF0029192 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Sat, 7 Jul 2012 09:32:35 GMT
Received: from xmb-rcd-x11.cisco.com ([169.254.1.95]) by xhc-rcd-x02.cisco.com ([173.37.183.76]) with mapi id 14.02.0298.004; Sat, 7 Jul 2012 04:32:34 -0500
From: "Espen Berger (espeberg)" <espeberg@cisco.com>
To: "Duckworth, Mark" <Mark.Duckworth@polycom.com>, "clue@ietf.org" <clue@ietf.org>
Thread-Topic: Remove framework appendix A.6 Private Information
Thread-Index: Ac1YZDMqYBC6ebFjTFukCZiHKsGoFgDvwcHg
Date: Sat, 7 Jul 2012 09:32:34 +0000
Message-ID: <E8F5F2C7B2623641BD9ABF0B622D726D01C301@xmb-rcd-x11.cisco.com>
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE035D36@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A6102FE035D36@CRPMBOXPRD01.polycom.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.55.88.118]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19024.004
x-tm-as-result: No--31.023300-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: multipart/alternative; boundary="_000_E8F5F2C7B2623641BD9ABF0B622D726D01C301xmbrcdx11ciscocom_"
MIME-Version: 1.0
Subject: Re: [clue] Remove framework appendix A.6 Private Information
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Sat, 07 Jul 2012 09:32:18 -0000

--_000_E8F5F2C7B2623641BD9ABF0B622D726D01C301xmbrcdx11ciscocom_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

>>So I don't see any value in keeping this A.6 appendix in the framework.  =
Do you agree?

Agree, we want extensibility in CLUE and it will be up to others to decide =
how to use the extension mechanisms.

-Espen



From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Duc=
kworth, Mark
Sent: 2. juli 2012 17:22
To: clue@ietf.org
Subject: [clue] Remove framework appendix A.6 Private Information

At the interim meeting, we decided to remove the framework appendices A.1 t=
hrough A.5.  I think we forgot to talk about A.6, which I am proposing we a=
lso remove.  Here is the entire content of A.6:

A.6.  Private Information
   Do we want a way to include private information?

I think the intent of this was asking if we wanted ability to convey propri=
etary (rather than private) information in CLUE messages.  I haven't seen a=
nybody proposing anything specific about this.  I think it could be address=
ed when we address extensibility in the protocol.

So I don't see any value in keeping this A.6 appendix in the framework.  Do=
 you agree?

Regards,
Mark

--_000_E8F5F2C7B2623641BD9ABF0B622D726D01C301xmbrcdx11ciscocom_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40">
<head>
<meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"=
>
<meta name=3D"Generator" content=3D"Microsoft Word 14 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0cm;
	margin-bottom:.0001pt;
	font-size:11.0pt;
	font-family:"Calibri","sans-serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
span.EmailStyle17
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
span.EmailStyle18
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-size:10.0pt;}
@page WordSection1
	{size:612.0pt 792.0pt;
	margin:72.0pt 72.0pt 72.0pt 72.0pt;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang=3D"NO-BOK" link=3D"blue" vlink=3D"purple">
<div class=3D"WordSection1">
<p class=3D"MsoNormal"><span lang=3D"EN-US">&gt;&gt;So I don&#8217;t see an=
y value in keeping this A.6 appendix in the framework.&nbsp; Do you agree?<=
o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Agree, we want extensibility in=
 CLUE and it will be up to others to decide how to use the extension mechan=
isms.
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US">-Espen <o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"color:#1F497D"><o:p>&n=
bsp;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"color:#1F497D"><o:p>&n=
bsp;</o:p></span></p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0cm =
0cm 0cm">
<p class=3D"MsoNormal"><b><span lang=3D"EN-US" style=3D"font-size:10.0pt;fo=
nt-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span =
lang=3D"EN-US" style=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&qu=
ot;sans-serif&quot;"> clue-bounces@ietf.org [mailto:clue-bounces@ietf.org]
<b>On Behalf Of </b>Duckworth, Mark<br>
<b>Sent:</b> 2. juli 2012 17:22<br>
<b>To:</b> clue@ietf.org<br>
<b>Subject:</b> [clue] Remove framework appendix A.6 Private Information<o:=
p></o:p></span></p>
</div>
</div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US">At the interim meeting, we deci=
ded to remove the framework appendices A.1 through A.5.&nbsp; I think we fo=
rgot to talk about A.6, which I am proposing we also remove.&nbsp; Here is =
the entire content of A.6:<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US">A.6.&nbsp; Private Information<=
o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US">&nbsp;&nbsp; Do we want a way t=
o include private information?<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US">I think the intent of this was =
asking if we wanted ability to convey proprietary (rather than private) inf=
ormation in CLUE messages.&nbsp; I haven&#8217;t seen anybody proposing any=
thing specific about this.&nbsp; I think it could be
 addressed when we address extensibility in the protocol.<o:p></o:p></span>=
</p>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US">So I don&#8217;t see any value =
in keeping this A.6 appendix in the framework.&nbsp; Do you agree?<o:p></o:=
p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Regards,<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Mark<o:p></o:p></span></p>
</div>
</body>
</html>

--_000_E8F5F2C7B2623641BD9ABF0B622D726D01C301xmbrcdx11ciscocom_--

From mary.ietf.barnes@gmail.com  Tue Jul 10 06:57:21 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 2D7B321F875C for <clue@ietfa.amsl.com>; Tue, 10 Jul 2012 06:57:21 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: 0
X-Spam-Level: 
X-Spam-Status: No, score=x tagged_above=-999 required=5 tests=[]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 25UBZu5K8Qt7 for <clue@ietfa.amsl.com>; Tue, 10 Jul 2012 06:57:20 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id AD85C21F85F2 for <clue@ietf.org>; Tue, 10 Jul 2012 06:57:12 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so2414488obb.31 for <clue@ietf.org>; Tue, 10 Jul 2012 06:57:40 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:date:message-id:subject:from:to:content-type; bh=wq9DmlpviAA+ataaHbWuBpO8zZdRtks0cjXP91yYfEQ=; b=QZUIfzhU5VhoT1G2rGru6uuKtNCp7UAZxN2bqrLz+CwKX2/fY4ruWH5DLvmc+okVPl NblgrQdK7Nha0nv2w30hSW5bUtO900QBjjPKYVeo4iA6LIL6T/dPeTxvGBOE8AjUEHCN fHrcN+gMq55dZT0iZC38espGiXyrGSanz99j4vXNJV4t9/+Cxy3MXkAxzC3ukbm/pNij tM8e+0195fLJDGNXtRfJH2Crmmr/+RGfwFq0KQOEHNx7yp8f0T9zt46QPIwgjlE+DYJx SeFR/Q5WedOmCBwUp4S/h+vOTE6ZFkUIGZ97NKVa+QeJEUWVJyuxHRYctYpH+3jmVrS1 6JMA==
MIME-Version: 1.0
Received: by 10.182.164.8 with SMTP id ym8mr12875890obb.51.1341928660007; Tue, 10 Jul 2012 06:57:40 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Tue, 10 Jul 2012 06:57:38 -0700 (PDT)
Date: Tue, 10 Jul 2012 08:57:38 -0500
Message-ID: <CAHBDyN6xnYjwU73C=hrNfB_oLG8c84=v1g1okw+AKSugHJ=_sw@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/mixed; boundary=e89a8f646a071802da04c47a1dda
Subject: [clue] Today's design team meeting
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 10 Jul 2012 13:57:21 -0000

--e89a8f646a071802da04c47a1dda
Content-Type: multipart/alternative; boundary=e89a8f646a071802cd04c47a1dd8

--e89a8f646a071802cd04c47a1dd8
Content-Type: text/plain; charset=ISO-8859-1

HI all,

The plan for today's meeting was to go over the presentations (which were
expected to be made available by noon yesterday).  The chairs have received
one presentations (Use Cases) this morning, so we can briefly go over that
today if people are available.  I understand that folks are working against
draft deadlines, but we really need to have the material prepared well
before the meeting.

I'm attaching Roni's presentation.

Mary.

--e89a8f646a071802cd04c47a1dd8
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

HI all,<div><br></div><div>The plan for today&#39;s meeting was to go over =
the presentations (which were expected to be made available by noon yesterd=
ay). =A0The chairs have received one presentations (Use Cases) this morning=
, so we can briefly go over that today if people are available. =A0I unders=
tand that folks are working against draft deadlines, but we really need to =
have the material prepared well before the meeting. =A0</div>
<div><br></div><div>I&#39;m attaching Roni&#39;s presentation.</div><div><b=
r></div><div>Mary.=A0</div>

--e89a8f646a071802cd04c47a1dd8--
--e89a8f646a071802da04c47a1dda
Content-Type: application/vnd.ms-powerpoint; name="use cases tutorial.ppt"
Content-Disposition: attachment; filename="use cases tutorial.ppt"
Content-Transfer-Encoding: base64
X-Attachment-Id: f_h4h1o2sk0
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--e89a8f646a071802da04c47a1dda--

From mary.ietf.barnes@gmail.com  Tue Jul 10 16:29:56 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 3491B21F85C2 for <clue@ietfa.amsl.com>; Tue, 10 Jul 2012 16:29:56 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.534
X-Spam-Level: 
X-Spam-Status: No, score=-103.534 tagged_above=-999 required=5 tests=[AWL=0.064, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id KP8NFOHo8xQR for <clue@ietfa.amsl.com>; Tue, 10 Jul 2012 16:29:55 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id 660C611E80A3 for <clue@ietf.org>; Tue, 10 Jul 2012 16:29:55 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so641709obb.31 for <clue@ietf.org>; Tue, 10 Jul 2012 16:30:24 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :content-type; bh=+3aLcbC6IagrQ4JCGgwv7Gg6IMKcpkVwBElc8/rEDvU=; b=r+gssw0vlDnnwEle7GPG75S+wnH0cH6tXYl+NUBgem5I/MFy0hw8a+kF6/Bm7BNPlG aRMpDIgWmaIujN3iQ8N64BqIjMmAsyO03z02PYxvO1wwACwLSGKit1l2+jl50ENVutAE nRo6ddzkNSJQrD+idS0Osu2EyRXrRSVeVH43adZQQkmpX/beyz6QkCmEhSM4CLLpmyXF QAzeUb0P/Of/XBl+OLxk8thWwOEiBh4LFCg+UKzRZFH1ew8b9+MCEb+J0nEpqACpcerS FjaHAUBRod4Lkz0swaBB/nGLBFvflBGoC36mdPWoGswJxz/1XrlmLE8hSVe9+dfAnB7I ZOqA==
MIME-Version: 1.0
Received: by 10.60.3.202 with SMTP id e10mr48747025oee.52.1341963024111; Tue, 10 Jul 2012 16:30:24 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Tue, 10 Jul 2012 16:30:24 -0700 (PDT)
In-Reply-To: <CAHBDyN6xnYjwU73C=hrNfB_oLG8c84=v1g1okw+AKSugHJ=_sw@mail.gmail.com>
References: <CAHBDyN6xnYjwU73C=hrNfB_oLG8c84=v1g1okw+AKSugHJ=_sw@mail.gmail.com>
Date: Tue, 10 Jul 2012 18:30:24 -0500
Message-ID: <CAHBDyN5ommChSe_+aRq4CbMYsVqDR1wa+YaZFtYUYpr05nU+=A@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=e89a8ff1ce4c5a973304c4821d59
Subject: Re: [clue] Today's design team meeting
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 10 Jul 2012 23:29:56 -0000

--e89a8ff1ce4c5a973304c4821d59
Content-Type: text/plain; charset=ISO-8859-1

Sorry for the very short notice for today's meeting.  We appreciate those
that were able to make it, including:
Brian Baldino, Mary Barnes, Roni Even, Rob Hansen, Jonathan Lennox and John
Leslie.

We reviewed Roni's chart package for the use cases.  It was suggested to
weave in Stephan's example that highlights why we need the "axis of
capture".  Also, it was suggested to expand the multi-party example.  Paul
noted offline that some pictures would be helpful (and likely less words
needed as a result).

The plan is that we need the first draft for all the other presentations by
next Monday (noon Pacific on July 16th).  I will upload them on the wiki so
that everyone can review ahead of time.   One important point highlighted
on the call was that it wasn't clear who in each of the teams was
responsible for the charts. Thus, here is an updated list, indicating who
should be the "lead" in terms of pulling together the material, getting
input and getting it reviewed by the "team" and then getting the charts to
the chairs on time.   Note, that the "lead" may not necessarily be the one
to present at the tutorial, but likely will be, so if the leads have any
concerns about this, please contact me ASAP.

1) Introduction to telepresence  (Allyn (lead), Steve) (10 min)

2) Example telepresence scenarios  (Roni (lead), Allyn )  (15 min)

3) Introduction to the CLUE work (Mary (lead), Paul, Allyn, Steve) (5 min)

4) High level introduction of framework  (Allyn, Andy, Brian, Steve
(lead))  (15 min)

5) One or two use cases as examples of how the CLUE framework is
realized - showing how existing protocols (e.g., SDP, RTP) are
integral to the solution along with additional signaling for CLUE.
(Rob (lead), Jonathan, Roni, Andy, Allyn, Espen)  (20 min)

6) Q&A (15 min)


Thanks,
Mary.

On Tue, Jul 10, 2012 at 8:57 AM, Mary Barnes <mary.ietf.barnes@gmail.com>wrote:

> HI all,
>
> The plan for today's meeting was to go over the presentations (which were
> expected to be made available by noon yesterday).  The chairs have received
> one presentations (Use Cases) this morning, so we can briefly go over that
> today if people are available.  I understand that folks are working against
> draft deadlines, but we really need to have the material prepared well
> before the meeting.
>
> I'm attaching Roni's presentation.
>
> Mary.
>

--e89a8ff1ce4c5a973304c4821d59
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

Sorry for the very short notice for today&#39;s meeting. =A0We appreciate t=
hose that were able to make it, including:<div>Brian Baldino, Mary Barnes, =
Roni Even, Rob Hansen, Jonathan Lennox and John Leslie. =A0=A0</div><div><b=
r></div>
<div>We reviewed Roni&#39;s chart package for the use cases. =A0It was sugg=
ested to weave in Stephan&#39;s example that highlights why we need the &qu=
ot;axis of capture&quot;. =A0Also, it was suggested to expand the multi-par=
ty example. =A0Paul noted offline that some pictures would be helpful (and =
likely less words needed as a result).</div>
<div><br></div><div>The plan is that we need the first draft for all the ot=
her presentations by next Monday (noon Pacific on July 16th). =A0I will upl=
oad them on the wiki so that everyone can review ahead of time. =A0 One imp=
ortant point highlighted on the call was that it wasn&#39;t clear who in ea=
ch of the teams was responsible for the charts. Thus, here is an updated li=
st, indicating who should be the &quot;lead&quot; in terms of pulling toget=
her the material, getting input and getting it reviewed by the &quot;team&q=
uot; and then getting the charts to the chairs on time. =A0 Note, that the =
&quot;lead&quot; may not necessarily be the one to present at the tutorial,=
 but likely will be, so if the leads have any concerns about this, please c=
ontact me ASAP.</div>
<div><br></div><div><div>1) Introduction to telepresence =A0(Allyn (lead), =
Steve) (10 min)</div><div><br></div><div>2) Example telepresence scenarios =
=A0(Roni (lead),=A0Allyn ) =A0(15 min)</div><div><br></div><div>3) Introduc=
tion to the CLUE work (Mary (lead), Paul, Allyn, Steve) (5 min)</div>
<div><br></div><div>4) High level introduction of framework =A0(Allyn, Andy=
, Brian, Steve (lead))=A0 (15 min)</div><div><br></div><div>5) One or two u=
se cases as examples of how the CLUE framework is</div><div>realized - show=
ing how existing protocols (e.g., SDP, RTP) are</div>
<div>integral to the solution along with additional signaling for CLUE.</di=
v><div>(Rob (lead), Jonathan, Roni, Andy, Allyn, Espen) =A0(20 min)</div><d=
iv><br></div><div>6) Q&amp;A (15 min)</div></div><div><br></div><div><br>
</div><div>Thanks,</div><div>Mary.=A0<br><br><div class=3D"gmail_quote">On =
Tue, Jul 10, 2012 at 8:57 AM, Mary Barnes <span dir=3D"ltr">&lt;<a href=3D"=
mailto:mary.ietf.barnes@gmail.com" target=3D"_blank">mary.ietf.barnes@gmail=
.com</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">HI all,<div><br></div><div>The plan for toda=
y&#39;s meeting was to go over the presentations (which were expected to be=
 made available by noon yesterday). =A0The chairs have received one present=
ations (Use Cases) this morning, so we can briefly go over that today if pe=
ople are available. =A0I understand that folks are working against draft de=
adlines, but we really need to have the material prepared well before the m=
eeting. =A0</div>

<div><br></div><div>I&#39;m attaching Roni&#39;s presentation.</div><span c=
lass=3D"HOEnZb"><font color=3D"#888888"><div><br></div><div>Mary.=A0</div>
</font></span></blockquote></div><br></div>

--e89a8ff1ce4c5a973304c4821d59--

From mary.ietf.barnes@gmail.com  Tue Jul 10 16:38:52 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 34E6611E80FE for <clue@ietfa.amsl.com>; Tue, 10 Jul 2012 16:38:52 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.537
X-Spam-Level: 
X-Spam-Status: No, score=-103.537 tagged_above=-999 required=5 tests=[AWL=0.061, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id N+dqeBNZhgt4 for <clue@ietfa.amsl.com>; Tue, 10 Jul 2012 16:38:51 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id C77F811E80E9 for <clue@ietf.org>; Tue, 10 Jul 2012 16:38:47 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so651778obb.31 for <clue@ietf.org>; Tue, 10 Jul 2012 16:39:16 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :content-type; bh=JD/A9rhOithA759gHGx74gB4OA0vclxClKt8WXfKeYg=; b=KHUGSaOM2LaCvTWfcePDtheCA6lKNLdA0xydT7kk36o1MkYBLWQgw/5uLYXj0nsEAd 9b44ZjoDN8j8o3siLkY5aI3zqUqddFavGAob3ju7SbWfU8Zc98Sq6oThW/0qj4ssUpS9 USWIzLZc1LC7NYdzUftCqlFCp7sAq5vrFcZr3zqwZEaGE8nJu7zM+lgbmGsjz2w8f6pF ApwM9puww48Y/mkFxOq6lCPVUQ3Fdys9INBYMChef4w+fv2vmkdVTWIl8zxwjP7yjcBz l+GiFkEeeDZdigCMVMvPEV7+tljihFRtsKjRqgqFoxwKLEwnwtzcfHawIS5vNdgbSlhF lHsA==
MIME-Version: 1.0
Received: by 10.182.72.9 with SMTP id z9mr43313712obu.5.1341963556467; Tue, 10 Jul 2012 16:39:16 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Tue, 10 Jul 2012 16:39:16 -0700 (PDT)
In-Reply-To: <CAHBDyN58K3Oy=Ek4Bx6xeD-+V+wqEND1YFiHq7jFDwTsW4tYeQ@mail.gmail.com>
References: <CAHBDyN58K3Oy=Ek4Bx6xeD-+V+wqEND1YFiHq7jFDwTsW4tYeQ@mail.gmail.com>
Date: Tue, 10 Jul 2012 18:39:16 -0500
Message-ID: <CAHBDyN5uBVNEvqd8oX4rtbVyHpxypAxhauE3Zy_D772etvUnkQ@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=f46d04462fbc15b55704c4823d47
Subject: [clue] Fwd: Reminder: "Telepresence Tutorial" @ IETF-84 (Please RSVP)
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 10 Jul 2012 23:38:52 -0000

--f46d04462fbc15b55704c4823d47
Content-Type: text/plain; charset=ISO-8859-1

FYI... at this point there are 24 registered attendees and many of you all
(i.e., CLUE folks) have not RSVPed. It would be good to do so just to
ensure we have a large enough room.

Thanks,
Mary.

---------- Forwarded message ----------
From: Mary Barnes <mary.ietf.barnes@gmail.com>
Date: Tue, Jul 10, 2012 at 6:37 PM
Subject: Reminder: "Telepresence Tutorial" @ IETF-84 (Please RSVP)
To: rai@ietf.org, mmusic@ietf.org, avt@ietf.org, rtcweb@ietf.org


Hi all,

Apologies to the many of you that are receiving this multiple times.
Unfortunately, the RAI list is not a superset of participants in WGs
that might be interested in this.  Folks that aren't on the RAI list
might want to subscribe here:
https://www.ietf.org/mailman/listinfo/rai

Please note the important update below with regards to (no) lunch.

We are planning a lunchtime tutorial on Monday, July 30th.  The
primary objective is to provide more background on telepresence as
well as an update of the work in CLUE to the broader RAI and IETF
community.  This will hopefully facilitate the process of completing
the CLUE protocol work as it gets broader community review.

Here's the proposed outline:
1) Introduction to telepresence
2) Example telepresence scenarios
3) Introduction to the CLUE work
4) High level introduction of framework
5) One or two use cases as examples of how the CLUE framework is
realized - showing how existing protocols (e.g., SDP, RTP) are
integral to the solution along
with additional signaling for CLUE.

We have reserved a room for around 50 and attendance will be FCFS, so
 please RSVP by Friday, July 13th, 2012 (5pm Pacific)
http://www.doodle.com/mzu3nmdeehkxkiys

**Important update*: * Please note that we do not have a sponsor for lunch,
thus folks will have to grab something before the tutorial (sorry, I
tried).  However, we will have some cookies and veggies/fruit available so
folks will have something to munch.

Please send any questions/comments to me (or to the CLUE WG mailing list)
 rather than reply all.

Regards,
Mary
CLUE WG co-chair

--f46d04462fbc15b55704c4823d47
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

FYI... at this point there are 24 registered attendees and many of you all =
(i.e., CLUE folks) have not RSVPed. It would be good to do so just to ensur=
e we have a large enough room.=A0<div><br></div><div>Thanks,</div><div>Mary=
.<br>
<br><div class=3D"gmail_quote">---------- Forwarded message ----------<br>F=
rom: <b class=3D"gmail_sendername">Mary Barnes</b> <span dir=3D"ltr">&lt;<a=
 href=3D"mailto:mary.ietf.barnes@gmail.com">mary.ietf.barnes@gmail.com</a>&=
gt;</span><br>
Date: Tue, Jul 10, 2012 at 6:37 PM<br>Subject: Reminder: &quot;Telepresence=
 Tutorial&quot; @ IETF-84 (Please RSVP)<br>To: <a href=3D"mailto:rai@ietf.o=
rg">rai@ietf.org</a>, <a href=3D"mailto:mmusic@ietf.org">mmusic@ietf.org</a=
>, <a href=3D"mailto:avt@ietf.org">avt@ietf.org</a>, <a href=3D"mailto:rtcw=
eb@ietf.org">rtcweb@ietf.org</a><br>
<br><br><div class=3D"gmail_quote">Hi all,<br>
<br>
Apologies to the many of you that are receiving this multiple times.<br>
Unfortunately, the RAI list is not a superset of participants in WGs<br>
that might be interested in this. =A0Folks that aren&#39;t on the RAI list<=
br>
might want to subscribe here:<br>
<a href=3D"https://www.ietf.org/mailman/listinfo/rai" target=3D"_blank">htt=
ps://www.ietf.org/mailman/listinfo/rai</a></div><div class=3D"gmail_quote">=
<br></div><div class=3D"gmail_quote">Please note the important update below=
 with regards to (no) lunch.=A0<br>


<div><div><br>
We are planning a lunchtime tutorial on Monday, July 30th. =A0The<br>
primary objective is to provide more background on telepresence as<br>
well as an update of the work in CLUE to the broader RAI and IETF<br>
community. =A0This will hopefully facilitate the process of completing<br>
the CLUE protocol work as it gets broader community review.<br>
<br>
Here&#39;s the proposed outline:<br>
1) Introduction to telepresence<br>
2) Example telepresence scenarios<br>
3) Introduction to the CLUE work<br>
4) High level introduction of framework<br>
5) One or two use cases as examples of how the CLUE framework is<br>
realized - showing how existing protocols (e.g., SDP, RTP) are<br>
integral to the solution along<br>
with additional signaling for CLUE.<br>
<br>
We have reserved a room for around 50 and attendance will be FCFS, so =A0pl=
ease RSVP by=A0Friday, July 13th, 2012 (5pm Pacific)<br>
<a href=3D"http://www.doodle.com/mzu3nmdeehkxkiys" target=3D"_blank">http:/=
/www.doodle.com/mzu3nmdeehkxkiys</a></div><div><br></div><div><b>*Important=
 update*: </b>=A0Please note that we do not have a sponsor for lunch, thus =
folks will have to grab something before the tutorial (sorry, I tried). =A0=
However, we will have some cookies and veggies/fruit available so folks wil=
l have something to munch.=A0<br>


<br>
</div></div>Please send any questions/comments to me (or to the CLUE WG mai=
ling=A0list) =A0rather than reply all.<br>
<div><div><br>
Regards,<br>
Mary<br>
CLUE WG co-chair<br>
</div></div></div><br>
</div><br></div>

--f46d04462fbc15b55704c4823d47--

From espeberg@cisco.com  Wed Jul 11 09:33:22 2012
Return-Path: <espeberg@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 2A57121F84F4 for <clue@ietfa.amsl.com>; Wed, 11 Jul 2012 09:33:22 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 4T2Jhs-WXobP for <clue@ietfa.amsl.com>; Wed, 11 Jul 2012 09:33:21 -0700 (PDT)
Received: from rcdn-iport-3.cisco.com (rcdn-iport-3.cisco.com [173.37.86.74]) by ietfa.amsl.com (Postfix) with ESMTP id 3F23A21F84EC for <clue@ietf.org>; Wed, 11 Jul 2012 09:33:21 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=espeberg@cisco.com; l=6480; q=dns/txt; s=iport; t=1342024432; x=1343234032; h=from:to:subject:date:message-id:references:in-reply-to: content-transfer-encoding:mime-version; bh=p+94iKbHETNDp3XKDdlVnfZSxGA4ywlXoKsD19qIJRg=; b=FFgVsfOQHPlC5MNEjxzw5IOP+vk5NLHMnIP6Dzl/8zkgPrULP+MwFbdw nZ2DinJJQXibPo679oP//sPNe8144L8JMG7CQwHYUALqL4Vnpovh+Zea9 yXLuUBt/luDg1bBm+s5chQXYurztTM0siDkBVklUC10M9TFdIV7XVQV3x c=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av8EALSp/U+tJXG8/2dsb2JhbAA7CrdrgQeCIAEBAQMBAQEBDwFbBAwHBAIBCBEEAQEBCh0HJwsUCQgCBAESCAEZh2UGC501oCCLQBAKhHRgA4gWm0SBZoJfgV8
X-IronPort-AV: E=Sophos;i="4.77,569,1336348800"; d="scan'208";a="100905718"
Received: from rcdn-core2-1.cisco.com ([173.37.113.188]) by rcdn-iport-3.cisco.com with ESMTP; 11 Jul 2012 16:33:52 +0000
Received: from xhc-aln-x04.cisco.com (xhc-aln-x04.cisco.com [173.36.12.78]) by rcdn-core2-1.cisco.com (8.14.5/8.14.5) with ESMTP id q6BGXp8J002981 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Wed, 11 Jul 2012 16:33:51 GMT
Received: from xmb-rcd-x11.cisco.com ([169.254.1.95]) by xhc-aln-x04.cisco.com ([173.36.12.78]) with mapi id 14.02.0298.004; Wed, 11 Jul 2012 11:33:51 -0500
From: "Espen Berger (espeberg)" <espeberg@cisco.com>
To: "Duckworth, Mark" <Mark.Duckworth@polycom.com>, "clue@ietf.org" <clue@ietf.org>
Thread-Topic: [clue] Framework scene description attribute update
Thread-Index: Ac1YlqyH76Ozm5WWRAu8SRcjxNlBiQAK8s8AAAIvioAAAS10AAAeIbwAACRBMIAAP2PQAAEqr2fg
Date: Wed, 11 Jul 2012 16:33:50 +0000
Message-ID: <E8F5F2C7B2623641BD9ABF0B622D726D01D13E@xmb-rcd-x11.cisco.com>
References: <44C6B6B2D0CF424AA90B6055548D7A6102FE035F38@CRPMBOXPRD01.polycom.com> <4FF210B4.2040809@alum.mit.edu> <44C6B6B2D0CF424AA90B6055548D7A6102FE035F86@CRPMBOXPRD01.polycom.com> <4FF22746.2090909@alum.mit.edu> <44C6B6B2D0CF424AA90B6055548D7A6102FE03605E@CRPMBOXPRD01.polycom.com> <7F2072F1E0DE894DA4B517B93C6A05853405AF417B@ESESSCMS0356.eemea.ericsson.se> <44C6B6B2D0CF424AA90B6055548D7A6102FE1439A9@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A6102FE1439A9@CRPMBOXPRD01.polycom.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.61.110.59]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19032.004
x-tm-as-result: No--64.700300-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] Framework scene description attribute update
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 11 Jul 2012 16:33:22 -0000

I suggest we add the description attribute to the capture, and not only to =
the capture-scene.=20

Multiple captures in the same capture-scene can have different descriptions=
. An example could be one capture being the 'main presenter camera' and ano=
ther capture being the 'whiteboard camera', they are in the same capture-sc=
ene since I want them to be described within the same coordinate system to =
express a left to right relationship. =20

Regards=20

-Espen=20


-----Original Message-----
From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Duc=
kworth, Mark
Sent: 5. juli 2012 14:53
To: clue@ietf.org
Subject: Re: [clue] Framework scene description attribute update

Markd> comments below.

> -----Original Message-----
> From: Christer Holmberg [mailto:christer.holmberg@ericsson.com]
> Sent: Wednesday, July 04, 2012 2:38 AM
> To: Duckworth, Mark; clue@ietf.org
> Subject: RE: [clue] Framework scene description attribute update
>=20
>=20
> Hi,
>=20
> Are the following sentences really needed?
>=20
>      "If there is more than one string in the list, then each string=20
> in the list should contain the
>       same description, but in a different language."
>=20
>     "This attribute can contain text in any number of languages."

Markd> I find those sentences useful.  But maybe not strictly necessary.

>=20
> In addition, I would suggest to modify:
>=20
>     "A provider that advertises multiple capture scenes may use=20
> different descriptions to
>    differentiate between them."
>=20
> ...to:
>=20
>    "A provider that adertises multiple capture scenes can provide=20
> descriptions for each
>    of them"

Markd> That is fine with me.

> Regards,
>=20
> Christer
>=20
>=20
> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf=20
> Of Duckworth, Mark
> Sent: 3. hein=E4kuuta 2012 16:20
> To: clue@ietf.org
> Subject: Re: [clue] Framework scene description attribute update
>=20
> Okay, how about this text for the scene description attribute:
>=20
>    Description attribute - list of {<description text>, <language=20
> tag>}
>=20
>    The optional description attribute is a list of human readable text
>    strings which describe the capture scene.  If there is more than one
>    string in the list, then each string in the list should contain the
>    same description, but in a different language.  A provider that
>    advertises multiple capture scenes may use different descriptions to
>    differentiate between them.  This attribute can contain text in any
>    number of languages.
>=20
>    The language tag identifies the language of the corresponding
>    description text.  The possible values for a language tag are the
>    values of the 'Subtag' column for the "Type: language" entries in the
>    "Language Subtag Registry" at [IANA-Lan] originally defined in
>    [RFC5646].  A particular language tag value MUST NOT be used more
>    than once in the description attribute list.
>=20
> Mark
>=20
> > -----Original Message-----
> > From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf=20
> > Of Paul Kyzivat
> > Sent: Monday, July 02, 2012 6:57 PM
> > To: clue@ietf.org
> > Subject: Re: [clue] Framework scene description attribute update
> >
> > On 7/2/12 6:23 PM, Duckworth, Mark wrote:
> > > Hi Paul,
> > > I thought of your way too, which is also fine with me.  I can=20
> > > reword the text
> > to do it that way if people prefer.
> > > Mark
> >
> > In practice I think we want to end up with what Espen commented.
> > But you have to get down into the xml to describe that. The model is=20
> > too high level to talk about it that way. So what I said, or=20
> > anything else that can clearly map to what Espen said works for me.
> >
> >  Thanks,
> >  Paul
> >
> > >> -----Original Message-----
> > >> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On=20
> > >> Behalf Of Paul Kyzivat
> > >> Sent: Monday, July 02, 2012 5:21 PM
> > >> To: clue@ietf.org
> > >> Subject: Re: [clue] Framework scene description attribute update
> > >>
> > >> Mark,
> > >>
> > >> So you are proposing one list of descriptions, and a separate but=20
> > >> parallel list of languages?
> > >>
> > >> That seems clumsy, unnatural, and error prone. Why not a list of=20
> > >> pairs of (description, language)? And I'd be inclined to specify=20
> > >> that a particular language value MUST NOT be specified more than onc=
e.
> > >>
> > >>  Thanks,
> > >>  Paul
> > >>
> > >> On 7/2/12 5:12 PM, Duckworth, Mark wrote:
> > >>> Based on the decision at the interim meeting to support multiple=20
> > >>> description strings, each in a different language, here is my=20
> > >>> proposed updated text for the framework document. I also=20
> > >>> addressed Christians comments=20
> > >>> http://www.ietf.org/mail-archive/web/clue/current/msg01522.html
> > >>>
> > >>> Please review this change.
> > >>>
> > >>> Description attribute
> > >>>
> > >>> The optional description attribute is a list of human readable=20
> > >>> text strings which describes the capture scene. If there is more=20
> > >>> than one string in the list, then each string in the list should=20
> > >>> contain the same description, but in a different language. A=20
> > >>> provider that advertises multiple capture scenes may use=20
> > >>> different descriptions to differentiate between them. This=20
> > >>> attribute can contain text in any number of languages.
> > >>>
> > >>> Description Language attribute
> > >>>
> > >>> This attribute is a list of language tags, to identify the=20
> > >>> language of the corresponding description attribute text. The=20
> > >>> number of language tags in this list must be the same as the=20
> > >>> number of strings in the description list. The possible values=20
> > >>> for a language tag are the values of the 'Subtag' column for the
> > >>> "Type: language" entries in the "Language Subtag Registry" at=20
> > >>> [IANA-Lan] originally defined in [RFC5646].
> > >>>
> > >>> Regards,
> > >>>
> > >>> Mark
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

From christer.holmberg@ericsson.com  Wed Jul 11 13:55:48 2012
Return-Path: <christer.holmberg@ericsson.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 554BF11E8142 for <clue@ietfa.amsl.com>; Wed, 11 Jul 2012 13:55:48 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.213
X-Spam-Level: 
X-Spam-Status: No, score=-6.213 tagged_above=-999 required=5 tests=[AWL=0.035,  BAYES_00=-2.599, HELO_EQ_SE=0.35, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id rCjVIoquI5sZ for <clue@ietfa.amsl.com>; Wed, 11 Jul 2012 13:55:47 -0700 (PDT)
Received: from mailgw2.ericsson.se (mailgw2.ericsson.se [193.180.251.37]) by ietfa.amsl.com (Postfix) with ESMTP id E78EF11E813A for <clue@ietf.org>; Wed, 11 Jul 2012 13:55:46 -0700 (PDT)
X-AuditID: c1b4fb25-b7fb66d000003bb6-b9-4ffde871609b
Received: from esessmw0184.eemea.ericsson.se (Unknown_Domain [153.88.253.125]) by mailgw2.ericsson.se (Symantec Mail Security) with SMTP id D3.E3.15286.178EDFF4; Wed, 11 Jul 2012 22:56:17 +0200 (CEST)
Received: from ESESSCMS0356.eemea.ericsson.se ([169.254.1.100]) by esessmw0184.eemea.ericsson.se ([10.2.3.53]) with mapi; Wed, 11 Jul 2012 22:56:17 +0200
From: Christer Holmberg <christer.holmberg@ericsson.com>
To: 'Mary Barnes' <mary.ietf.barnes@gmail.com>, CLUE <clue@ietf.org>
Date: Wed, 11 Jul 2012 22:56:16 +0200
Thread-Topic: [clue] Today's design team meeting
Thread-Index: Ac1e8/1H8ZHVKi1ES+KyCZqyaLNCswAsvB/Q
Message-ID: <7F2072F1E0DE894DA4B517B93C6A058534071B991A@ESESSCMS0356.eemea.ericsson.se>
References: <CAHBDyN6xnYjwU73C=hrNfB_oLG8c84=v1g1okw+AKSugHJ=_sw@mail.gmail.com> <CAHBDyN5ommChSe_+aRq4CbMYsVqDR1wa+YaZFtYUYpr05nU+=A@mail.gmail.com>
In-Reply-To: <CAHBDyN5ommChSe_+aRq4CbMYsVqDR1wa+YaZFtYUYpr05nU+=A@mail.gmail.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: multipart/alternative; boundary="_000_7F2072F1E0DE894DA4B517B93C6A058534071B991AESESSCMS0356e_"
MIME-Version: 1.0
X-Brightmail-Tracker: H4sIAAAAAAAAA+NgFnrMLMWRmVeSWpSXmKPExsUyM+JvrW7hi7/+BjeeiVrsP3WZ2eLz/v3M DkweO2fdZfdYsuQnUwBTFJdNSmpOZllqkb5dAlfG8XnP2Ap+uFVMvLWOuYHxrnUXIweHhICJ xOLZKl2MnECmmMSFe+vZuhi5OIQETjFKrJ71kAnCmcso8XPKdVaQBjYBC4nuf9ogDSICLhJT D05mAwmzCKhKHD8FNkdYQF9i57OvLBAlBhLXVq9mg7CNJDYtvMwEYvMKhEtc3/4Patd0Rolr s0+BJTgFAiVWfZ7GCGIzAh30/dQasDizgLjErSfzmSAOFZBYsuc8M4QtKvHy8T9WiHpRiTvt 6xkh6vMl3n99zQixTFDi5MwnLBMYRWYhGTULSdksJGUQcT2JG1OnsEHY2hLLFr5mhrB1JWb8 O8SCLL6AkX0Vo3BuYmZOermRXmpRZnJxcX6eXnHqJkZgRB3c8lt1B+OdcyKHGKU5WJTEea23 7vEXEkhPLEnNTk0tSC2KLyrNSS0+xMjEwSnVwOh7sWVflm/a0xWaQY4HRB2WdbaV//ed3pnM zfW4vqpAJrnuSk3djr/Ckh7+WjaNhZ6bcjn+8xpP2fiWQSZ75s1Vx16sTQ5YuqPD6ERlm0ad 6wHOzH5h9fuvr/P+D7zx/cQHGd05D65cj96/fGLqq8gDM6Z85g7jqvhUWVeiIPB24UT5U579 7UosxRmJhlrMRcWJAG8CDs92AgAA
Subject: Re: [clue] Today's design team meeting
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 11 Jul 2012 20:55:48 -0000

--_000_7F2072F1E0DE894DA4B517B93C6A058534071B991AESESSCMS0356e_
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable

Hi,

I think the IETF presentation is a good initiative.

A question for clarification regarding 5), though: If we are going to talk =
about how existing protocols, and possibly new ones (additional signalling)=
 are going to be used to implement CLUE use cases, I guess we first need to=
 agree on how it is going to be done. Or?

Regards,

Christer

________________________________
From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Mar=
y Barnes
Sent: 11. hein=E4kuuta 2012 2:30
To: CLUE
Subject: Re: [clue] Today's design team meeting

Sorry for the very short notice for today's meeting.  We appreciate those t=
hat were able to make it, including:
Brian Baldino, Mary Barnes, Roni Even, Rob Hansen, Jonathan Lennox and John=
 Leslie.

We reviewed Roni's chart package for the use cases.  It was suggested to we=
ave in Stephan's example that highlights why we need the "axis of capture".=
  Also, it was suggested to expand the multi-party example.  Paul noted off=
line that some pictures would be helpful (and likely less words needed as a=
 result).

The plan is that we need the first draft for all the other presentations by=
 next Monday (noon Pacific on July 16th).  I will upload them on the wiki s=
o that everyone can review ahead of time.   One important point highlighted=
 on the call was that it wasn't clear who in each of the teams was responsi=
ble for the charts. Thus, here is an updated list, indicating who should be=
 the "lead" in terms of pulling together the material, getting input and ge=
tting it reviewed by the "team" and then getting the charts to the chairs o=
n time.   Note, that the "lead" may not necessarily be the one to present a=
t the tutorial, but likely will be, so if the leads have any concerns about=
 this, please contact me ASAP.

1) Introduction to telepresence  (Allyn (lead), Steve) (10 min)

2) Example telepresence scenarios  (Roni (lead), Allyn )  (15 min)

3) Introduction to the CLUE work (Mary (lead), Paul, Allyn, Steve) (5 min)

4) High level introduction of framework  (Allyn, Andy, Brian, Steve (lead))=
  (15 min)

5) One or two use cases as examples of how the CLUE framework is
realized - showing how existing protocols (e.g., SDP, RTP) are
integral to the solution along with additional signaling for CLUE.
(Rob (lead), Jonathan, Roni, Andy, Allyn, Espen)  (20 min)

6) Q&A (15 min)


Thanks,
Mary.

On Tue, Jul 10, 2012 at 8:57 AM, Mary Barnes <mary.ietf.barnes@gmail.com<ma=
ilto:mary.ietf.barnes@gmail.com>> wrote:
HI all,

The plan for today's meeting was to go over the presentations (which were e=
xpected to be made available by noon yesterday).  The chairs have received =
one presentations (Use Cases) this morning, so we can briefly go over that =
today if people are available.  I understand that folks are working against=
 draft deadlines, but we really need to have the material prepared well bef=
ore the meeting.

I'm attaching Roni's presentation.

Mary.


--_000_7F2072F1E0DE894DA4B517B93C6A058534071B991AESESSCMS0356e_
Content-Type: text/html; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<HTML><HEAD>
<META http-equiv=3DContent-Type content=3D"text/html; charset=3Diso-8859-1"=
>
<META content=3D"MSHTML 6.00.6000.17110" name=3DGENERATOR></HEAD>
<BODY>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D195225120-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2>Hi,</FONT></SPAN></DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D195225120-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2></FONT></SPAN>&nbsp;</DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D195225120-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2>I think the IETF presentation is a good=20
initiative.</FONT></SPAN></DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D195225120-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2></FONT></SPAN>&nbsp;</DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D195225120-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2>A question for clarification regarding 5), though:=
 If we=20
are going to talk about how existing protocols, and possibly new ones=20
(additional signalling)&nbsp;are going to be used to implement CLUE use cas=
es, I=20
guess we first need to agree on how it is going to be done.=20
Or?</FONT></SPAN></DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D195225120-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2></FONT></SPAN>&nbsp;</DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D195225120-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2>Regards,</FONT></SPAN></DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D195225120-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2></FONT></SPAN>&nbsp;</DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D195225120-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2>Christer</FONT></SPAN></DIV><BR>
<DIV class=3DOutlookMessageHeader lang=3Den-us dir=3Dltr align=3Dleft>
<HR tabIndex=3D-1>
<FONT face=3DTahoma size=3D2><B>From:</B> clue-bounces@ietf.org=20
[mailto:clue-bounces@ietf.org] <B>On Behalf Of </B>Mary Barnes<BR><B>Sent:<=
/B>=20
11. hein=E4kuuta 2012 2:30<BR><B>To:</B> CLUE<BR><B>Subject:</B> Re: [clue]=
=20
Today's design team meeting<BR></FONT><BR></DIV>
<DIV></DIV>Sorry for the very short notice for today's meeting. &nbsp;We=20
appreciate those that were able to make it, including:
<DIV>Brian Baldino, Mary Barnes, Roni Even, Rob Hansen, Jonathan Lennox and=
 John=20
Leslie. &nbsp;&nbsp;</DIV>
<DIV><BR></DIV>
<DIV>We reviewed Roni's chart package for the use cases. &nbsp;It was sugge=
sted=20
to weave in Stephan's example that highlights why we need the "axis of capt=
ure".=20
&nbsp;Also, it was suggested to expand the multi-party example. &nbsp;Paul =
noted=20
offline that some pictures would be helpful (and likely less words needed a=
s a=20
result).</DIV>
<DIV><BR></DIV>
<DIV>The plan is that we need the first draft for all the other presentatio=
ns by=20
next Monday (noon Pacific on July 16th). &nbsp;I will upload them on the wi=
ki so=20
that everyone can review ahead of time. &nbsp; One important point highligh=
ted=20
on the call was that it wasn't clear who in each of the teams was responsib=
le=20
for the charts. Thus, here is an updated list, indicating who should be the=
=20
"lead" in terms of pulling together the material, getting input and getting=
 it=20
reviewed by the "team" and then getting the charts to the chairs on time. &=
nbsp;=20
Note, that the "lead" may not necessarily be the one to present at the tuto=
rial,=20
but likely will be, so if the leads have any concerns about this, please co=
ntact=20
me ASAP.</DIV>
<DIV><BR></DIV>
<DIV>
<DIV>1) Introduction to telepresence &nbsp;(Allyn (lead), Steve) (10 min)</=
DIV>
<DIV><BR></DIV>
<DIV>2) Example telepresence scenarios &nbsp;(Roni (lead),&nbsp;Allyn )=20
&nbsp;(15 min)</DIV>
<DIV><BR></DIV>
<DIV>3) Introduction to the CLUE work (Mary (lead), Paul, Allyn, Steve) (5=
=20
min)</DIV>
<DIV><BR></DIV>
<DIV>4) High level introduction of framework &nbsp;(Allyn, Andy, Brian, Ste=
ve=20
(lead))&nbsp; (15 min)</DIV>
<DIV><BR></DIV>
<DIV>5) One or two use cases as examples of how the CLUE framework is</DIV>
<DIV>realized - showing how existing protocols (e.g., SDP, RTP) are</DIV>
<DIV>integral to the solution along with additional signaling for CLUE.</DI=
V>
<DIV>(Rob (lead), Jonathan, Roni, Andy, Allyn, Espen) &nbsp;(20 min)</DIV>
<DIV><BR></DIV>
<DIV>6) Q&amp;A (15 min)</DIV></DIV>
<DIV><BR></DIV>
<DIV><BR></DIV>
<DIV>Thanks,</DIV>
<DIV>Mary.&nbsp;<BR><BR>
<DIV class=3Dgmail_quote>On Tue, Jul 10, 2012 at 8:57 AM, Mary Barnes <SPAN=
=20
dir=3Dltr>&lt;<A href=3D"mailto:mary.ietf.barnes@gmail.com"=20
target=3D_blank>mary.ietf.barnes@gmail.com</A>&gt;</SPAN> wrote:<BR>
<BLOCKQUOTE class=3Dgmail_quote=20
style=3D"PADDING-LEFT: 1ex; MARGIN: 0px 0px 0px 0.8ex; BORDER-LEFT: #ccc 1p=
x solid">HI=20
  all,
  <DIV><BR></DIV>
  <DIV>The plan for today's meeting was to go over the presentations (which=
 were=20
  expected to be made available by noon yesterday). &nbsp;The chairs have=20
  received one presentations (Use Cases) this morning, so we can briefly go=
 over=20
  that today if people are available. &nbsp;I understand that folks are wor=
king=20
  against draft deadlines, but we really need to have the material prepared=
 well=20
  before the meeting. &nbsp;</DIV>
  <DIV><BR></DIV>
  <DIV>I'm attaching Roni's presentation.</DIV><SPAN class=3DHOEnZb><FONT=20
  color=3D#888888>
  <DIV><BR></DIV>
  <DIV>Mary.&nbsp;</DIV></FONT></SPAN></BLOCKQUOTE></DIV><BR></DIV></BODY><=
/HTML>

--_000_7F2072F1E0DE894DA4B517B93C6A058534071B991AESESSCMS0356e_--

From mary.ietf.barnes@gmail.com  Wed Jul 11 15:30:51 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 8273611E80D9 for <clue@ietfa.amsl.com>; Wed, 11 Jul 2012 15:30:51 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.538
X-Spam-Level: 
X-Spam-Status: No, score=-103.538 tagged_above=-999 required=5 tests=[AWL=0.060, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id FfF-oI4sCToZ for <clue@ietfa.amsl.com>; Wed, 11 Jul 2012 15:30:50 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id 8AC9A11E80BD for <clue@ietf.org>; Wed, 11 Jul 2012 15:30:48 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so2363378obb.31 for <clue@ietf.org>; Wed, 11 Jul 2012 15:31:19 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=eX2N7wtJag6xG9ghGHNZWmGdsjGFs2m+c3Jmi4wn0oI=; b=trMKwspko8acK24bdOjq6ELcxkcX7d9HjvRAd86JSevr5utBouR9GahbDmajRQPszu AhfMA6ix7jfiack/ws14o7kKCzttmwf/gK6dZu0vkH4hMG6Z2oLq55vIlUos4lCiXFcr o3+kM/mrzyGvZd7GgUT817VA817PS6VmPmndnPrH48z7l7vPyh2ViFkpre14vai0Wowx /iNj0tId7sPnQ7YH3g5gqm55nA+fT9WNFIkCoJ46+fI4RHIhwvoMTqDN4BiPLjA7eZvz iLQGepA0p5sIXC75Tnktt8xKGQqiE1XE1ruCF5R8PruPZmbryCxRc9QjUQuMc5l0KwIC 21Nw==
MIME-Version: 1.0
Received: by 10.182.75.100 with SMTP id b4mr17971518obw.12.1342045879756; Wed, 11 Jul 2012 15:31:19 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Wed, 11 Jul 2012 15:31:19 -0700 (PDT)
In-Reply-To: <7F2072F1E0DE894DA4B517B93C6A058534071B991A@ESESSCMS0356.eemea.ericsson.se>
References: <CAHBDyN6xnYjwU73C=hrNfB_oLG8c84=v1g1okw+AKSugHJ=_sw@mail.gmail.com> <CAHBDyN5ommChSe_+aRq4CbMYsVqDR1wa+YaZFtYUYpr05nU+=A@mail.gmail.com> <7F2072F1E0DE894DA4B517B93C6A058534071B991A@ESESSCMS0356.eemea.ericsson.se>
Date: Wed, 11 Jul 2012 17:31:19 -0500
Message-ID: <CAHBDyN7M3rjV-JoV46RdmYLy7OoCQ3mJj-F3JRwg6MvxNN-vew@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: Christer Holmberg <christer.holmberg@ericsson.com>
Content-Type: multipart/alternative; boundary=14dae93996edef665904c49567f6
Cc: CLUE <clue@ietf.org>
Subject: Re: [clue] Today's design team meeting
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 11 Jul 2012 22:30:51 -0000

--14dae93996edef665904c49567f6
Content-Type: text/plain; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

You are right that details for  item 5 are tenuous at this time.  We will
need to add the caveat that this work is just beginning.  But, I think it's
important that people do understand that we aren't re-inventing the wheel
and will make use of existing RTP, SDP, SIP signaling etc.  I think the
call flow document is a good start at highlighting this.

Regards,
Mary.

On Wed, Jul 11, 2012 at 3:56 PM, Christer Holmberg <
christer.holmberg@ericsson.com> wrote:

> **
> Hi,
>
> I think the IETF presentation is a good initiative.
>
> A question for clarification regarding 5), though: If we are going to tal=
k
> about how existing protocols, and possibly new ones (additional
> signalling) are going to be used to implement CLUE use cases, I guess we
> first need to agree on how it is going to be done. Or?
>
> Regards,
>
> Christer
>
>  ------------------------------
> *From:* clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] *On Behalf
> Of *Mary Barnes
> *Sent:* 11. hein=E4kuuta 2012 2:30
>
> *To:* CLUE
> *Subject:* Re: [clue] Today's design team meeting
>
> Sorry for the very short notice for today's meeting.  We appreciate those
> that were able to make it, including:
> Brian Baldino, Mary Barnes, Roni Even, Rob Hansen, Jonathan Lennox and
> John Leslie.
>
> We reviewed Roni's chart package for the use cases.  It was suggested to
> weave in Stephan's example that highlights why we need the "axis of
> capture".  Also, it was suggested to expand the multi-party example.  Pau=
l
> noted offline that some pictures would be helpful (and likely less words
> needed as a result).
>
> The plan is that we need the first draft for all the other presentations
> by next Monday (noon Pacific on July 16th).  I will upload them on the wi=
ki
> so that everyone can review ahead of time.   One important point
> highlighted on the call was that it wasn't clear who in each of the teams
> was responsible for the charts. Thus, here is an updated list, indicating
> who should be the "lead" in terms of pulling together the material, getti=
ng
> input and getting it reviewed by the "team" and then getting the charts t=
o
> the chairs on time.   Note, that the "lead" may not necessarily be the on=
e
> to present at the tutorial, but likely will be, so if the leads have any
> concerns about this, please contact me ASAP.
>
>  1) Introduction to telepresence  (Allyn (lead), Steve) (10 min)
>
> 2) Example telepresence scenarios  (Roni (lead), Allyn )  (15 min)
>
> 3) Introduction to the CLUE work (Mary (lead), Paul, Allyn, Steve) (5 min=
)
>
> 4) High level introduction of framework  (Allyn, Andy, Brian, Steve
> (lead))  (15 min)
>
> 5) One or two use cases as examples of how the CLUE framework is
> realized - showing how existing protocols (e.g., SDP, RTP) are
> integral to the solution along with additional signaling for CLUE.
> (Rob (lead), Jonathan, Roni, Andy, Allyn, Espen)  (20 min)
>
> 6) Q&A (15 min)
>
>
> Thanks,
> Mary.
>
> On Tue, Jul 10, 2012 at 8:57 AM, Mary Barnes <mary.ietf.barnes@gmail.com>=
wrote:
>
>> HI all,
>>
>> The plan for today's meeting was to go over the presentations (which wer=
e
>> expected to be made available by noon yesterday).  The chairs have recei=
ved
>> one presentations (Use Cases) this morning, so we can briefly go over th=
at
>> today if people are available.  I understand that folks are working agai=
nst
>> draft deadlines, but we really need to have the material prepared well
>> before the meeting.
>>
>> I'm attaching Roni's presentation.
>>
>> Mary.
>>
>
>

--14dae93996edef665904c49567f6
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

You are right that details for =A0item 5 are tenuous at this time. =A0We wi=
ll need to add the caveat that this work is just beginning. =A0But, I think=
 it&#39;s important that people do understand that we aren&#39;t re-inventi=
ng the wheel and will make use of existing RTP, SDP, SIP signaling etc. =A0=
I think the call flow document is a good start at highlighting this. =A0=A0=
<div>
=A0</div><div>Regards,</div><div>Mary.</div><div><br><div class=3D"gmail_qu=
ote">On Wed, Jul 11, 2012 at 3:56 PM, Christer Holmberg <span dir=3D"ltr">&=
lt;<a href=3D"mailto:christer.holmberg@ericsson.com" target=3D"_blank">chri=
ster.holmberg@ericsson.com</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex"><u></u>



<div>
<div dir=3D"ltr" align=3D"left"><span><font face=3D"Arial" color=3D"#0000ff=
">Hi,</font></span></div>
<div dir=3D"ltr" align=3D"left"><span><font face=3D"Arial" color=3D"#0000ff=
"></font></span>=A0</div>
<div dir=3D"ltr" align=3D"left"><span><font face=3D"Arial" color=3D"#0000ff=
">I think the IETF presentation is a good=20
initiative.</font></span></div>
<div dir=3D"ltr" align=3D"left"><span><font face=3D"Arial" color=3D"#0000ff=
"></font></span>=A0</div>
<div dir=3D"ltr" align=3D"left"><span><font face=3D"Arial" color=3D"#0000ff=
">A question for clarification regarding 5), though: If we=20
are going to talk about how existing protocols, and possibly new ones=20
(additional signalling)=A0are going to be used to implement CLUE use cases,=
 I=20
guess we first need to agree on how it is going to be done.=20
Or?</font></span></div>
<div dir=3D"ltr" align=3D"left"><span><font face=3D"Arial" color=3D"#0000ff=
"></font></span>=A0</div>
<div dir=3D"ltr" align=3D"left"><span><font face=3D"Arial" color=3D"#0000ff=
">Regards,</font></span></div>
<div dir=3D"ltr" align=3D"left"><span><font face=3D"Arial" color=3D"#0000ff=
"></font></span>=A0</div>
<div dir=3D"ltr" align=3D"left"><span><font face=3D"Arial" color=3D"#0000ff=
">Christer</font></span></div><br>
<div lang=3D"en-us" dir=3D"ltr" align=3D"left">
<hr>
<font face=3D"Tahoma"><div class=3D"im"><b>From:</b> <a href=3D"mailto:clue=
-bounces@ietf.org" target=3D"_blank">clue-bounces@ietf.org</a>=20
[mailto:<a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank">clue-bou=
nces@ietf.org</a>] <b>On Behalf Of </b>Mary Barnes<br></div><b>Sent:</b>=20
11. hein=E4kuuta 2012 2:30<div class=3D"im"><br><b>To:</b> CLUE<br><b>Subje=
ct:</b> Re: [clue]=20
Today&#39;s design team meeting<br></div></font><br></div><div><div class=
=3D"h5">
<div></div>Sorry for the very short notice for today&#39;s meeting. =A0We=
=20
appreciate those that were able to make it, including:
<div>Brian Baldino, Mary Barnes, Roni Even, Rob Hansen, Jonathan Lennox and=
 John=20
Leslie. =A0=A0</div>
<div><br></div>
<div>We reviewed Roni&#39;s chart package for the use cases. =A0It was sugg=
ested=20
to weave in Stephan&#39;s example that highlights why we need the &quot;axi=
s of capture&quot;.=20
=A0Also, it was suggested to expand the multi-party example. =A0Paul noted=
=20
offline that some pictures would be helpful (and likely less words needed a=
s a=20
result).</div>
<div><br></div>
<div>The plan is that we need the first draft for all the other presentatio=
ns by=20
next Monday (noon Pacific on July 16th). =A0I will upload them on the wiki =
so=20
that everyone can review ahead of time. =A0 One important point highlighted=
=20
on the call was that it wasn&#39;t clear who in each of the teams was respo=
nsible=20
for the charts. Thus, here is an updated list, indicating who should be the=
=20
&quot;lead&quot; in terms of pulling together the material, getting input a=
nd getting it=20
reviewed by the &quot;team&quot; and then getting the charts to the chairs =
on time. =A0=20
Note, that the &quot;lead&quot; may not necessarily be the one to present a=
t the tutorial,=20
but likely will be, so if the leads have any concerns about this, please co=
ntact=20
me ASAP.</div>
<div><br></div>
<div>
<div>1) Introduction to telepresence =A0(Allyn (lead), Steve) (10 min)</div=
>
<div><br></div>
<div>2) Example telepresence scenarios =A0(Roni (lead),=A0Allyn )=20
=A0(15 min)</div>
<div><br></div>
<div>3) Introduction to the CLUE work (Mary (lead), Paul, Allyn, Steve) (5=
=20
min)</div>
<div><br></div>
<div>4) High level introduction of framework =A0(Allyn, Andy, Brian, Steve=
=20
(lead))=A0 (15 min)</div>
<div><br></div>
<div>5) One or two use cases as examples of how the CLUE framework is</div>
<div>realized - showing how existing protocols (e.g., SDP, RTP) are</div>
<div>integral to the solution along with additional signaling for CLUE.</di=
v>
<div>(Rob (lead), Jonathan, Roni, Andy, Allyn, Espen) =A0(20 min)</div>
<div><br></div>
<div>6) Q&amp;A (15 min)</div></div>
<div><br></div>
<div><br></div>
<div>Thanks,</div>
<div>Mary.=A0<br><br>
<div class=3D"gmail_quote">On Tue, Jul 10, 2012 at 8:57 AM, Mary Barnes <sp=
an dir=3D"ltr">&lt;<a href=3D"mailto:mary.ietf.barnes@gmail.com" target=3D"=
_blank">mary.ietf.barnes@gmail.com</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"PADDING-LEFT:1ex;MARGIN:0px 0px =
0px 0.8ex;BORDER-LEFT:#ccc 1px solid">HI=20
  all,
  <div><br></div>
  <div>The plan for today&#39;s meeting was to go over the presentations (w=
hich were=20
  expected to be made available by noon yesterday). =A0The chairs have=20
  received one presentations (Use Cases) this morning, so we can briefly go=
 over=20
  that today if people are available. =A0I understand that folks are workin=
g=20
  against draft deadlines, but we really need to have the material prepared=
 well=20
  before the meeting. =A0</div>
  <div><br></div>
  <div>I&#39;m attaching Roni&#39;s presentation.</div><span><font color=3D=
"#888888">
  <div><br></div>
  <div>Mary.=A0</div></font></span></blockquote></div><br></div></div></div=
></div>
</blockquote></div><br></div>

--14dae93996edef665904c49567f6--

From christer.holmberg@ericsson.com  Wed Jul 11 15:41:49 2012
Return-Path: <christer.holmberg@ericsson.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 1D41C11E80D9 for <clue@ietfa.amsl.com>; Wed, 11 Jul 2012 15:41:49 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.216
X-Spam-Level: 
X-Spam-Status: No, score=-6.216 tagged_above=-999 required=5 tests=[AWL=0.032,  BAYES_00=-2.599, HELO_EQ_SE=0.35, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id hDvbTqLNttc9 for <clue@ietfa.amsl.com>; Wed, 11 Jul 2012 15:41:48 -0700 (PDT)
Received: from mailgw1.ericsson.se (mailgw1.ericsson.se [193.180.251.45]) by ietfa.amsl.com (Postfix) with ESMTP id 7B8D511E80BD for <clue@ietf.org>; Wed, 11 Jul 2012 15:41:47 -0700 (PDT)
X-AuditID: c1b4fb2d-b7f6c6d000001cc5-3e-4ffe014aa2ec
Received: from esessmw0247.eemea.ericsson.se (Unknown_Domain [153.88.253.125]) by mailgw1.ericsson.se (Symantec Mail Security) with SMTP id EE.5A.07365.A410EFF4; Thu, 12 Jul 2012 00:42:18 +0200 (CEST)
Received: from ESESSCMS0356.eemea.ericsson.se ([169.254.1.100]) by esessmw0247.eemea.ericsson.se ([153.88.115.93]) with mapi; Thu, 12 Jul 2012 00:42:18 +0200
From: Christer Holmberg <christer.holmberg@ericsson.com>
To: 'Mary Barnes' <mary.ietf.barnes@gmail.com>
Date: Thu, 12 Jul 2012 00:42:16 +0200
Thread-Topic: [clue] Today's design team meeting
Thread-Index: Ac1ftOT7nJ9DivXLTJacIIZjzBPQxAAAQ6Xw
Message-ID: <7F2072F1E0DE894DA4B517B93C6A058534071B9921@ESESSCMS0356.eemea.ericsson.se>
References: <CAHBDyN6xnYjwU73C=hrNfB_oLG8c84=v1g1okw+AKSugHJ=_sw@mail.gmail.com> <CAHBDyN5ommChSe_+aRq4CbMYsVqDR1wa+YaZFtYUYpr05nU+=A@mail.gmail.com> <7F2072F1E0DE894DA4B517B93C6A058534071B991A@ESESSCMS0356.eemea.ericsson.se> <CAHBDyN7M3rjV-JoV46RdmYLy7OoCQ3mJj-F3JRwg6MvxNN-vew@mail.gmail.com>
In-Reply-To: <CAHBDyN7M3rjV-JoV46RdmYLy7OoCQ3mJj-F3JRwg6MvxNN-vew@mail.gmail.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: multipart/alternative; boundary="_000_7F2072F1E0DE894DA4B517B93C6A058534071B9921ESESSCMS0356e_"
MIME-Version: 1.0
X-Brightmail-Tracker: H4sIAAAAAAAAA+NgFnrPLMWRmVeSWpSXmKPExsUyM+Jvra4X4z9/g5WbhCz2n7rMbPF5/35m ByaPnbPusnssWfKTKYApissmJTUnsyy1SN8ugSvj7c39rAU70itmfX7I1MC4J6yLkYNDQsBE 4v/n4i5GTiBTTOLCvfVsILaQwClGibvXZLsYuYDshYwSjTs2sYLUswlYSHT/0wapERHQkzjd soYVxGYWkJBYdfEDI4jNIqAqcaOpHcwWFtCX2PnsKwtEvYHEtdWr2SBsI4mt/cfYQWxegXCJ 9jNnGCF2rWGSOLLvJFgDp0CgxKyH08BsRqDjvp9awwSxTFzi1pP5TBBHC0gs2XOeGcIWlXj5 +B8rRL2oxJ329YwQ9fkSD69cZIRYJihxcuYTlgmMorOQjJqFpGwWkjKIuJ7EjalT2CBsbYll C18zQ9i6EjP+HWJBFl/AyL6KUTg3MTMnvdxQL7UoM7m4OD9Przh1EyMw0g5u+a27g/HUOZFD jNIcLErivFxJ+/2FBNITS1KzU1MLUovii0pzUosPMTJxcEo1MPbatH1am1Ns+/FDk8+8z3d2 FIQrpq6aMV25NInlmf+l+FnMwcalapZSjvObFI1bunccDP1T2bHywBbdiLY3My5ukpz2WmJu UkeNa/qlnFKVp21/DhsyFjlmLluzMiTx4cTIQL5NjDOnihQ7xXsvarb/M8cwfPvpfgV3k8tB 1Q/5i/tbzzE8VmIpzkg01GIuKk4EAKFRoeaCAgAA
Cc: CLUE <clue@ietf.org>
Subject: Re: [clue] Today's design team meeting
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 11 Jul 2012 22:41:49 -0000

--_000_7F2072F1E0DE894DA4B517B93C6A058534071B9921ESESSCMS0356e_
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable

Hi,

I agree that it is useful to show that we intend to re-use as much as possi=
ble, but that something new will also be needed, without going into the det=
ails.

I think it would also be good to point out that it shall be possible to com=
municate also with non-CLUE entities, and that we need to take that into co=
nsideration when specifying to signaling procedures/protocols.

Regards,

Christer

________________________________
From: Mary Barnes [mailto:mary.ietf.barnes@gmail.com]
Sent: 12. hein=E4kuuta 2012 1:31
To: Christer Holmberg
Cc: CLUE
Subject: Re: [clue] Today's design team meeting

You are right that details for  item 5 are tenuous at this time.  We will n=
eed to add the caveat that this work is just beginning.  But, I think it's =
important that people do understand that we aren't re-inventing the wheel a=
nd will make use of existing RTP, SDP, SIP signaling etc.  I think the call=
 flow document is a good start at highlighting this.

Regards,
Mary.

On Wed, Jul 11, 2012 at 3:56 PM, Christer Holmberg <christer.holmberg@erics=
son.com<mailto:christer.holmberg@ericsson.com>> wrote:
Hi,

I think the IETF presentation is a good initiative.

A question for clarification regarding 5), though: If we are going to talk =
about how existing protocols, and possibly new ones (additional signalling)=
 are going to be used to implement CLUE use cases, I guess we first need to=
 agree on how it is going to be done. Or?

Regards,

Christer

________________________________
From: clue-bounces@ietf.org<mailto:clue-bounces@ietf.org> [mailto:clue-boun=
ces@ietf.org<mailto:clue-bounces@ietf.org>] On Behalf Of Mary Barnes
Sent: 11. hein=E4kuuta 2012 2:30

To: CLUE
Subject: Re: [clue] Today's design team meeting

Sorry for the very short notice for today's meeting.  We appreciate those t=
hat were able to make it, including:
Brian Baldino, Mary Barnes, Roni Even, Rob Hansen, Jonathan Lennox and John=
 Leslie.

We reviewed Roni's chart package for the use cases.  It was suggested to we=
ave in Stephan's example that highlights why we need the "axis of capture".=
  Also, it was suggested to expand the multi-party example.  Paul noted off=
line that some pictures would be helpful (and likely less words needed as a=
 result).

The plan is that we need the first draft for all the other presentations by=
 next Monday (noon Pacific on July 16th).  I will upload them on the wiki s=
o that everyone can review ahead of time.   One important point highlighted=
 on the call was that it wasn't clear who in each of the teams was responsi=
ble for the charts. Thus, here is an updated list, indicating who should be=
 the "lead" in terms of pulling together the material, getting input and ge=
tting it reviewed by the "team" and then getting the charts to the chairs o=
n time.   Note, that the "lead" may not necessarily be the one to present a=
t the tutorial, but likely will be, so if the leads have any concerns about=
 this, please contact me ASAP.

1) Introduction to telepresence  (Allyn (lead), Steve) (10 min)

2) Example telepresence scenarios  (Roni (lead), Allyn )  (15 min)

3) Introduction to the CLUE work (Mary (lead), Paul, Allyn, Steve) (5 min)

4) High level introduction of framework  (Allyn, Andy, Brian, Steve (lead))=
  (15 min)

5) One or two use cases as examples of how the CLUE framework is
realized - showing how existing protocols (e.g., SDP, RTP) are
integral to the solution along with additional signaling for CLUE.
(Rob (lead), Jonathan, Roni, Andy, Allyn, Espen)  (20 min)

6) Q&A (15 min)


Thanks,
Mary.

On Tue, Jul 10, 2012 at 8:57 AM, Mary Barnes <mary.ietf.barnes@gmail.com<ma=
ilto:mary.ietf.barnes@gmail.com>> wrote:
HI all,

The plan for today's meeting was to go over the presentations (which were e=
xpected to be made available by noon yesterday).  The chairs have received =
one presentations (Use Cases) this morning, so we can briefly go over that =
today if people are available.  I understand that folks are working against=
 draft deadlines, but we really need to have the material prepared well bef=
ore the meeting.

I'm attaching Roni's presentation.

Mary.



--_000_7F2072F1E0DE894DA4B517B93C6A058534071B9921ESESSCMS0356e_
Content-Type: text/html; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<HTML><HEAD>
<META http-equiv=3DContent-Type content=3D"text/html; charset=3Diso-8859-1"=
>
<META content=3D"MSHTML 6.00.6000.17110" name=3DGENERATOR></HEAD>
<BODY>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D376543822-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2>Hi,</FONT></SPAN></DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D376543822-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2></FONT></SPAN>&nbsp;</DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D376543822-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2>I agree that it is useful to show that we intend t=
o re-use=20
as much as possible, but that something new&nbsp;will also be needed, witho=
ut=20
going into the details. </FONT></SPAN></DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D376543822-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2></FONT></SPAN>&nbsp;</DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D376543822-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2>I think it would also be good to point out that&nb=
sp;it=20
shall&nbsp;be&nbsp;possible to communicate also with non-CLUE entities, and=
 that=20
we need to take that into consideration when specifying to signaling=20
procedures/protocols.</FONT></SPAN></DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D376543822-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2></FONT></SPAN>&nbsp;</DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D376543822-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2>Regards,</FONT></SPAN></DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D376543822-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2></FONT></SPAN>&nbsp;</DIV>
<DIV dir=3Dltr align=3Dleft><SPAN class=3D376543822-11072012><FONT face=3DA=
rial=20
color=3D#0000ff size=3D2>Christer</FONT></SPAN></DIV><BR>
<DIV class=3DOutlookMessageHeader lang=3Den-us dir=3Dltr align=3Dleft>
<HR tabIndex=3D-1>
<FONT face=3DTahoma size=3D2><B>From:</B> Mary Barnes=20
[mailto:mary.ietf.barnes@gmail.com] <BR><B>Sent:</B> 12. hein=E4kuuta 2012=
=20
1:31<BR><B>To:</B> Christer Holmberg<BR><B>Cc:</B> CLUE<BR><B>Subject:</B> =
Re:=20
[clue] Today's design team meeting<BR></FONT><BR></DIV>
<DIV></DIV>You are right that details for &nbsp;item 5 are tenuous at this =
time.=20
&nbsp;We will need to add the caveat that this work is just beginning.=20
&nbsp;But, I think it's important that people do understand that we aren't=
=20
re-inventing the wheel and will make use of existing RTP, SDP, SIP signalin=
g=20
etc. &nbsp;I think the call flow document is a good start at highlighting t=
his.=20
&nbsp;&nbsp;
<DIV>&nbsp;</DIV>
<DIV>Regards,</DIV>
<DIV>Mary.</DIV>
<DIV><BR>
<DIV class=3Dgmail_quote>On Wed, Jul 11, 2012 at 3:56 PM, Christer Holmberg=
 <SPAN=20
dir=3Dltr>&lt;<A href=3D"mailto:christer.holmberg@ericsson.com"=20
target=3D_blank>christer.holmberg@ericsson.com</A>&gt;</SPAN> wrote:<BR>
<BLOCKQUOTE class=3Dgmail_quote=20
style=3D"PADDING-LEFT: 1ex; MARGIN: 0px 0px 0px 0.8ex; BORDER-LEFT: #ccc 1p=
x solid"><U></U>
  <DIV>
  <DIV dir=3Dltr align=3Dleft><SPAN><FONT face=3DArial=20
  color=3D#0000ff>Hi,</FONT></SPAN></DIV>
  <DIV dir=3Dltr align=3Dleft><SPAN><FONT face=3DArial=20
  color=3D#0000ff></FONT></SPAN>&nbsp;</DIV>
  <DIV dir=3Dltr align=3Dleft><SPAN><FONT face=3DArial color=3D#0000ff>I th=
ink the IETF=20
  presentation is a good initiative.</FONT></SPAN></DIV>
  <DIV dir=3Dltr align=3Dleft><SPAN><FONT face=3DArial=20
  color=3D#0000ff></FONT></SPAN>&nbsp;</DIV>
  <DIV dir=3Dltr align=3Dleft><SPAN><FONT face=3DArial color=3D#0000ff>A qu=
estion for=20
  clarification regarding 5), though: If we are going to talk about how exi=
sting=20
  protocols, and possibly new ones (additional signalling)&nbsp;are going t=
o be=20
  used to implement CLUE use cases, I guess we first need to agree on how i=
t is=20
  going to be done. Or?</FONT></SPAN></DIV>
  <DIV dir=3Dltr align=3Dleft><SPAN><FONT face=3DArial=20
  color=3D#0000ff></FONT></SPAN>&nbsp;</DIV>
  <DIV dir=3Dltr align=3Dleft><SPAN><FONT face=3DArial=20
  color=3D#0000ff>Regards,</FONT></SPAN></DIV>
  <DIV dir=3Dltr align=3Dleft><SPAN><FONT face=3DArial=20
  color=3D#0000ff></FONT></SPAN>&nbsp;</DIV>
  <DIV dir=3Dltr align=3Dleft><SPAN><FONT face=3DArial=20
  color=3D#0000ff>Christer</FONT></SPAN></DIV><BR>
  <DIV lang=3Den-us dir=3Dltr align=3Dleft>
  <HR>
  <FONT face=3DTahoma>
  <DIV class=3Dim><B>From:</B> <A href=3D"mailto:clue-bounces@ietf.org"=20
  target=3D_blank>clue-bounces@ietf.org</A> [mailto:<A=20
  href=3D"mailto:clue-bounces@ietf.org" target=3D_blank>clue-bounces@ietf.o=
rg</A>]=20
  <B>On Behalf Of </B>Mary Barnes<BR></DIV><B>Sent:</B> 11. hein=E4kuuta 20=
12 2:30
  <DIV class=3Dim><BR><B>To:</B> CLUE<BR><B>Subject:</B> Re: [clue] Today's=
 design=20
  team meeting<BR></DIV></FONT><BR></DIV>
  <DIV>
  <DIV class=3Dh5>
  <DIV></DIV>Sorry for the very short notice for today's meeting. &nbsp;We=
=20
  appreciate those that were able to make it, including:=20
  <DIV>Brian Baldino, Mary Barnes, Roni Even, Rob Hansen, Jonathan Lennox a=
nd=20
  John Leslie. &nbsp;&nbsp;</DIV>
  <DIV><BR></DIV>
  <DIV>We reviewed Roni's chart package for the use cases. &nbsp;It was=20
  suggested to weave in Stephan's example that highlights why we need the "=
axis=20
  of capture". &nbsp;Also, it was suggested to expand the multi-party examp=
le.=20
  &nbsp;Paul noted offline that some pictures would be helpful (and likely =
less=20
  words needed as a result).</DIV>
  <DIV><BR></DIV>
  <DIV>The plan is that we need the first draft for all the other presentat=
ions=20
  by next Monday (noon Pacific on July 16th). &nbsp;I will upload them on t=
he=20
  wiki so that everyone can review ahead of time. &nbsp; One important poin=
t=20
  highlighted on the call was that it wasn't clear who in each of the teams=
 was=20
  responsible for the charts. Thus, here is an updated list, indicating who=
=20
  should be the "lead" in terms of pulling together the material, getting i=
nput=20
  and getting it reviewed by the "team" and then getting the charts to the=
=20
  chairs on time. &nbsp; Note, that the "lead" may not necessarily be the o=
ne to=20
  present at the tutorial, but likely will be, so if the leads have any con=
cerns=20
  about this, please contact me ASAP.</DIV>
  <DIV><BR></DIV>
  <DIV>
  <DIV>1) Introduction to telepresence &nbsp;(Allyn (lead), Steve) (10=20
min)</DIV>
  <DIV><BR></DIV>
  <DIV>2) Example telepresence scenarios &nbsp;(Roni (lead),&nbsp;Allyn )=20
  &nbsp;(15 min)</DIV>
  <DIV><BR></DIV>
  <DIV>3) Introduction to the CLUE work (Mary (lead), Paul, Allyn, Steve) (=
5=20
  min)</DIV>
  <DIV><BR></DIV>
  <DIV>4) High level introduction of framework &nbsp;(Allyn, Andy, Brian, S=
teve=20
  (lead))&nbsp; (15 min)</DIV>
  <DIV><BR></DIV>
  <DIV>5) One or two use cases as examples of how the CLUE framework is</DI=
V>
  <DIV>realized - showing how existing protocols (e.g., SDP, RTP) are</DIV>
  <DIV>integral to the solution along with additional signaling for CLUE.</=
DIV>
  <DIV>(Rob (lead), Jonathan, Roni, Andy, Allyn, Espen) &nbsp;(20 min)</DIV=
>
  <DIV><BR></DIV>
  <DIV>6) Q&amp;A (15 min)</DIV></DIV>
  <DIV><BR></DIV>
  <DIV><BR></DIV>
  <DIV>Thanks,</DIV>
  <DIV>Mary.&nbsp;<BR><BR>
  <DIV class=3Dgmail_quote>On Tue, Jul 10, 2012 at 8:57 AM, Mary Barnes <SP=
AN=20
  dir=3Dltr>&lt;<A href=3D"mailto:mary.ietf.barnes@gmail.com"=20
  target=3D_blank>mary.ietf.barnes@gmail.com</A>&gt;</SPAN> wrote:<BR>
  <BLOCKQUOTE class=3Dgmail_quote=20
  style=3D"PADDING-LEFT: 1ex; MARGIN: 0px 0px 0px 0.8ex; BORDER-LEFT: #ccc =
1px solid">HI=20
    all,=20
    <DIV><BR></DIV>
    <DIV>The plan for today's meeting was to go over the presentations (whi=
ch=20
    were expected to be made available by noon yesterday). &nbsp;The chairs=
 have=20
    received one presentations (Use Cases) this morning, so we can briefly =
go=20
    over that today if people are available. &nbsp;I understand that folks =
are=20
    working against draft deadlines, but we really need to have the materia=
l=20
    prepared well before the meeting. &nbsp;</DIV>
    <DIV><BR></DIV>
    <DIV>I'm attaching Roni's presentation.</DIV><SPAN><FONT color=3D#88888=
8>
    <DIV><BR></DIV>
    <DIV>Mary.&nbsp;</DIV></FONT></SPAN></BLOCKQUOTE></DIV><BR></DIV></DIV>=
</DIV></DIV></BLOCKQUOTE></DIV><BR></DIV></BODY></HTML>

--_000_7F2072F1E0DE894DA4B517B93C6A058534071B9921ESESSCMS0356e_--

From allyn@cisco.com  Wed Jul 11 19:06:44 2012
Return-Path: <allyn@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id AB12611E8167 for <clue@ietfa.amsl.com>; Wed, 11 Jul 2012 19:06:44 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 8V0XPv19AvWf for <clue@ietfa.amsl.com>; Wed, 11 Jul 2012 19:06:44 -0700 (PDT)
Received: from rcdn-iport-5.cisco.com (rcdn-iport-5.cisco.com [173.37.86.76]) by ietfa.amsl.com (Postfix) with ESMTP id 0F92111E80FA for <clue@ietf.org>; Wed, 11 Jul 2012 19:06:44 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=allyn@cisco.com; l=2710; q=dns/txt; s=iport; t=1342058836; x=1343268436; h=from:to:subject:date:message-id:references:in-reply-to: content-transfer-encoding:mime-version; bh=eh88YHj/m++Xo3XHQAk5TP7hiUPlH961ydVmLSv/Izs=; b=ma5B0STBTL34aQmhieSp7Exz5kHkd5KINFRPyKlDfQhTmt+vPlgzt8ME z1bgcdjorIe2iqHAtNjoZlBUYM6ptpjU6yuuFqMGdykDEATnJR4nUG+MD /3U31NVb6LGquyL+XMw2wCAC64+aXqn4Bw5HKkPUIDI/MJ5VwWOdrrlhv M=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: AgIFALsw/k+tJXG8/2dsb2JhbABFhWiwcYEigQeCIAEBAQQSARARNwwOBAIBCBEEAQEDAgYdAwICAjAUAQYBAQUDAgQTCAEZh2sLnVmNGZMTgSCKIIRcMmADlkyNDoFmgl8
X-IronPort-AV: E=Sophos;i="4.77,571,1336348800"; d="scan'208";a="101027013"
Received: from rcdn-core2-1.cisco.com ([173.37.113.188]) by rcdn-iport-5.cisco.com with ESMTP; 12 Jul 2012 02:07:15 +0000
Received: from xhc-rcd-x12.cisco.com (xhc-rcd-x12.cisco.com [173.37.183.86]) by rcdn-core2-1.cisco.com (8.14.5/8.14.5) with ESMTP id q6C27FFM001296 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL) for <clue@ietf.org>; Thu, 12 Jul 2012 02:07:15 GMT
Received: from xmb-aln-x02.cisco.com ([169.254.5.178]) by xhc-rcd-x12.cisco.com ([173.37.183.86]) with mapi id 14.02.0298.004; Wed, 11 Jul 2012 21:07:15 -0500
From: "Allyn Romanow (allyn)" <allyn@cisco.com>
To: "CLUE (clue@ietf.org)" <clue@ietf.org>
Thread-Topic: New Version Notification for draft-romanow-clue-call-flow-01.txt
Thread-Index: AQHNX9IrW1G0isvSxUKmFQ7xBsKwqJck5Mnw
Date: Thu, 12 Jul 2012 02:07:14 +0000
Message-ID: <FD433719B54BFE41A70641D06F516F130398BF@xmb-aln-x02.cisco.com>
References: <20120712020018.21366.80711.idtracker@ietfa.amsl.com>
In-Reply-To: <20120712020018.21366.80711.idtracker@ietfa.amsl.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [128.107.140.252]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19034.001
x-tm-as-result: No--37.687200-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="utf-8"
Content-Transfer-Encoding: base64
MIME-Version: 1.0
Subject: [clue] FW: New Version Notification for draft-romanow-clue-call-flow-01.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 12 Jul 2012 02:06:44 -0000
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From rohanse2@cisco.com  Thu Jul 12 09:39:17 2012
Return-Path: <rohanse2@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 3E78421F867A for <clue@ietfa.amsl.com>; Thu, 12 Jul 2012 09:39:17 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id sbX7kk8TvmiH for <clue@ietfa.amsl.com>; Thu, 12 Jul 2012 09:39:16 -0700 (PDT)
Received: from ams-iport-3.cisco.com (ams-iport-3.cisco.com [144.254.224.146]) by ietfa.amsl.com (Postfix) with ESMTP id 256B821F869F for <clue@ietf.org>; Thu, 12 Jul 2012 09:39:16 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=rohanse2@cisco.com; l=4252; q=dns/txt; s=iport; t=1342111190; x=1343320790; h=message-id:date:from:mime-version:to:subject:references: in-reply-to:content-transfer-encoding; bh=OlinQC6WAvMEQg2LKGv2oeDSoQujIZFZ0/yljhsPKmg=; b=IQpW2a7v1Wh+MPuUlT/GNnSx6fAvU3P+/lU7F5Q8UH+r2tJVS3j32Az7 u9fJvkUj/PfwUuy7LWFyovBU1yoASv2kzHzmKA+l3s6xn4uCLfJBSDsbe dOXbS7VPIdegN/FEy5/DkO1n8r3hRN+yQU8Eo5MvimCH+2Cz+/kbfFunt U=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: AgAFADH9/k+Q/khM/2dsb2JhbABFuAqBB4IgAQEBBAEBAQ8BHwEFNgoRCxEEAQEBCRYIBwkDAgECAQ8GHxETBgIBARcHh1wDDAudVZZSDYlKBIV4hGJmhXwDlTqFVoUugxyBZoJg
X-IronPort-AV: E=Sophos;i="4.77,575,1336348800";  d="scan'208";a="6593834"
Received: from ams-core-3.cisco.com ([144.254.72.76]) by ams-iport-3.cisco.com with ESMTP; 12 Jul 2012 16:39:48 +0000
Received: from [10.47.196.161] ([10.47.196.161]) by ams-core-3.cisco.com (8.14.5/8.14.5) with ESMTP id q6CGdmgI010110 for <clue@ietf.org>; Thu, 12 Jul 2012 16:39:48 GMT
Message-ID: <4FFEFDE8.3050804@cisco.com>
Date: Thu, 12 Jul 2012 17:40:08 +0100
From: Robert Hansen <rohanse2@cisco.com>
User-Agent: Mozilla/5.0 (Windows NT 5.1; rv:13.0) Gecko/20120614 Thunderbird/13.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <CAHBDyN6xnYjwU73C=hrNfB_oLG8c84=v1g1okw+AKSugHJ=_sw@mail.gmail.com> <CAHBDyN5ommChSe_+aRq4CbMYsVqDR1wa+YaZFtYUYpr05nU+=A@mail.gmail.com> <7F2072F1E0DE894DA4B517B93C6A058534071B991A@ESESSCMS0356.eemea.ericsson.se>
In-Reply-To: <7F2072F1E0DE894DA4B517B93C6A058534071B991A@ESESSCMS0356.eemea.ericsson.se>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 8bit
Subject: Re: [clue] Today's design team meeting
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 12 Jul 2012 16:39:17 -0000

Hi Christer,

You're right that giving a definitive example or set of examples would 
require us to have made decisions we haven't yet made on things like 
protocol use, message format and so on.

We had the same issue when writing the call flow document - the method 
we came up with there was to make a number of guesses when it came to 
issues we haven't yet decided on and use those for the examples, making 
it clear up front that many of the technical details were illustrative. 
I propose to do the same thing here - while the methods we use to convey 
information and the format of that information will likely end up 
differing from what we present, the information we need to convey and 
the use the call participants have for it will be the same, and that's 
what we are primarily trying to show people with these examples.

Rob

On 11/07/2012 21:56, Christer Holmberg wrote:
> Hi,
> I think the IETF presentation is a good initiative.
> A question for clarification regarding 5), though: If we are going to
> talk about how existing protocols, and possibly new ones (additional
> signalling) are going to be used to implement CLUE use cases, I guess we
> first need to agree on how it is going to be done. Or?
> Regards,
> Christer
>
> ------------------------------------------------------------------------
> *From:* clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] *On Behalf
> Of *Mary Barnes
> *Sent:* 11. heinäkuuta 2012 2:30
> *To:* CLUE
> *Subject:* Re: [clue] Today's design team meeting
>
> Sorry for the very short notice for today's meeting.  We appreciate
> those that were able to make it, including:
> Brian Baldino, Mary Barnes, Roni Even, Rob Hansen, Jonathan Lennox and
> John Leslie.
>
> We reviewed Roni's chart package for the use cases.  It was suggested to
> weave in Stephan's example that highlights why we need the "axis of
> capture".  Also, it was suggested to expand the multi-party example.
>   Paul noted offline that some pictures would be helpful (and likely
> less words needed as a result).
>
> The plan is that we need the first draft for all the other presentations
> by next Monday (noon Pacific on July 16th).  I will upload them on the
> wiki so that everyone can review ahead of time.   One important point
> highlighted on the call was that it wasn't clear who in each of the
> teams was responsible for the charts. Thus, here is an updated list,
> indicating who should be the "lead" in terms of pulling together the
> material, getting input and getting it reviewed by the "team" and then
> getting the charts to the chairs on time. Note, that the "lead" may not
> necessarily be the one to present at the tutorial, but likely will be,
> so if the leads have any concerns about this, please contact me ASAP.
>
> 1) Introduction to telepresence  (Allyn (lead), Steve) (10 min)
>
> 2) Example telepresence scenarios  (Roni (lead), Allyn )  (15 min)
>
> 3) Introduction to the CLUE work (Mary (lead), Paul, Allyn, Steve) (5 min)
>
> 4) High level introduction of framework  (Allyn, Andy, Brian, Steve
> (lead))  (15 min)
>
> 5) One or two use cases as examples of how the CLUE framework is
> realized - showing how existing protocols (e.g., SDP, RTP) are
> integral to the solution along with additional signaling for CLUE.
> (Rob (lead), Jonathan, Roni, Andy, Allyn, Espen)  (20 min)
>
> 6) Q&A (15 min)
>
>
> Thanks,
> Mary.
>
> On Tue, Jul 10, 2012 at 8:57 AM, Mary Barnes <mary.ietf.barnes@gmail.com
> <mailto:mary.ietf.barnes@gmail.com>> wrote:
>
>     HI all,
>
>     The plan for today's meeting was to go over the presentations (which
>     were expected to be made available by noon yesterday).  The chairs
>     have received one presentations (Use Cases) this morning, so we can
>     briefly go over that today if people are available.  I understand
>     that folks are working against draft deadlines, but we really need
>     to have the material prepared well before the meeting.
>
>     I'm attaching Roni's presentation.
>
>     Mary.
>
>
>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>



From christer.holmberg@ericsson.com  Thu Jul 12 16:25:04 2012
Return-Path: <christer.holmberg@ericsson.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 4931711E80BD for <clue@ietfa.amsl.com>; Thu, 12 Jul 2012 16:25:04 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.218
X-Spam-Level: 
X-Spam-Status: No, score=-6.218 tagged_above=-999 required=5 tests=[AWL=0.031,  BAYES_00=-2.599, HELO_EQ_SE=0.35, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 0D1miPFWXguv for <clue@ietfa.amsl.com>; Thu, 12 Jul 2012 16:25:03 -0700 (PDT)
Received: from mailgw2.ericsson.se (mailgw2.ericsson.se [193.180.251.37]) by ietfa.amsl.com (Postfix) with ESMTP id 45E6F11E80EA for <clue@ietf.org>; Thu, 12 Jul 2012 16:25:03 -0700 (PDT)
X-AuditID: c1b4fb25-b7fb66d000003bb6-90-4fff5cf092ad
Received: from esessmw0197.eemea.ericsson.se (Unknown_Domain [153.88.253.125]) by mailgw2.ericsson.se (Symantec Mail Security) with SMTP id 22.A9.15286.0FC5FFF4; Fri, 13 Jul 2012 01:25:36 +0200 (CEST)
Received: from ESESSCMS0356.eemea.ericsson.se ([169.254.1.100]) by esessmw0197.eemea.ericsson.se ([153.88.115.87]) with mapi; Fri, 13 Jul 2012 01:25:36 +0200
From: Christer Holmberg <christer.holmberg@ericsson.com>
To: "Allyn Romanow (allyn)" <allyn@cisco.com>, "CLUE (clue@ietf.org)" <clue@ietf.org>
Date: Fri, 13 Jul 2012 01:25:35 +0200
Thread-Topic: [clue] FW: New Version Notification for draft-romanow-clue-call-flow-01.txt
Thread-Index: AQHNX9IrW1G0isvSxUKmFQ7xBsKwqJck5MnwgAFkQow=
Message-ID: <7F2072F1E0DE894DA4B517B93C6A05853407116824@ESESSCMS0356.eemea.ericsson.se>
References: <20120712020018.21366.80711.idtracker@ietfa.amsl.com>, <FD433719B54BFE41A70641D06F516F130398BF@xmb-aln-x02.cisco.com>
In-Reply-To: <FD433719B54BFE41A70641D06F516F130398BF@xmb-aln-x02.cisco.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
X-Brightmail-Tracker: H4sIAAAAAAAAA+NgFjrNLMWRmVeSWpSXmKPExsUyM+Jvre6HmP/+Bl8v61t8O3+V3WL/qcvM DkweU35vZPVYsuQnUwBTFJdNSmpOZllqkb5dAlfGkb9dLAWHRSvefZ3K2MC4QrCLkYNDQsBE Yts9lS5GTiBTTOLCvfVsXYxcHEICpxgljnSdZYJwFjJKzHwzlw2kgU3AQqL7nzZIg4hAuMSl g1sZQWwWAVWJ5+dOsIHYwgJREjt/7QcrFxGIlpgz1QSi3EpiZfdrsHJeoNYT/QuYIcY3MEqc a17OBJLgFPCW6Oj7BlbECHTQ91NrwOLMAuISt57MZ4I4VEBiyZ7zzBC2qMTLx/9YIepFJe60 r2eEqNeRWLD7ExuErS2xbOFrZojFghInZz5hmcAoOgvJ2FlIWmYhaZmFpGUBI8sqRuHcxMyc 9HIjvdSizOTi4vw8veLUTYzACDm45bfqDsY750QOMUpzsCiJ81pv3eMvJJCeWJKanZpakFoU X1Sak1p8iJGJg1OqgbE57k/vMVfugxt8+hhWruEQT0zdbejApVAeGDXL5cHp1d++qPw6u/2W zLWuBelM51bG8Kqf8vDgjatPejF1zZQdt1qaozaoa9hs0FvrfTP2Ltsun30/3dRn1mkEXCiQ +KusOnGRxbaz5ZbPKo57LWHqN15+7tS7a8927079JXG0PUNUoPYXxyIlluKMREMt5qLiRAD8 MKSHXgIAAA==
Subject: Re: [clue] FW: New Version Notification for	draft-romanow-clue-call-flow-01.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 12 Jul 2012 23:25:04 -0000

Hi Allyn,

As you use a SCTP user-plane channel to send the CLUE information (in order=
 to be alligned with RTCWEB), do you assume that:

a) No intermediary will need the CLUE information sent in the SCTP channel;=
 or
b) Any intermediary that will need the CLUE information will insert itself =
on the CLUE channel path?

Regards,

Christer


________________________________________
From: clue-bounces@ietf.org [clue-bounces@ietf.org] On Behalf Of Allyn Roma=
now (allyn) [allyn@cisco.com]
Sent: Thursday, July 12, 2012 5:07 AM
To: CLUE (clue@ietf.org)
Subject: [clue] FW: New Version Notification for        draft-romanow-clue-=
call-flow-01.txt

Hi Folks,
I just submitted a call flow document, as I volunteered to do at the last i=
nterim.
This was a completely collaborative effort with Rob Hansen, whom you probab=
ly know, and Arun Krishna, whom you probably don't know. Arun is a SIP expe=
rt in the Cisco Telepresence group.

This is a -01 version as I improved the formatting from the -00 submitted M=
onday.

This is obviously not meant as a proposal but as a discussion piece to help=
 us to make decisions for implementing the framework.

Best regards,
Allyn

-----Original Message-----
From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
Sent: Wednesday, July 11, 2012 7:00 PM
To: Allyn Romanow (allyn)
Cc: Arun Krishna (arukrish); Robert Hansen (rohanse2)
Subject: New Version Notification for draft-romanow-clue-call-flow-01.txt


A new version of I-D, draft-romanow-clue-call-flow-01.txt
has been successfully submitted by Allyn Romanow and posted to the IETF rep=
ository.

Filename:        draft-romanow-clue-call-flow
Revision:        01
Title:           Call Flow for CLUE
Creation date:   2012-07-12
WG ID:           Individual Submission
Number of pages: 41
URL:             http://www.ietf.org/internet-drafts/draft-romanow-clue-cal=
l-flow-01.txt
Status:          http://datatracker.ietf.org/doc/draft-romanow-clue-call-fl=
ow
Htmlized:        http://tools.ietf.org/html/draft-romanow-clue-call-flow-01
Diff:            http://tools.ietf.org/rfcdiff?url2=3Ddraft-romanow-clue-ca=
ll-flow-01

Abstract:
   This draft shows the CLUE call flow demonstrating the use of CLUE in
   SIP.  It also provides information about the message and syntax for
   CLUE transport establishment and other extensions in SDP.  In CLUE
   participants act as both providers and consumers.  The draft includes
   a detailed example of a typical use case which includes both static
   and switched captures.




The IETF Secretariat
_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue=

From christer.holmberg@ericsson.com  Thu Jul 12 16:27:53 2012
Return-Path: <christer.holmberg@ericsson.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 53E7611E80EA for <clue@ietfa.amsl.com>; Thu, 12 Jul 2012 16:27:53 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.219
X-Spam-Level: 
X-Spam-Status: No, score=-6.219 tagged_above=-999 required=5 tests=[AWL=0.030,  BAYES_00=-2.599, HELO_EQ_SE=0.35, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id nQVLUq9XnsEf for <clue@ietfa.amsl.com>; Thu, 12 Jul 2012 16:27:52 -0700 (PDT)
Received: from mailgw7.ericsson.se (mailgw7.ericsson.se [193.180.251.48]) by ietfa.amsl.com (Postfix) with ESMTP id 269B111E80BD for <clue@ietf.org>; Thu, 12 Jul 2012 16:27:51 -0700 (PDT)
X-AuditID: c1b4fb30-b7f916d000000bfb-38-4fff5d99db0d
Received: from esessmw0197.eemea.ericsson.se (Unknown_Domain [153.88.253.125]) by mailgw7.ericsson.se (Symantec Mail Security) with SMTP id DF.EA.03067.99D5FFF4; Fri, 13 Jul 2012 01:28:26 +0200 (CEST)
Received: from ESESSCMS0356.eemea.ericsson.se ([169.254.1.100]) by esessmw0197.eemea.ericsson.se ([153.88.115.87]) with mapi; Fri, 13 Jul 2012 01:28:25 +0200
From: Christer Holmberg <christer.holmberg@ericsson.com>
To: Robert Hansen <rohanse2@cisco.com>, "clue@ietf.org" <clue@ietf.org>
Date: Fri, 13 Jul 2012 01:26:26 +0200
Thread-Topic: [clue] Today's design team meeting
Thread-Index: Ac1gTPe5KNa/YrTbTxqzKL5ImZlKmwAOMpgn
Message-ID: <7F2072F1E0DE894DA4B517B93C6A05853407116825@ESESSCMS0356.eemea.ericsson.se>
References: <CAHBDyN6xnYjwU73C=hrNfB_oLG8c84=v1g1okw+AKSugHJ=_sw@mail.gmail.com> <CAHBDyN5ommChSe_+aRq4CbMYsVqDR1wa+YaZFtYUYpr05nU+=A@mail.gmail.com> <7F2072F1E0DE894DA4B517B93C6A058534071B991A@ESESSCMS0356.eemea.ericsson.se>, <4FFEFDE8.3050804@cisco.com>
In-Reply-To: <4FFEFDE8.3050804@cisco.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: text/plain; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
X-Brightmail-Tracker: H4sIAAAAAAAAA+NgFjrLLMWRmVeSWpSXmKPExsUyM+Jvre6s2P/+Bqc3sVjsP3WZ2eLT/w/s DkweU35vZPVYsuQnUwBTFJdNSmpOZllqkb5dAldG79IJrAVr1Coez7nF3sB4Vq6LkZNDQsBE 4tWdQ4wQtpjEhXvr2boYuTiEBE4xSmz69Y0ZwlnIKDHlxAr2LkYODjYBC4nuf9ogDSIC7hKL D15lBrFZBFQldtxdywZiCwvoS+x89pUFosZA4trq1WwQtpHE84ezwZbxCoRL3PrSzgoxv4lJ ovXCErAGTgFNieun1zKB2IxAF30/tQbMZhYQl7j1ZD4TxKUCEkv2nGeGsEUlXj7+xwpRLypx p309I0S9nsSNqVPYIGxtiWULXzNDLBaUODnzCcsERtFZSMbOQtIyC0nLLCQtCxhZVjEK5yZm 5qSXm+ulFmUmFxfn5+kVp25iBEbJwS2/DXYwbrovdohRmoNFSZxXT3W/v5BAemJJanZqakFq UXxRaU5q8SFGJg5OqQbGPREdD1KM3nTrbLHMXle/WZztAlvoj2us17a+PK2jc6HqdbJI3bRY w8C8GGE5ZvaIcBvhssWcPpwWR1VnXSnK85Jz0Ghku+wpt/x+WN/161ps7fNEMqQv1250//KK L+a67tvDt6JuH031Y77ikR0roPClzfOJnMyaJcfCTmevCOr7uecVO6MSS3FGoqEWc1FxIgDr dF8OYAIAAA==
Subject: Re: [clue] Today's design team meeting
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 12 Jul 2012 23:27:53 -0000

Hi,

My suggestion is to go step-by-step.

First, describe WHAT information will be exchanged, and WHEN, ie talk about=
 a "CLUE channel" without specifying how it's implemented.

After that, describe HOW the information will be exchanged.

Regards,

Christer

________________________________________
From: clue-bounces@ietf.org [clue-bounces@ietf.org] On Behalf Of Robert Han=
sen [rohanse2@cisco.com]
Sent: Thursday, July 12, 2012 7:40 PM
To: clue@ietf.org
Subject: Re: [clue] Today's design team meeting

Hi Christer,

You're right that giving a definitive example or set of examples would
require us to have made decisions we haven't yet made on things like
protocol use, message format and so on.

We had the same issue when writing the call flow document - the method
we came up with there was to make a number of guesses when it came to
issues we haven't yet decided on and use those for the examples, making
it clear up front that many of the technical details were illustrative.
I propose to do the same thing here - while the methods we use to convey
information and the format of that information will likely end up
differing from what we present, the information we need to convey and
the use the call participants have for it will be the same, and that's
what we are primarily trying to show people with these examples.

Rob

On 11/07/2012 21:56, Christer Holmberg wrote:
> Hi,
> I think the IETF presentation is a good initiative.
> A question for clarification regarding 5), though: If we are going to
> talk about how existing protocols, and possibly new ones (additional
> signalling) are going to be used to implement CLUE use cases, I guess we
> first need to agree on how it is going to be done. Or?
> Regards,
> Christer
>
> ------------------------------------------------------------------------
> *From:* clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] *On Behalf
> Of *Mary Barnes
> *Sent:* 11. hein=E4kuuta 2012 2:30
> *To:* CLUE
> *Subject:* Re: [clue] Today's design team meeting
>
> Sorry for the very short notice for today's meeting.  We appreciate
> those that were able to make it, including:
> Brian Baldino, Mary Barnes, Roni Even, Rob Hansen, Jonathan Lennox and
> John Leslie.
>
> We reviewed Roni's chart package for the use cases.  It was suggested to
> weave in Stephan's example that highlights why we need the "axis of
> capture".  Also, it was suggested to expand the multi-party example.
>   Paul noted offline that some pictures would be helpful (and likely
> less words needed as a result).
>
> The plan is that we need the first draft for all the other presentations
> by next Monday (noon Pacific on July 16th).  I will upload them on the
> wiki so that everyone can review ahead of time.   One important point
> highlighted on the call was that it wasn't clear who in each of the
> teams was responsible for the charts. Thus, here is an updated list,
> indicating who should be the "lead" in terms of pulling together the
> material, getting input and getting it reviewed by the "team" and then
> getting the charts to the chairs on time. Note, that the "lead" may not
> necessarily be the one to present at the tutorial, but likely will be,
> so if the leads have any concerns about this, please contact me ASAP.
>
> 1) Introduction to telepresence  (Allyn (lead), Steve) (10 min)
>
> 2) Example telepresence scenarios  (Roni (lead), Allyn )  (15 min)
>
> 3) Introduction to the CLUE work (Mary (lead), Paul, Allyn, Steve) (5 min=
)
>
> 4) High level introduction of framework  (Allyn, Andy, Brian, Steve
> (lead))  (15 min)
>
> 5) One or two use cases as examples of how the CLUE framework is
> realized - showing how existing protocols (e.g., SDP, RTP) are
> integral to the solution along with additional signaling for CLUE.
> (Rob (lead), Jonathan, Roni, Andy, Allyn, Espen)  (20 min)
>
> 6) Q&A (15 min)
>
>
> Thanks,
> Mary.
>
> On Tue, Jul 10, 2012 at 8:57 AM, Mary Barnes <mary.ietf.barnes@gmail.com
> <mailto:mary.ietf.barnes@gmail.com>> wrote:
>
>     HI all,
>
>     The plan for today's meeting was to go over the presentations (which
>     were expected to be made available by noon yesterday).  The chairs
>     have received one presentations (Use Cases) this morning, so we can
>     briefly go over that today if people are available.  I understand
>     that folks are working against draft deadlines, but we really need
>     to have the material prepared well before the meeting.
>
>     I'm attaching Roni's presentation.
>
>     Mary.
>
>
>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue=

From allyn@cisco.com  Thu Jul 12 19:43:19 2012
Return-Path: <allyn@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 49A2F21F853F for <clue@ietfa.amsl.com>; Thu, 12 Jul 2012 19:43:18 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[AWL=0.000, BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 8NWcUi3Wzg68 for <clue@ietfa.amsl.com>; Thu, 12 Jul 2012 19:43:17 -0700 (PDT)
Received: from rcdn-iport-4.cisco.com (rcdn-iport-4.cisco.com [173.37.86.75]) by ietfa.amsl.com (Postfix) with ESMTP id A4C5521F853D for <clue@ietf.org>; Thu, 12 Jul 2012 19:43:16 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=allyn@cisco.com; l=3837; q=dns/txt; s=iport; t=1342147431; x=1343357031; h=from:to:subject:date:message-id:references:in-reply-to: content-transfer-encoding:mime-version; bh=1O1Bz4PFIMB4E9j4vEWbpLscXDDWEZl9u9rhQ3nyft8=; b=Jl7qZkVebLLT6oJnH814mgakoufG7F5BYKihRpmudjbOJpskrELw+QEz ku76lBRw7MhJQAeIjce6jy4EQ8vwgTPc4nP6cxFRhqJoekC67GeRT2tSP 2f7DvuSzKJ8aug18IsvpUZTNtdZVEP9bi5PANRb5kUAn1vZR8KMZzS5S3 U=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av8EADeK/0+tJXG+/2dsb2JhbABFuBqBB4IgAQEBBAEBAQ8BJzEDCQ4EAgEIEQQBAQsUCQcnCxQIAQgCBAESCAEZh2sLnWugDItAhRZgA5ZMjQ6BZoJf
X-IronPort-AV: E=Sophos;i="4.77,577,1336348800"; d="scan'208";a="101465851"
Received: from rcdn-core2-3.cisco.com ([173.37.113.190]) by rcdn-iport-4.cisco.com with ESMTP; 13 Jul 2012 02:43:51 +0000
Received: from xhc-rcd-x15.cisco.com (xhc-rcd-x15.cisco.com [173.37.183.89]) by rcdn-core2-3.cisco.com (8.14.5/8.14.5) with ESMTP id q6D2hp42027327 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Fri, 13 Jul 2012 02:43:51 GMT
Received: from xmb-aln-x02.cisco.com ([169.254.5.178]) by xhc-rcd-x15.cisco.com ([173.37.183.89]) with mapi id 14.02.0298.004; Thu, 12 Jul 2012 21:43:51 -0500
From: "Allyn Romanow (allyn)" <allyn@cisco.com>
To: Christer Holmberg <christer.holmberg@ericsson.com>, "CLUE (clue@ietf.org)" <clue@ietf.org>
Thread-Topic: [clue] FW: New Version Notification for draft-romanow-clue-call-flow-01.txt
Thread-Index: AQHNYIWmz8rO8cADgE+gvKnV9bbvV5cmf62A
Date: Fri, 13 Jul 2012 02:43:50 +0000
Message-ID: <FD433719B54BFE41A70641D06F516F1303AA1E@xmb-aln-x02.cisco.com>
References: <20120712020018.21366.80711.idtracker@ietfa.amsl.com>, <FD433719B54BFE41A70641D06F516F130398BF@xmb-aln-x02.cisco.com> <7F2072F1E0DE894DA4B517B93C6A05853407116824@ESESSCMS0356.eemea.ericsson.se>
In-Reply-To: <7F2072F1E0DE894DA4B517B93C6A05853407116824@ESESSCMS0356.eemea.ericsson.se>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.21.115.29]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19036.000
x-tm-as-result: No--42.340000-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] FW: New Version Notification for	draft-romanow-clue-call-flow-01.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 13 Jul 2012 02:43:19 -0000

Hi Christer-
Assuming b-- that any intermediary needing CLUE info will need to do CLUE.

In conjunction with the work we did on using SDP to carry CLUE messages, wh=
ich Flemming gave a presentation on at IETF, we tried to ascertain what inf=
o an intermediary would want from CLUE that it couldn't get from SDP. It wa=
s difficult to get a really definitive answer to this question. Generally p=
eople felt that bandwidth was the important information and that is availab=
le in SDP.

After concluding that it was infeasible to carry CLUE messages in SDP, we a=
lso felt that if there is some specific information not available in SDP if=
 it appropriate, we could consider adding it to SDP; but if an intermediary=
 wanted much CLUE info, they'd have to speak CLUE.

Make sense?

A

-----Original Message-----
From: Christer Holmberg [mailto:christer.holmberg@ericsson.com]=20
Sent: Thursday, July 12, 2012 4:26 PM
To: Allyn Romanow (allyn); CLUE (clue@ietf.org)
Subject: RE: [clue] FW: New Version Notification for draft-romanow-clue-cal=
l-flow-01.txt

Hi Allyn,

As you use a SCTP user-plane channel to send the CLUE information (in order=
 to be alligned with RTCWEB), do you assume that:

a) No intermediary will need the CLUE information sent in the SCTP channel;=
 or
b) Any intermediary that will need the CLUE information will insert itself =
on the CLUE channel path?

Regards,

Christer


________________________________________
From: clue-bounces@ietf.org [clue-bounces@ietf.org] On Behalf Of Allyn Roma=
now (allyn) [allyn@cisco.com]
Sent: Thursday, July 12, 2012 5:07 AM
To: CLUE (clue@ietf.org)
Subject: [clue] FW: New Version Notification for        draft-romanow-clue-=
call-flow-01.txt

Hi Folks,
I just submitted a call flow document, as I volunteered to do at the last i=
nterim.
This was a completely collaborative effort with Rob Hansen, whom you probab=
ly know, and Arun Krishna, whom you probably don't know. Arun is a SIP expe=
rt in the Cisco Telepresence group.

This is a -01 version as I improved the formatting from the -00 submitted M=
onday.

This is obviously not meant as a proposal but as a discussion piece to help=
 us to make decisions for implementing the framework.

Best regards,
Allyn

-----Original Message-----
From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
Sent: Wednesday, July 11, 2012 7:00 PM
To: Allyn Romanow (allyn)
Cc: Arun Krishna (arukrish); Robert Hansen (rohanse2)
Subject: New Version Notification for draft-romanow-clue-call-flow-01.txt


A new version of I-D, draft-romanow-clue-call-flow-01.txt
has been successfully submitted by Allyn Romanow and posted to the IETF rep=
ository.

Filename:        draft-romanow-clue-call-flow
Revision:        01
Title:           Call Flow for CLUE
Creation date:   2012-07-12
WG ID:           Individual Submission
Number of pages: 41
URL:             http://www.ietf.org/internet-drafts/draft-romanow-clue-cal=
l-flow-01.txt
Status:          http://datatracker.ietf.org/doc/draft-romanow-clue-call-fl=
ow
Htmlized:        http://tools.ietf.org/html/draft-romanow-clue-call-flow-01
Diff:            http://tools.ietf.org/rfcdiff?url2=3Ddraft-romanow-clue-ca=
ll-flow-01

Abstract:
   This draft shows the CLUE call flow demonstrating the use of CLUE in
   SIP.  It also provides information about the message and syntax for
   CLUE transport establishment and other extensions in SDP.  In CLUE
   participants act as both providers and consumers.  The draft includes
   a detailed example of a typical use case which includes both static
   and switched captures.




The IETF Secretariat
_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

From christer.holmberg@ericsson.com  Fri Jul 13 00:42:08 2012
Return-Path: <christer.holmberg@ericsson.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 0241A21F86F7 for <clue@ietfa.amsl.com>; Fri, 13 Jul 2012 00:42:08 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.22
X-Spam-Level: 
X-Spam-Status: No, score=-6.22 tagged_above=-999 required=5 tests=[AWL=0.029,  BAYES_00=-2.599, HELO_EQ_SE=0.35, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 3hmAYMIMD322 for <clue@ietfa.amsl.com>; Fri, 13 Jul 2012 00:42:07 -0700 (PDT)
Received: from mailgw7.ericsson.se (mailgw7.ericsson.se [193.180.251.48]) by ietfa.amsl.com (Postfix) with ESMTP id AEF4621F86D7 for <clue@ietf.org>; Fri, 13 Jul 2012 00:42:06 -0700 (PDT)
X-AuditID: c1b4fb30-b7f916d000000bfb-24-4fffd16867c2
Received: from esessmw0191.eemea.ericsson.se (Unknown_Domain [153.88.253.125]) by mailgw7.ericsson.se (Symantec Mail Security) with SMTP id 59.D9.03067.861DFFF4; Fri, 13 Jul 2012 09:42:32 +0200 (CEST)
Received: from ESESSCMS0356.eemea.ericsson.se ([169.254.1.100]) by esessmw0191.eemea.ericsson.se ([153.88.115.84]) with mapi; Fri, 13 Jul 2012 09:42:32 +0200
From: Christer Holmberg <christer.holmberg@ericsson.com>
To: "Allyn Romanow (allyn)" <allyn@cisco.com>, "CLUE (clue@ietf.org)" <clue@ietf.org>
Date: Fri, 13 Jul 2012 09:39:02 +0200
Thread-Topic: [clue] FW: New Version Notification for draft-romanow-clue-call-flow-01.txt
Thread-Index: AQHNYIWmz8rO8cADgE+gvKnV9bbvV5cmf62AgABUbFw=
Message-ID: <7F2072F1E0DE894DA4B517B93C6A05853407116827@ESESSCMS0356.eemea.ericsson.se>
References: <20120712020018.21366.80711.idtracker@ietfa.amsl.com>, <FD433719B54BFE41A70641D06F516F130398BF@xmb-aln-x02.cisco.com> <7F2072F1E0DE894DA4B517B93C6A05853407116824@ESESSCMS0356.eemea.ericsson.se>, <FD433719B54BFE41A70641D06F516F1303AA1E@xmb-aln-x02.cisco.com>
In-Reply-To: <FD433719B54BFE41A70641D06F516F1303AA1E@xmb-aln-x02.cisco.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
X-Brightmail-Tracker: H4sIAAAAAAAAA+NgFjrJLMWRmVeSWpSXmKPExsUyM+JvrW7+xf/+BmuOylt8O3+V3WL/qcvM DkweU35vZPVYsuQnUwBTFJdNSmpOZllqkb5dAlfGrpXiBb3KFRvWnGNtYFwn08XIySEhYCJx afZMRghbTOLCvfVsXYxcHEICpxglOhbPYAZJCAksZJToORDZxcjBwSZgIdH9TxskLCIQLnHp 4FawXhYBVYnlPxezgNjCAlESO3/tZwMpFxGIlpgz1QSi3Eriy+qtTCA2L1Dr6v5WFohVvUwS Z7d9ZgSp5xTwljh2vwykhhHonO+n1oDVMwuIS9x6Mp8J4kwBiSV7zjND2KISLx//Y4WoF5W4 076eEaJeR2LB7k9sELa2xLKFr5kh9gpKnJz5hGUCo+gsJGNnIWmZhaRlFpKWBYwsqxiFcxMz c9LLzfVSizKTi4vz8/SKUzcxAqPj4JbfBjsYN90XO8QozcGiJM6rp7rfX0ggPbEkNTs1tSC1 KL6oNCe1+BAjEwenVANjN1fUnIqJ32IKjgV823L9SZ73c6UWn8JQ9Vqhvy2/dit0p5WpfXuz IHS7+BGVvu38PyZOyNGK91l649fp15fi1pbNrmTqE1Pe2OyWeX/uod+Sh4Lmq8/kmS8QX6jz W/LNMuaE43kbzlu1b1gets8h5OTx8u8/O5dfOrW87s8GQYFnxbWvwvxZlViKMxINtZiLihMB jCbTDVwCAAA=
Subject: Re: [clue] FW: New Version Notification for	draft-romanow-clue-call-flow-01.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 13 Jul 2012 07:42:08 -0000

Hi Allyn,

I for sure agree that we shouldn't "overload" SDP, but that's not the only =
way to carry information out-of-band.

Note that I am not suggesting to replace the SCTP channel with an out-of-ba=
nd solution. I'm only saying that we need to consider whether some informat=
ion is needed by intermediaries, and then figure out how to acheive that.

Regards,

Christer

________________________________________
From: Allyn Romanow (allyn) [allyn@cisco.com]
Sent: Friday, July 13, 2012 5:43 AM
To: Christer Holmberg; CLUE (clue@ietf.org)
Subject: RE: [clue] FW: New Version Notification for    draft-romanow-clue-=
call-flow-01.txt

Hi Christer-
Assuming b-- that any intermediary needing CLUE info will need to do CLUE.

In conjunction with the work we did on using SDP to carry CLUE messages, wh=
ich Flemming gave a presentation on at IETF, we tried to ascertain what inf=
o an intermediary would want from CLUE that it couldn't get from SDP. It wa=
s difficult to get a really definitive answer to this question. Generally p=
eople felt that bandwidth was the important information and that is availab=
le in SDP.

After concluding that it was infeasible to carry CLUE messages in SDP, we a=
lso felt that if there is some specific information not available in SDP if=
 it appropriate, we could consider adding it to SDP; but if an intermediary=
 wanted much CLUE info, they'd have to speak CLUE.

Make sense?

A

-----Original Message-----
From: Christer Holmberg [mailto:christer.holmberg@ericsson.com]
Sent: Thursday, July 12, 2012 4:26 PM
To: Allyn Romanow (allyn); CLUE (clue@ietf.org)
Subject: RE: [clue] FW: New Version Notification for draft-romanow-clue-cal=
l-flow-01.txt

Hi Allyn,

As you use a SCTP user-plane channel to send the CLUE information (in order=
 to be alligned with RTCWEB), do you assume that:

a) No intermediary will need the CLUE information sent in the SCTP channel;=
 or
b) Any intermediary that will need the CLUE information will insert itself =
on the CLUE channel path?

Regards,

Christer


________________________________________
From: clue-bounces@ietf.org [clue-bounces@ietf.org] On Behalf Of Allyn Roma=
now (allyn) [allyn@cisco.com]
Sent: Thursday, July 12, 2012 5:07 AM
To: CLUE (clue@ietf.org)
Subject: [clue] FW: New Version Notification for        draft-romanow-clue-=
call-flow-01.txt

Hi Folks,
I just submitted a call flow document, as I volunteered to do at the last i=
nterim.
This was a completely collaborative effort with Rob Hansen, whom you probab=
ly know, and Arun Krishna, whom you probably don't know. Arun is a SIP expe=
rt in the Cisco Telepresence group.

This is a -01 version as I improved the formatting from the -00 submitted M=
onday.

This is obviously not meant as a proposal but as a discussion piece to help=
 us to make decisions for implementing the framework.

Best regards,
Allyn

-----Original Message-----
From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
Sent: Wednesday, July 11, 2012 7:00 PM
To: Allyn Romanow (allyn)
Cc: Arun Krishna (arukrish); Robert Hansen (rohanse2)
Subject: New Version Notification for draft-romanow-clue-call-flow-01.txt


A new version of I-D, draft-romanow-clue-call-flow-01.txt
has been successfully submitted by Allyn Romanow and posted to the IETF rep=
ository.

Filename:        draft-romanow-clue-call-flow
Revision:        01
Title:           Call Flow for CLUE
Creation date:   2012-07-12
WG ID:           Individual Submission
Number of pages: 41
URL:             http://www.ietf.org/internet-drafts/draft-romanow-clue-cal=
l-flow-01.txt
Status:          http://datatracker.ietf.org/doc/draft-romanow-clue-call-fl=
ow
Htmlized:        http://tools.ietf.org/html/draft-romanow-clue-call-flow-01
Diff:            http://tools.ietf.org/rfcdiff?url2=3Ddraft-romanow-clue-ca=
ll-flow-01

Abstract:
   This draft shows the CLUE call flow demonstrating the use of CLUE in
   SIP.  It also provides information about the message and syntax for
   CLUE transport establishment and other extensions in SDP.  In CLUE
   participants act as both providers and consumers.  The draft includes
   a detailed example of a typical use case which includes both static
   and switched captures.




The IETF Secretariat
_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue=

From pkyzivat@alum.mit.edu  Fri Jul 13 06:36:08 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id A368221F86C9 for <clue@ietfa.amsl.com>; Fri, 13 Jul 2012 06:36:08 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -1.25
X-Spam-Level: 
X-Spam-Status: No, score=-1.25 tagged_above=-999 required=5 tests=[AWL=-0.813,  BAYES_00=-2.599, FH_RELAY_NODNS=1.451, HELO_MISMATCH_NET=0.611,  RDNS_NONE=0.1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id XneaSDZT1Eob for <clue@ietfa.amsl.com>; Fri, 13 Jul 2012 06:36:07 -0700 (PDT)
Received: from qmta02.westchester.pa.mail.comcast.net (qmta02.westchester.pa.mail.comcast.net [IPv6:2001:558:fe14:43:76:96:62:24]) by ietfa.amsl.com (Postfix) with ESMTP id 2AC5A21F8671 for <clue@ietf.org>; Fri, 13 Jul 2012 06:36:06 -0700 (PDT)
Received: from omta14.westchester.pa.mail.comcast.net ([76.96.62.60]) by qmta02.westchester.pa.mail.comcast.net with comcast id Zn3V1j0011HzFnQ51pcliv; Fri, 13 Jul 2012 13:36:45 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta14.westchester.pa.mail.comcast.net with comcast id Zpck1j01L3ZTu2S3apckEo; Fri, 13 Jul 2012 13:36:44 +0000
Message-ID: <5000246A.9080507@alum.mit.edu>
Date: Fri, 13 Jul 2012 09:36:42 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <20120712020018.21366.80711.idtracker@ietfa.amsl.com>, <FD433719B54BFE41A70641D06F516F130398BF@xmb-aln-x02.cisco.com> <7F2072F1E0DE894DA4B517B93C6A05853407116824@ESESSCMS0356.eemea.ericsson.se>, <FD433719B54BFE41A70641D06F516F1303AA1E@xmb-aln-x02.cisco.com> <7F2072F1E0DE894DA4B517B93C6A05853407116827@ESESSCMS0356.eemea.ericsson.se>
In-Reply-To: <7F2072F1E0DE894DA4B517B93C6A05853407116827@ESESSCMS0356.eemea.ericsson.se>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] FW: New Version Notification for	draft-romanow-clue-call-flow-01.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 13 Jul 2012 13:36:08 -0000

Christer,

(Speaking as individual)

Frankly I'm at a loss for a way to decide which information might be 
*needed* by an intermediary, in contrast to information that might be 
*desired* by an intermediary.

I'm sufficiently jaded to think that *all* information will be *desired* 
by some intermediary. (E.g. Facebook.)

Do you have a suggestion for how to determine need?
ISTM that to determine need, we must first determine what intermediary 
actions we are trying to facilitate.

	Thanks,
	Paul

On 7/13/12 3:39 AM, Christer Holmberg wrote:
> Hi Allyn,
>
> I for sure agree that we shouldn't "overload" SDP, but that's not the only way to carry information out-of-band.
>
> Note that I am not suggesting to replace the SCTP channel with an out-of-band solution. I'm only saying that we need to consider whether some information is needed by intermediaries, and then figure out how to acheive that.
>
> Regards,
>
> Christer
>
> ________________________________________
> From: Allyn Romanow (allyn) [allyn@cisco.com]
> Sent: Friday, July 13, 2012 5:43 AM
> To: Christer Holmberg; CLUE (clue@ietf.org)
> Subject: RE: [clue] FW: New Version Notification for    draft-romanow-clue-call-flow-01.txt
>
> Hi Christer-
> Assuming b-- that any intermediary needing CLUE info will need to do CLUE.
>
> In conjunction with the work we did on using SDP to carry CLUE messages, which Flemming gave a presentation on at IETF, we tried to ascertain what info an intermediary would want from CLUE that it couldn't get from SDP. It was difficult to get a really definitive answer to this question. Generally people felt that bandwidth was the important information and that is available in SDP.
>
> After concluding that it was infeasible to carry CLUE messages in SDP, we also felt that if there is some specific information not available in SDP if it appropriate, we could consider adding it to SDP; but if an intermediary wanted much CLUE info, they'd have to speak CLUE.
>
> Make sense?
>
> A
>
> -----Original Message-----
> From: Christer Holmberg [mailto:christer.holmberg@ericsson.com]
> Sent: Thursday, July 12, 2012 4:26 PM
> To: Allyn Romanow (allyn); CLUE (clue@ietf.org)
> Subject: RE: [clue] FW: New Version Notification for draft-romanow-clue-call-flow-01.txt
>
> Hi Allyn,
>
> As you use a SCTP user-plane channel to send the CLUE information (in order to be alligned with RTCWEB), do you assume that:
>
> a) No intermediary will need the CLUE information sent in the SCTP channel; or
> b) Any intermediary that will need the CLUE information will insert itself on the CLUE channel path?
>
> Regards,
>
> Christer
>
>
> ________________________________________
> From: clue-bounces@ietf.org [clue-bounces@ietf.org] On Behalf Of Allyn Romanow (allyn) [allyn@cisco.com]
> Sent: Thursday, July 12, 2012 5:07 AM
> To: CLUE (clue@ietf.org)
> Subject: [clue] FW: New Version Notification for        draft-romanow-clue-call-flow-01.txt
>
> Hi Folks,
> I just submitted a call flow document, as I volunteered to do at the last interim.
> This was a completely collaborative effort with Rob Hansen, whom you probably know, and Arun Krishna, whom you probably don't know. Arun is a SIP expert in the Cisco Telepresence group.
>
> This is a -01 version as I improved the formatting from the -00 submitted Monday.
>
> This is obviously not meant as a proposal but as a discussion piece to help us to make decisions for implementing the framework.
>
> Best regards,
> Allyn
>
> -----Original Message-----
> From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
> Sent: Wednesday, July 11, 2012 7:00 PM
> To: Allyn Romanow (allyn)
> Cc: Arun Krishna (arukrish); Robert Hansen (rohanse2)
> Subject: New Version Notification for draft-romanow-clue-call-flow-01.txt
>
>
> A new version of I-D, draft-romanow-clue-call-flow-01.txt
> has been successfully submitted by Allyn Romanow and posted to the IETF repository.
>
> Filename:        draft-romanow-clue-call-flow
> Revision:        01
> Title:           Call Flow for CLUE
> Creation date:   2012-07-12
> WG ID:           Individual Submission
> Number of pages: 41
> URL:             http://www.ietf.org/internet-drafts/draft-romanow-clue-call-flow-01.txt
> Status:          http://datatracker.ietf.org/doc/draft-romanow-clue-call-flow
> Htmlized:        http://tools.ietf.org/html/draft-romanow-clue-call-flow-01
> Diff:            http://tools.ietf.org/rfcdiff?url2=draft-romanow-clue-call-flow-01
>
> Abstract:
>     This draft shows the CLUE call flow demonstrating the use of CLUE in
>     SIP.  It also provides information about the message and syntax for
>     CLUE transport establishment and other extensions in SDP.  In CLUE
>     participants act as both providers and consumers.  The draft includes
>     a detailed example of a typical use case which includes both static
>     and switched captures.
>
>
>
>
> The IETF Secretariat
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From allyn@cisco.com  Fri Jul 13 11:35:50 2012
Return-Path: <allyn@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id CF0E421F86E4 for <clue@ietfa.amsl.com>; Fri, 13 Jul 2012 11:35:50 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id evzlWPqznJUj for <clue@ietfa.amsl.com>; Fri, 13 Jul 2012 11:35:48 -0700 (PDT)
Received: from rcdn-iport-2.cisco.com (rcdn-iport-2.cisco.com [173.37.86.73]) by ietfa.amsl.com (Postfix) with ESMTP id DF75F21F8679 for <clue@ietf.org>; Fri, 13 Jul 2012 11:35:47 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=allyn@cisco.com; l=5148; q=dns/txt; s=iport; t=1342204585; x=1343414185; h=from:to:subject:date:message-id:references:in-reply-to: content-transfer-encoding:mime-version; bh=CFnKJ8CiAoHcdROtTRmlMjLs9PRXuFj1JcK5uICrYM0=; b=BsreemRqALQaGbOPsuW2pD1N1eoYBgrgwI93zwdwhD1Pmv61YxhQW3DN buTcivAESAzFzo8U+fHu7rSWLji0MjnBN2PZmfykERY1RrGegQudxrYCl qTzyqtRM1ze/oFQd6Je0EVcSLrIOtGxY47YmfHeWnrdHawA8w3dgMdYEX A=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av8EAHdqAFCtJV2c/2dsb2JhbABFuB2BB4IgAQEBBAEBAQ8BJzEDCQ4EAgEIEQQBAQsUCQcnCxQIAQgCBAESCAESB4drC5tSoCyLPIUWYAOWTI0OgWaCXw
X-IronPort-AV: E=Sophos;i="4.77,580,1336348800"; d="scan'208";a="101687729"
Received: from rcdn-core-5.cisco.com ([173.37.93.156]) by rcdn-iport-2.cisco.com with ESMTP; 13 Jul 2012 18:35:55 +0000
Received: from xhc-rcd-x10.cisco.com (xhc-rcd-x10.cisco.com [173.37.183.84]) by rcdn-core-5.cisco.com (8.14.5/8.14.5) with ESMTP id q6DIZtuu018115 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Fri, 13 Jul 2012 18:35:55 GMT
Received: from xmb-aln-x02.cisco.com ([169.254.5.178]) by xhc-rcd-x10.cisco.com ([173.37.183.84]) with mapi id 14.02.0298.004; Fri, 13 Jul 2012 13:35:54 -0500
From: "Allyn Romanow (allyn)" <allyn@cisco.com>
To: Christer Holmberg <christer.holmberg@ericsson.com>, "CLUE (clue@ietf.org)" <clue@ietf.org>
Thread-Topic: [clue] FW: New Version Notification for draft-romanow-clue-call-flow-01.txt
Thread-Index: AQHNYIWmz8rO8cADgE+gvKnV9bbvV5cmf62AgABUbFyAALbOMA==
Date: Fri, 13 Jul 2012 18:35:53 +0000
Message-ID: <FD433719B54BFE41A70641D06F516F1303AF29@xmb-aln-x02.cisco.com>
References: <20120712020018.21366.80711.idtracker@ietfa.amsl.com>, <FD433719B54BFE41A70641D06F516F130398BF@xmb-aln-x02.cisco.com> <7F2072F1E0DE894DA4B517B93C6A05853407116824@ESESSCMS0356.eemea.ericsson.se>, <FD433719B54BFE41A70641D06F516F1303AA1E@xmb-aln-x02.cisco.com> <7F2072F1E0DE894DA4B517B93C6A05853407116827@ESESSCMS0356.eemea.ericsson.se>
In-Reply-To: <7F2072F1E0DE894DA4B517B93C6A05853407116827@ESESSCMS0356.eemea.ericsson.se>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [128.107.142.71]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19038.001
x-tm-as-result: No--50.326700-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] FW: New Version Notification for	draft-romanow-clue-call-flow-01.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 13 Jul 2012 18:35:51 -0000

Hey Christer-
Any light you or anyone can throw on that question would be great!!

I spent a fair bit of effort "interviewing" people in and outside of my com=
pany who have to do with intermediaries and their customers and concluded t=
hat it wasn't clear..=20
We can talk offline if you like and I can tell you more about what I learne=
d (or didn't..) :)

cheers

-----Original Message-----
From: Christer Holmberg [mailto:christer.holmberg@ericsson.com]=20
Sent: Friday, July 13, 2012 12:39 AM
To: Allyn Romanow (allyn); CLUE (clue@ietf.org)
Subject: RE: [clue] FW: New Version Notification for draft-romanow-clue-cal=
l-flow-01.txt

Hi Allyn,

I for sure agree that we shouldn't "overload" SDP, but that's not the only =
way to carry information out-of-band.

Note that I am not suggesting to replace the SCTP channel with an out-of-ba=
nd solution. I'm only saying that we need to consider whether some informat=
ion is needed by intermediaries, and then figure out how to acheive that.

Regards,

Christer

________________________________________
From: Allyn Romanow (allyn) [allyn@cisco.com]
Sent: Friday, July 13, 2012 5:43 AM
To: Christer Holmberg; CLUE (clue@ietf.org)
Subject: RE: [clue] FW: New Version Notification for    draft-romanow-clue-=
call-flow-01.txt

Hi Christer-
Assuming b-- that any intermediary needing CLUE info will need to do CLUE.

In conjunction with the work we did on using SDP to carry CLUE messages, wh=
ich Flemming gave a presentation on at IETF, we tried to ascertain what inf=
o an intermediary would want from CLUE that it couldn't get from SDP. It wa=
s difficult to get a really definitive answer to this question. Generally p=
eople felt that bandwidth was the important information and that is availab=
le in SDP.

After concluding that it was infeasible to carry CLUE messages in SDP, we a=
lso felt that if there is some specific information not available in SDP if=
 it appropriate, we could consider adding it to SDP; but if an intermediary=
 wanted much CLUE info, they'd have to speak CLUE.

Make sense?

A

-----Original Message-----
From: Christer Holmberg [mailto:christer.holmberg@ericsson.com]
Sent: Thursday, July 12, 2012 4:26 PM
To: Allyn Romanow (allyn); CLUE (clue@ietf.org)
Subject: RE: [clue] FW: New Version Notification for draft-romanow-clue-cal=
l-flow-01.txt

Hi Allyn,

As you use a SCTP user-plane channel to send the CLUE information (in order=
 to be alligned with RTCWEB), do you assume that:

a) No intermediary will need the CLUE information sent in the SCTP channel;=
 or
b) Any intermediary that will need the CLUE information will insert itself =
on the CLUE channel path?

Regards,

Christer


________________________________________
From: clue-bounces@ietf.org [clue-bounces@ietf.org] On Behalf Of Allyn Roma=
now (allyn) [allyn@cisco.com]
Sent: Thursday, July 12, 2012 5:07 AM
To: CLUE (clue@ietf.org)
Subject: [clue] FW: New Version Notification for        draft-romanow-clue-=
call-flow-01.txt

Hi Folks,
I just submitted a call flow document, as I volunteered to do at the last i=
nterim.
This was a completely collaborative effort with Rob Hansen, whom you probab=
ly know, and Arun Krishna, whom you probably don't know. Arun is a SIP expe=
rt in the Cisco Telepresence group.

This is a -01 version as I improved the formatting from the -00 submitted M=
onday.

This is obviously not meant as a proposal but as a discussion piece to help=
 us to make decisions for implementing the framework.

Best regards,
Allyn

-----Original Message-----
From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
Sent: Wednesday, July 11, 2012 7:00 PM
To: Allyn Romanow (allyn)
Cc: Arun Krishna (arukrish); Robert Hansen (rohanse2)
Subject: New Version Notification for draft-romanow-clue-call-flow-01.txt


A new version of I-D, draft-romanow-clue-call-flow-01.txt
has been successfully submitted by Allyn Romanow and posted to the IETF rep=
ository.

Filename:        draft-romanow-clue-call-flow
Revision:        01
Title:           Call Flow for CLUE
Creation date:   2012-07-12
WG ID:           Individual Submission
Number of pages: 41
URL:             http://www.ietf.org/internet-drafts/draft-romanow-clue-cal=
l-flow-01.txt
Status:          http://datatracker.ietf.org/doc/draft-romanow-clue-call-fl=
ow
Htmlized:        http://tools.ietf.org/html/draft-romanow-clue-call-flow-01
Diff:            http://tools.ietf.org/rfcdiff?url2=3Ddraft-romanow-clue-ca=
ll-flow-01

Abstract:
   This draft shows the CLUE call flow demonstrating the use of CLUE in
   SIP.  It also provides information about the message and syntax for
   CLUE transport establishment and other extensions in SDP.  In CLUE
   participants act as both providers and consumers.  The draft includes
   a detailed example of a typical use case which includes both static
   and switched captures.




The IETF Secretariat
_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

From Even.roni@huawei.com  Fri Jul 13 15:17:47 2012
Return-Path: <Even.roni@huawei.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 91C0B11E8107 for <clue@ietfa.amsl.com>; Fri, 13 Jul 2012 15:17:47 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -106.599
X-Spam-Level: 
X-Spam-Status: No, score=-106.599 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id fKFZzmMHD8Jv for <clue@ietfa.amsl.com>; Fri, 13 Jul 2012 15:17:46 -0700 (PDT)
Received: from dfwrgout.huawei.com (dfwrgout.huawei.com [206.16.17.72]) by ietfa.amsl.com (Postfix) with ESMTP id 46F5711E8102 for <clue@ietf.org>; Fri, 13 Jul 2012 15:17:46 -0700 (PDT)
Received: from 172.18.9.243 (EHLO dfweml202-edg.china.huawei.com) ([172.18.9.243]) by dfwrg02-dlp.huawei.com (MOS 4.2.3-GA FastPath) with ESMTP id AHS86695; Fri, 13 Jul 2012 18:18:22 -0400 (EDT)
Received: from DFWEML405-HUB.china.huawei.com (10.193.5.102) by dfweml202-edg.china.huawei.com (172.18.9.108) with Microsoft SMTP Server (TLS) id 14.1.323.3; Fri, 13 Jul 2012 15:18:24 -0700
Received: from SZXEML410-HUB.china.huawei.com (10.82.67.137) by dfweml405-hub.china.huawei.com (10.193.5.102) with Microsoft SMTP Server (TLS) id 14.1.323.3; Fri, 13 Jul 2012 15:18:22 -0700
Received: from SZXEML536-MBX.china.huawei.com ([10.82.67.115]) by szxeml410-hub.china.huawei.com ([10.82.67.137]) with mapi id 14.01.0323.003; Sat, 14 Jul 2012 06:18:18 +0800
From: Roni even <Even.roni@huawei.com>
To: "Allyn Romanow (allyn)" <allyn@cisco.com>, Christer Holmberg <christer.holmberg@ericsson.com>, "CLUE (clue@ietf.org)" <clue@ietf.org>
Thread-Topic: [clue] FW: New Version Notification	for draft-romanow-clue-call-flow-01.txt
Thread-Index: AQHNYIWrjeAKO0jewEynXjw4Ypcb/Zcl+4IAgABSewCAALeFgIAAwE6/
Date: Fri, 13 Jul 2012 22:18:17 +0000
Message-ID: <EADCEEE0AE4A7F46BD61061696794D9819E87F5B@szxeml536-mbx>
References: <20120712020018.21366.80711.idtracker@ietfa.amsl.com>, <FD433719B54BFE41A70641D06F516F130398BF@xmb-aln-x02.cisco.com> <7F2072F1E0DE894DA4B517B93C6A05853407116824@ESESSCMS0356.eemea.ericsson.se>, <FD433719B54BFE41A70641D06F516F1303AA1E@xmb-aln-x02.cisco.com> <7F2072F1E0DE894DA4B517B93C6A05853407116827@ESESSCMS0356.eemea.ericsson.se>, <FD433719B54BFE41A70641D06F516F1303AF29@xmb-aln-x02.cisco.com>
In-Reply-To: <FD433719B54BFE41A70641D06F516F1303AF29@xmb-aln-x02.cisco.com>
Accept-Language: en-US, zh-CN
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [172.24.1.70]
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
X-CFilter-Loop: Reflected
Subject: Re: [clue] FW: New Version Notification	for	draft-romanow-clue-call-flow-01.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 13 Jul 2012 22:17:47 -0000

Hi Allyn,
There was a discussion in MMUSIC when doing capability negotiation and the =
result is in http://tools.ietf.org/html/rfc5939#page-51 (section 3.12 of RF=
C 5939)
This applies not to the CLUE specific information (media captures) but to w=
hat should be declared in SDP so all streams will be known. In practice it =
will be good if all RTP media streams will be declared also in SDP and not =
only in CLUE.
The example in the call flow do not show what is the video m-line. It looks=
 to me from section 5.2 that the draft says that there will be one payload =
type number specified for the video main to create an RTP session but in th=
is session you may have multiple RTP video streams with different SSRCs. I =
am not sure if this will work through intermediaries and I am not sure if i=
t works for any receiver without knowing what is this stream unless you thi=
nk that all the RTP streams have the same codec and coded properties.
Roni

________________________________________
From: clue-bounces@ietf.org [clue-bounces@ietf.org] on behalf of Allyn Roma=
now (allyn) [allyn@cisco.com]
Sent: Friday, July 13, 2012 21:35
To: Christer Holmberg; CLUE (clue@ietf.org)
Subject: Re: [clue] FW: New Version Notification        for     draft-roman=
ow-clue-call-flow-01.txt

Hey Christer-
Any light you or anyone can throw on that question would be great!!

I spent a fair bit of effort "interviewing" people in and outside of my com=
pany who have to do with intermediaries and their customers and concluded t=
hat it wasn't clear..
We can talk offline if you like and I can tell you more about what I learne=
d (or didn't..) :)

cheers

-----Original Message-----
From: Christer Holmberg [mailto:christer.holmberg@ericsson.com]
Sent: Friday, July 13, 2012 12:39 AM
To: Allyn Romanow (allyn); CLUE (clue@ietf.org)
Subject: RE: [clue] FW: New Version Notification for draft-romanow-clue-cal=
l-flow-01.txt

Hi Allyn,

I for sure agree that we shouldn't "overload" SDP, but that's not the only =
way to carry information out-of-band.

Note that I am not suggesting to replace the SCTP channel with an out-of-ba=
nd solution. I'm only saying that we need to consider whether some informat=
ion is needed by intermediaries, and then figure out how to acheive that.

Regards,

Christer

________________________________________
From: Allyn Romanow (allyn) [allyn@cisco.com]
Sent: Friday, July 13, 2012 5:43 AM
To: Christer Holmberg; CLUE (clue@ietf.org)
Subject: RE: [clue] FW: New Version Notification for    draft-romanow-clue-=
call-flow-01.txt

Hi Christer-
Assuming b-- that any intermediary needing CLUE info will need to do CLUE.

In conjunction with the work we did on using SDP to carry CLUE messages, wh=
ich Flemming gave a presentation on at IETF, we tried to ascertain what inf=
o an intermediary would want from CLUE that it couldn't get from SDP. It wa=
s difficult to get a really definitive answer to this question. Generally p=
eople felt that bandwidth was the important information and that is availab=
le in SDP.

After concluding that it was infeasible to carry CLUE messages in SDP, we a=
lso felt that if there is some specific information not available in SDP if=
 it appropriate, we could consider adding it to SDP; but if an intermediary=
 wanted much CLUE info, they'd have to speak CLUE.

Make sense?

A

-----Original Message-----
From: Christer Holmberg [mailto:christer.holmberg@ericsson.com]
Sent: Thursday, July 12, 2012 4:26 PM
To: Allyn Romanow (allyn); CLUE (clue@ietf.org)
Subject: RE: [clue] FW: New Version Notification for draft-romanow-clue-cal=
l-flow-01.txt

Hi Allyn,

As you use a SCTP user-plane channel to send the CLUE information (in order=
 to be alligned with RTCWEB), do you assume that:

a) No intermediary will need the CLUE information sent in the SCTP channel;=
 or
b) Any intermediary that will need the CLUE information will insert itself =
on the CLUE channel path?

Regards,

Christer


________________________________________
From: clue-bounces@ietf.org [clue-bounces@ietf.org] On Behalf Of Allyn Roma=
now (allyn) [allyn@cisco.com]
Sent: Thursday, July 12, 2012 5:07 AM
To: CLUE (clue@ietf.org)
Subject: [clue] FW: New Version Notification for        draft-romanow-clue-=
call-flow-01.txt

Hi Folks,
I just submitted a call flow document, as I volunteered to do at the last i=
nterim.
This was a completely collaborative effort with Rob Hansen, whom you probab=
ly know, and Arun Krishna, whom you probably don't know. Arun is a SIP expe=
rt in the Cisco Telepresence group.

This is a -01 version as I improved the formatting from the -00 submitted M=
onday.

This is obviously not meant as a proposal but as a discussion piece to help=
 us to make decisions for implementing the framework.

Best regards,
Allyn

-----Original Message-----
From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
Sent: Wednesday, July 11, 2012 7:00 PM
To: Allyn Romanow (allyn)
Cc: Arun Krishna (arukrish); Robert Hansen (rohanse2)
Subject: New Version Notification for draft-romanow-clue-call-flow-01.txt


A new version of I-D, draft-romanow-clue-call-flow-01.txt
has been successfully submitted by Allyn Romanow and posted to the IETF rep=
ository.

Filename:        draft-romanow-clue-call-flow
Revision:        01
Title:           Call Flow for CLUE
Creation date:   2012-07-12
WG ID:           Individual Submission
Number of pages: 41
URL:             http://www.ietf.org/internet-drafts/draft-romanow-clue-cal=
l-flow-01.txt
Status:          http://datatracker.ietf.org/doc/draft-romanow-clue-call-fl=
ow
Htmlized:        http://tools.ietf.org/html/draft-romanow-clue-call-flow-01
Diff:            http://tools.ietf.org/rfcdiff?url2=3Ddraft-romanow-clue-ca=
ll-flow-01

Abstract:
   This draft shows the CLUE call flow demonstrating the use of CLUE in
   SIP.  It also provides information about the message and syntax for
   CLUE transport establishment and other extensions in SDP.  In CLUE
   participants act as both providers and consumers.  The draft includes
   a detailed example of a typical use case which includes both static
   and switched captures.




The IETF Secretariat
_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue
_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue=

From internet-drafts@ietf.org  Sat Jul 14 18:46:55 2012
Return-Path: <internet-drafts@ietf.org>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id AEF5B21F85D8; Sat, 14 Jul 2012 18:46:55 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -102.507
X-Spam-Level: 
X-Spam-Status: No, score=-102.507 tagged_above=-999 required=5 tests=[AWL=0.092, BAYES_00=-2.599, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id xRKu7n075xEd; Sat, 14 Jul 2012 18:46:55 -0700 (PDT)
Received: from ietfa.amsl.com (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id E761E21F85D0; Sat, 14 Jul 2012 18:46:54 -0700 (PDT)
MIME-Version: 1.0
Content-Type: text/plain; charset="utf-8"
Content-Transfer-Encoding: quoted-printable
From: internet-drafts@ietf.org
To: i-d-announce@ietf.org
X-Test-IDTracker: no
X-IETF-IDTracker: 4.30p3
Message-ID: <20120715014654.16902.4642.idtracker@ietfa.amsl.com>
Date: Sat, 14 Jul 2012 18:46:54 -0700
Cc: clue@ietf.org
Subject: [clue] I-D Action: draft-ietf-clue-telepresence-requirements-02.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Sun, 15 Jul 2012 01:46:56 -0000

A New Internet-Draft is available from the on-line Internet-Drafts director=
ies.
 This draft is a work item of the ControLling mUltiple streams for tElepres=
ence Working Group of the IETF.

	Title           : Requirements for Telepresence Multi-Streams
	Author(s)       : Allyn Romanow
                          Stephen Botzko
	Filename        : draft-ietf-clue-telepresence-requirements-02.txt
	Pages           : 13
	Date            : 2012-07-14

Abstract:
   This memo discusses the requirements for a specification that enables
   telepresence interoperability, by describing the relationship between
   multiple RTP streams.  In addition, the problem statement and
   definitions are also covered herein.


The IETF datatracker status page for this draft is:
https://datatracker.ietf.org/doc/draft-ietf-clue-telepresence-requirements

There's also a htmlized version available at:
http://tools.ietf.org/html/draft-ietf-clue-telepresence-requirements-02

A diff from previous version is available at:
http://tools.ietf.org/rfcdiff?url2=3Ddraft-ietf-clue-telepresence-requireme=
nts-02


Internet-Drafts are also available by anonymous FTP at:
ftp://ftp.ietf.org/internet-drafts/


From mary.ietf.barnes@gmail.com  Mon Jul 16 09:03:51 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 0BCC821F858E for <clue@ietfa.amsl.com>; Mon, 16 Jul 2012 09:03:51 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.539
X-Spam-Level: 
X-Spam-Status: No, score=-103.539 tagged_above=-999 required=5 tests=[AWL=0.059, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id z4ht4gJu6oVP for <clue@ietfa.amsl.com>; Mon, 16 Jul 2012 09:03:50 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id 61BBE21F858D for <clue@ietf.org>; Mon, 16 Jul 2012 09:03:50 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so10881217obb.31 for <clue@ietf.org>; Mon, 16 Jul 2012 09:04:35 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :content-type; bh=joisE5piKB1Gjha9ciwOqIjUsi2nSBbipWSOYmqD6u8=; b=WQRWL9KhiFpetNZVBEovtojwf9u8NCG2G8Bfj4uCqjvrmBzUJH0avfDrfL9Yl4UcIt q8gpvPEMDmThtTgbvtkuxVhyOSZ0LG35KiyKAddMAU7wlP2S6Ga4ezOEGXh5dWL2lveL 0dKBJhy9VWKH/RW63Q/ts8ZIXCAN0oIHtc6HAcNgyo04b5LPVOjW6nX08mhkVojixBeQ fGcARVa9EkXB9H3nKU3EpX52LYml+BS/i1wYnhzGbEcA0vFcIK189yqz3E3sw3nqd5Kh 3680AsALyGFMEM03/uwk7BLCLXqxHTQuQPGcvfzAKIs4+XBBqFn3PfFHG32o0Mm5F7Za W07w==
MIME-Version: 1.0
Received: by 10.182.14.101 with SMTP id o5mr16585620obc.1.1342454675025; Mon, 16 Jul 2012 09:04:35 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Mon, 16 Jul 2012 09:04:35 -0700 (PDT)
In-Reply-To: <20120716160144.12686.37622.idtracker@ietfa.amsl.com>
References: <20120716160144.12686.37622.idtracker@ietfa.amsl.com>
Date: Mon, 16 Jul 2012 11:04:35 -0500
Message-ID: <CAHBDyN6ch3nv0THpnD1quvf-ef3KLr-B_NJ4w-jyi=FiEHQOAg@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=14dae9399bad082ebe04c4f4964f
Subject: [clue] Fwd: Internet Draft Final Submission Cut-off Date Today
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 16 Jul 2012 16:03:51 -0000

--14dae9399bad082ebe04c4f4964f
Content-Type: text/plain; charset=ISO-8859-1

---------- Forwarded message ----------
From: IETF Secretariat <ietf-secretariat@ietf.org>
Date: Mon, Jul 16, 2012 at 11:01 AM
Subject: Internet Draft Final Submission Cut-off Date Today
To: IETF Announcement List <ietf-announce@ietf.org>



This is a reminder that the Internet Draft Final Submission (version -01
and up) Cut-off is today.

All Final Version (-01 and up) submissions are due by UTC 24:00 Monday,
July 16.

All drafts can be uploaded using the ID submission tool located here:
https://datatracker.ietf.org/submit/

Thank you!

--14dae9399bad082ebe04c4f4964f
Content-Type: text/html; charset=ISO-8859-1

<br><br><div class="gmail_quote">---------- Forwarded message ----------<br>From: <b class="gmail_sendername">IETF Secretariat</b> <span dir="ltr">&lt;<a href="mailto:ietf-secretariat@ietf.org">ietf-secretariat@ietf.org</a>&gt;</span><br>
Date: Mon, Jul 16, 2012 at 11:01 AM<br>Subject: Internet Draft Final Submission Cut-off Date Today<br>To: IETF Announcement List &lt;<a href="mailto:ietf-announce@ietf.org">ietf-announce@ietf.org</a>&gt;<br><br><br><br>
This is a reminder that the Internet Draft Final Submission (version -01<br>
and up) Cut-off is today.<br>
<br>
All Final Version (-01 and up) submissions are due by UTC 24:00 Monday, July 16.<br>
<br>
All drafts can be uploaded using the ID submission tool located here:<br>
<a href="https://datatracker.ietf.org/submit/" target="_blank">https://datatracker.ietf.org/submit/</a><br>
<br>
Thank you!<br>
</div><br>

--14dae9399bad082ebe04c4f4964f--

From mary.ietf.barnes@gmail.com  Mon Jul 16 12:04:09 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id A795811E82BD for <clue@ietfa.amsl.com>; Mon, 16 Jul 2012 12:04:09 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.542
X-Spam-Level: 
X-Spam-Status: No, score=-103.542 tagged_above=-999 required=5 tests=[AWL=0.056, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id pme86lyC2YPp for <clue@ietfa.amsl.com>; Mon, 16 Jul 2012 12:04:08 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id D1F7C11E82A1 for <clue@ietf.org>; Mon, 16 Jul 2012 12:03:55 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so11098315obb.31 for <clue@ietf.org>; Mon, 16 Jul 2012 12:04:41 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:date:message-id:subject:from:to:cc:content-type; bh=AEJvykLep7LtCwTSebjgAFtLY7WJfurntOCQkP+HCdU=; b=gDK31kYelhbpWhH3gVvMvxiRFcT/MOSwyHsklCysNnxRHGIVJmF0ejqVxUGdLrNJ7Y kK8YKVYRdDOmgDTtFVA6IyGvjE4nyWkTPzKhU0JfSPk0Nm6Z9xcFLsODrDt0/qrVOCFA 0GDbgPzwaIigiiJpuHOmk21aS9faKTPUkOhFxLryUq9U02NUHmqWYdvNlU5XRK844LWt mmBFv1zqC2JvtCXsUUgohFTJdCArbBaGGxSGlnl9wlp9hmMvtuX0IPL3CNPnWyT4Qkbw l3hxX0MeAAwXNyOCrxHkAzUsWKKOY5magAbVapNPffMeZh+fJSengWVWPBDYhi4nY0kB 5R7Q==
MIME-Version: 1.0
Received: by 10.182.14.101 with SMTP id o5mr17386370obc.1.1342465481047; Mon, 16 Jul 2012 12:04:41 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Mon, 16 Jul 2012 12:04:41 -0700 (PDT)
Date: Mon, 16 Jul 2012 14:04:41 -0500
Message-ID: <CAHBDyN51G6YtaZ9otA91KX_+XUsAE4q6tHRiZYsxNZAC2dWORg@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=14dae9399bad1f003e04c4f71a47
Subject: [clue] Design team meeting: July 17th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 16 Jul 2012 19:04:10 -0000

--14dae9399bad1f003e04c4f71a47
Content-Type: text/plain; charset=ISO-8859-1

Hi all,

I know everyone is busily working on draft updates for the deadline today.
 However, I would still like to stick with the plan of going over materials
for the tutorial tomorrow - July 17th. The expectation is to have the final
versions ready next week for our design team call on the 24th before
IETF-84.  Even a rough version or outline will help us to make sure we
don't have overlaps and that the material will flow better. The idea is
that we will have one chart package with everything together so we won't
have to switch presentations during the tutorial.

Please send me what you have no later than 8am Central tomorrow morning, so
I can get them uploaded to the wiki before the meeting.

Thanks,
Mary.

--14dae9399bad1f003e04c4f71a47
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

Hi all,<div><br></div><div>I know everyone is busily working on draft updat=
es for the deadline today. =A0However, I would still like to stick with the=
 plan of going over materials for the tutorial tomorrow - July 17th. The ex=
pectation is to have the final versions ready next week for our design team=
 call on the 24th before IETF-84. =A0Even a rough version or outline will h=
elp us to make sure we don&#39;t have overlaps and that the material will f=
low better. The idea is that we will have one chart package with everything=
 together so we won&#39;t have to switch presentations during the tutorial.=
 =A0=A0</div>
<div><br></div><div>Please send me what you have no later than 8am Central =
tomorrow morning, so I can get them uploaded to the wiki before the meeting=
.</div><div><br></div><div>Thanks,</div><div>Mary.=A0</div>

--14dae9399bad1f003e04c4f71a47--

From allyn@cisco.com  Mon Jul 16 15:50:50 2012
Return-Path: <allyn@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id A794311E8079 for <clue@ietfa.amsl.com>; Mon, 16 Jul 2012 15:50:50 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[AWL=0.000, BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 6rm+3fRXcUbn for <clue@ietfa.amsl.com>; Mon, 16 Jul 2012 15:50:50 -0700 (PDT)
Received: from rcdn-iport-8.cisco.com (rcdn-iport-8.cisco.com [173.37.86.79]) by ietfa.amsl.com (Postfix) with ESMTP id 1D7CD11E8107 for <clue@ietf.org>; Mon, 16 Jul 2012 15:50:49 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=allyn@cisco.com; l=1992; q=dns/txt; s=iport; t=1342479095; x=1343688695; h=from:to:subject:date:message-id:references:in-reply-to: content-transfer-encoding:mime-version; bh=//EY0HbGR36Y9DwjkXNaanNSyhsMkOgoas5Dm29h8Y0=; b=bmL3B0mvvgW5kcN9vX0a+8yWGWDslc1zQ8cFi5B0G6ocXtGfzTz+0wGu zYN2qtPIpPM7QXCweXr/HfZgtvYDSOO/u8rEcvidxtBzPxctBJx6hBhZ3 YaJzDbE1wRzbMJ6JA8PENOlKb6E8TK+kdsNu9BSD0vfgqLV/NG2SagCKv Q=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: AgIFAB6aBFCtJXG8/2dsb2JhbABFhWmyToEcgQeCIAEBAQQSARARQw4EAgEIEQQBAQMCBh0DAgICMBQBBgEBBQMCBBMIARmHawucHY0ZkwWBIIoghTUyYAOWTY0OgWaCXw
X-IronPort-AV: E=Sophos;i="4.77,597,1336348800"; d="scan'208";a="102416554"
Received: from rcdn-core2-1.cisco.com ([173.37.113.188]) by rcdn-iport-8.cisco.com with ESMTP; 16 Jul 2012 22:51:34 +0000
Received: from xhc-rcd-x03.cisco.com (xhc-rcd-x03.cisco.com [173.37.183.77]) by rcdn-core2-1.cisco.com (8.14.5/8.14.5) with ESMTP id q6GMpY3t031692 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL) for <clue@ietf.org>; Mon, 16 Jul 2012 22:51:34 GMT
Received: from xmb-aln-x02.cisco.com ([169.254.5.178]) by xhc-rcd-x03.cisco.com ([173.37.183.77]) with mapi id 14.02.0298.004; Mon, 16 Jul 2012 17:51:34 -0500
From: "Allyn Romanow (allyn)" <allyn@cisco.com>
To: "CLUE (clue@ietf.org)" <clue@ietf.org>
Thread-Topic: New Version Notification for draft-romanow-clue-call-flow-02.txt
Thread-Index: AQHNY6SL3MuK9KCS5kmKK7QSAtAlEpcsg7yw
Date: Mon, 16 Jul 2012 22:51:34 +0000
Message-ID: <FD433719B54BFE41A70641D06F516F1303D01A@xmb-aln-x02.cisco.com>
References: <20120716224332.6773.12149.idtracker@ietfa.amsl.com>
In-Reply-To: <20120716224332.6773.12149.idtracker@ietfa.amsl.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.21.148.13]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19042.007
x-tm-as-result: No--29.041600-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="utf-8"
Content-Transfer-Encoding: base64
MIME-Version: 1.0
Subject: [clue] FW: New Version Notification for draft-romanow-clue-call-flow-02.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 16 Jul 2012 22:50:50 -0000
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From mary.ietf.barnes@gmail.com  Mon Jul 16 17:45:28 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 6CAD211E80BC for <clue@ietfa.amsl.com>; Mon, 16 Jul 2012 17:45:28 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.543
X-Spam-Level: 
X-Spam-Status: No, score=-103.543 tagged_above=-999 required=5 tests=[AWL=0.055, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id uYMvJ4nI-vOm for <clue@ietfa.amsl.com>; Mon, 16 Jul 2012 17:45:27 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id A3A4811E8093 for <clue@ietf.org>; Mon, 16 Jul 2012 17:45:27 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so11490304obb.31 for <clue@ietf.org>; Mon, 16 Jul 2012 17:46:13 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=VRKp5tYkqUSbCfhc70eNcgtPigBoZpNXnNS6nNJA0M8=; b=H+Y7iHGe2Xt+cyAPLwDzjGGXsFQDAlLHgwT31nag1Nvip9qw+ki7r8C/IrsYeLdXnb AnElLssZANqvjyr8bxUG01NmKvAKPNmgDxL/Aa6s/b/4n4yMi/FqKOQV8WoFCvBRapjY r9BGLl/2sHilPPwBRcUmDn8p6fm83KEHbtvwpdb8cxe/18b5NpH1e5AXY1/OmHlVrvb4 jwSFeBXSw2yg0nAte2JxTQnNiKFo7Lj+aCXb1610Firsqty21vDH49LrzLi8IT2W+B9B msitF8LNXS62zFzctp+mLAxnmNnGX5n3A2eoryf7OklHwk1B0kFa8uGxeNIplXLEXL4O eH1Q==
MIME-Version: 1.0
Received: by 10.60.10.99 with SMTP id h3mr452617oeb.72.1342485973437; Mon, 16 Jul 2012 17:46:13 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Mon, 16 Jul 2012 17:46:13 -0700 (PDT)
In-Reply-To: <CAHBDyN51G6YtaZ9otA91KX_+XUsAE4q6tHRiZYsxNZAC2dWORg@mail.gmail.com>
References: <CAHBDyN51G6YtaZ9otA91KX_+XUsAE4q6tHRiZYsxNZAC2dWORg@mail.gmail.com>
Date: Mon, 16 Jul 2012 19:46:13 -0500
Message-ID: <CAHBDyN5AZ_L=k48TYM4RwHccE-9xqcpy06bGUK1pHedX9DO94Q@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=e89a8fb1fbfa900e1d04c4fbdf30
Subject: Re: [clue] Design team meeting: July 17th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 17 Jul 2012 00:45:28 -0000

--e89a8fb1fbfa900e1d04c4fbdf30
Content-Type: text/plain; charset=ISO-8859-1

I have combined the presentations I have received by this time (overview,
use cases (Roni's from last week) and framework) into a single
presentation.  The wiki doesn't like the large .ppt file, so I have just
uploaded the file in the meeting proceedings (which we would need to do in
the end anyways).

We will go over this on the call tomorrow:
http://www.ietf.org/proceedings/84/clue.html

Also, if someone could volunteer to take notes ahead of time, that would be
helpful.

Thanks,
Mary.

On Mon, Jul 16, 2012 at 2:04 PM, Mary Barnes <mary.ietf.barnes@gmail.com>wrote:

> Hi all,
>
> I know everyone is busily working on draft updates for the deadline today.
>  However, I would still like to stick with the plan of going over materials
> for the tutorial tomorrow - July 17th. The expectation is to have the final
> versions ready next week for our design team call on the 24th before
> IETF-84.  Even a rough version or outline will help us to make sure we
> don't have overlaps and that the material will flow better. The idea is
> that we will have one chart package with everything together so we won't
> have to switch presentations during the tutorial.
>
> Please send me what you have no later than 8am Central tomorrow morning,
> so I can get them uploaded to the wiki before the meeting.
>
> Thanks,
> Mary.
>

--e89a8fb1fbfa900e1d04c4fbdf30
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

I have combined the presentations I have received by this time (overview, u=
se cases (Roni&#39;s from last week) and framework) into a single presentat=
ion. =A0The wiki doesn&#39;t like the large .ppt file, so I have just uploa=
ded the file in the meeting proceedings (which we would need to do in the e=
nd anyways).=A0<div>
<br></div><div>We will go over this on the call tomorrow:</div><div><a href=
=3D"http://www.ietf.org/proceedings/84/clue.html">http://www.ietf.org/proce=
edings/84/clue.html</a></div><div><br></div><div>Also, if someone could vol=
unteer to take notes ahead of time, that would be helpful.=A0</div>
<div><br></div><div>Thanks,</div><div>Mary.</div><div><br><div class=3D"gma=
il_quote">On Mon, Jul 16, 2012 at 2:04 PM, Mary Barnes <span dir=3D"ltr">&l=
t;<a href=3D"mailto:mary.ietf.barnes@gmail.com" target=3D"_blank">mary.ietf=
.barnes@gmail.com</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">Hi all,<div><br></div><div>I know everyone i=
s busily working on draft updates for the deadline today. =A0However, I wou=
ld still like to stick with the plan of going over materials for the tutori=
al tomorrow - July 17th. The expectation is to have the final versions read=
y next week for our design team call on the 24th before IETF-84. =A0Even a =
rough version or outline will help us to make sure we don&#39;t have overla=
ps and that the material will flow better. The idea is that we will have on=
e chart package with everything together so we won&#39;t have to switch pre=
sentations during the tutorial. =A0=A0</div>

<div><br></div><div>Please send me what you have no later than 8am Central =
tomorrow morning, so I can get them uploaded to the wiki before the meeting=
.</div><div><br></div><div>Thanks,</div><div>Mary.=A0</div>
</blockquote></div><br></div>

--e89a8fb1fbfa900e1d04c4fbdf30--

From michael.hammer@yaanatech.com  Tue Jul 17 06:33:54 2012
Return-Path: <michael.hammer@yaanatech.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 3511F21F8704 for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 06:33:54 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.598
X-Spam-Level: 
X-Spam-Status: No, score=-2.598 tagged_above=-999 required=5 tests=[AWL=-0.000, BAYES_00=-2.599, HTML_MESSAGE=0.001]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id qyxosjmBYG+H for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 06:33:53 -0700 (PDT)
Received: from email1.corp.yaanatech.com (email1.corp.yaanatech.com [205.140.198.134]) by ietfa.amsl.com (Postfix) with ESMTP id 8E1A521F8705 for <clue@ietf.org>; Tue, 17 Jul 2012 06:33:53 -0700 (PDT)
Received: from EX2K10MB2.corp.yaanatech.com ([fe80::5d11:66a1:e508:6871]) by ex2k10hub1.corp.yaanatech.com ([::1]) with mapi id 14.01.0218.012; Tue, 17 Jul 2012 06:34:40 -0700
From: Michael Hammer <michael.hammer@yaanatech.com>
To: "mary.ietf.barnes@gmail.com" <mary.ietf.barnes@gmail.com>, "clue@ietf.org" <clue@ietf.org>
Thread-Topic: [clue] Design team meeting: July 17th, 2012
Thread-Index: AQHNY4Xq9HQcQQ7fgUOW5LfttXLthJctGW6AgABg8MA=
Date: Tue, 17 Jul 2012 13:34:40 +0000
Message-ID: <00C069FD01E0324C9FFCADF539701DB38CA3C6@ex2k10mb2.corp.yaanatech.com>
References: <CAHBDyN51G6YtaZ9otA91KX_+XUsAE4q6tHRiZYsxNZAC2dWORg@mail.gmail.com> <CAHBDyN5AZ_L=k48TYM4RwHccE-9xqcpy06bGUK1pHedX9DO94Q@mail.gmail.com>
In-Reply-To: <CAHBDyN5AZ_L=k48TYM4RwHccE-9xqcpy06bGUK1pHedX9DO94Q@mail.gmail.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: yes
X-MS-TNEF-Correlator: 
x-originating-ip: [10.17.88.7]
Content-Type: multipart/signed; micalg=SHA1; protocol="application/x-pkcs7-signature"; boundary="----=_NextPart_000_001E_01CD63FF.62A36C60"
MIME-Version: 1.0
Subject: Re: [clue] Design team meeting: July 17th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 17 Jul 2012 13:33:54 -0000

------=_NextPart_000_001E_01CD63FF.62A36C60
Content-Type: multipart/alternative;
	boundary="----=_NextPart_001_001F_01CD63FF.62A36C60"


------=_NextPart_001_001F_01CD63FF.62A36C60
Content-Type: text/plain;
	charset="US-ASCII"
Content-Transfer-Encoding: 7bit

Mary,

 

There is one disconnect in the slides.  

Slide 6 says TP is not about multiple streams.  

Slide 22 then says it is about multiple streams.

Which is it?

 

Mike

 

 

From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Mary
Barnes
Sent: Monday, July 16, 2012 8:46 PM
To: CLUE
Subject: Re: [clue] Design team meeting: July 17th, 2012

 

I have combined the presentations I have received by this time (overview,
use cases (Roni's from last week) and framework) into a single presentation.
The wiki doesn't like the large .ppt file, so I have just uploaded the file
in the meeting proceedings (which we would need to do in the end anyways). 

 

We will go over this on the call tomorrow:

http://www.ietf.org/proceedings/84/clue.html

 

Also, if someone could volunteer to take notes ahead of time, that would be
helpful. 

 

Thanks,

Mary.

 

On Mon, Jul 16, 2012 at 2:04 PM, Mary Barnes <mary.ietf.barnes@gmail.com>
wrote:

Hi all,

 

I know everyone is busily working on draft updates for the deadline today.
However, I would still like to stick with the plan of going over materials
for the tutorial tomorrow - July 17th. The expectation is to have the final
versions ready next week for our design team call on the 24th before
IETF-84.  Even a rough version or outline will help us to make sure we don't
have overlaps and that the material will flow better. The idea is that we
will have one chart package with everything together so we won't have to
switch presentations during the tutorial.   

 

Please send me what you have no later than 8am Central tomorrow morning, so
I can get them uploaded to the wiki before the meeting.

 

Thanks,

Mary. 

 


------=_NextPart_001_001F_01CD63FF.62A36C60
Content-Type: text/html;
	charset="US-ASCII"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" =
xmlns:o=3D"urn:schemas-microsoft-com:office:office" =
xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" =
xmlns=3D"http://www.w3.org/TR/REC-html40"><head><META =
HTTP-EQUIV=3D"Content-Type" CONTENT=3D"text/html; =
charset=3Dus-ascii"><meta name=3DGenerator content=3D"Microsoft Word 14 =
(filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
span.EmailStyle17
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue =
vlink=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Mary,<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>There is one disconnect in the slides.&nbsp; <o:p></o:p></span></p><p =
class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Slide 6 says TP is not about multiple streams.&nbsp; =
<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Slide 22 then says it is about multiple =
streams.<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Which is it?<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Mike<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span>=
</b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] <b>On Behalf Of =
</b>Mary Barnes<br><b>Sent:</b> Monday, July 16, 2012 8:46 =
PM<br><b>To:</b> CLUE<br><b>Subject:</b> Re: [clue] Design team meeting: =
July 17th, 2012<o:p></o:p></span></p><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>I have =
combined the presentations I have received by this time (overview, use =
cases (Roni's from last week) and framework) into a single presentation. =
&nbsp;The wiki doesn't like the large .ppt file, so I have just uploaded =
the file in the meeting proceedings (which we would need to do in the =
end anyways).&nbsp;<o:p></o:p></p><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>We will go over this on the call =
tomorrow:<o:p></o:p></p></div><div><p class=3DMsoNormal><a =
href=3D"http://www.ietf.org/proceedings/84/clue.html">http://www.ietf.org=
/proceedings/84/clue.html</a><o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>Also, if someone could volunteer to take notes ahead =
of time, that would be helpful.&nbsp;<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>Thanks,<o:p></o:p></p></div><div><p =
class=3DMsoNormal>Mary.<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><div><p class=3DMsoNormal>On Mon, =
Jul 16, 2012 at 2:04 PM, Mary Barnes &lt;<a =
href=3D"mailto:mary.ietf.barnes@gmail.com" =
target=3D"_blank">mary.ietf.barnes@gmail.com</a>&gt; =
wrote:<o:p></o:p></p><p class=3DMsoNormal>Hi all,<o:p></o:p></p><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p class=3DMsoNormal>I =
know everyone is busily working on draft updates for the deadline today. =
&nbsp;However, I would still like to stick with the plan of going over =
materials for the tutorial tomorrow - July 17th. The expectation is to =
have the final versions ready next week for our design team call on the =
24th before IETF-84. &nbsp;Even a rough version or outline will help us =
to make sure we don't have overlaps and that the material will flow =
better. The idea is that we will have one chart package with everything =
together so we won't have to switch presentations during the tutorial. =
&nbsp;&nbsp;<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>Please send me what you have no later than 8am Central =
tomorrow morning, so I can get them uploaded to the wiki before the =
meeting.<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>Thanks,<o:p></o:p></p></div><div><p =
class=3DMsoNormal>Mary.&nbsp;<o:p></o:p></p></div></div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div></div></body></html>
------=_NextPart_001_001F_01CD63FF.62A36C60--

------=_NextPart_000_001E_01CD63FF.62A36C60
Content-Type: application/pkcs7-signature; name="smime.p7s"
Content-Transfer-Encoding: base64
Content-Disposition: attachment; filename="smime.p7s"
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------=_NextPart_000_001E_01CD63FF.62A36C60--

From espeberg@cisco.com  Tue Jul 17 07:00:24 2012
Return-Path: <espeberg@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 747C821F86EC for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 07:00:24 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.598
X-Spam-Level: 
X-Spam-Status: No, score=-10.598 tagged_above=-999 required=5 tests=[AWL=-0.000, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id N+0D+gVEch8R for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 07:00:22 -0700 (PDT)
Received: from rcdn-iport-6.cisco.com (rcdn-iport-6.cisco.com [173.37.86.77]) by ietfa.amsl.com (Postfix) with ESMTP id 3D56321F86A5 for <clue@ietf.org>; Tue, 17 Jul 2012 07:00:22 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=espeberg@cisco.com; l=17206; q=dns/txt; s=iport; t=1342533670; x=1343743270; h=from:to:subject:date:message-id:references:in-reply-to: mime-version; bh=lMih5UwAPWptDYqj9VNdmX1xJxqx73uyivNSi6DWleU=; b=ITuNHeNIhA6cyuBfadoVqbcZ6omj8lGhoc5irbC1caBAKnTEp849TtG1 M3XCVlOFHtbzPa7c51mwGwR/WIwxeEqjJ9hXQRZHPHAePMhjEc19hHaeU nhqFcFW5M+TywlFDRQDAX63juQFu/WnSPLK06Sj8M7oYSeXcfsazpyj2w A=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: AgAFAFVvBVCtJXG//2dsb2JhbABFgkq3BoEHgiABAQEEEgEaOyECAQgRBAEBCx0HIREUCQgCBAESCAEZh1wDDAucc5ZUDYlOiltlhWdgA6BDgxyBZoJf
X-IronPort-AV: E=Sophos;i="4.77,603,1336348800";  d="scan'208,217";a="102623747"
Received: from rcdn-core2-4.cisco.com ([173.37.113.191]) by rcdn-iport-6.cisco.com with ESMTP; 17 Jul 2012 14:01:09 +0000
Received: from xhc-aln-x15.cisco.com (xhc-aln-x15.cisco.com [173.36.12.89]) by rcdn-core2-4.cisco.com (8.14.5/8.14.5) with ESMTP id q6HE18lS023802 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Tue, 17 Jul 2012 14:01:08 GMT
Received: from xmb-rcd-x11.cisco.com ([169.254.1.95]) by xhc-aln-x15.cisco.com ([173.36.12.89]) with mapi id 14.02.0298.004; Tue, 17 Jul 2012 09:01:08 -0500
From: "Espen Berger (espeberg)" <espeberg@cisco.com>
To: Michael Hammer <michael.hammer@yaanatech.com>, "mary.ietf.barnes@gmail.com" <mary.ietf.barnes@gmail.com>, "clue@ietf.org" <clue@ietf.org>
Thread-Topic: [clue] Design team meeting: July 17th, 2012
Thread-Index: AQHNY4XovWr3u+BGfkiGXNMP+SYymZcs9+eAgADWswD//7EdMA==
Date: Tue, 17 Jul 2012 14:01:08 +0000
Message-ID: <E8F5F2C7B2623641BD9ABF0B622D726D021C03@xmb-rcd-x11.cisco.com>
References: <CAHBDyN51G6YtaZ9otA91KX_+XUsAE4q6tHRiZYsxNZAC2dWORg@mail.gmail.com> <CAHBDyN5AZ_L=k48TYM4RwHccE-9xqcpy06bGUK1pHedX9DO94Q@mail.gmail.com> <00C069FD01E0324C9FFCADF539701DB38CA3C6@ex2k10mb2.corp.yaanatech.com>
In-Reply-To: <00C069FD01E0324C9FFCADF539701DB38CA3C6@ex2k10mb2.corp.yaanatech.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.147.112.46]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19046.000
x-tm-as-result: No--44.839400-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: multipart/alternative; boundary="_000_E8F5F2C7B2623641BD9ABF0B622D726D021C03xmbrcdx11ciscocom_"
MIME-Version: 1.0
Subject: Re: [clue] Design team meeting: July 17th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 17 Jul 2012 14:00:24 -0000

--_000_E8F5F2C7B2623641BD9ABF0B622D726D021C03xmbrcdx11ciscocom_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

The slides set talks about what CLUE is and what CLUE can be used to achiev=
e.  I am not sure if we need to exclude anything from the term Telepresence=
 as done on slide 6. Why not spend a slide on examples of use cases where C=
LUE is useful in addition to the Telepresence rooms systems.

Some examples

*         Tele operation where endpoints can send and receive multiple name=
d streams is definitely in the scope of CLUE.

*         Slide 28 mention lecture mode conferences where you broadcast two=
 captures, the 'speaker' and the 'audience'

Cheers

-Espen


From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Mic=
hael Hammer
Sent: 17. juli 2012 15:35
To: mary.ietf.barnes@gmail.com; clue@ietf.org
Subject: Re: [clue] Design team meeting: July 17th, 2012

Mary,

There is one disconnect in the slides.
Slide 6 says TP is not about multiple streams.
Slide 22 then says it is about multiple streams.
Which is it?

Mike


From: clue-bounces@ietf.org<mailto:clue-bounces@ietf.org> [mailto:clue-boun=
ces@ietf.org]<mailto:[mailto:clue-bounces@ietf.org]> On Behalf Of Mary Barn=
es
Sent: Monday, July 16, 2012 8:46 PM
To: CLUE
Subject: Re: [clue] Design team meeting: July 17th, 2012

I have combined the presentations I have received by this time (overview, u=
se cases (Roni's from last week) and framework) into a single presentation.=
  The wiki doesn't like the large .ppt file, so I have just uploaded the fi=
le in the meeting proceedings (which we would need to do in the end anyways=
).

We will go over this on the call tomorrow:
http://www.ietf.org/proceedings/84/clue.html

Also, if someone could volunteer to take notes ahead of time, that would be=
 helpful.

Thanks,
Mary.

On Mon, Jul 16, 2012 at 2:04 PM, Mary Barnes <mary.ietf.barnes@gmail.com<ma=
ilto:mary.ietf.barnes@gmail.com>> wrote:
Hi all,

I know everyone is busily working on draft updates for the deadline today. =
 However, I would still like to stick with the plan of going over materials=
 for the tutorial tomorrow - July 17th. The expectation is to have the fina=
l versions ready next week for our design team call on the 24th before IETF=
-84.  Even a rough version or outline will help us to make sure we don't ha=
ve overlaps and that the material will flow better. The idea is that we wil=
l have one chart package with everything together so we won't have to switc=
h presentations during the tutorial.

Please send me what you have no later than 8am Central tomorrow morning, so=
 I can get them uploaded to the wiki before the meeting.

Thanks,
Mary.


--_000_E8F5F2C7B2623641BD9ABF0B622D726D021C03xmbrcdx11ciscocom_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40">
<head>
<meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"=
>
<meta name=3D"Generator" content=3D"Microsoft Word 14 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
	{font-family:Wingdings;
	panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
	{font-family:Wingdings;
	panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0cm;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
p.MsoAcetate, li.MsoAcetate, div.MsoAcetate
	{mso-style-priority:99;
	mso-style-link:"Balloon Text Char";
	margin:0cm;
	margin-bottom:.0001pt;
	font-size:8.0pt;
	font-family:"Tahoma","sans-serif";}
p.MsoListParagraph, li.MsoListParagraph, div.MsoListParagraph
	{mso-style-priority:34;
	margin-top:0cm;
	margin-right:0cm;
	margin-bottom:0cm;
	margin-left:36.0pt;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
span.EmailStyle17
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.EmailStyle18
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.BalloonTextChar
	{mso-style-name:"Balloon Text Char";
	mso-style-priority:99;
	mso-style-link:"Balloon Text";
	font-family:"Tahoma","sans-serif";}
.MsoChpDefault
	{mso-style-type:export-only;
	font-size:10.0pt;}
@page WordSection1
	{size:612.0pt 792.0pt;
	margin:72.0pt 72.0pt 72.0pt 72.0pt;}
div.WordSection1
	{page:WordSection1;}
/* List Definitions */
@list l0
	{mso-list-id:2034263849;
	mso-list-type:hybrid;
	mso-list-template-ids:1437112558 1387064086 68419587 68419589 68419585 684=
19587 68419589 68419585 68419587 68419589;}
@list l0:level1
	{mso-level-start-at:0;
	mso-level-number-format:bullet;
	mso-level-text:\F0B7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:Symbol;
	mso-fareast-font-family:Calibri;
	mso-bidi-font-family:"Times New Roman";}
@list l0:level2
	{mso-level-number-format:bullet;
	mso-level-text:o;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:"Courier New";}
@list l0:level3
	{mso-level-number-format:bullet;
	mso-level-text:\F0A7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:Wingdings;}
@list l0:level4
	{mso-level-number-format:bullet;
	mso-level-text:\F0B7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:Symbol;}
@list l0:level5
	{mso-level-number-format:bullet;
	mso-level-text:o;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:"Courier New";}
@list l0:level6
	{mso-level-number-format:bullet;
	mso-level-text:\F0A7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:Wingdings;}
@list l0:level7
	{mso-level-number-format:bullet;
	mso-level-text:\F0B7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:Symbol;}
@list l0:level8
	{mso-level-number-format:bullet;
	mso-level-text:o;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:"Courier New";}
@list l0:level9
	{mso-level-number-format:bullet;
	mso-level-text:\F0A7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:Wingdings;}
ol
	{margin-bottom:0cm;}
ul
	{margin-bottom:0cm;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang=3D"NO-BOK" link=3D"blue" vlink=3D"purple">
<div class=3D"WordSection1">
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">The slides=
 set talks about what CLUE is and what CLUE can be used to achieve.&nbsp; I=
 am not sure if we need to exclude anything from the term Telepresence
 as done on slide 6. Why not spend a slide on examples of use cases where C=
LUE is useful in addition to the Telepresence rooms systems.<o:p></o:p></sp=
an></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Some examp=
les<o:p></o:p></span></p>
<p class=3D"MsoListParagraph" style=3D"text-indent:-18.0pt;mso-list:l0 leve=
l1 lfo1"><![if !supportLists]><span lang=3D"EN-GB" style=3D"font-size:11.0p=
t;font-family:Symbol;color:#1F497D"><span style=3D"mso-list:Ignore">&middot=
;<span style=3D"font:7.0pt &quot;Times New Roman&quot;">&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span lang=3D"EN-GB" style=3D"font-size:11.0=
pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Te=
le operation where endpoints can send and receive multiple named streams is=
 definitely in the scope of CLUE.
<o:p></o:p></span></p>
<p class=3D"MsoListParagraph" style=3D"text-indent:-18.0pt;mso-list:l0 leve=
l1 lfo1"><![if !supportLists]><span lang=3D"EN-GB" style=3D"font-size:11.0p=
t;font-family:Symbol;color:#1F497D"><span style=3D"mso-list:Ignore">&middot=
;<span style=3D"font:7.0pt &quot;Times New Roman&quot;">&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span lang=3D"EN-GB" style=3D"font-size:11.0=
pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Sl=
ide 28 mention lecture mode conferences where you broadcast two captures, t=
he &#8216;speaker&#8217; and the &#8216;audience&#8217;<o:p></o:p></span></=
p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Cheers<o:p=
></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">-Espen
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0cm =
0cm 0cm">
<p class=3D"MsoNormal"><b><span lang=3D"EN-US" style=3D"font-size:10.0pt;fo=
nt-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span =
lang=3D"EN-US" style=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&qu=
ot;sans-serif&quot;"> clue-bounces@ietf.org [mailto:clue-bounces@ietf.org]
<b>On Behalf Of </b>Michael Hammer<br>
<b>Sent:</b> 17. juli 2012 15:35<br>
<b>To:</b> mary.ietf.barnes@gmail.com; clue@ietf.org<br>
<b>Subject:</b> Re: [clue] Design team meeting: July 17th, 2012<o:p></o:p><=
/span></p>
</div>
</div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Mary,<o:p>=
</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">There is o=
ne disconnect in the slides.&nbsp;
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Slide 6 sa=
ys TP is not about multiple streams.&nbsp;
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Slide 22 t=
hen says it is about multiple streams.<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Which is i=
t?<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Mike<o:p><=
/o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><b><span lang=3D"EN-US" style=3D"font-size:10.0pt;fo=
nt-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span =
lang=3D"EN-US" style=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&qu=
ot;sans-serif&quot;">
<a href=3D"mailto:clue-bounces@ietf.org">clue-bounces@ietf.org</a> <a href=
=3D"mailto:[mailto:clue-bounces@ietf.org]">
[mailto:clue-bounces@ietf.org]</a> <b>On Behalf Of </b>Mary Barnes<br>
<b>Sent:</b> Monday, July 16, 2012 8:46 PM<br>
<b>To:</b> CLUE<br>
<b>Subject:</b> Re: [clue] Design team meeting: July 17th, 2012<o:p></o:p><=
/span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US">I have combined the presentatio=
ns I have received by this time (overview, use cases (Roni's from last week=
) and framework) into a single presentation. &nbsp;The wiki doesn't like th=
e large .ppt file, so I have just uploaded
 the file in the meeting proceedings (which we would need to do in the end =
anyways).&nbsp;<o:p></o:p></span></p>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">We will go over this on the cal=
l tomorrow:<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><a href=3D"http://www.ietf.org/=
proceedings/84/clue.html">http://www.ietf.org/proceedings/84/clue.html</a><=
o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Also, if someone could voluntee=
r to take notes ahead of time, that would be helpful.&nbsp;<o:p></o:p></spa=
n></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Thanks,<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Mary.<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">On Mon, Jul 16, 2012 at 2:04 PM=
, Mary Barnes &lt;<a href=3D"mailto:mary.ietf.barnes@gmail.com" target=3D"_=
blank">mary.ietf.barnes@gmail.com</a>&gt; wrote:<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Hi all,<o:p></o:p></span></p>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">I know everyone is busily worki=
ng on draft updates for the deadline today. &nbsp;However, I would still li=
ke to stick with the plan of going over materials for the tutorial tomorrow=
 - July 17th. The expectation is to have
 the final versions ready next week for our design team call on the 24th be=
fore IETF-84. &nbsp;Even a rough version or outline will help us to make su=
re we don't have overlaps and that the material will flow better. The idea =
is that we will have one chart package
 with everything together so we won't have to switch presentations during t=
he tutorial. &nbsp;&nbsp;<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Please send me what you have no=
 later than 8am Central tomorrow morning, so I can get them uploaded to the=
 wiki before the meeting.<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Thanks,<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Mary.&nbsp;<o:p></o:p></span></=
p>
</div>
</div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
</div>
</div>
</body>
</html>

--_000_E8F5F2C7B2623641BD9ABF0B622D726D021C03xmbrcdx11ciscocom_--

From stephen.botzko@gmail.com  Tue Jul 17 07:57:41 2012
Return-Path: <stephen.botzko@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id B89A321F86DA for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 07:57:41 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.598
X-Spam-Level: 
X-Spam-Status: No, score=-3.598 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id n8yTNHvoY-Vj for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 07:57:40 -0700 (PDT)
Received: from mail-pb0-f44.google.com (mail-pb0-f44.google.com [209.85.160.44]) by ietfa.amsl.com (Postfix) with ESMTP id A2A9B21F86CE for <clue@ietf.org>; Tue, 17 Jul 2012 07:57:40 -0700 (PDT)
Received: by pbcwy7 with SMTP id wy7so982285pbc.31 for <clue@ietf.org>; Tue, 17 Jul 2012 07:58:28 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=mUsNU1w5/hWvuVwG0yQVBRSWlIYLt44YPT99MyoZQmc=; b=tZ3aijIaHEJPiDrsi9J3cla88U2BUiqcfZQPiZR/YasiTxiIS44B9wH6WdYXBfXhqz 8AZgmi1WECZ580Nd5W4nIRjShKM+MxpZBFdQ0PnmkPtRMs6wNjfm3OPAQoSI1NAw9SIx URZoX7MtIVkysfoYgB2YH3PoAurRHaXLsIY5DFsqvsdnCdRHed0lYffm3hoNYyzSLrDp jXIis1EFqY1A34LDf4nt1wM3aSRjmfr7NxAKufmOLScK/XWMH2kzKgrYicYMOPqFhy3l Lb24un+G3MbGOJfLxmJW7CkqpDj9bSThUhF7uzbZSfcr5e2/bXqHkdohJA2s91wbq+Rp e/EQ==
MIME-Version: 1.0
Received: by 10.68.242.168 with SMTP id wr8mr7766237pbc.44.1342537108120; Tue, 17 Jul 2012 07:58:28 -0700 (PDT)
Received: by 10.68.51.101 with HTTP; Tue, 17 Jul 2012 07:58:28 -0700 (PDT)
In-Reply-To: <00C069FD01E0324C9FFCADF539701DB38CA3C6@ex2k10mb2.corp.yaanatech.com>
References: <CAHBDyN51G6YtaZ9otA91KX_+XUsAE4q6tHRiZYsxNZAC2dWORg@mail.gmail.com> <CAHBDyN5AZ_L=k48TYM4RwHccE-9xqcpy06bGUK1pHedX9DO94Q@mail.gmail.com> <00C069FD01E0324C9FFCADF539701DB38CA3C6@ex2k10mb2.corp.yaanatech.com>
Date: Tue, 17 Jul 2012 10:58:28 -0400
Message-ID: <CAMC7SJ7kZfitm1jMD01=hxsj9uoqFewrDmVBz09=5fFhxEd0eA@mail.gmail.com>
From: Stephen Botzko <stephen.botzko@gmail.com>
To: Michael Hammer <michael.hammer@yaanatech.com>
Content-Type: multipart/alternative; boundary=047d7b339cff6d626f04c507c79c
Cc: "clue@ietf.org" <clue@ietf.org>
Subject: Re: [clue] Design team meeting: July 17th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 17 Jul 2012 14:57:41 -0000

--047d7b339cff6d626f04c507c79c
Content-Type: text/plain; charset=ISO-8859-1

>>> Slide 6 says TP is not about multiple streams.
Multiple streams are frequently used in TP.  However, multiple streams by
themselves are not enough to create the co-location experience.  That is
the point of slide 6.

Generally CLUE needs to enable TP, it likely will also be useful for other
applications (some of which are listed on Slide 6).

Steve B.


On Tue, Jul 17, 2012 at 9:34 AM, Michael Hammer <
michael.hammer@yaanatech.com> wrote:

> Mary,****
>
> ** **
>
> There is one disconnect in the slides.  ****
>
> Slide 6 says TP is not about multiple streams.  ****
>
> Slide 22 then says it is about multiple streams.****
>
> Which is it?****
>
> ** **
>
> Mike****
>
> ** **
>
> ** **
>
> *From:* clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] *On Behalf
> Of *Mary Barnes
> *Sent:* Monday, July 16, 2012 8:46 PM
> *To:* CLUE
> *Subject:* Re: [clue] Design team meeting: July 17th, 2012****
>
> ** **
>
> I have combined the presentations I have received by this time (overview,
> use cases (Roni's from last week) and framework) into a single
> presentation.  The wiki doesn't like the large .ppt file, so I have just
> uploaded the file in the meeting proceedings (which we would need to do in
> the end anyways). ****
>
> ** **
>
> We will go over this on the call tomorrow:****
>
> http://www.ietf.org/proceedings/84/clue.html****
>
> ** **
>
> Also, if someone could volunteer to take notes ahead of time, that would
> be helpful. ****
>
> ** **
>
> Thanks,****
>
> Mary.****
>
> ** **
>
> On Mon, Jul 16, 2012 at 2:04 PM, Mary Barnes <mary.ietf.barnes@gmail.com>
> wrote:****
>
> Hi all,****
>
> ** **
>
> I know everyone is busily working on draft updates for the deadline today.
>  However, I would still like to stick with the plan of going over materials
> for the tutorial tomorrow - July 17th. The expectation is to have the final
> versions ready next week for our design team call on the 24th before
> IETF-84.  Even a rough version or outline will help us to make sure we
> don't have overlaps and that the material will flow better. The idea is
> that we will have one chart package with everything together so we won't
> have to switch presentations during the tutorial.   ****
>
> ** **
>
> Please send me what you have no later than 8am Central tomorrow morning,
> so I can get them uploaded to the wiki before the meeting.****
>
> ** **
>
> Thanks,****
>
> Mary. ****
>
> ** **
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>
>

--047d7b339cff6d626f04c507c79c
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

&gt;&gt;&gt; <span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot=
;,&quot;sans-serif&quot;;color:#1f497d">Slide 6 says TP is not about multip=
le streams.=A0 <br>Multiple streams are frequently used in TP.=A0 However, =
multiple streams by themselves are not enough to create the co-location exp=
erience.=A0 That is the point of slide 6.<br>
<br>Generally CLUE needs to enable TP, it likely will also be useful for ot=
her applications (some of which are listed on Slide 6).<br><br>Steve B.<br>=
<br></span><br><div class=3D"gmail_quote">On Tue, Jul 17, 2012 at 9:34 AM, =
Michael Hammer <span dir=3D"ltr">&lt;<a href=3D"mailto:michael.hammer@yaana=
tech.com" target=3D"_blank">michael.hammer@yaanatech.com</a>&gt;</span> wro=
te:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex"><div link=3D"blue" vlink=3D"purple" lang=3D"=
EN-US"><div><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-fam=
ily:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">Mary,<u></u><=
u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">There is one disconnec=
t in the slides.=A0 <u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Slide 6 says TP is not ab=
out multiple streams.=A0 <u></u><u></u></span></p><p class=3D"MsoNormal"><s=
pan style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-se=
rif&quot;;color:#1f497d">Slide 22 then says it is about multiple streams.<u=
></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Which is it?<u></u><u></u=
></span></p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-fam=
ily:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u>=
</u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Mike<u></u><u></u></span>=
</p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quo=
t;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></sp=
an></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p><p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&q=
uot;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"fon=
t-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;"> <a hr=
ef=3D"mailto:clue-bounces@ietf.org" target=3D"_blank">clue-bounces@ietf.org=
</a> [mailto:<a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank">clu=
e-bounces@ietf.org</a>] <b>On Behalf Of </b>Mary Barnes<br>
<b>Sent:</b> Monday, July 16, 2012 8:46 PM<br><b>To:</b> CLUE<br><b>Subject=
:</b> Re: [clue] Design team meeting: July 17th, 2012<u></u><u></u></span><=
/p><div><div class=3D"h5"><p class=3D"MsoNormal"><u></u>=A0<u></u></p><p cl=
ass=3D"MsoNormal">
I have combined the presentations I have received by this time (overview, u=
se cases (Roni&#39;s from last week) and framework) into a single presentat=
ion. =A0The wiki doesn&#39;t like the large .ppt file, so I have just uploa=
ded the file in the meeting proceedings (which we would need to do in the e=
nd anyways).=A0<u></u><u></u></p>
<div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></div><div><p class=3D"Mso=
Normal">We will go over this on the call tomorrow:<u></u><u></u></p></div><=
div><p class=3D"MsoNormal"><a href=3D"http://www.ietf.org/proceedings/84/cl=
ue.html" target=3D"_blank">http://www.ietf.org/proceedings/84/clue.html</a>=
<u></u><u></u></p>
</div><div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></div><div><p class=
=3D"MsoNormal">Also, if someone could volunteer to take notes ahead of time=
, that would be helpful.=A0<u></u><u></u></p></div><div><p class=3D"MsoNorm=
al"><u></u>=A0<u></u></p>
</div><div><p class=3D"MsoNormal">Thanks,<u></u><u></u></p></div><div><p cl=
ass=3D"MsoNormal">Mary.<u></u><u></u></p></div><div><p class=3D"MsoNormal">=
<u></u>=A0<u></u></p><div><p class=3D"MsoNormal">On Mon, Jul 16, 2012 at 2:=
04 PM, Mary Barnes &lt;<a href=3D"mailto:mary.ietf.barnes@gmail.com" target=
=3D"_blank">mary.ietf.barnes@gmail.com</a>&gt; wrote:<u></u><u></u></p>
<p class=3D"MsoNormal">Hi all,<u></u><u></u></p><div><p class=3D"MsoNormal"=
><u></u>=A0<u></u></p></div><div><p class=3D"MsoNormal">I know everyone is =
busily working on draft updates for the deadline today. =A0However, I would=
 still like to stick with the plan of going over materials for the tutorial=
 tomorrow - July 17th. The expectation is to have the final versions ready =
next week for our design team call on the 24th before IETF-84. =A0Even a ro=
ugh version or outline will help us to make sure we don&#39;t have overlaps=
 and that the material will flow better. The idea is that we will have one =
chart package with everything together so we won&#39;t have to switch prese=
ntations during the tutorial. =A0=A0<u></u><u></u></p>
</div><div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></div><div><p class=
=3D"MsoNormal">Please send me what you have no later than 8am Central tomor=
row morning, so I can get them uploaded to the wiki before the meeting.<u><=
/u><u></u></p>
</div><div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></div><div><p class=
=3D"MsoNormal">Thanks,<u></u><u></u></p></div><div><p class=3D"MsoNormal">M=
ary.=A0<u></u><u></u></p></div></div><p class=3D"MsoNormal"><u></u>=A0<u></=
u></p></div>
</div></div></div></div><br>_______________________________________________=
<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/listinfo/clue</a><br>
<br></blockquote></div><br>

--047d7b339cff6d626f04c507c79c--

From stephen.botzko@gmail.com  Tue Jul 17 08:09:06 2012
Return-Path: <stephen.botzko@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 68B4F21F8638 for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 08:09:06 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.598
X-Spam-Level: 
X-Spam-Status: No, score=-3.598 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id xO3rlE41Rnql for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 08:09:00 -0700 (PDT)
Received: from mail-gg0-f172.google.com (mail-gg0-f172.google.com [209.85.161.172]) by ietfa.amsl.com (Postfix) with ESMTP id 3410221F8569 for <clue@ietf.org>; Tue, 17 Jul 2012 08:09:00 -0700 (PDT)
Received: by ggnc4 with SMTP id c4so564302ggn.31 for <clue@ietf.org>; Tue, 17 Jul 2012 08:09:47 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=QyrAavTENUZFfFYF4LyR15IjorP7pxLBUM7GIyQ0hx4=; b=g/b2BvqzMpini44y5XH1ioD+z8P8D71x9oXDFkvOHXUVy22MaP3Y0heqyM5/CglbP+ ZZzgmuCp/WReQ8cRuPOtwIEnh4+R/mzQmD/Ysv9yd4Uf9KW1A4cEz02dmz+RH2BfM6RW thw84iXg16qN+L1Qbr2Wq7ts01vGmtVy1lJvqyDJJFlLL6uEBberOqtIICPtsF+MGZoG fBDbxCNq5FhimwQj8EMFLixkzzCxVvSXD2FEjhlMy/whzj+2DTh3dg7DZ16uRSU5Cx+0 ZKUzA6gUxNNEWv2mtqA0dh4nSYYEw+2iiH5F1Fr/UY7Oi2V4De36+3Renss0w3O5XGwr wjuQ==
MIME-Version: 1.0
Received: by 10.68.222.163 with SMTP id qn3mr7465876pbc.135.1342537786865; Tue, 17 Jul 2012 08:09:46 -0700 (PDT)
Received: by 10.68.51.101 with HTTP; Tue, 17 Jul 2012 08:09:46 -0700 (PDT)
In-Reply-To: <E8F5F2C7B2623641BD9ABF0B622D726D021C03@xmb-rcd-x11.cisco.com>
References: <CAHBDyN51G6YtaZ9otA91KX_+XUsAE4q6tHRiZYsxNZAC2dWORg@mail.gmail.com> <CAHBDyN5AZ_L=k48TYM4RwHccE-9xqcpy06bGUK1pHedX9DO94Q@mail.gmail.com> <00C069FD01E0324C9FFCADF539701DB38CA3C6@ex2k10mb2.corp.yaanatech.com> <E8F5F2C7B2623641BD9ABF0B622D726D021C03@xmb-rcd-x11.cisco.com>
Date: Tue, 17 Jul 2012 11:09:46 -0400
Message-ID: <CAMC7SJ7B87KxKVFY1dcVXYvyjU2tM6zzpdX0J9jXGZ8HyHowMg@mail.gmail.com>
From: Stephen Botzko <stephen.botzko@gmail.com>
To: "Espen Berger (espeberg)" <espeberg@cisco.com>
Content-Type: multipart/alternative; boundary=047d7b2eda7be2383b04c507ef4a
Cc: "clue@ietf.org" <clue@ietf.org>
Subject: Re: [clue] Design team meeting: July 17th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 17 Jul 2012 15:09:06 -0000

--047d7b2eda7be2383b04c507ef4a
Content-Type: text/plain; charset=windows-1252
Content-Transfer-Encoding: quoted-printable

Hi Espen

The "introduction to telepresence" section was intended to ground people in
the "classic" telepresence application, It was not intended to describe
CLUE.

So Slide 6 is not aimed at CLUE scope (and I was intending to say that the
CLUE scope is broader than classic telepresence).

As far as the classic application goes, slide 6 is correct.  Tele operation
applications may find CLUE useful (likely they will).  But it is an
application in its own right, and is normally distinguished from
telepresence.  Many tele operation applications do not need a sense of
co-location, they simply need to provide the remote operator the controls
and real-time information they need to perform their task.

Stephen Botzko

On Tue, Jul 17, 2012 at 10:01 AM, Espen Berger (espeberg) <
espeberg@cisco.com> wrote:

>  The slides set talks about what CLUE is and what CLUE can be used to
> achieve.  I am not sure if we need to exclude anything from the term
> Telepresence as done on slide 6. Why not spend a slide on examples of use
> cases where CLUE is useful in addition to the Telepresence rooms systems.=
*
> ***
>
> ** **
>
> Some examples****
>
> **=B7         **Tele operation where endpoints can send and receive
> multiple named streams is definitely in the scope of CLUE. ****
>
> **=B7         **Slide 28 mention lecture mode conferences where you
> broadcast two captures, the =91speaker=92 and the =91audience=92****
>
> ** **
>
> Cheers****
>
> ** **
>
> -Espen ****
>
> ** **
>
> ** **
>
> *From:* clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] *On Behalf
> Of *Michael Hammer
> *Sent:* 17. juli 2012 15:35
> *To:* mary.ietf.barnes@gmail.com; clue@ietf.org
>
> *Subject:* Re: [clue] Design team meeting: July 17th, 2012****
>
>  ** **
>
> Mary,****
>
> ** **
>
> There is one disconnect in the slides.  ****
>
> Slide 6 says TP is not about multiple streams.  ****
>
> Slide 22 then says it is about multiple streams.****
>
> Which is it?****
>
> ** **
>
> Mike****
>
> ** **
>
> ** **
>
> *From:* clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] *On Behalf
> Of *Mary Barnes
> *Sent:* Monday, July 16, 2012 8:46 PM
> *To:* CLUE
> *Subject:* Re: [clue] Design team meeting: July 17th, 2012****
>
> ** **
>
> I have combined the presentations I have received by this time (overview,
> use cases (Roni's from last week) and framework) into a single
> presentation.  The wiki doesn't like the large .ppt file, so I have just
> uploaded the file in the meeting proceedings (which we would need to do i=
n
> the end anyways). ****
>
> ** **
>
> We will go over this on the call tomorrow:****
>
> http://www.ietf.org/proceedings/84/clue.html****
>
> ** **
>
> Also, if someone could volunteer to take notes ahead of time, that would
> be helpful. ****
>
> ** **
>
> Thanks,****
>
> Mary.****
>
> ** **
>
> On Mon, Jul 16, 2012 at 2:04 PM, Mary Barnes <mary.ietf.barnes@gmail.com>
> wrote:****
>
> Hi all,****
>
> ** **
>
> I know everyone is busily working on draft updates for the deadline today=
.
>  However, I would still like to stick with the plan of going over materia=
ls
> for the tutorial tomorrow - July 17th. The expectation is to have the fin=
al
> versions ready next week for our design team call on the 24th before
> IETF-84.  Even a rough version or outline will help us to make sure we
> don't have overlaps and that the material will flow better. The idea is
> that we will have one chart package with everything together so we won't
> have to switch presentations during the tutorial.   ****
>
> ** **
>
> Please send me what you have no later than 8am Central tomorrow morning,
> so I can get them uploaded to the wiki before the meeting.****
>
> ** **
>
> Thanks,****
>
> Mary. ****
>
> ** **
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>
>

--047d7b2eda7be2383b04c507ef4a
Content-Type: text/html; charset=windows-1252
Content-Transfer-Encoding: quoted-printable

Hi Espen<br><br>The &quot;introduction to telepresence&quot; section was in=
tended to ground people in the &quot;classic&quot; telepresence application=
, It was not intended to describe CLUE.<br><br>So Slide 6 is not aimed at C=
LUE scope (and I was intending to say that the CLUE scope is broader than c=
lassic telepresence).<br>
<br>As far as the classic application goes, slide 6 is correct.=A0 Tele ope=
ration applications may find CLUE useful (likely they will).=A0 But it is a=
n application in its own right, and is normally distinguished from telepres=
ence.=A0 Many tele operation applications do not need a sense of co-locatio=
n, they simply need to provide the remote operator the controls and real-ti=
me information they need to perform their task.<br>
<br>Stephen Botzko<br><br><div class=3D"gmail_quote">On Tue, Jul 17, 2012 a=
t 10:01 AM, Espen Berger (espeberg) <span dir=3D"ltr">&lt;<a href=3D"mailto=
:espeberg@cisco.com" target=3D"_blank">espeberg@cisco.com</a>&gt;</span> wr=
ote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">





<div link=3D"blue" vlink=3D"purple" lang=3D"NO-BOK">
<div>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB">The slides=
 set talks about what CLUE is and what CLUE can be used to achieve.=A0 I am=
 not sure if we need to exclude anything from the term Telepresence
 as done on slide 6. Why not spend a slide on examples of use cases where C=
LUE is useful in addition to the Telepresence rooms systems.<u></u><u></u><=
/span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB"><u></u>=A0=
<u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB">Some examp=
les<u></u><u></u></span></p>
<p><u></u><span style=3D"font-size:11.0pt;font-family:Symbol;color:#1f497d"=
 lang=3D"EN-GB"><span>=B7<span style=3D"font:7.0pt &quot;Times New Roman&qu=
ot;">=A0=A0=A0=A0=A0=A0=A0=A0
</span></span></span><u></u><span style=3D"font-size:11.0pt;font-family:&qu=
ot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB">Tele =
operation where endpoints can send and receive multiple named streams is de=
finitely in the scope of CLUE.
<u></u><u></u></span></p>
<p><u></u><span style=3D"font-size:11.0pt;font-family:Symbol;color:#1f497d"=
 lang=3D"EN-GB"><span>=B7<span style=3D"font:7.0pt &quot;Times New Roman&qu=
ot;">=A0=A0=A0=A0=A0=A0=A0=A0
</span></span></span><u></u><span style=3D"font-size:11.0pt;font-family:&qu=
ot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB">Slide=
 28 mention lecture mode conferences where you broadcast two captures, the =
=91speaker=92 and the =91audience=92<u></u><u></u></span></p>

<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB"><u></u>=A0=
<u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB">Cheers<u><=
/u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB"><u></u>=A0=
<u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB">-Espen
<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB"><u></u>=A0=
<u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB"><u></u>=A0=
<u></u></span></p>
<div>
<div style=3D"border:none;border-top:solid #b5c4df 1.0pt;padding:3.0pt 0cm =
0cm 0cm">
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;" lang=3D"EN-US">From:</span></b><span =
style=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&q=
uot;" lang=3D"EN-US"> <a href=3D"mailto:clue-bounces@ietf.org" target=3D"_b=
lank">clue-bounces@ietf.org</a> [mailto:<a href=3D"mailto:clue-bounces@ietf=
.org" target=3D"_blank">clue-bounces@ietf.org</a>]
<b>On Behalf Of </b>Michael Hammer<br>
<b>Sent:</b> 17. juli 2012 15:35<br>
<b>To:</b> <a href=3D"mailto:mary.ietf.barnes@gmail.com" target=3D"_blank">=
mary.ietf.barnes@gmail.com</a>; <a href=3D"mailto:clue@ietf.org" target=3D"=
_blank">clue@ietf.org</a></span></p><div class=3D"im"><br>
<b>Subject:</b> Re: [clue] Design team meeting: July 17th, 2012<u></u><u></=
u></div><p></p>
</div>
</div><div class=3D"im">
<p class=3D"MsoNormal"><u></u>=A0<u></u></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-US">Mary,<u></=
u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-US"><u></u>=A0=
<u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-US">There is o=
ne disconnect in the slides.=A0
<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-US">Slide 6 sa=
ys TP is not about multiple streams.=A0
<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-US">Slide 22 t=
hen says it is about multiple streams.<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-US">Which is i=
t?<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-US"><u></u>=A0=
<u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-US">Mike<u></u=
><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-US"><u></u>=A0=
<u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-US"><u></u>=A0=
<u></u></span></p>
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;" lang=3D"EN-US">From:</span></b><span =
style=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&q=
uot;" lang=3D"EN-US">
<a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank">clue-bounces@iet=
f.org</a> <a href=3D"mailto:[mailto:clue-bounces@ietf.org]" target=3D"_blan=
k">
[mailto:clue-bounces@ietf.org]</a> <b>On Behalf Of </b>Mary Barnes<br>
<b>Sent:</b> Monday, July 16, 2012 8:46 PM<br>
<b>To:</b> CLUE<br>
<b>Subject:</b> Re: [clue] Design team meeting: July 17th, 2012<u></u><u></=
u></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><u></u>=A0<u></u></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US">I have combined the presentatio=
ns I have received by this time (overview, use cases (Roni&#39;s from last =
week) and framework) into a single presentation. =A0The wiki doesn&#39;t li=
ke the large .ppt file, so I have just uploaded
 the file in the meeting proceedings (which we would need to do in the end =
anyways).=A0<u></u><u></u></span></p>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><u></u>=A0<u></u></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">We will go over this on the cal=
l tomorrow:<u></u><u></u></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><a href=3D"http://www.ietf.org/=
proceedings/84/clue.html" target=3D"_blank">http://www.ietf.org/proceedings=
/84/clue.html</a><u></u><u></u></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><u></u>=A0<u></u></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Also, if someone could voluntee=
r to take notes ahead of time, that would be helpful.=A0<u></u><u></u></spa=
n></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><u></u>=A0<u></u></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Thanks,<u></u><u></u></span></p=
>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Mary.<u></u><u></u></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><u></u>=A0<u></u></span></p>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">On Mon, Jul 16, 2012 at 2:04 PM=
, Mary Barnes &lt;<a href=3D"mailto:mary.ietf.barnes@gmail.com" target=3D"_=
blank">mary.ietf.barnes@gmail.com</a>&gt; wrote:<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Hi all,<u></u><u></u></span></p=
>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><u></u>=A0<u></u></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">I know everyone is busily worki=
ng on draft updates for the deadline today. =A0However, I would still like =
to stick with the plan of going over materials for the tutorial tomorrow - =
July 17th. The expectation is to have
 the final versions ready next week for our design team call on the 24th be=
fore IETF-84. =A0Even a rough version or outline will help us to make sure =
we don&#39;t have overlaps and that the material will flow better. The idea=
 is that we will have one chart package
 with everything together so we won&#39;t have to switch presentations duri=
ng the tutorial. =A0=A0<u></u><u></u></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><u></u>=A0<u></u></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Please send me what you have no=
 later than 8am Central tomorrow morning, so I can get them uploaded to the=
 wiki before the meeting.<u></u><u></u></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><u></u>=A0<u></u></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Thanks,<u></u><u></u></span></p=
>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US">Mary.=A0<u></u><u></u></span></=
p>
</div>
</div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><u></u>=A0<u></u></span></p>
</div>
</div></div>
</div>

<br>_______________________________________________<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/listinfo/clue</a><br>
<br></blockquote></div><br>

--047d7b2eda7be2383b04c507ef4a--

From michael.hammer@yaanatech.com  Tue Jul 17 08:26:22 2012
Return-Path: <michael.hammer@yaanatech.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id A7A6021F86F6 for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 08:26:22 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.598
X-Spam-Level: 
X-Spam-Status: No, score=-2.598 tagged_above=-999 required=5 tests=[AWL=-0.000, BAYES_00=-2.599, HTML_MESSAGE=0.001]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id xDLHz7TVs3FR for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 08:26:21 -0700 (PDT)
Received: from email1.corp.yaanatech.com (email1.corp.yaanatech.com [205.140.198.134]) by ietfa.amsl.com (Postfix) with ESMTP id E3B0C21F86BB for <clue@ietf.org>; Tue, 17 Jul 2012 08:26:21 -0700 (PDT)
Received: from EX2K10MB2.corp.yaanatech.com ([fe80::5d11:66a1:e508:6871]) by ex2k10hub1.corp.yaanatech.com ([::1]) with mapi id 14.01.0218.012; Tue, 17 Jul 2012 08:27:10 -0700
From: Michael Hammer <michael.hammer@yaanatech.com>
To: "stephen.botzko@gmail.com" <stephen.botzko@gmail.com>
Thread-Topic: [clue] Design team meeting: July 17th, 2012
Thread-Index: AQHNY4Xq9HQcQQ7fgUOW5LfttXLthJctGW6AgABg8MCAAI0tAP//kmVQ
Date: Tue, 17 Jul 2012 15:27:08 +0000
Message-ID: <00C069FD01E0324C9FFCADF539701DB38CA45B@ex2k10mb2.corp.yaanatech.com>
References: <CAHBDyN51G6YtaZ9otA91KX_+XUsAE4q6tHRiZYsxNZAC2dWORg@mail.gmail.com> <CAHBDyN5AZ_L=k48TYM4RwHccE-9xqcpy06bGUK1pHedX9DO94Q@mail.gmail.com> <00C069FD01E0324C9FFCADF539701DB38CA3C6@ex2k10mb2.corp.yaanatech.com> <CAMC7SJ7kZfitm1jMD01=hxsj9uoqFewrDmVBz09=5fFhxEd0eA@mail.gmail.com>
In-Reply-To: <CAMC7SJ7kZfitm1jMD01=hxsj9uoqFewrDmVBz09=5fFhxEd0eA@mail.gmail.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: yes
X-MS-TNEF-Correlator: 
x-originating-ip: [10.17.88.7]
Content-Type: multipart/signed; micalg=SHA1; protocol="application/x-pkcs7-signature"; boundary="----=_NextPart_000_0052_01CD640F.19166EC0"
MIME-Version: 1.0
Cc: "clue@ietf.org" <clue@ietf.org>
Subject: Re: [clue] Design team meeting: July 17th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 17 Jul 2012 15:26:22 -0000

------=_NextPart_000_0052_01CD640F.19166EC0
Content-Type: multipart/alternative;
	boundary="----=_NextPart_001_0053_01CD640F.19166EC0"


------=_NextPart_001_0053_01CD640F.19166EC0
Content-Type: text/plain;
	charset="US-ASCII"
Content-Transfer-Encoding: 7bit

Steve,

 

I am just reading what the slide says, not what it meant to say.

 

It could be made less cryptic.

 

Mike

 

 

From: Stephen Botzko [mailto:stephen.botzko@gmail.com] 
Sent: Tuesday, July 17, 2012 10:58 AM
To: Michael Hammer
Cc: mary.ietf.barnes@gmail.com; clue@ietf.org
Subject: Re: [clue] Design team meeting: July 17th, 2012

 

>>> Slide 6 says TP is not about multiple streams.  
Multiple streams are frequently used in TP.  However, multiple streams by
themselves are not enough to create the co-location experience.  That is the
point of slide 6.

Generally CLUE needs to enable TP, it likely will also be useful for other
applications (some of which are listed on Slide 6).

Steve B.



On Tue, Jul 17, 2012 at 9:34 AM, Michael Hammer
<michael.hammer@yaanatech.com> wrote:

Mary,

 

There is one disconnect in the slides.  

Slide 6 says TP is not about multiple streams.  

Slide 22 then says it is about multiple streams.

Which is it?

 

Mike

 

 

From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Mary
Barnes
Sent: Monday, July 16, 2012 8:46 PM
To: CLUE
Subject: Re: [clue] Design team meeting: July 17th, 2012

 

I have combined the presentations I have received by this time (overview,
use cases (Roni's from last week) and framework) into a single presentation.
The wiki doesn't like the large .ppt file, so I have just uploaded the file
in the meeting proceedings (which we would need to do in the end anyways). 

 

We will go over this on the call tomorrow:

http://www.ietf.org/proceedings/84/clue.html

 

Also, if someone could volunteer to take notes ahead of time, that would be
helpful. 

 

Thanks,

Mary.

 

On Mon, Jul 16, 2012 at 2:04 PM, Mary Barnes <mary.ietf.barnes@gmail.com>
wrote:

Hi all,

 

I know everyone is busily working on draft updates for the deadline today.
However, I would still like to stick with the plan of going over materials
for the tutorial tomorrow - July 17th. The expectation is to have the final
versions ready next week for our design team call on the 24th before
IETF-84.  Even a rough version or outline will help us to make sure we don't
have overlaps and that the material will flow better. The idea is that we
will have one chart package with everything together so we won't have to
switch presentations during the tutorial.   

 

Please send me what you have no later than 8am Central tomorrow morning, so
I can get them uploaded to the wiki before the meeting.

 

Thanks,

Mary. 

 


_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

 


------=_NextPart_001_0053_01CD640F.19166EC0
Content-Type: text/html;
	charset="US-ASCII"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" =
xmlns:o=3D"urn:schemas-microsoft-com:office:office" =
xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" =
xmlns=3D"http://www.w3.org/TR/REC-html40"><head><META =
HTTP-EQUIV=3D"Content-Type" CONTENT=3D"text/html; =
charset=3Dus-ascii"><meta name=3DGenerator content=3D"Microsoft Word 14 =
(filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
p.MsoAcetate, li.MsoAcetate, div.MsoAcetate
	{mso-style-priority:99;
	mso-style-link:"Balloon Text Char";
	margin:0in;
	margin-bottom:.0001pt;
	font-size:8.0pt;
	font-family:"Tahoma","sans-serif";}
span.EmailStyle17
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.BalloonTextChar
	{mso-style-name:"Balloon Text Char";
	mso-style-priority:99;
	mso-style-link:"Balloon Text";
	font-family:"Tahoma","sans-serif";}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue =
vlink=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Steve,<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>I am just reading what the slide says, not what it meant to =
say.<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>It could be made less cryptic.<o:p></o:p></span></p><p =
class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Mike<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span>=
</b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
Stephen Botzko [mailto:stephen.botzko@gmail.com] <br><b>Sent:</b> =
Tuesday, July 17, 2012 10:58 AM<br><b>To:</b> Michael =
Hammer<br><b>Cc:</b> mary.ietf.barnes@gmail.com; =
clue@ietf.org<br><b>Subject:</b> Re: [clue] Design team meeting: July =
17th, 2012<o:p></o:p></span></p><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal =
style=3D'margin-bottom:12.0pt'>&gt;&gt;&gt; <span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Slide 6 says TP is not about multiple streams.&nbsp; <br>Multiple =
streams are frequently used in TP.&nbsp; However, multiple streams by =
themselves are not enough to create the co-location experience.&nbsp; =
That is the point of slide 6.<br><br>Generally CLUE needs to enable TP, =
it likely will also be useful for other applications (some of which are =
listed on Slide 6).<br><br>Steve B.<br><br></span><o:p></o:p></p><div><p =
class=3DMsoNormal>On Tue, Jul 17, 2012 at 9:34 AM, Michael Hammer &lt;<a =
href=3D"mailto:michael.hammer@yaanatech.com" =
target=3D"_blank">michael.hammer@yaanatech.com</a>&gt; =
wrote:<o:p></o:p></p><div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Mary,</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>There is one disconnect in the slides.&nbsp; </span><o:p></o:p></p><p =
class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Slide 6 says TP is not about multiple streams.&nbsp; =
</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Slide 22 then says it is about multiple =
streams.</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Which is it?</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Mike</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span>=
</b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
<a href=3D"mailto:clue-bounces@ietf.org" =
target=3D"_blank">clue-bounces@ietf.org</a> [mailto:<a =
href=3D"mailto:clue-bounces@ietf.org" =
target=3D"_blank">clue-bounces@ietf.org</a>] <b>On Behalf Of </b>Mary =
Barnes<br><b>Sent:</b> Monday, July 16, 2012 8:46 PM<br><b>To:</b> =
CLUE<br><b>Subject:</b> Re: [clue] Design team meeting: July 17th, =
2012</span><o:p></o:p></p><div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>I have =
combined the presentations I have received by this time (overview, use =
cases (Roni's from last week) and framework) into a single presentation. =
&nbsp;The wiki doesn't like the large .ppt file, so I have just uploaded =
the file in the meeting proceedings (which we would need to do in the =
end anyways).&nbsp;<o:p></o:p></p><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>We will go =
over this on the call tomorrow:<o:p></o:p></p></div><div><p =
class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><a =
href=3D"http://www.ietf.org/proceedings/84/clue.html" =
target=3D"_blank">http://www.ietf.org/proceedings/84/clue.html</a><o:p></=
o:p></p></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Also, if =
someone could volunteer to take notes ahead of time, that would be =
helpful.&nbsp;<o:p></o:p></p></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Thanks,<o:p>=
</o:p></p></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Mary.<o:p></=
o:p></p></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>On Mon, Jul =
16, 2012 at 2:04 PM, Mary Barnes &lt;<a =
href=3D"mailto:mary.ietf.barnes@gmail.com" =
target=3D"_blank">mary.ietf.barnes@gmail.com</a>&gt; =
wrote:<o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Hi =
all,<o:p></o:p></p><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>I know =
everyone is busily working on draft updates for the deadline today. =
&nbsp;However, I would still like to stick with the plan of going over =
materials for the tutorial tomorrow - July 17th. The expectation is to =
have the final versions ready next week for our design team call on the =
24th before IETF-84. &nbsp;Even a rough version or outline will help us =
to make sure we don't have overlaps and that the material will flow =
better. The idea is that we will have one chart package with everything =
together so we won't have to switch presentations during the tutorial. =
&nbsp;&nbsp;<o:p></o:p></p></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Please send =
me what you have no later than 8am Central tomorrow morning, so I can =
get them uploaded to the wiki before the =
meeting.<o:p></o:p></p></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Thanks,<o:p>=
</o:p></p></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Mary.&nbsp;<=
o:p></o:p></p></div></div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p></div></div></div></div></div><p class=3DMsoNormal =
style=3D'margin-bottom:12.0pt'><br>______________________________________=
_________<br>clue mailing list<br><a =
href=3D"mailto:clue@ietf.org">clue@ietf.org</a><br><a =
href=3D"https://www.ietf.org/mailman/listinfo/clue" =
target=3D"_blank">https://www.ietf.org/mailman/listinfo/clue</a><o:p></o:=
p></p></div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div></body></html>
------=_NextPart_001_0053_01CD640F.19166EC0--

------=_NextPart_000_0052_01CD640F.19166EC0
Content-Type: application/pkcs7-signature; name="smime.p7s"
Content-Transfer-Encoding: base64
Content-Disposition: attachment; filename="smime.p7s"
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------=_NextPart_000_0052_01CD640F.19166EC0--

From pkyzivat@alum.mit.edu  Tue Jul 17 09:06:35 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 8474521F8496 for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 09:06:35 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: 0
X-Spam-Level: 
X-Spam-Status: No, score=x tagged_above=-999 required=5 tests=[]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id WaLU+rhFCKiq for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 09:06:34 -0700 (PDT)
Received: from qmta13.westchester.pa.mail.comcast.net (qmta13.westchester.pa.mail.comcast.net [76.96.59.243]) by ietfa.amsl.com (Postfix) with ESMTP id 0995A21F8501 for <clue@ietf.org>; Tue, 17 Jul 2012 09:06:32 -0700 (PDT)
Received: from omta04.westchester.pa.mail.comcast.net ([76.96.62.35]) by qmta13.westchester.pa.mail.comcast.net with comcast id bPjy1j0010ldTLk5DU7Lue; Tue, 17 Jul 2012 16:07:20 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta04.westchester.pa.mail.comcast.net with comcast id bU7D1j00K3ZTu2S3QU7DR3; Tue, 17 Jul 2012 16:07:15 +0000
Message-ID: <50058D67.9010804@alum.mit.edu>
Date: Tue, 17 Jul 2012 12:05:59 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: CLUE <clue@ietf.org>
Content-Type: multipart/mixed; boundary="------------090903010400060500060101"
Subject: [clue] Revised clue call flow
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 17 Jul 2012 16:06:36 -0000

This is a multi-part message in MIME format.
--------------090903010400060500060101
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit

Today on call I suggested how to show the bidirectional exchange, and 
promised to do the slide for it.

Attached is a ppt with just two slides. I modified the original slide to 
show multiple consumer choices per advertisement. Then I added an 
additional slide that shows interleaved bidirectional exchanges.

One other thing:

I wonder if it might be helpful to introduce all the speakers once at 
the beginning, and then dispense with the cover slides for each section. 
Just have a quiet handoff with as little disruption as possible to keep 
things running quickly and smoothly.

	Thanks,
	Paul

--------------090903010400060500060101
Content-Type: application/vnd.ms-powerpoint;
 name="bidirectional_exchange.ppt"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
 filename="bidirectional_exchange.ppt"
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--------------090903010400060500060101--

From rohanse2@cisco.com  Tue Jul 17 09:33:01 2012
Return-Path: <rohanse2@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 58E6421F862F for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 09:33:01 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id sEXSTduUnIyy for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 09:32:59 -0700 (PDT)
Received: from ams-iport-1.cisco.com (ams-iport-1.cisco.com [144.254.224.140]) by ietfa.amsl.com (Postfix) with ESMTP id 67ADD21F8628 for <clue@ietf.org>; Tue, 17 Jul 2012 09:32:59 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=rohanse2@cisco.com; l=5091; q=dns/txt; s=iport; t=1342542827; x=1343752427; h=message-id:date:from:mime-version:to:subject:references: in-reply-to:content-transfer-encoding; bh=/Hyan2Q33D1+ExLaaqDpfOepP4ZMSmBax/PgddtjrY0=; b=giFOED3slsreqoStcgZeRbOKVa55z1UxKrynmTRrcXOUcz1vV5PGn7jw Okm4E0qYDX/erndNPqdkLqG1eycyT5zOZCAsjPXexdBSgjR231pdDCssB xInytl8Ccn/LAQkEU1sAhAN3j/BV9Jrh5XLgVbAEyy+x+hEOQhmZdUYmZ Y=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av8EAPWSBVCQ/khR/2dsb2JhbABFuRyBB4IgAQEBBAEBAQ8BJTYKEQsYCRYPCQMCAQIBFTATBgIBAR6HawudCKAvBItAFIYzA5U9hViISoFmgmCBVQ
X-IronPort-AV: E=Sophos;i="4.77,604,1336348800"; d="scan'208";a="141251101"
Received: from ams-core-1.cisco.com ([144.254.72.81]) by ams-iport-1.cisco.com with ESMTP; 17 Jul 2012 16:33:46 +0000
Received: from [10.47.196.161] ([10.47.196.161]) by ams-core-1.cisco.com (8.14.5/8.14.5) with ESMTP id q6HGXkjA015585 for <clue@ietf.org>; Tue, 17 Jul 2012 16:33:46 GMT
Message-ID: <500593F7.8070305@cisco.com>
Date: Tue, 17 Jul 2012 17:33:59 +0100
From: Robert Hansen <rohanse2@cisco.com>
User-Agent: Mozilla/5.0 (Windows NT 5.1; rv:13.0) Gecko/20120614 Thunderbird/13.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <CAHBDyN51G6YtaZ9otA91KX_+XUsAE4q6tHRiZYsxNZAC2dWORg@mail.gmail.com>
In-Reply-To: <CAHBDyN51G6YtaZ9otA91KX_+XUsAE4q6tHRiZYsxNZAC2dWORg@mail.gmail.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Design team meeting: July 17th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 17 Jul 2012 16:33:01 -0000

Meeting notes below:

People:

Mary Barnes
Paul Kyzivat
Allyn Romanow
Andy Pepperell
Roni Even
Jonathan Lennox
Espen Berger
Rob Hansen

Mary shared the slides that have been submitted thus far.

Steve wasn't on the call, so Mary went through his slides. They are not 
finished yet, with no pictures, but they have initial text. They provide 
an introduction to Telepresence.

The slides say that Telepresence is not multiple streams - Espen asked 
why this was the case, where multiple screens (and even teleoperation) 
are part of telepresence. Mary clarified that this probably meant that 
telepresence was not *just* multiple streams, but there was a feeling 
that this slide is probably unnecessary. Beyond this there was agreement 
that with suitable pictures this was a decent summary of telepresence.

Next were Roni's slides, which were unchanged from the previous week. 
Paul pointed out that there was some redundancy with Steve's slides. 
There was also some concern over the number of slides given the time 
available.

Next were Mary's slides, explaining what is CLUE - just a few slides, 
though there was a feeling that it was worth breaking up the single 
text-heavy slide into two.

Next were the framework slides. Allyn covered these as Andy was having 
trouble with seeing the slides. There was some concern that the initial 
slide immediately went into the signalling and interaction with SDP 
offer-answer. Espen suggested that some examples of what could be done 
with the framework could be part of the slides; Allyn was concerned that 
there wouldn't be sufficient time (given the time constraints on the 
tutorial). There was a feeling that the early slides needed to be more 
communicative, though Andy pointed out that what was said wouldn't 
necessarily match the slides.

Continuing with the framework slides there was some debate about the use 
of the word 'encoding', given the multiple meanings it has. Paul 
suggested that in the description of a capture scene, it should be 
mentioned that a room is the most common instance of a capture scene. 
There was some debate of how useful this would be, though in the end 
there was a feeling it would be useful. Paul also asked if there should 
be anything about 'virtual' scenes; Andy felt this would cloud the issue 
and that we had generally been careful to shy away from such terms. Roni 
thought it would be useful to have a definition that a capture scene is 
a collection of captures that potentially share of spacial coordinates.

On the message exchange Jonathon raised the concern that the exchange 
can be interpreted as all choices being a response to a capture 
advertisment and hence would be suitable for offer/answer. Allyn pointed 
out that later in the slides there are ladder diagrams that show more of 
the options. Paul volunteered to try to produce something that showed 
the bidirectional nature of CLUE.

On the slide that explained the manner in which the provider 
advertisment is explained Roni raised the concern that this would be 
difficult for someone new to CLUE to understand. Andy agreed, and felt 
that trying to fit all the detail into the time available would be very 
difficult.

Allyn raised the question about whether it would be possible to get 
another meeting in before next Tuesday, to give more than one meeting 
before the final deadline on Tuesday. Mary said she'd set up a doodle 
poll. Paul also suggested a run-through on Sunday at some point if we 
could fit that in.

Allyn commented that if best slides shouldn't be too wordy as people can 
only take in a limited amount of lines per slides.

Going through then final slides in the framework section there were 
comments that these perhaps overlapped with the call-flow slides. Andy 
explained these were intended more to be talked about during call-flow, 
and the slides were there for reference. Paul suggested having some 
explicit 'advanced topic' slides.

Finally, Mary suggested there should be a final summary, with perhaps 
three key points people could take away.

On 16/07/2012 20:04, Mary Barnes wrote:
> Hi all,
>
> I know everyone is busily working on draft updates for the deadline
> today.  However, I would still like to stick with the plan of going over
> materials for the tutorial tomorrow - July 17th. The expectation is to
> have the final versions ready next week for our design team call on the
> 24th before IETF-84.  Even a rough version or outline will help us to
> make sure we don't have overlaps and that the material will flow better.
> The idea is that we will have one chart package with everything together
> so we won't have to switch presentations during the tutorial.
>
> Please send me what you have no later than 8am Central tomorrow morning,
> so I can get them uploaded to the wiki before the meeting.
>
> Thanks,
> Mary.
>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>



From pkyzivat@alum.mit.edu  Tue Jul 17 10:45:40 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 0172721F865D for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 10:45:40 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.331
X-Spam-Level: 
X-Spam-Status: No, score=-2.331 tagged_above=-999 required=5 tests=[AWL=0.268,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 8FE+gg9n3qIK for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 10:45:39 -0700 (PDT)
Received: from qmta03.westchester.pa.mail.comcast.net (qmta03.westchester.pa.mail.comcast.net [76.96.62.32]) by ietfa.amsl.com (Postfix) with ESMTP id 58FE621F865C for <clue@ietf.org>; Tue, 17 Jul 2012 10:45:39 -0700 (PDT)
Received: from omta09.westchester.pa.mail.comcast.net ([76.96.62.20]) by qmta03.westchester.pa.mail.comcast.net with comcast id bNNp1j0010SCNGk53VmVme; Tue, 17 Jul 2012 17:46:29 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta09.westchester.pa.mail.comcast.net with comcast id bVmZ1j00Y3ZTu2S3VVmZUC; Tue, 17 Jul 2012 17:46:34 +0000
Message-ID: <5005A4F2.9090102@alum.mit.edu>
Date: Tue, 17 Jul 2012 13:46:26 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <CAHBDyN51G6YtaZ9otA91KX_+XUsAE4q6tHRiZYsxNZAC2dWORg@mail.gmail.com> <500593F7.8070305@cisco.com>
In-Reply-To: <500593F7.8070305@cisco.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Design team meeting: July 17th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 17 Jul 2012 17:45:40 -0000

On 7/17/12 12:33 PM, Robert Hansen wrote:
...
> Paul suggested having some
> explicit 'advanced topic' slides.

I don't think so.

I suggested we could probably remove the existing "advanced topics" 
slide, and that anything on it we thought important could be brought out 
on the earlier slide about Capture Scenes.

	Thanks,
	Paul

From stephen.botzko@gmail.com  Tue Jul 17 14:01:11 2012
Return-Path: <stephen.botzko@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id BF3FC21F849D for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 14:01:11 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.598
X-Spam-Level: 
X-Spam-Status: No, score=-3.598 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id nZSIajVXEQEw for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 14:01:11 -0700 (PDT)
Received: from mail-pb0-f44.google.com (mail-pb0-f44.google.com [209.85.160.44]) by ietfa.amsl.com (Postfix) with ESMTP id E3B3D21F8491 for <clue@ietf.org>; Tue, 17 Jul 2012 14:01:10 -0700 (PDT)
Received: by pbcwy7 with SMTP id wy7so1422835pbc.31 for <clue@ietf.org>; Tue, 17 Jul 2012 14:01:59 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=tW8H8KqwzNjRCaWZ6T8t1CRCsbSBofhAopKhqVXSzlg=; b=yb+iGxNX9d1pgpHFgbUaIGenhfI+HAkanLSAVMatGJbcPopyvOslZKVw4rVTylj733 vbJQoBa4uFyER0fZbAVMC/84OpZ2HkGoOiccvZGbp+XoIpDmy08atyGlvTBDcNJqAvi4 +D52VDd7Ja5AcYejDcgaRycE1gSdvekQ+aUhPdNfrTGyxUIjspK4HfnjQPkKxM+tqw1q Zh/j1CIHSE4Uax1My3pcTDsDyqrw1tk869h7BtQDfOqyilk7nc1E4tkV+KZ6OTIOBwX5 aVIikI6hLN+xpzx1CGk2YMuzD7HliZKHdkCdvcQNxibNWl7AC08u11Yk/yZ8V9jS0DyN Yagw==
MIME-Version: 1.0
Received: by 10.68.222.163 with SMTP id qn3mr2180798pbc.135.1342558919071; Tue, 17 Jul 2012 14:01:59 -0700 (PDT)
Received: by 10.68.51.101 with HTTP; Tue, 17 Jul 2012 14:01:59 -0700 (PDT)
In-Reply-To: <00C069FD01E0324C9FFCADF539701DB38CA45B@ex2k10mb2.corp.yaanatech.com>
References: <CAHBDyN51G6YtaZ9otA91KX_+XUsAE4q6tHRiZYsxNZAC2dWORg@mail.gmail.com> <CAHBDyN5AZ_L=k48TYM4RwHccE-9xqcpy06bGUK1pHedX9DO94Q@mail.gmail.com> <00C069FD01E0324C9FFCADF539701DB38CA3C6@ex2k10mb2.corp.yaanatech.com> <CAMC7SJ7kZfitm1jMD01=hxsj9uoqFewrDmVBz09=5fFhxEd0eA@mail.gmail.com> <00C069FD01E0324C9FFCADF539701DB38CA45B@ex2k10mb2.corp.yaanatech.com>
Date: Tue, 17 Jul 2012 17:01:59 -0400
Message-ID: <CAMC7SJ48tGhWL-00oZ_QM17eY56F=1n15yjrGPb-cbXv8Eumqw@mail.gmail.com>
From: Stephen Botzko <stephen.botzko@gmail.com>
To: Michael Hammer <michael.hammer@yaanatech.com>
Content-Type: multipart/alternative; boundary=047d7b2eda7b76178a04c50cdb08
Cc: "clue@ietf.org" <clue@ietf.org>
Subject: Re: [clue] Design team meeting: July 17th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 17 Jul 2012 21:01:11 -0000

--047d7b2eda7b76178a04c50cdb08
Content-Type: text/plain; charset=ISO-8859-1

I think the confusion is in part because all the decks were merged
together.  The intro portion was never intended to be an intro to clue.

In any event, this was a draft, so feedback is welcome.

Steve B.


On Tue, Jul 17, 2012 at 11:27 AM, Michael Hammer <
michael.hammer@yaanatech.com> wrote:

> Steve,****
>
> ** **
>
> I am just reading what the slide says, not what it meant to say.****
>
> ** **
>
> It could be made less cryptic.****
>
> ** **
>
> Mike****
>
> ** **
>
> ** **
>
> *From:* Stephen Botzko [mailto:stephen.botzko@gmail.com]
> *Sent:* Tuesday, July 17, 2012 10:58 AM
> *To:* Michael Hammer
> *Cc:* mary.ietf.barnes@gmail.com; clue@ietf.org
>
> *Subject:* Re: [clue] Design team meeting: July 17th, 2012****
>
> ** **
>
> >>> Slide 6 says TP is not about multiple streams.
> Multiple streams are frequently used in TP.  However, multiple streams by
> themselves are not enough to create the co-location experience.  That is
> the point of slide 6.
>
> Generally CLUE needs to enable TP, it likely will also be useful for other
> applications (some of which are listed on Slide 6).
>
> Steve B.
>
> ****
>
> On Tue, Jul 17, 2012 at 9:34 AM, Michael Hammer <
> michael.hammer@yaanatech.com> wrote:****
>
> Mary,****
>
>  ****
>
> There is one disconnect in the slides.  ****
>
> Slide 6 says TP is not about multiple streams.  ****
>
> Slide 22 then says it is about multiple streams.****
>
> Which is it?****
>
>  ****
>
> Mike****
>
>  ****
>
>  ****
>
> *From:* clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] *On Behalf
> Of *Mary Barnes
> *Sent:* Monday, July 16, 2012 8:46 PM
> *To:* CLUE
> *Subject:* Re: [clue] Design team meeting: July 17th, 2012****
>
>  ****
>
> I have combined the presentations I have received by this time (overview,
> use cases (Roni's from last week) and framework) into a single
> presentation.  The wiki doesn't like the large .ppt file, so I have just
> uploaded the file in the meeting proceedings (which we would need to do in
> the end anyways). ****
>
>  ****
>
> We will go over this on the call tomorrow:****
>
> http://www.ietf.org/proceedings/84/clue.html****
>
>  ****
>
> Also, if someone could volunteer to take notes ahead of time, that would
> be helpful. ****
>
>  ****
>
> Thanks,****
>
> Mary.****
>
>  ****
>
> On Mon, Jul 16, 2012 at 2:04 PM, Mary Barnes <mary.ietf.barnes@gmail.com>
> wrote:****
>
> Hi all,****
>
>  ****
>
> I know everyone is busily working on draft updates for the deadline today.
>  However, I would still like to stick with the plan of going over materials
> for the tutorial tomorrow - July 17th. The expectation is to have the final
> versions ready next week for our design team call on the 24th before
> IETF-84.  Even a rough version or outline will help us to make sure we
> don't have overlaps and that the material will flow better. The idea is
> that we will have one chart package with everything together so we won't
> have to switch presentations during the tutorial.   ****
>
>  ****
>
> Please send me what you have no later than 8am Central tomorrow morning,
> so I can get them uploaded to the wiki before the meeting.****
>
>  ****
>
> Thanks,****
>
> Mary. ****
>
>  ****
>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue****
>
> ** **
>

--047d7b2eda7b76178a04c50cdb08
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

I think the confusion is in part because all the decks were merged together=
.=A0 The intro portion was never intended to be an intro to clue.=A0 <br><b=
r>In any event, this was a draft, so feedback is welcome.=A0 <br><br>Steve =
B.<br>
<br><br><div class=3D"gmail_quote">On Tue, Jul 17, 2012 at 11:27 AM, Michae=
l Hammer <span dir=3D"ltr">&lt;<a href=3D"mailto:michael.hammer@yaanatech.c=
om" target=3D"_blank">michael.hammer@yaanatech.com</a>&gt;</span> wrote:<br=
><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1=
px #ccc solid;padding-left:1ex">
<div link=3D"blue" vlink=3D"purple" lang=3D"EN-US"><div><p class=3D"MsoNorm=
al"><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;s=
ans-serif&quot;;color:#1f497d">Steve,<u></u><u></u></span></p><p class=3D"M=
soNormal">
<span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-=
serif&quot;;color:#1f497d"><u></u>=A0<u></u></span></p><p class=3D"MsoNorma=
l"><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1f497d">I am just reading what the slide says, not wh=
at it meant to say.<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">It could be made less =
cryptic.<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">Mike<u></u><u></u></sp=
an></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></spa=
n></p>
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;"> Stephen =
Botzko [mailto:<a href=3D"mailto:stephen.botzko@gmail.com" target=3D"_blank=
">stephen.botzko@gmail.com</a>] <br>
<b>Sent:</b> Tuesday, July 17, 2012 10:58 AM<br><b>To:</b> Michael Hammer<b=
r><b>Cc:</b> <a href=3D"mailto:mary.ietf.barnes@gmail.com" target=3D"_blank=
">mary.ietf.barnes@gmail.com</a>; <a href=3D"mailto:clue@ietf.org" target=
=3D"_blank">clue@ietf.org</a></span></p>
<div><div class=3D"h5"><br><b>Subject:</b> Re: [clue] Design team meeting: =
July 17th, 2012<u></u><u></u></div></div><p></p><div><div class=3D"h5"><p c=
lass=3D"MsoNormal"><u></u>=A0<u></u></p><p class=3D"MsoNormal" style=3D"mar=
gin-bottom:12.0pt">
&gt;&gt;&gt; <span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot=
;,&quot;sans-serif&quot;;color:#1f497d">Slide 6 says TP is not about multip=
le streams.=A0 <br>Multiple streams are frequently used in TP.=A0 However, =
multiple streams by themselves are not enough to create the co-location exp=
erience.=A0 That is the point of slide 6.<br>
<br>Generally CLUE needs to enable TP, it likely will also be useful for ot=
her applications (some of which are listed on Slide 6).<br><br>Steve B.<br>=
<br></span><u></u><u></u></p><div><p class=3D"MsoNormal">On Tue, Jul 17, 20=
12 at 9:34 AM, Michael Hammer &lt;<a href=3D"mailto:michael.hammer@yaanatec=
h.com" target=3D"_blank">michael.hammer@yaanatech.com</a>&gt; wrote:<u></u>=
<u></u></p>
<div><div><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-famil=
y:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">Mary,</span><u>=
</u><u></u></p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">=A0</span>=
<u></u><u></u></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">There is one disconnect i=
n the slides.=A0 </span><u></u><u></u></p><p class=3D"MsoNormal"><span styl=
e=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot=
;;color:#1f497d">Slide 6 says TP is not about multiple streams.=A0 </span><=
u></u><u></u></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Slide 22 then says it is =
about multiple streams.</span><u></u><u></u></p><p class=3D"MsoNormal"><spa=
n style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-seri=
f&quot;;color:#1f497d">Which is it?</span><u></u><u></u></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">=A0</span><u></u><u></u><=
/p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">Mike</span><u></u><u><=
/u></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">=A0</span><u></u><u></u><=
/p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">=A0</span><u></u><u></=
u></p>
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;"> <a href=
=3D"mailto:clue-bounces@ietf.org" target=3D"_blank">clue-bounces@ietf.org</=
a> [mailto:<a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank">clue-=
bounces@ietf.org</a>] <b>On Behalf Of </b>Mary Barnes<br>
<b>Sent:</b> Monday, July 16, 2012 8:46 PM<br><b>To:</b> CLUE<br><b>Subject=
:</b> Re: [clue] Design team meeting: July 17th, 2012</span><u></u><u></u><=
/p><div><div><p class=3D"MsoNormal">=A0<u></u><u></u></p><p class=3D"MsoNor=
mal">
I have combined the presentations I have received by this time (overview, u=
se cases (Roni&#39;s from last week) and framework) into a single presentat=
ion. =A0The wiki doesn&#39;t like the large .ppt file, so I have just uploa=
ded the file in the meeting proceedings (which we would need to do in the e=
nd anyways).=A0<u></u><u></u></p>
<div><p class=3D"MsoNormal">=A0<u></u><u></u></p></div><div><p class=3D"Mso=
Normal">We will go over this on the call tomorrow:<u></u><u></u></p></div><=
div><p class=3D"MsoNormal"><a href=3D"http://www.ietf.org/proceedings/84/cl=
ue.html" target=3D"_blank">http://www.ietf.org/proceedings/84/clue.html</a>=
<u></u><u></u></p>
</div><div><p class=3D"MsoNormal">=A0<u></u><u></u></p></div><div><p class=
=3D"MsoNormal">Also, if someone could volunteer to take notes ahead of time=
, that would be helpful.=A0<u></u><u></u></p></div><div><p class=3D"MsoNorm=
al">=A0<u></u><u></u></p>
</div><div><p class=3D"MsoNormal">Thanks,<u></u><u></u></p></div><div><p cl=
ass=3D"MsoNormal">Mary.<u></u><u></u></p></div><div><p class=3D"MsoNormal">=
=A0<u></u><u></u></p><div><p class=3D"MsoNormal">On Mon, Jul 16, 2012 at 2:=
04 PM, Mary Barnes &lt;<a href=3D"mailto:mary.ietf.barnes@gmail.com" target=
=3D"_blank">mary.ietf.barnes@gmail.com</a>&gt; wrote:<u></u><u></u></p>
<p class=3D"MsoNormal">Hi all,<u></u><u></u></p><div><p class=3D"MsoNormal"=
>=A0<u></u><u></u></p></div><div><p class=3D"MsoNormal">I know everyone is =
busily working on draft updates for the deadline today. =A0However, I would=
 still like to stick with the plan of going over materials for the tutorial=
 tomorrow - July 17th. The expectation is to have the final versions ready =
next week for our design team call on the 24th before IETF-84. =A0Even a ro=
ugh version or outline will help us to make sure we don&#39;t have overlaps=
 and that the material will flow better. The idea is that we will have one =
chart package with everything together so we won&#39;t have to switch prese=
ntations during the tutorial. =A0=A0<u></u><u></u></p>
</div><div><p class=3D"MsoNormal">=A0<u></u><u></u></p></div><div><p class=
=3D"MsoNormal">Please send me what you have no later than 8am Central tomor=
row morning, so I can get them uploaded to the wiki before the meeting.<u><=
/u><u></u></p>
</div><div><p class=3D"MsoNormal">=A0<u></u><u></u></p></div><div><p class=
=3D"MsoNormal">Thanks,<u></u><u></u></p></div><div><p class=3D"MsoNormal">M=
ary.=A0<u></u><u></u></p></div></div><p class=3D"MsoNormal">=A0<u></u><u></=
u></p></div>
</div></div></div></div><p class=3D"MsoNormal" style=3D"margin-bottom:12.0p=
t"><br>_______________________________________________<br>clue mailing list=
<br><a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br=
><a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">h=
ttps://www.ietf.org/mailman/listinfo/clue</a><u></u><u></u></p>
</div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></div></div></div></div><=
/blockquote></div><br>

--047d7b2eda7b76178a04c50cdb08--

From mary.ietf.barnes@gmail.com  Tue Jul 17 14:33:44 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 5B0A121F8533 for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 14:33:44 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.544
X-Spam-Level: 
X-Spam-Status: No, score=-103.544 tagged_above=-999 required=5 tests=[AWL=0.054, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id R+CPfXBF0PPi for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 14:33:43 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id C765221F8532 for <clue@ietf.org>; Tue, 17 Jul 2012 14:33:42 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so1307570obb.31 for <clue@ietf.org>; Tue, 17 Jul 2012 14:34:30 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=CrHPMYT1fR61IIWq4UO8/i5RIuF1NXFwpkCQZs4YF7k=; b=MuZ2bovcR1wjkKrUglteJ/U0aYHUk1E/5Cs2nN1xcEWJbkuDcoLeZ1af3bHGJjBcNj OVoy3yHsly0eBLBtCWd5qNcMnGolW2QAxaiO94hCAXOOxemtFWjMFU0DAVgdneDuuIZ1 Dw3TTO+pz5ufKJuSvl4sKa+KKUt4ePM0Ty6hQ9K1d2ImlwOUTGArXkC8D5me3xZl6iR2 zrpG1SBKmRyHsvvP+/H60/lH8HxDTR4z5KSIunFA9SSCJn2NdlE+5IccJ44a8giFY2Aq 537anSz4c/UnFNjx3yAD0+lER1QgdeTTBroueqPgQcYnglGckkx0oDhGN8tASCzyBVtd hZLg==
MIME-Version: 1.0
Received: by 10.182.152.97 with SMTP id ux1mr3925112obb.13.1342560870607; Tue, 17 Jul 2012 14:34:30 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Tue, 17 Jul 2012 14:34:30 -0700 (PDT)
In-Reply-To: <CAMC7SJ48tGhWL-00oZ_QM17eY56F=1n15yjrGPb-cbXv8Eumqw@mail.gmail.com>
References: <CAHBDyN51G6YtaZ9otA91KX_+XUsAE4q6tHRiZYsxNZAC2dWORg@mail.gmail.com> <CAHBDyN5AZ_L=k48TYM4RwHccE-9xqcpy06bGUK1pHedX9DO94Q@mail.gmail.com> <00C069FD01E0324C9FFCADF539701DB38CA3C6@ex2k10mb2.corp.yaanatech.com> <CAMC7SJ7kZfitm1jMD01=hxsj9uoqFewrDmVBz09=5fFhxEd0eA@mail.gmail.com> <00C069FD01E0324C9FFCADF539701DB38CA45B@ex2k10mb2.corp.yaanatech.com> <CAMC7SJ48tGhWL-00oZ_QM17eY56F=1n15yjrGPb-cbXv8Eumqw@mail.gmail.com>
Date: Tue, 17 Jul 2012 16:34:30 -0500
Message-ID: <CAHBDyN7G5SQSYULONmhFX8jO3AfuGbgdyN-2NA8ip0ArSuO_RA@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: Stephen Botzko <stephen.botzko@gmail.com>
Content-Type: multipart/alternative; boundary=f46d04462c0ac82a6204c50d4ff9
Cc: "clue@ietf.org" <clue@ietf.org>
Subject: Re: [clue] Design team meeting: July 17th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 17 Jul 2012 21:33:44 -0000

--f46d04462c0ac82a6204c50d4ff9
Content-Type: text/plain; charset=ISO-8859-1

The discussion on the call was that we could delete that slide and really
not lose anything.  It seemed to add more confusion than clarification.
 Or, we need to figure out a way to reword that one - to avoid the
confusion.

Mary.

On Tue, Jul 17, 2012 at 4:01 PM, Stephen Botzko <stephen.botzko@gmail.com>wrote:

> I think the confusion is in part because all the decks were merged
> together.  The intro portion was never intended to be an intro to clue.
>
> In any event, this was a draft, so feedback is welcome.
>
> Steve B.
>
>
>
> On Tue, Jul 17, 2012 at 11:27 AM, Michael Hammer <
> michael.hammer@yaanatech.com> wrote:
>
>> Steve,****
>>
>> ** **
>>
>> I am just reading what the slide says, not what it meant to say.****
>>
>> ** **
>>
>> It could be made less cryptic.****
>>
>> ** **
>>
>> Mike****
>>
>> ** **
>>
>> ** **
>>
>> *From:* Stephen Botzko [mailto:stephen.botzko@gmail.com]
>> *Sent:* Tuesday, July 17, 2012 10:58 AM
>> *To:* Michael Hammer
>> *Cc:* mary.ietf.barnes@gmail.com; clue@ietf.org
>>
>> *Subject:* Re: [clue] Design team meeting: July 17th, 2012****
>>
>> ** **
>>
>> >>> Slide 6 says TP is not about multiple streams.
>> Multiple streams are frequently used in TP.  However, multiple streams by
>> themselves are not enough to create the co-location experience.  That is
>> the point of slide 6.
>>
>> Generally CLUE needs to enable TP, it likely will also be useful for
>> other applications (some of which are listed on Slide 6).
>>
>> Steve B.
>>
>> ****
>>
>> On Tue, Jul 17, 2012 at 9:34 AM, Michael Hammer <
>> michael.hammer@yaanatech.com> wrote:****
>>
>> Mary,****
>>
>>  ****
>>
>> There is one disconnect in the slides.  ****
>>
>> Slide 6 says TP is not about multiple streams.  ****
>>
>> Slide 22 then says it is about multiple streams.****
>>
>> Which is it?****
>>
>>  ****
>>
>> Mike****
>>
>>  ****
>>
>>  ****
>>
>> *From:* clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] *On Behalf
>> Of *Mary Barnes
>> *Sent:* Monday, July 16, 2012 8:46 PM
>> *To:* CLUE
>> *Subject:* Re: [clue] Design team meeting: July 17th, 2012****
>>
>>  ****
>>
>> I have combined the presentations I have received by this time (overview,
>> use cases (Roni's from last week) and framework) into a single
>> presentation.  The wiki doesn't like the large .ppt file, so I have just
>> uploaded the file in the meeting proceedings (which we would need to do in
>> the end anyways). ****
>>
>>  ****
>>
>> We will go over this on the call tomorrow:****
>>
>> http://www.ietf.org/proceedings/84/clue.html****
>>
>>  ****
>>
>> Also, if someone could volunteer to take notes ahead of time, that would
>> be helpful. ****
>>
>>  ****
>>
>> Thanks,****
>>
>> Mary.****
>>
>>  ****
>>
>> On Mon, Jul 16, 2012 at 2:04 PM, Mary Barnes <mary.ietf.barnes@gmail.com>
>> wrote:****
>>
>> Hi all,****
>>
>>  ****
>>
>> I know everyone is busily working on draft updates for the deadline
>> today.  However, I would still like to stick with the plan of going over
>> materials for the tutorial tomorrow - July 17th. The expectation is to have
>> the final versions ready next week for our design team call on the 24th
>> before IETF-84.  Even a rough version or outline will help us to make sure
>> we don't have overlaps and that the material will flow better. The idea is
>> that we will have one chart package with everything together so we won't
>> have to switch presentations during the tutorial.   ****
>>
>>  ****
>>
>> Please send me what you have no later than 8am Central tomorrow morning,
>> so I can get them uploaded to the wiki before the meeting.****
>>
>>  ****
>>
>> Thanks,****
>>
>> Mary. ****
>>
>>  ****
>>
>>
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue****
>>
>> ** **
>>
>
>

--f46d04462c0ac82a6204c50d4ff9
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

The discussion on the call was that we could delete that slide and really n=
ot lose anything. =A0It seemed to add more confusion than clarification. =
=A0Or, we need to figure out a way to reword that one - to avoid the confus=
ion.=A0<div>
<br></div><div>Mary.</div><div><br><div class=3D"gmail_quote">On Tue, Jul 1=
7, 2012 at 4:01 PM, Stephen Botzko <span dir=3D"ltr">&lt;<a href=3D"mailto:=
stephen.botzko@gmail.com" target=3D"_blank">stephen.botzko@gmail.com</a>&gt=
;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">I think the confusion is in part because all=
 the decks were merged together.=A0 The intro portion was never intended to=
 be an intro to clue.=A0 <br>
<br>In any event, this was a draft, so feedback is welcome.=A0 <br><br>Stev=
e B.<div class=3D"HOEnZb"><div class=3D"h5"><br>
<br><br><div class=3D"gmail_quote">On Tue, Jul 17, 2012 at 11:27 AM, Michae=
l Hammer <span dir=3D"ltr">&lt;<a href=3D"mailto:michael.hammer@yaanatech.c=
om" target=3D"_blank">michael.hammer@yaanatech.com</a>&gt;</span> wrote:<br=
><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1=
px #ccc solid;padding-left:1ex">

<div link=3D"blue" vlink=3D"purple" lang=3D"EN-US"><div><p class=3D"MsoNorm=
al"><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;s=
ans-serif&quot;;color:#1f497d">Steve,<u></u><u></u></span></p><p class=3D"M=
soNormal">

<span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-=
serif&quot;;color:#1f497d"><u></u>=A0<u></u></span></p><p class=3D"MsoNorma=
l"><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1f497d">I am just reading what the slide says, not wh=
at it meant to say.<u></u><u></u></span></p>

<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">It could be made less =
cryptic.<u></u><u></u></span></p>

<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">Mike<u></u><u></u></sp=
an></p>

<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></spa=
n></p>

<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;"> Stephen =
Botzko [mailto:<a href=3D"mailto:stephen.botzko@gmail.com" target=3D"_blank=
">stephen.botzko@gmail.com</a>] <br>

<b>Sent:</b> Tuesday, July 17, 2012 10:58 AM<br><b>To:</b> Michael Hammer<b=
r><b>Cc:</b> <a href=3D"mailto:mary.ietf.barnes@gmail.com" target=3D"_blank=
">mary.ietf.barnes@gmail.com</a>; <a href=3D"mailto:clue@ietf.org" target=
=3D"_blank">clue@ietf.org</a></span></p>

<div><div><br><b>Subject:</b> Re: [clue] Design team meeting: July 17th, 20=
12<u></u><u></u></div></div><p></p><div><div><p class=3D"MsoNormal"><u></u>=
=A0<u></u></p><p class=3D"MsoNormal" style=3D"margin-bottom:12.0pt">
&gt;&gt;&gt; <span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot=
;,&quot;sans-serif&quot;;color:#1f497d">Slide 6 says TP is not about multip=
le streams.=A0 <br>Multiple streams are frequently used in TP.=A0 However, =
multiple streams by themselves are not enough to create the co-location exp=
erience.=A0 That is the point of slide 6.<br>

<br>Generally CLUE needs to enable TP, it likely will also be useful for ot=
her applications (some of which are listed on Slide 6).<br><br>Steve B.<br>=
<br></span><u></u><u></u></p><div><p class=3D"MsoNormal">On Tue, Jul 17, 20=
12 at 9:34 AM, Michael Hammer &lt;<a href=3D"mailto:michael.hammer@yaanatec=
h.com" target=3D"_blank">michael.hammer@yaanatech.com</a>&gt; wrote:<u></u>=
<u></u></p>

<div><div><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-famil=
y:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">Mary,</span><u>=
</u><u></u></p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">=A0</span>=
<u></u><u></u></p>

<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">There is one disconnect i=
n the slides.=A0 </span><u></u><u></u></p><p class=3D"MsoNormal"><span styl=
e=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot=
;;color:#1f497d">Slide 6 says TP is not about multiple streams.=A0 </span><=
u></u><u></u></p>

<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Slide 22 then says it is =
about multiple streams.</span><u></u><u></u></p><p class=3D"MsoNormal"><spa=
n style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-seri=
f&quot;;color:#1f497d">Which is it?</span><u></u><u></u></p>

<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">=A0</span><u></u><u></u><=
/p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">Mike</span><u></u><u><=
/u></p>

<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">=A0</span><u></u><u></u><=
/p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">=A0</span><u></u><u></=
u></p>

<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;"> <a href=
=3D"mailto:clue-bounces@ietf.org" target=3D"_blank">clue-bounces@ietf.org</=
a> [mailto:<a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank">clue-=
bounces@ietf.org</a>] <b>On Behalf Of </b>Mary Barnes<br>

<b>Sent:</b> Monday, July 16, 2012 8:46 PM<br><b>To:</b> CLUE<br><b>Subject=
:</b> Re: [clue] Design team meeting: July 17th, 2012</span><u></u><u></u><=
/p><div><div><p class=3D"MsoNormal">=A0<u></u><u></u></p><p class=3D"MsoNor=
mal">

I have combined the presentations I have received by this time (overview, u=
se cases (Roni&#39;s from last week) and framework) into a single presentat=
ion. =A0The wiki doesn&#39;t like the large .ppt file, so I have just uploa=
ded the file in the meeting proceedings (which we would need to do in the e=
nd anyways).=A0<u></u><u></u></p>

<div><p class=3D"MsoNormal">=A0<u></u><u></u></p></div><div><p class=3D"Mso=
Normal">We will go over this on the call tomorrow:<u></u><u></u></p></div><=
div><p class=3D"MsoNormal"><a href=3D"http://www.ietf.org/proceedings/84/cl=
ue.html" target=3D"_blank">http://www.ietf.org/proceedings/84/clue.html</a>=
<u></u><u></u></p>

</div><div><p class=3D"MsoNormal">=A0<u></u><u></u></p></div><div><p class=
=3D"MsoNormal">Also, if someone could volunteer to take notes ahead of time=
, that would be helpful.=A0<u></u><u></u></p></div><div><p class=3D"MsoNorm=
al">=A0<u></u><u></u></p>

</div><div><p class=3D"MsoNormal">Thanks,<u></u><u></u></p></div><div><p cl=
ass=3D"MsoNormal">Mary.<u></u><u></u></p></div><div><p class=3D"MsoNormal">=
=A0<u></u><u></u></p><div><p class=3D"MsoNormal">On Mon, Jul 16, 2012 at 2:=
04 PM, Mary Barnes &lt;<a href=3D"mailto:mary.ietf.barnes@gmail.com" target=
=3D"_blank">mary.ietf.barnes@gmail.com</a>&gt; wrote:<u></u><u></u></p>

<p class=3D"MsoNormal">Hi all,<u></u><u></u></p><div><p class=3D"MsoNormal"=
>=A0<u></u><u></u></p></div><div><p class=3D"MsoNormal">I know everyone is =
busily working on draft updates for the deadline today. =A0However, I would=
 still like to stick with the plan of going over materials for the tutorial=
 tomorrow - July 17th. The expectation is to have the final versions ready =
next week for our design team call on the 24th before IETF-84. =A0Even a ro=
ugh version or outline will help us to make sure we don&#39;t have overlaps=
 and that the material will flow better. The idea is that we will have one =
chart package with everything together so we won&#39;t have to switch prese=
ntations during the tutorial. =A0=A0<u></u><u></u></p>

</div><div><p class=3D"MsoNormal">=A0<u></u><u></u></p></div><div><p class=
=3D"MsoNormal">Please send me what you have no later than 8am Central tomor=
row morning, so I can get them uploaded to the wiki before the meeting.<u><=
/u><u></u></p>

</div><div><p class=3D"MsoNormal">=A0<u></u><u></u></p></div><div><p class=
=3D"MsoNormal">Thanks,<u></u><u></u></p></div><div><p class=3D"MsoNormal">M=
ary.=A0<u></u><u></u></p></div></div><p class=3D"MsoNormal">=A0<u></u><u></=
u></p></div>

</div></div></div></div><p class=3D"MsoNormal" style=3D"margin-bottom:12.0p=
t"><br>_______________________________________________<br>clue mailing list=
<br><a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br=
><a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">h=
ttps://www.ietf.org/mailman/listinfo/clue</a><u></u><u></u></p>

</div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></div></div></div></div><=
/blockquote></div><br>
</div></div></blockquote></div><br></div>

--f46d04462c0ac82a6204c50d4ff9--

From mary.ietf.barnes@gmail.com  Tue Jul 17 14:45:52 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 9529311E80BE for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 14:45:52 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.545
X-Spam-Level: 
X-Spam-Status: No, score=-103.545 tagged_above=-999 required=5 tests=[AWL=0.053, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id hSYca+0YkG6B for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 14:45:51 -0700 (PDT)
Received: from mail-yx0-f172.google.com (mail-yx0-f172.google.com [209.85.213.172]) by ietfa.amsl.com (Postfix) with ESMTP id 4F56A11E80A2 for <clue@ietf.org>; Tue, 17 Jul 2012 14:45:51 -0700 (PDT)
Received: by yenq13 with SMTP id q13so1051792yen.31 for <clue@ietf.org>; Tue, 17 Jul 2012 14:46:38 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :content-type; bh=zFvG6YfTLrBqT9s0joo6v2DbneNuRf7RHUcW1++IBVw=; b=jsc7uaeVpyzDrX6LGQx6vD3NjlmALwULGCEPxKfDJsQ6ldRJ1tl0+dX7mX2G/gkiBw PMZYyFeuUAVw1xtHxMGbLb/Tmcxii1djI4mwehBD8nNED1PytJ3jvoX8ui7slMucHta/ eCj83JSsm94g7VpyxKjAnSM9itNAkLSJjSJ7GZmmBZyxBAkBEMFgh64C0VT0gsuSm7Ul lzEFbMGqNTD4+fCO0BWkOAAj4IJ9J80u6DXhJG7Dqwfwg71VSNHTGVYMmPlMTVy4o49r cpnIuqsNfMGIunmFmIEdTlLhaRlFTg1Ghx1S6lPgS/M542UEvEbd6U4513oDJW8K+Emx Jp9Q==
MIME-Version: 1.0
Received: by 10.60.171.135 with SMTP id au7mr5668547oec.62.1342561598493; Tue, 17 Jul 2012 14:46:38 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Tue, 17 Jul 2012 14:46:38 -0700 (PDT)
In-Reply-To: <1202829137.844891.1342561272804.POLL_ADMIN_PARTICIPATELINK.doodle@worker2>
References: <1202829137.844891.1342561272804.POLL_ADMIN_PARTICIPATELINK.doodle@worker2>
Date: Tue, 17 Jul 2012 16:46:38 -0500
Message-ID: <CAHBDyN6AFExRgv0oCDEjGFOYK0fVvTa-aPy1y6J4eeaPQ3TH-A@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=bcaec55405a62ad35d04c50d7bcc
Subject: [clue] Doodle: Link for poll "CLUE tutorial preparation"
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 17 Jul 2012 21:45:52 -0000

--bcaec55405a62ad35d04c50d7bcc
Content-Type: text/plain; charset=ISO-8859-1

As discussed on the call, since this was the first viewing of the majority
of the charts, we decided it would be best to schedule another call this
week:
http://www.doodle.com/8vwghu7w88f33n5s

I know the potential times are awful for some of you all, but there's no
way around it given the broad range of time zones of the participants.

The objective is to do another run through of the charts. For this round,
we would do it in a realistic presentation style so we have a good idea of
time constraints.  So, ideally all the presenters would be in a location
where they can drive the Webex presentation (i.e., I will toss the ball to
each presenter so you can drive the charts at your chosen page).  Also, I
would like to see how it works to keep the questions to the end of each
presentation.

Thanks,
Mary.

---------- Forwarded message ----------
From: Doodle <mailer@doodle.com>
Date: Tue, Jul 17, 2012 at 4:41 PM
Subject: Doodle: Link for poll "CLUE tutorial preparation"
To: mary.ietf.barnes@gmail.com


You have initiated a poll "CLUE tutorial preparation" at Doodle. The link
to your poll is:



Share this link with all those who should cast their votes. Do not forget
to cast your vote, too.
(If you did not initiate this poll, somebody must accidentally have used
your e-mail address; simply ignore this e-mail, please.)

--bcaec55405a62ad35d04c50d7bcc
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

As discussed on the call, since this was the first viewing of the majority =
of the charts, we decided it would be best to schedule another call this we=
ek:<div><a href=3D"http://www.doodle.com/8vwghu7w88f33n5s" target=3D"_blank=
">http://www.doodle.com/8vwghu7w88f33n5s</a></div>
<div><br></div><div>I know the potential times are awful for some of you al=
l, but there&#39;s no way around it given the broad range of time zones of =
the participants.=A0</div><div>=A0<br><div class=3D"gmail_quote"><span clas=
s=3D"Apple-style-span" style=3D"line-height:20px"><font class=3D"Apple-styl=
e-span" face=3D"arial, helvetica, sans-serif"><span class=3D"Apple-style-sp=
an" style=3D"background-color:rgb(255,255,255)">The objective is to do anot=
her run through of the charts. For this round, we would do it in a realisti=
c presentation style so we have a good idea of time constraints. =A0So, ide=
ally all the presenters would be in a location where they can drive the Web=
ex presentation (i.e., I will toss the ball to each presenter so you can dr=
ive the charts at your chosen page). =A0Also, I would like to see how it wo=
rks to keep the questions to the end of each presentation.=A0</span></font>=
</span></div>
<div class=3D"gmail_quote"><span class=3D"Apple-style-span" style=3D"line-h=
eight:20px"><font class=3D"Apple-style-span" face=3D"arial, helvetica, sans=
-serif"><span class=3D"Apple-style-span" style=3D"background-color:rgb(255,=
255,255)"><br>
</span></font></span></div><div class=3D"gmail_quote"><span class=3D"Apple-=
style-span" style=3D"line-height:20px"><font class=3D"Apple-style-span" fac=
e=3D"arial, helvetica, sans-serif"><span class=3D"Apple-style-span" style=
=3D"background-color:rgb(255,255,255)">Thanks,</span></font></span></div>
<div class=3D"gmail_quote"><span class=3D"Apple-style-span" style=3D"line-h=
eight:20px"><font class=3D"Apple-style-span" face=3D"arial, helvetica, sans=
-serif"><span class=3D"Apple-style-span" style=3D"background-color:rgb(255,=
255,255)">Mary.=A0</span></font></span></div>
<div class=3D"gmail_quote"><br></div><div class=3D"gmail_quote">---------- =
Forwarded message ----------<br>From: <b class=3D"gmail_sendername">Doodle<=
/b> <span dir=3D"ltr">&lt;<a href=3D"mailto:mailer@doodle.com">mailer@doodl=
e.com</a>&gt;</span><br>
Date: Tue, Jul 17, 2012 at 4:41 PM<br>Subject: Doodle: Link for poll &quot;=
CLUE tutorial preparation&quot;<br>To: <a href=3D"mailto:mary.ietf.barnes@g=
mail.com">mary.ietf.barnes@gmail.com</a><br><br><br>You have initiated a po=
ll &quot;CLUE tutorial preparation&quot; at Doodle. The link to your poll i=
s:<br>

<br><br>
<br>
Share this link with all those who should cast their votes. Do not forget t=
o cast your vote, too.<br>
(If you did not initiate this poll, somebody must accidentally have used yo=
ur e-mail address; simply ignore this e-mail, please.)<br>
<br>
<br>
</div><br></div>

--bcaec55405a62ad35d04c50d7bcc--

From allyn@cisco.com  Tue Jul 17 18:21:50 2012
Return-Path: <allyn@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 79DF111E8100 for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 18:21:50 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.598
X-Spam-Level: 
X-Spam-Status: No, score=-10.598 tagged_above=-999 required=5 tests=[AWL=-0.000, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id OE8BalvGKaGr for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 18:21:48 -0700 (PDT)
Received: from rcdn-iport-4.cisco.com (rcdn-iport-4.cisco.com [173.37.86.75]) by ietfa.amsl.com (Postfix) with ESMTP id 9C3D511E80AE for <clue@ietf.org>; Tue, 17 Jul 2012 18:21:47 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=allyn@cisco.com; l=11718; q=dns/txt; s=iport; t=1342574556; x=1343784156; h=from:to:cc:subject:date:message-id:mime-version; bh=uHGjg3va8DM7EpMyOAJo9ySmhhrR/Pmo72o9JLavTzY=; b=bwkIWneCIlcC10h0ffxKCdrFh0bop5rB3cPFjegtfk9ros6ps7FnRhoA m3VmKnQX5vYZf3cNVhLJU1W3lQRKwrGmYnAMy7oCrYRKnz99Li2DtMyp/ 7k3wgv+iycDu2fPu+5esofbtIiKpM4kuFduSJ5L5td00sMrldx/+yGFQc k=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av4EAHMPBlCtJXHB/2dsb2JhbABFgkq2PoEHgiIBBBIBGkwSASpWHwcBBA4NGodrnSegI5EvYAOjX4Fmgl8
X-IronPort-AV: E=Sophos;i="4.77,606,1336348800";  d="scan'208,217";a="102872710"
Received: from rcdn-core2-6.cisco.com ([173.37.113.193]) by rcdn-iport-4.cisco.com with ESMTP; 18 Jul 2012 01:22:30 +0000
Received: from xhc-rcd-x06.cisco.com (xhc-rcd-x06.cisco.com [173.37.183.80]) by rcdn-core2-6.cisco.com (8.14.5/8.14.5) with ESMTP id q6I1MUD9006726 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Wed, 18 Jul 2012 01:22:30 GMT
Received: from xmb-aln-x02.cisco.com ([169.254.5.178]) by xhc-rcd-x06.cisco.com ([173.37.183.80]) with mapi id 14.02.0298.004; Tue, 17 Jul 2012 20:22:30 -0500
From: "Allyn Romanow (allyn)" <allyn@cisco.com>
To: "CLUE (clue@ietf.org)" <clue@ietf.org>
Thread-Topic: a few issues on data model draft
Thread-Index: Ac1kg8WEk0AQoAApS8WeIXXwQa82UA==
Date: Wed, 18 Jul 2012 01:22:29 +0000
Message-ID: <FD433719B54BFE41A70641D06F516F1304001C@xmb-aln-x02.cisco.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.21.112.48]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19046.004
x-tm-as-result: No--44.360700-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: multipart/alternative; boundary="_000_FD433719B54BFE41A70641D06F516F1304001Cxmbalnx02ciscocom_"
MIME-Version: 1.0
Subject: [clue] a few issues on data model draft
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 18 Jul 2012 01:21:50 -0000

--_000_FD433719B54BFE41A70641D06F516F1304001Cxmbalnx02ciscocom_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

Folks,

There are several issues related to the data model that we'd like us to con=
sider. These are things that are not exactly the same as in the framework, =
to a lesser or greater extent. They were brought up during the data model p=
resentation at the interim meeting. I wonder if we could work on resolving =
them?

List based on draft-romanow-clue-data-model-01

1.  Any problem with using media-type for capture attribute as described in=
 the draft?

2.  Any problem with using content-type for capture attribute as described =
in the draft?

3.  DERIVED for capture attribute- Should we have a variable called somethi=
ng like DERIVED, that takes various values, one of which is composed. That =
would mean that if DERIVED is not =3Dcomposed, that the capture is not comp=
osed, and if it =3Dcomposed then it is. I don't have another descriptor to =
propose now, but there could be others either now or later.

Why this change from the framework? I think it is more general than compose=
d Boolean, yet semantically similar.

This does not prevent us from having qualifiers to describe composed, to he=
lp  distinguish between different composed captures, as has  been discussed=
. Also, it needs to be possible to have multiple values for "DERIVED", that=
 is the values should not be mutually exclusive.

4.  Leave switched as a Boolean as in framework. The proposal in the draft =
seems infeasible - we don't want CLUE  to have to include all the ways in w=
hich products might want to implement switching. It would be better to make=
 this more general, but we have no suggestion for it at present- it does no=
t really match the meaning of a derived capture.

5.  As part of the capture description, should we have a parameter NATIVE-A=
SPECT-RATIO, which indicates the aspect ratio for the capture if there is o=
ne, such as 4:3 for a video camera? The reason is that it can help renderin=
g.

Currently it is not possible to tell whether a remote video source is nativ=
ely 4:3 or 16:9, for instance. If we have this, there might usefully be a "=
PREFERRED-ASPECT-RATIO" in the consumer's stream selection message as part =
of the  (e.g. in "<stream-description> / <encoding>").

6.   Multiplex ID - Value sent by consumer in its stream selection message =
with the encoding id and capture id. This is the mechanism by which the con=
sumer tells the provider which multiplex id to generate that stream with, s=
o that the consumer can demultiplex the stream correctly when receiving it.
This is the link between RTP and CLUE as discussed in draft-lennox-clue-rtp=
-usage.

     Think should probably be re-named.


           7.  AUDIO-RENDERING-ID -  If the notion of an audio rendering ta=
g is

     adopted, this would be needed. It is an ID provided by the consumer to=
 the

     provider. The provider uses the tag to associate an audio stream with =
a video

    stream.



Clearly this doesn't cover all the data model issues, but it's a start.



Thanks,

Andy and Allyn



--_000_FD433719B54BFE41A70641D06F516F1304001Cxmbalnx02ciscocom_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40">
<head>
<meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"=
>
<meta name=3D"Generator" content=3D"Microsoft Word 14 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
p
	{mso-style-priority:99;
	mso-margin-top-alt:auto;
	margin-right:0in;
	mso-margin-bottom-alt:auto;
	margin-left:0in;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
p.MsoNoSpacing, li.MsoNoSpacing, div.MsoNoSpacing
	{mso-style-priority:1;
	margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
span.EmailStyle18
	{mso-style-type:personal-compose;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-size:10.0pt;}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang=3D"EN-US" link=3D"blue" vlink=3D"purple">
<div class=3D"WordSection1">
<p><span style=3D"font-family:&quot;Courier New&quot;">Folks,</span><o:p></=
o:p></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">There are several is=
sues related to the data model that we&#8217;d like us to consider. These a=
re things that are not exactly the same as in the framework, to a lesser or=
 greater extent. They were brought up during the data
 model presentation at the interim meeting. I wonder if we could work on re=
solving them?<o:p></o:p></span></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">List based on draft-=
romanow-clue-data-model-01</span><o:p></o:p></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">1.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">Any problem with=
 using media-type for capture attribute as described in the draft?</span><o=
:p></o:p></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">2.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">Any problem with=
 using content-type for capture attribute as described in the draft?</span>=
<o:p></o:p></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">3.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">DERIVED for capt=
ure attribute- Should we have a variable called something like DERIVED, tha=
t takes various values, one of which is composed. That would mean that if D=
ERIVED is not =3Dcomposed, that the capture is
 not composed, and if it =3Dcomposed then it is. I don&#8217;t have another=
 descriptor to propose now, but there could be others either now or later.<=
/span><o:p></o:p></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">Why this change from the framework? I think it is more general than =
composed Boolean, yet semantically similar.<o:p></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">This does not prevent us from having qualifiers to describe composed=
, to help &nbsp;distinguish between different composed captures, as has &nb=
sp;been discussed. Also, it needs to be possible to have
 multiple values for &#8220;DERIVED&#8221;, that is the values should not b=
e mutually exclusive.<o:p></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">4.&nbsp; Leave switched as a Boolean as in framework. The proposal i=
n the draft seems infeasible &#8211; we don&#8217;t want CLUE &nbsp;to have=
 to include all the ways in which products might want to implement switchin=
g.
 It would be better to make this more general, but we have no suggestion fo=
r it at present- it does not really match the meaning of a derived capture.=
<o:p></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">5.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">As part of the c=
apture description, should we have a parameter NATIVE-ASPECT-RATIO, which i=
ndicates the aspect ratio for the capture if there is one, such as 4:3 for =
a video camera? The reason is that it can help
 rendering.<br>
<br>
Currently it is not possible to tell whether a remote video source is nativ=
ely 4:3 or 16:9, for instance. If we have this, there might usefully be a &=
quot;PREFERRED-ASPECT-RATIO&quot; in the consumer's stream selection messag=
e as part of the &nbsp;(e.g. in &quot;&lt;stream-description&gt;
 / &lt;encoding&gt;&quot;).</span><o:p></o:p></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">6.</span><span style=3D"font-size:7.0pt">&nbsp; &nbsp;</span><span s=
tyle=3D"font-family:&quot;Courier New&quot;">Multiplex ID &#8211; Value sen=
t by consumer in its stream selection message with the encoding id and capt=
ure
 id. This is the mechanism by which the consumer tells the provider which m=
ultiplex id to generate that stream with, so that the consumer can demultip=
lex the stream correctly when receiving it.
<br>
This is the link between RTP and CLUE as discussed in draft-lennox-clue-rtp=
-usage.<o:p></o:p></span></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">&nbsp;&nbsp;&nbsp;&n=
bsp; Think should probably be re-named.<br>
<br>
</span><o:p></o:p></p>
<p class=3D"MsoNoSpacing">&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;<span style=3D"font-family:&quot;Courier New&quot;">7.</span><s=
pan style=3D"font-size:7.0pt;font-family:&quot;Courier New&quot;">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">AUDIO-RENDERING-=
ID &#8211; &nbsp;If the notion of an audio rendering tag is<o:p></o:p></spa=
n></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">&nbsp;&nbsp; &nbsp;&nbsp;adopted, this would be needed. It is an ID prov=
ided by the consumer to the<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">&nbsp;&nbsp;&nbsp; &nbsp;provider. The provider uses the tag to associat=
e an audio stream with a video<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">&nbsp;&nbsp;&nbsp;&nbsp;stream.<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">Clearly this doesn&#8217;t cover all the data model issues, but it&#8217=
;s a start.<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">Thanks,<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">Andy and Allyn<o:p></o:p></span></p>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;"><o:p>&nbsp;</o:p></span></p>
</div>
</body>
</html>

--_000_FD433719B54BFE41A70641D06F516F1304001Cxmbalnx02ciscocom_--

From Christian.Groves@nteczone.com  Tue Jul 17 18:48:55 2012
Return-Path: <Christian.Groves@nteczone.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id CE53611E8093 for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 18:48:55 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.239
X-Spam-Level: 
X-Spam-Status: No, score=-2.239 tagged_above=-999 required=5 tests=[AWL=-0.240, BAYES_00=-2.599, J_CHICKENPOX_22=0.6]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id xqu0Kr3vmIC6 for <clue@ietfa.amsl.com>; Tue, 17 Jul 2012 18:48:55 -0700 (PDT)
Received: from ipmail07.adl2.internode.on.net (ipmail07.adl2.internode.on.net [IPv6:2001:44b8:8060:ff02:300:1:2:7]) by ietfa.amsl.com (Postfix) with ESMTP id 00E7521F865C for <clue@ietf.org>; Tue, 17 Jul 2012 18:48:54 -0700 (PDT)
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: ApMBAE0VBlB20Yrf/2dsb2JhbAANOLwyAQEBBAEBATUbGwoNBBwEAQEBCRYIBwkDAgECARUfCQgTBgIBAYgUqUaTdgSLQIZPA6g2gU0
Received: from ppp118-209-138-223.lns20.mel6.internode.on.net (HELO [127.0.0.1]) ([118.209.138.223]) by ipmail07.adl2.internode.on.net with ESMTP; 18 Jul 2012 11:19:41 +0930
Message-ID: <50061632.5010801@nteczone.com>
Date: Wed, 18 Jul 2012 11:49:38 +1000
From: Christian Groves <Christian.Groves@nteczone.com>
User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:14.0) Gecko/20120713 Thunderbird/14.0
MIME-Version: 1.0
To: clue@ietf.org
References: <9AC2C4348FD86B4BB1F8FA9C5E3A5EDC07A3819F@xmb-sjc-221.amer.cisco.com> <4FE2A361.6080501@nteczone.com>
In-Reply-To: <4FE2A361.6080501@nteczone.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: [clue]   a few issues on data model draft plus extra comments
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 18 Jul 2012 01:48:55 -0000

Hello Allyn,

I thought i'd resend this seeing you're opening up discussion on the 
data model. I didn't see a response to this email. Maybe it was missed?

Regards, Christian

On 21/06/2012 2:30 PM, Christian Groves wrote:
> Hello Allyn and Andy,
>
> Post the interim meeting I've had a bit of a closer look at the data 
> model and I have a few comments/questions:
>
>
> o Section 4 - Perhaps the numbering in section 4 could follow the 
> hierarchy of the XML scheme. i.e. rather than <capture-description> 
> being at level 4.2 it could be 4.1.1. It might make it easier for 
> readers to follow.
>
> o Sect. 4.3 <capture-id> - This indicates that the alphanumeric value 
> is unique. Within what scope is it unique? i.e. the framework uses the 
> ACx and VCx conventions. Where x could be the same value for both 
> audio and video. So is the ID unique to an endpoint / capture scene / 
> media etc? Maybe we want to keep the alphanumeric convention AC,VC etc?
>
> o Sect. 4.4 - If we adopted the naming scheme from the framework 
> perhaps this element is redundant? Alternatively could audio/video 
> result in another branch? i.e. be sub-elements all the parameters 
> relevant to audio would be under it and all the video parameters would 
> be under the video branch.
>
> o Sect. 4.5 - The description seems to only focus on video. Wouldn't 
> an audio feed generated by a computer also be valid?
>
> o Sect. 4.8.1 - The framework calls this "Are of capture". We probably 
> should be consistent.
>
> o Sect. 4.8.3 - FYI, in ITU-T q5/16 at the last meeting a proposal was 
> received to add this to the parameters document. The proposal wasn't 
> supported as it was felt more information was necessary.
>
> o Sect. 4.12 - It says "...When there are multiple entries of the same 
> media type in the capture scene,...". I'm not sure what the 
> significance is of "the same media type". According to the text below 
> it entries can either be a list of audio or video, so they'll always 
> be the same media type.
>
> o Sect. 4.12.3.2 Nit missing opening "<".
>
> o Sect. 4.12 - It would be good to align the names with the framework.
>
> Regards, Christian
>
>
> On 7/06/2012 3:43 AM, Allyn Romanow (allyn) wrote:
>> Hi,
>> I've updated the data model draft to correct an error. The original 
>> draft had characters suggesting that elements be mandatory or 
>> repeated. This is really appropriate for the messages but not for the 
>> basic information model. The current draft follows the example of 
>> XCON RFC 6501 in saying only that the top level element, in our case, 
>> CLUE-info, is mandatory.
>>
>> Regards,
>> Ally
>>
>> -----Original Message-----
>> From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
>> Sent: Wednesday, June 06, 2012 10:38 AM
>> To: Allyn Romanow (allyn)
>> Cc: andy.pepperell@silverflare.com
>> Subject: New Version Notification for 
>> draft-romanow-clue-data-model-01.txt
>>
>> A new version of I-D, draft-romanow-clue-data-model-01.txt has been 
>> successfully submitted by Allyn Romanow and posted to the IETF 
>> repository.
>>
>> Filename:     draft-romanow-clue-data-model
>> Revision:     01
>> Title:         Data model for the CLUE Framework
>> Creation date:     2012-06-06
>> WG ID:         Individual Submission
>> Number of pages: 11
>>
>> Abstract:
>>     This draft is for discussion in the CLUE working group.  It proposes
>>     a data model for the CLUE Framework.
>>
>>
>>
>> The IETF Secretariat
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
>>
>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From ron.even.tlv@gmail.com  Wed Jul 18 13:56:11 2012
Return-Path: <ron.even.tlv@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 85F5111E80A6 for <clue@ietfa.amsl.com>; Wed, 18 Jul 2012 13:56:11 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.498
X-Spam-Level: 
X-Spam-Status: No, score=-3.498 tagged_above=-999 required=5 tests=[AWL=0.100,  BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id kmaByq-ar42w for <clue@ietfa.amsl.com>; Wed, 18 Jul 2012 13:56:08 -0700 (PDT)
Received: from mail-wi0-f170.google.com (mail-wi0-f170.google.com [209.85.212.170]) by ietfa.amsl.com (Postfix) with ESMTP id DC80411E8087 for <clue@ietf.org>; Wed, 18 Jul 2012 13:56:07 -0700 (PDT)
Received: by wibhq12 with SMTP id hq12so4435271wib.1 for <clue@ietf.org>; Wed, 18 Jul 2012 13:56:58 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=from:to:references:in-reply-to:subject:date:message-id:mime-version :content-type:x-mailer:thread-index:content-language; bh=cfKkoHXgB46BFEcoEv59cXUSwGt081N3orw5P8STNwE=; b=CKmin9Z+c5yco54QJGqkT0mwoCXmlj8whb99p3CkNGoTbr/5AxTNDfiBOfi8LvmGp6 Aot6lUz7KSPsMg0O8mlt0VVOQSe3T7d9iaH4Vc1XIOH7lhKDoK/7lTM7hCVZIISt8LWG gtKoFlNSqg46hua4Kqtrq6kIEzZ37bPNiGSeuvTYxXTux3A0TKZAQZXS5pbobQ8ApZKK lfj2T9Q+v4D+AZ4Lv4uZhCoiPtXn6hVGvBKg8RIrN78ThoQDx7SxMnmzxCHlVGExABLv 2MhfI2eDEFASfYtmKUGl50Hg1Rh7fiw5TZRwQAJlqUH0CPjqVtrqP8wGK/2GGWI+pV1l xlcw==
Received: by 10.217.7.6 with SMTP id z6mr461203wes.5.1342645018249; Wed, 18 Jul 2012 13:56:58 -0700 (PDT)
Received: from RoniE (bzq-79-176-214-12.red.bezeqint.net. [79.176.214.12]) by mx.google.com with ESMTPS id y5sm34541031wiw.9.2012.07.18.13.56.55 (version=TLSv1/SSLv3 cipher=OTHER); Wed, 18 Jul 2012 13:56:57 -0700 (PDT)
From: "Roni Even" <ron.even.tlv@gmail.com>
To: "'Allyn Romanow \(allyn\)'" <allyn@cisco.com>, "'CLUE'" <clue@ietf.org>
References: <FD433719B54BFE41A70641D06F516F1304001C@xmb-aln-x02.cisco.com>
In-Reply-To: <FD433719B54BFE41A70641D06F516F1304001C@xmb-aln-x02.cisco.com>
Date: Wed, 18 Jul 2012 23:56:15 +0200
Message-ID: <023001cd6530$28b664d0$7a232e70$@gmail.com>
MIME-Version: 1.0
Content-Type: multipart/alternative; boundary="----=_NextPart_000_0231_01CD6540.EC40E280"
X-Mailer: Microsoft Outlook 14.0
Thread-Index: AQHpp+pclpJQIgO9E6cLmqOWcvzKqJb3CvyQ
Content-Language: en-us
Subject: Re: [clue] a few issues on data model draft
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 18 Jul 2012 20:56:11 -0000

This is a multipart message in MIME format.

------=_NextPart_000_0231_01CD6540.EC40E280
Content-Type: text/plain;
	charset="us-ascii"
Content-Transfer-Encoding: 7bit

Hi,

Reviewed the draft, inline for your question (BTW: not all the new
attributes here are in BOLD for example captureID)

 

Other comments

 

1.       Need to add axis of capture to the media capture (now in the
framework)

2.       The capture scene text and language should be sets of (text,
language), I think is not the current structure

 

Thanks

Roni

 

From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
Allyn Romanow (allyn)
Sent: 18 July, 2012 3:22 AM
To: CLUE (clue@ietf.org)
Subject: [clue] a few issues on data model draft

 

Folks,

There are several issues related to the data model that we'd like us to
consider. These are things that are not exactly the same as in the
framework, to a lesser or greater extent. They were brought up during the
data model presentation at the interim meeting. I wonder if we could work on
resolving them?

List based on draft-romanow-clue-data-model-01

1.  Any problem with using media-type for capture attribute as described in
the draft?

RE: OK

2.  Any problem with using content-type for capture attribute as described
in the draft?

                RE: I did not see any difference from the framework in which
case I am OK.

3.  DERIVED for capture attribute- Should we have a variable called
something like DERIVED, that takes various values, one of which is composed.
That would mean that if DERIVED is not =composed, that the capture is not
composed, and if it =composed then it is. I don't have another descriptor to
propose now, but there could be others either now or later.

Why this change from the framework? I think it is more general than composed
Boolean, yet semantically similar.

This does not prevent us from having qualifiers to describe composed, to
help  distinguish between different composed captures, as has  been
discussed. Also, it needs to be possible to have multiple values for
"DERIVED", that is the values should not be mutually exclusive.

                RE:  I am OK if this is for future extension but am not sure
about the structure  the high level derived which has Compose and future
something (not sure what). The composed has a value (true, false) and child
elements for extensions . Is this the proposed structure?

4.  Leave switched as a Boolean as in framework. The proposal in the draft
seems infeasible - we don't want CLUE  to have to include all the ways in
which products might want to implement switching. It would be better to make
this more general, but we have no suggestion for it at present- it does not
really match the meaning of a derived capture.

                RE: I think that if we have the extension for composed as I
outlined above we can have similar here.

5.  As part of the capture description, should we have a parameter
NATIVE-ASPECT-RATIO, which indicates the aspect ratio for the capture if
there is one, such as 4:3 for a video camera? The reason is that it can help
rendering.

Currently it is not possible to tell whether a remote video source is
natively 4:3 or 16:9, for instance. If we have this, there might usefully be
a "PREFERRED-ASPECT-RATIO" in the consumer's stream selection message as
part of the  (e.g. in "<stream-description> / <encoding>").

                RE: No need, first of all it does not work with switched
capture that may have different aspect ratios. Also this is available in the
SDP as well as a way for receiver to ask for specific ratio using the SDP
image attribute.

 

6.   Multiplex ID - Value sent by consumer in its stream selection message
with the encoding id and capture id. This is the mechanism by which the
consumer tells the provider which multiplex id to generate that stream with,
so that the consumer can demultiplex the stream correctly when receiving it.

This is the link between RTP and CLUE as discussed in
draft-lennox-clue-rtp-usage.

     Think should probably be re-named.

               RE: I do not see the need the mapping is to the capture ID
which is a numeric value. See
http://tools.ietf.org/html/draft-even-clue-rtp-mapping-03 

           7.  AUDIO-RENDERING-ID -  If the notion of an audio rendering tag
is

     adopted, this would be needed. It is an ID provided by the consumer to
the

     provider. The provider uses the tag to associate an audio stream with a
video

    stream.

                RE; suggest to take this out at the moment until we agree if
needed and how to map.

 

Clearly this doesn't cover all the data model issues, but it's a start.

 

Thanks,

Andy and Allyn

 

 


------=_NextPart_000_0231_01CD6540.EC40E280
Content-Type: text/html;
	charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" =
xmlns:o=3D"urn:schemas-microsoft-com:office:office" =
xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" =
xmlns=3D"http://www.w3.org/TR/REC-html40"><head><meta =
http-equiv=3DContent-Type content=3D"text/html; =
charset=3Dus-ascii"><meta name=3DGenerator content=3D"Microsoft Word 14 =
(filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
p
	{mso-style-priority:99;
	mso-margin-top-alt:auto;
	margin-right:0in;
	mso-margin-bottom-alt:auto;
	margin-left:0in;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
p.MsoNoSpacing, li.MsoNoSpacing, div.MsoNoSpacing
	{mso-style-priority:1;
	margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
p.MsoListParagraph, li.MsoListParagraph, div.MsoListParagraph
	{mso-style-priority:34;
	margin-top:0in;
	margin-right:0in;
	margin-bottom:0in;
	margin-left:.5in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
span.EmailStyle19
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
span.EmailStyle20
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-size:10.0pt;}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
/* List Definitions */
@list l0
	{mso-list-id:959382058;
	mso-list-type:hybrid;
	mso-list-template-ids:-1109785824 67698703 67698713 67698715 67698703 =
67698713 67698715 67698703 67698713 67698715;}
@list l0:level1
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level2
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level3
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
@list l0:level4
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level5
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level6
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
@list l0:level7
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level8
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level9
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
ol
	{margin-bottom:0in;}
ul
	{margin-bottom:0in;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue =
vlink=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Hi,<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Reviewed the draft, inline for your question (BTW: not all the new =
attributes here are in BOLD for example =
captureID)<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Other comments<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoListParagraph =
style=3D'text-indent:-.25in;mso-list:l0 level1 lfo1'><![if =
!supportLists]><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><span style=3D'mso-list:Ignore'>1.<span style=3D'font:7.0pt "Times =
New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; =
</span></span></span><![endif]><span dir=3DLTR></span><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Need to add axis of capture to the media capture (now in the =
framework)<o:p></o:p></span></p><p class=3DMsoListParagraph =
style=3D'text-indent:-.25in;mso-list:l0 level1 lfo1'><![if =
!supportLists]><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><span style=3D'mso-list:Ignore'>2.<span style=3D'font:7.0pt "Times =
New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; =
</span></span></span><![endif]><span dir=3DLTR></span><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>The capture scene text and language should be sets of (text, =
language), I think is not the current structure<o:p></o:p></span></p><p =
class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Thanks<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Roni<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><div><div =
style=3D'border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in'><p class=3DMsoNormal><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span>=
</b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] <b>On Behalf Of =
</b>Allyn Romanow (allyn)<br><b>Sent:</b> 18 July, 2012 3:22 =
AM<br><b>To:</b> CLUE (clue@ietf.org)<br><b>Subject:</b> [clue] a few =
issues on data model draft<o:p></o:p></span></p></div></div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><p><span =
style=3D'font-family:"Courier New"'>Folks,</span><o:p></o:p></p><p><span =
style=3D'font-family:"Courier New"'>There are several issues related to =
the data model that we&#8217;d like us to consider. These are things =
that are not exactly the same as in the framework, to a lesser or =
greater extent. They were brought up during the data model presentation =
at the interim meeting. I wonder if we could work on resolving =
them?<o:p></o:p></span></p><p><span style=3D'font-family:"Courier =
New"'>List based on =
draft-romanow-clue-data-model-01</span><o:p></o:p></p><p =
style=3D'margin-left:.5in'><span style=3D'font-family:"Courier =
New"'>1.</span><span style=3D'font-size:7.0pt'>&nbsp; </span><span =
style=3D'font-family:"Courier New"'>Any problem with using media-type =
for capture attribute as described in the draft?<o:p></o:p></span></p><p =
style=3D'margin-left:.5in'><span style=3D'color:#1F497D'>RE: =
OK<o:p></o:p></span></p><p style=3D'margin-left:.5in'><span =
style=3D'font-family:"Courier New"'>2.</span><span =
style=3D'font-size:7.0pt'>&nbsp; </span><span =
style=3D'font-family:"Courier New"'>Any problem with using content-type =
for capture attribute as described in the =
draft?<o:p></o:p></span></p><p><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp; RE: I did not see any difference from the framework =
in which case I am OK.<o:p></o:p></span></p><p =
style=3D'margin-left:.5in'><span style=3D'font-family:"Courier =
New"'>3.</span><span style=3D'font-size:7.0pt'>&nbsp; </span><span =
style=3D'font-family:"Courier New"'>DERIVED for capture attribute- =
Should we have a variable called something like DERIVED, that takes =
various values, one of which is composed. That would mean that if =
DERIVED is not =3Dcomposed, that the capture is not composed, and if it =
=3Dcomposed then it is. I don&#8217;t have another descriptor to propose =
now, but there could be others either now or =
later.</span><o:p></o:p></p><p style=3D'margin-left:.5in'><span =
style=3D'font-family:"Courier New"'>Why this change from the framework? =
I think it is more general than composed Boolean, yet semantically =
similar.<o:p></o:p></span></p><p style=3D'margin-left:.5in'><span =
style=3D'font-family:"Courier New"'>This does not prevent us from having =
qualifiers to describe composed, to help &nbsp;distinguish between =
different composed captures, as has &nbsp;been discussed. Also, it needs =
to be possible to have multiple values for &#8220;DERIVED&#8221;, that =
is the values should not be mutually =
exclusive.<o:p></o:p></span></p><p><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp; RE:&nbsp; I am OK if this is for future extension =
but am not sure about the structure &nbsp;the high level derived which =
has Compose and future something (not sure what). The composed has a =
value (true, false) and child elements for extensions . Is this the =
proposed structure?<o:p></o:p></span></p><p =
style=3D'margin-left:.5in'><span style=3D'font-family:"Courier =
New"'>4.&nbsp; Leave switched as a Boolean as in framework. The proposal =
in the draft seems infeasible &#8211; we don&#8217;t want CLUE &nbsp;to =
have to include all the ways in which products might want to implement =
switching. It would be better to make this more general, but we have no =
suggestion for it at present- it does not really match the meaning of a =
derived capture.<o:p></o:p></span></p><p><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp; RE: I think that if we have the extension for =
composed as I outlined above we can have similar =
here.<o:p></o:p></span></p><p style=3D'margin-left:.5in'><span =
style=3D'font-family:"Courier New"'>5.</span><span =
style=3D'font-size:7.0pt'>&nbsp; </span><span =
style=3D'font-family:"Courier New"'>As part of the capture description, =
should we have a parameter NATIVE-ASPECT-RATIO, which indicates the =
aspect ratio for the capture if there is one, such as 4:3 for a video =
camera? The reason is that it can help rendering.<br><br>Currently it is =
not possible to tell whether a remote video source is natively 4:3 or =
16:9, for instance. If we have this, there might usefully be a =
&quot;PREFERRED-ASPECT-RATIO&quot; in the consumer's stream selection =
message as part of the &nbsp;(e.g. in &quot;&lt;stream-description&gt; / =
&lt;encoding&gt;&quot;).<o:p></o:p></span></p><p><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp; RE: No need, first of all it does not work with =
switched capture that may have different aspect ratios. Also this is =
available in the SDP as well as a way for receiver to ask for specific =
ratio using the SDP image attribute.<o:p></o:p></span></p><p><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p style=3D'margin-left:.5in'><span =
style=3D'font-family:"Courier New"'>6.</span><span =
style=3D'font-size:7.0pt'>&nbsp; &nbsp;</span><span =
style=3D'font-family:"Courier New"'>Multiplex ID &#8211; Value sent by =
consumer in its stream selection message with the encoding id and =
capture id. This is the mechanism by which the consumer tells the =
provider which multiplex id to generate that stream with, so that the =
consumer can demultiplex the stream correctly when receiving it. =
<br>This is the link between RTP and CLUE as discussed in =
draft-lennox-clue-rtp-usage.<o:p></o:p></span></p><p =
style=3D'margin-bottom:12.0pt'><span style=3D'font-family:"Courier =
New"'>&nbsp;&nbsp;&nbsp;&nbsp; Think should probably be =
re-named.<o:p></o:p></span></p><p style=3D'margin-bottom:12.0pt'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'> =
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp; RE: I do not see the need the mapping is to the capture ID =
which is a numeric value. See <a =
href=3D"http://tools.ietf.org/html/draft-even-clue-rtp-mapping-03">http:/=
/tools.ietf.org/html/draft-even-clue-rtp-mapping-03</a> =
<o:p></o:p></span></p><p class=3DMsoNoSpacing>&nbsp;&nbsp; =
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<span =
style=3D'font-family:"Courier New"'>7.</span><span =
style=3D'font-size:7.0pt;font-family:"Courier New"'>&nbsp; </span><span =
style=3D'font-family:"Courier New"'>AUDIO-RENDERING-ID &#8211; &nbsp;If =
the notion of an audio rendering tag is<o:p></o:p></span></p><p =
class=3DMsoNoSpacing><span style=3D'font-family:"Courier =
New"'>&nbsp;&nbsp; &nbsp;&nbsp;adopted, this would be needed. It is an =
ID provided by the consumer to the<o:p></o:p></span></p><p =
class=3DMsoNoSpacing><span style=3D'font-family:"Courier =
New"'>&nbsp;&nbsp;&nbsp; &nbsp;provider. The provider uses the tag to =
associate an audio stream with a video<o:p></o:p></span></p><p =
class=3DMsoNoSpacing><span style=3D'font-family:"Courier =
New"'>&nbsp;&nbsp;&nbsp;&nbsp;stream.<o:p></o:p></span></p><p =
class=3DMsoNoSpacing><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp; RE; suggest to take this out at the moment until we =
agree if needed and how to map.<o:p></o:p></span></p><p =
class=3DMsoNoSpacing><span style=3D'font-family:"Courier =
New"'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNoSpacing><span =
style=3D'font-family:"Courier New"'>Clearly this doesn&#8217;t cover all =
the data model issues, but it&#8217;s a start.<o:p></o:p></span></p><p =
class=3DMsoNoSpacing><span style=3D'font-family:"Courier =
New"'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNoSpacing><span =
style=3D'font-family:"Courier New"'>Thanks,<o:p></o:p></span></p><p =
class=3DMsoNoSpacing><span style=3D'font-family:"Courier New"'>Andy and =
Allyn<o:p></o:p></span></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p =
class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'><o:p>&nbsp;=
</o:p></span></p></div></body></html>
------=_NextPart_000_0231_01CD6540.EC40E280--


From allyn@cisco.com  Wed Jul 18 13:58:52 2012
Return-Path: <allyn@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id BB1A211E809B for <clue@ietfa.amsl.com>; Wed, 18 Jul 2012 13:58:52 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.598
X-Spam-Level: 
X-Spam-Status: No, score=-10.598 tagged_above=-999 required=5 tests=[AWL=-0.000, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 7iKaVhX-flU0 for <clue@ietfa.amsl.com>; Wed, 18 Jul 2012 13:58:49 -0700 (PDT)
Received: from rcdn-iport-2.cisco.com (rcdn-iport-2.cisco.com [173.37.86.73]) by ietfa.amsl.com (Postfix) with ESMTP id 38A8E11E8087 for <clue@ietf.org>; Wed, 18 Jul 2012 13:58:49 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=allyn@cisco.com; l=23505; q=dns/txt; s=iport; t=1342645180; x=1343854780; h=from:to:subject:date:message-id:references:in-reply-to: mime-version; bh=qwNpozWG5Kexk6gHEsN8OiEsDahFG/ixpqUul5euXnc=; b=SjQ3TgZPwohUVsNaix6yy8KFaNYx/s17EBmjFqhQa3sDOnX/52Pf7L3T O/qXfCF6Z86KP+EgMRZigxCLUQJdA7E2IVvKkzGF059KnjZFaSWnqdQvw bw3NyVQaqFT2w9fERD/FTwjX/eCLUy0mfKAul6Off1S9KdcTkI1YcROEE 0=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: AjoFANkiB1CtJV2b/2dsb2JhbABFgkqtaQGJAYEHgiABAQEEEgEaXAIBCA4DBAEBCxYHByERFAkIAQEEARIIGodcAwwLnXmWTg2JTopbZYYwYAOWV4l0gxyBZoJf
X-IronPort-AV: E=Sophos;i="4.77,611,1336348800";  d="scan'208,217";a="103163258"
Received: from rcdn-core-4.cisco.com ([173.37.93.155]) by rcdn-iport-2.cisco.com with ESMTP; 18 Jul 2012 20:59:39 +0000
Received: from xhc-aln-x10.cisco.com (xhc-aln-x10.cisco.com [173.36.12.84]) by rcdn-core-4.cisco.com (8.14.5/8.14.5) with ESMTP id q6IKxc4m022243 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Wed, 18 Jul 2012 20:59:38 GMT
Received: from xmb-aln-x02.cisco.com ([169.254.5.178]) by xhc-aln-x10.cisco.com ([173.36.12.84]) with mapi id 14.02.0298.004; Wed, 18 Jul 2012 15:59:37 -0500
From: "Allyn Romanow (allyn)" <allyn@cisco.com>
To: Roni Even <ron.even.tlv@gmail.com>, "'CLUE'" <clue@ietf.org>
Thread-Topic: [clue] a few issues on data model draft
Thread-Index: Ac1kg8WEk0AQoAApS8WeIXXwQa82UAA1kpGAAAx4C1A=
Date: Wed, 18 Jul 2012 20:59:37 +0000
Message-ID: <FD433719B54BFE41A70641D06F516F13040D83@xmb-aln-x02.cisco.com>
References: <FD433719B54BFE41A70641D06F516F1304001C@xmb-aln-x02.cisco.com> <023001cd6530$28b664d0$7a232e70$@gmail.com>
In-Reply-To: <023001cd6530$28b664d0$7a232e70$@gmail.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [128.107.142.117]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19050.000
x-tm-as-result: No--46.353700-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: multipart/alternative; boundary="_000_FD433719B54BFE41A70641D06F516F13040D83xmbalnx02ciscocom_"
MIME-Version: 1.0
Subject: Re: [clue] a few issues on data model draft
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 18 Jul 2012 20:58:52 -0000

--_000_FD433719B54BFE41A70641D06F516F13040D83xmbalnx02ciscocom_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

Hi Roni,
Sure, these are easy to add-
thanks

From: Roni Even [mailto:ron.even.tlv@gmail.com]
Sent: Wednesday, July 18, 2012 2:56 PM
To: Allyn Romanow (allyn); 'CLUE'
Subject: RE: [clue] a few issues on data model draft

Hi,
Reviewed the draft, inline for your question (BTW: not all the new attribut=
es here are in BOLD for example captureID)

Other comments


1.       Need to add axis of capture to the media capture (now in the frame=
work)

2.       The capture scene text and language should be sets of (text, langu=
age), I think is not the current structure

Thanks
Roni

From: clue-bounces@ietf.org<mailto:clue-bounces@ietf.org> [mailto:clue-boun=
ces@ietf.org]<mailto:[mailto:clue-bounces@ietf.org]> On Behalf Of Allyn Rom=
anow (allyn)
Sent: 18 July, 2012 3:22 AM
To: CLUE (clue@ietf.org<mailto:clue@ietf.org>)
Subject: [clue] a few issues on data model draft


Folks,

There are several issues related to the data model that we'd like us to con=
sider. These are things that are not exactly the same as in the framework, =
to a lesser or greater extent. They were brought up during the data model p=
resentation at the interim meeting. I wonder if we could work on resolving =
them?

List based on draft-romanow-clue-data-model-01

1.  Any problem with using media-type for capture attribute as described in=
 the draft?

RE: OK

2.  Any problem with using content-type for capture attribute as described =
in the draft?

                RE: I did not see any difference from the framework in whic=
h case I am OK.

3.  DERIVED for capture attribute- Should we have a variable called somethi=
ng like DERIVED, that takes various values, one of which is composed. That =
would mean that if DERIVED is not =3Dcomposed, that the capture is not comp=
osed, and if it =3Dcomposed then it is. I don't have another descriptor to =
propose now, but there could be others either now or later.

Why this change from the framework? I think it is more general than compose=
d Boolean, yet semantically similar.

This does not prevent us from having qualifiers to describe composed, to he=
lp  distinguish between different composed captures, as has  been discussed=
. Also, it needs to be possible to have multiple values for "DERIVED", that=
 is the values should not be mutually exclusive.

                RE:  I am OK if this is for future extension but am not sur=
e about the structure  the high level derived which has Compose and future =
something (not sure what). The composed has a value (true, false) and child=
 elements for extensions . Is this the proposed structure?

4.  Leave switched as a Boolean as in framework. The proposal in the draft =
seems infeasible - we don't want CLUE  to have to include all the ways in w=
hich products might want to implement switching. It would be better to make=
 this more general, but we have no suggestion for it at present- it does no=
t really match the meaning of a derived capture.

                RE: I think that if we have the extension for composed as I=
 outlined above we can have similar here.

5.  As part of the capture description, should we have a parameter NATIVE-A=
SPECT-RATIO, which indicates the aspect ratio for the capture if there is o=
ne, such as 4:3 for a video camera? The reason is that it can help renderin=
g.

Currently it is not possible to tell whether a remote video source is nativ=
ely 4:3 or 16:9, for instance. If we have this, there might usefully be a "=
PREFERRED-ASPECT-RATIO" in the consumer's stream selection message as part =
of the  (e.g. in "<stream-description> / <encoding>").

                RE: No need, first of all it does not work with switched ca=
pture that may have different aspect ratios. Also this is available in the =
SDP as well as a way for receiver to ask for specific ratio using the SDP i=
mage attribute.



6.   Multiplex ID - Value sent by consumer in its stream selection message =
with the encoding id and capture id. This is the mechanism by which the con=
sumer tells the provider which multiplex id to generate that stream with, s=
o that the consumer can demultiplex the stream correctly when receiving it.
This is the link between RTP and CLUE as discussed in draft-lennox-clue-rtp=
-usage.

     Think should probably be re-named.

               RE: I do not see the need the mapping is to the capture ID w=
hich is a numeric value. See http://tools.ietf.org/html/draft-even-clue-rtp=
-mapping-03

           7.  AUDIO-RENDERING-ID -  If the notion of an audio rendering ta=
g is

     adopted, this would be needed. It is an ID provided by the consumer to=
 the

     provider. The provider uses the tag to associate an audio stream with =
a video

    stream.

                RE; suggest to take this out at the moment until we agree i=
f needed and how to map.



Clearly this doesn't cover all the data model issues, but it's a start.



Thanks,

Andy and Allyn



--_000_FD433719B54BFE41A70641D06F516F13040D83xmbalnx02ciscocom_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40">
<head>
<meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"=
>
<meta name=3D"Generator" content=3D"Microsoft Word 14 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
p
	{mso-style-priority:99;
	mso-margin-top-alt:auto;
	margin-right:0in;
	mso-margin-bottom-alt:auto;
	margin-left:0in;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
p.MsoAcetate, li.MsoAcetate, div.MsoAcetate
	{mso-style-priority:99;
	mso-style-link:"Balloon Text Char";
	margin:0in;
	margin-bottom:.0001pt;
	font-size:8.0pt;
	font-family:"Tahoma","sans-serif";}
p.MsoNoSpacing, li.MsoNoSpacing, div.MsoNoSpacing
	{mso-style-priority:1;
	margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
p.MsoListParagraph, li.MsoListParagraph, div.MsoListParagraph
	{mso-style-priority:34;
	margin-top:0in;
	margin-right:0in;
	margin-bottom:0in;
	margin-left:.5in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
span.EmailStyle20
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
span.EmailStyle21
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.BalloonTextChar
	{mso-style-name:"Balloon Text Char";
	mso-style-priority:99;
	mso-style-link:"Balloon Text";
	font-family:"Tahoma","sans-serif";}
span.EmailStyle24
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-size:10.0pt;}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
/* List Definitions */
@list l0
	{mso-list-id:959382058;
	mso-list-type:hybrid;
	mso-list-template-ids:-1109785824 67698703 67698713 67698715 67698703 6769=
8713 67698715 67698703 67698713 67698715;}
@list l0:level1
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level2
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level3
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
@list l0:level4
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level5
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level6
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
@list l0:level7
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level8
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level9
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
ol
	{margin-bottom:0in;}
ul
	{margin-bottom:0in;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang=3D"EN-US" link=3D"blue" vlink=3D"purple">
<div class=3D"WordSection1">
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Hi Roni,<o:p></o:p></span=
></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Sure, these are easy to a=
dd-<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">thanks<o:p></o:p></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in">
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;"> Roni Eve=
n [mailto:ron.even.tlv@gmail.com]
<br>
<b>Sent:</b> Wednesday, July 18, 2012 2:56 PM<br>
<b>To:</b> Allyn Romanow (allyn); 'CLUE'<br>
<b>Subject:</b> RE: [clue] a few issues on data model draft<o:p></o:p></spa=
n></p>
</div>
</div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Hi,<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Reviewed the draft, inlin=
e for your question (BTW: not all the new attributes here are in BOLD for e=
xample captureID)<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Other comments<o:p></o:p>=
</span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<p class=3D"MsoListParagraph" style=3D"text-indent:-.25in;mso-list:l0 level=
1 lfo2"><![if !supportLists]><span style=3D"font-size:11.0pt;font-family:&q=
uot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><span style=3D"mso-=
list:Ignore">1.<span style=3D"font:7.0pt &quot;Times New Roman&quot;">&nbsp=
;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span style=3D"font-size:11.0pt;font-family:=
&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Need to add axis =
of capture to the media capture (now in the framework)<o:p></o:p></span></p=
>
<p class=3D"MsoListParagraph" style=3D"text-indent:-.25in;mso-list:l0 level=
1 lfo2"><![if !supportLists]><span style=3D"font-size:11.0pt;font-family:&q=
uot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><span style=3D"mso-=
list:Ignore">2.<span style=3D"font:7.0pt &quot;Times New Roman&quot;">&nbsp=
;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span style=3D"font-size:11.0pt;font-family:=
&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">The capture scene=
 text and language should be sets of (text, language), I think is not the c=
urrent structure<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Thanks<o:p></o:p></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Roni<o:p></o:p></span></p=
>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in">
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">
<a href=3D"mailto:clue-bounces@ietf.org">clue-bounces@ietf.org</a> <a href=
=3D"mailto:[mailto:clue-bounces@ietf.org]">
[mailto:clue-bounces@ietf.org]</a> <b>On Behalf Of </b>Allyn Romanow (allyn=
)<br>
<b>Sent:</b> 18 July, 2012 3:22 AM<br>
<b>To:</b> CLUE (<a href=3D"mailto:clue@ietf.org">clue@ietf.org</a>)<br>
<b>Subject:</b> [clue] a few issues on data model draft<o:p></o:p></span></=
p>
</div>
</div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">Folks,</span><o:p></=
o:p></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">There are several is=
sues related to the data model that we&#8217;d like us to consider. These a=
re things that are not exactly the same as in the framework, to a lesser or=
 greater extent. They were brought up during the data
 model presentation at the interim meeting. I wonder if we could work on re=
solving them?<o:p></o:p></span></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">List based on draft-=
romanow-clue-data-model-01</span><o:p></o:p></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">1.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">Any problem with=
 using media-type for capture attribute as described in the draft?<o:p></o:=
p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"color:#1F497D">RE: OK<o:p></o:=
p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">2.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">Any problem with=
 using content-type for capture attribute as described in the draft?<o:p></=
o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: I did not see any differe=
nce from the framework in which case I am OK.<o:p></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">3.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">DERIVED for capt=
ure attribute- Should we have a variable called something like DERIVED, tha=
t takes various values, one of which is composed. That would mean that if D=
ERIVED is not =3Dcomposed, that the capture is
 not composed, and if it =3Dcomposed then it is. I don&#8217;t have another=
 descriptor to propose now, but there could be others either now or later.<=
/span><o:p></o:p></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">Why this change from the framework? I think it is more general than =
composed Boolean, yet semantically similar.<o:p></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">This does not prevent us from having qualifiers to describe composed=
, to help &nbsp;distinguish between different composed captures, as has &nb=
sp;been discussed. Also, it needs to be possible to have
 multiple values for &#8220;DERIVED&#8221;, that is the values should not b=
e mutually exclusive.<o:p></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE:&nbsp; I am OK if this is =
for future extension but am not sure about the structure &nbsp;the high lev=
el derived which has Compose and future something (not sure what).
 The composed has a value (true, false) and child elements for extensions .=
 Is this the proposed structure?<o:p></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">4.&nbsp; Leave switched as a Boolean as in framework. The proposal i=
n the draft seems infeasible &#8211; we don&#8217;t want CLUE &nbsp;to have=
 to include all the ways in which products might want to implement switchin=
g.
 It would be better to make this more general, but we have no suggestion fo=
r it at present- it does not really match the meaning of a derived capture.=
<o:p></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: I think that if we have t=
he extension for composed as I outlined above we can have similar here.<o:p=
></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">5.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">As part of the c=
apture description, should we have a parameter NATIVE-ASPECT-RATIO, which i=
ndicates the aspect ratio for the capture if there is one, such as 4:3 for =
a video camera? The reason is that it can help
 rendering.<br>
<br>
Currently it is not possible to tell whether a remote video source is nativ=
ely 4:3 or 16:9, for instance. If we have this, there might usefully be a &=
quot;PREFERRED-ASPECT-RATIO&quot; in the consumer's stream selection messag=
e as part of the &nbsp;(e.g. in &quot;&lt;stream-description&gt;
 / &lt;encoding&gt;&quot;).<o:p></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: No need, first of all it =
does not work with switched capture that may have different aspect ratios. =
Also this is available in the SDP as well as a way for
 receiver to ask for specific ratio using the SDP image attribute.<o:p></o:=
p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">6.</span><span style=3D"font-size:7.0pt">&nbsp; &nbsp;</span><span s=
tyle=3D"font-family:&quot;Courier New&quot;">Multiplex ID &#8211; Value sen=
t by consumer in its stream selection message with the encoding id and capt=
ure
 id. This is the mechanism by which the consumer tells the provider which m=
ultiplex id to generate that stream with, so that the consumer can demultip=
lex the stream correctly when receiving it.
<br>
This is the link between RTP and CLUE as discussed in draft-lennox-clue-rtp=
-usage.<o:p></o:p></span></p>
<p style=3D"margin-bottom:12.0pt"><span style=3D"font-family:&quot;Courier =
New&quot;">&nbsp;&nbsp;&nbsp;&nbsp; Think should probably be re-named.<o:p>=
</o:p></span></p>
<p style=3D"margin-bottom:12.0pt"><span style=3D"font-size:11.0pt;font-fami=
ly:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">&nbsp;&nbsp;&n=
bsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: =
I do not see the need the mapping is to the capture ID which is a numeric v=
alue. See
<a href=3D"http://tools.ietf.org/html/draft-even-clue-rtp-mapping-03">http:=
//tools.ietf.org/html/draft-even-clue-rtp-mapping-03</a>
<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing">&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;<span style=3D"font-family:&quot;Courier New&quot;">7.</span><s=
pan style=3D"font-size:7.0pt;font-family:&quot;Courier New&quot;">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">AUDIO-RENDERING-=
ID &#8211; &nbsp;If the notion of an audio rendering tag is<o:p></o:p></spa=
n></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">&nbsp;&nbsp; &nbsp;&nbsp;adopted, this would be needed. It is an ID prov=
ided by the consumer to the<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">&nbsp;&nbsp;&nbsp; &nbsp;provider. The provider uses the tag to associat=
e an audio stream with a video<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">&nbsp;&nbsp;&nbsp;&nbsp;stream.<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE; su=
ggest to take this out at the moment until we agree if needed and how to ma=
p.<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">Clearly this doesn&#8217;t cover all the data model issues, but it&#8217=
;s a start.<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">Thanks,<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">Andy and Allyn<o:p></o:p></span></p>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;"><o:p>&nbsp;</o:p></span></p>
</div>
</body>
</html>

--_000_FD433719B54BFE41A70641D06F516F13040D83xmbalnx02ciscocom_--

From mary.ietf.barnes@gmail.com  Wed Jul 18 15:27:13 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 4FAE111E81C9 for <clue@ietfa.amsl.com>; Wed, 18 Jul 2012 15:27:13 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.534
X-Spam-Level: 
X-Spam-Status: No, score=-103.534 tagged_above=-999 required=5 tests=[AWL=0.064, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id hdB0Kvt3Fr1m for <clue@ietfa.amsl.com>; Wed, 18 Jul 2012 15:27:12 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id BBA2E11E81C3 for <clue@ietf.org>; Wed, 18 Jul 2012 15:27:12 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so3197522obb.31 for <clue@ietf.org>; Wed, 18 Jul 2012 15:28:04 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:date:message-id:subject:from:to:content-type; bh=9g/T+z7CO9icP2HHfQGJYOZY96xq8ftGaWXVXIV41sw=; b=ck13+0H7xjbjGODzkEYol5aZlKGcfWO+nSj7sk1YkgpcwceACBc1gm+izQ3dZEXLPe WjAjQpI3x5bnhWNvIzhzzX8zbTBoz+GAHi8V2BooroUR5xM1GN9KJdiuJk+z4J4Jf98K KGE5vobMsQdXoqtzZs9oULCvELGDJkLKiT1ADE2d/gS5Dxq9BgiJ8XbLNyFaxa5fAYfE lbcUEuEhFnB+prH5KGgNaAZtcTBqSUKHDAme/Bf+PpIagldS76syNuhcSae9+uzW/5gM /KHGOZjnhy8hhUl9+oL5T6xyVSK16aGG5j3cYgt1Tly+S/N4D3kuWNNA//esRWHCzgrt Ur9Q==
MIME-Version: 1.0
Received: by 10.60.29.38 with SMTP id g6mr3693600oeh.45.1342650483945; Wed, 18 Jul 2012 15:28:03 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Wed, 18 Jul 2012 15:28:03 -0700 (PDT)
Date: Wed, 18 Jul 2012 17:28:03 -0500
Message-ID: <CAHBDyN7ng1xtyCaULyMNnoi1vxwXsasiJiUgFcbWWyQrgiNP2w@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=e89a8fb1f8d6272f3f04c5222d39
Subject: [clue] IETF-84 Agenda
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 18 Jul 2012 22:27:13 -0000

--e89a8fb1f8d6272f3f04c5222d39
Content-Type: text/plain; charset=ISO-8859-1

I've uploaded the agenda for the CLUE WG sessions at IETF-84:
http://www.ietf.org/proceedings/84/agenda/agenda-84-dispatch

We have tried to organized things to allow room for discussion of issues
during the presentations as well as a block of time during the second
session to focus on key issues that we think we can resolve or at least
progress during that timeframe.  We'll post the issues after the WG session
on Monday.

Regards,
Mary and Paul

--e89a8fb1f8d6272f3f04c5222d39
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

I&#39;ve uploaded the agenda for the CLUE WG sessions at IETF-84:<div><a hr=
ef=3D"http://www.ietf.org/proceedings/84/agenda/agenda-84-dispatch">http://=
www.ietf.org/proceedings/84/agenda/agenda-84-dispatch</a></div><div><br></d=
iv>
<div>We have tried to organized things to allow room for discussion of issu=
es during the presentations as well as a block of time during the second se=
ssion to focus on key issues that we think we can resolve or at least progr=
ess during that timeframe. =A0We&#39;ll post the issues after the WG sessio=
n on Monday.</div>
<div><br></div><div>Regards,</div><div>Mary and Paul</div><div><br></div><d=
iv><br></div>

--e89a8fb1f8d6272f3f04c5222d39--

From allyn@cisco.com  Wed Jul 18 22:27:06 2012
Return-Path: <allyn@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 3FA5621F863D for <clue@ietfa.amsl.com>; Wed, 18 Jul 2012 22:27:06 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id M1J-XXZTygCa for <clue@ietfa.amsl.com>; Wed, 18 Jul 2012 22:27:05 -0700 (PDT)
Received: from rcdn-iport-5.cisco.com (rcdn-iport-5.cisco.com [173.37.86.76]) by ietfa.amsl.com (Postfix) with ESMTP id 33C2321F8627 for <clue@ietf.org>; Wed, 18 Jul 2012 22:27:05 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=allyn@cisco.com; l=880; q=dns/txt; s=iport; t=1342675677; x=1343885277; h=from:to:subject:date:message-id:references:in-reply-to: content-transfer-encoding:mime-version; bh=KgcCycw3XDiCkv1vqHoVJynZojfT3q7ov0umDF8Gbvg=; b=cxzFwcDBHUlRHFnqnrp5lTW2oYUkJAaEEGeJ6tSR+q+8nsFgWSfBkHVD s3PrSXcC4Tv4KUhkqZrPrf+ZoniMcr5ey3BeAn0sH9iOe+4hHMPQKHwS+ MvIUDmv+SYG9Q5baZI8U6xh53bjeJjaKDbj1wHS70fD3+c+/DUPGomqxQ c=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av8EAAhvB1CtJV2Y/2dsb2JhbABFDrkzgQeCIAEBAQQSASdLBAIBCA4DBAEBCxQJBzIUCQgCBAESCBqHa54hoCaLQIYwYAOjZ4FmgiY5
X-IronPort-AV: E=Sophos;i="4.77,613,1336348800"; d="scan'208";a="103286547"
Received: from rcdn-core-1.cisco.com ([173.37.93.152]) by rcdn-iport-5.cisco.com with ESMTP; 19 Jul 2012 05:27:57 +0000
Received: from xhc-aln-x14.cisco.com (xhc-aln-x14.cisco.com [173.36.12.88]) by rcdn-core-1.cisco.com (8.14.5/8.14.5) with ESMTP id q6J5RuLi001396 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Thu, 19 Jul 2012 05:27:56 GMT
Received: from xmb-aln-x02.cisco.com ([169.254.5.178]) by xhc-aln-x14.cisco.com ([173.36.12.88]) with mapi id 14.02.0283.003; Thu, 19 Jul 2012 00:27:56 -0500
From: "Allyn Romanow (allyn)" <allyn@cisco.com>
To: Paul Kyzivat <pkyzivat@alum.mit.edu>, CLUE <clue@ietf.org>
Thread-Topic: [clue] Revised clue call flow
Thread-Index: AQHNZDYtg6LPGjNvUUOlIbCHNpcfTZcwFc2Q
Date: Thu, 19 Jul 2012 05:27:55 +0000
Message-ID: <FD433719B54BFE41A70641D06F516F130411DA@xmb-aln-x02.cisco.com>
References: <50058D67.9010804@alum.mit.edu>
In-Reply-To: <50058D67.9010804@alum.mit.edu>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.21.112.48]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19050.003
x-tm-as-result: No--33.189900-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] Revised clue call flow
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 19 Jul 2012 05:27:06 -0000

Thanks Paul, these look really good to me-

A
-----Original Message-----
From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Pau=
l Kyzivat
Sent: Tuesday, July 17, 2012 9:06 AM
To: CLUE
Subject: [clue] Revised clue call flow

Today on call I suggested how to show the bidirectional exchange, and promi=
sed to do the slide for it.

Attached is a ppt with just two slides. I modified the original slide to sh=
ow multiple consumer choices per advertisement. Then I added an additional =
slide that shows interleaved bidirectional exchanges.

One other thing:

I wonder if it might be helpful to introduce all the speakers once at the b=
eginning, and then dispense with the cover slides for each section.=20
Just have a quiet handoff with as little disruption as possible to keep thi=
ngs running quickly and smoothly.

	Thanks,
	Paul

From ron.even.tlv@gmail.com  Thu Jul 19 01:39:20 2012
Return-Path: <ron.even.tlv@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 2CE7C21F86C4 for <clue@ietfa.amsl.com>; Thu, 19 Jul 2012 01:39:20 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.513
X-Spam-Level: 
X-Spam-Status: No, score=-3.513 tagged_above=-999 required=5 tests=[AWL=0.086,  BAYES_00=-2.599, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id yefwF7WqVEQE for <clue@ietfa.amsl.com>; Thu, 19 Jul 2012 01:39:19 -0700 (PDT)
Received: from mail-wi0-f170.google.com (mail-wi0-f170.google.com [209.85.212.170]) by ietfa.amsl.com (Postfix) with ESMTP id CA74F21F86D4 for <clue@ietf.org>; Thu, 19 Jul 2012 01:39:18 -0700 (PDT)
Received: by wibhq12 with SMTP id hq12so4809555wib.1 for <clue@ietf.org>; Thu, 19 Jul 2012 01:40:10 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=from:to:subject:date:message-id:mime-version:content-type :content-transfer-encoding:x-mailer:thread-index:content-language; bh=aLDaT6G9mqioHuhe00CMdn56ZHRTRj0R4Pq74L8lJEg=; b=fCCySwaOi/gLDd8H1/J8gDVwd/R7Z1cioLZ8LuxLw7r2pm8++/u4sL9XZ7kXAqL2li sRr4FE29rgfLqI2HCtoz2cIk2Hoh/QWtcqAv92FHoFmeFCcQq9Glqx9UlXMRkxTJ4qsm F9dtTzKKFWnFeQ1QODFvYqpyCyJpnGTsEWWpfRjlecVnbGAIJx8CSFKbvtI7DahImicA JYh+6PD5tYzcOvYboRY7yQYD6aY7d95H03RCTH8KRwuzAe3VC3zvp0KQMrDBZrG7WwxQ ktBE3d1CVvIrTcTSGkOHnwOIHbPRuRKic5DRZvPga+8q3ATxbt48HNPGiB7LrF8Ytr4b Goaw==
Received: by 10.216.232.32 with SMTP id m32mr621323weq.186.1342687210702; Thu, 19 Jul 2012 01:40:10 -0700 (PDT)
Received: from RoniE (bzq-79-176-214-12.red.bezeqint.net. [79.176.214.12]) by mx.google.com with ESMTPS id eu4sm37335030wib.2.2012.07.19.01.40.09 (version=TLSv1/SSLv3 cipher=OTHER); Thu, 19 Jul 2012 01:40:10 -0700 (PDT)
From: "Roni Even" <ron.even.tlv@gmail.com>
To: "'CLUE'" <clue@ietf.org>
Date: Thu, 19 Jul 2012 11:39:29 +0200
Message-ID: <029d01cd6592$65ce9380$316bba80$@gmail.com>
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: 7bit
X-Mailer: Microsoft Outlook 14.0
Thread-Index: Ac1lkkEVMozr4JoKQhOrq8NqzjqAZw==
Content-Language: en-us
Subject: [clue] review of draft-romanow-clue-call-flow-01.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 19 Jul 2012 08:39:20 -0000

Hi,
I reviewed the draft and think it is a good start.

 Some comments

Section 1:
1.	" The following assumptions related to UDP are being made: these are
also stated in". I think it is about SDP description and not UDP. I also do
not understand the last part "these are also stated in".
2.	First bullet "there will be at most one corresponding ..".  This
statement is not correct. We agreed that this is the preferred mode but we
also can have the case of having more than one m-line per media type.
3.	I think the second bullet is the same as the first one with the same
comment.
4.	I am not sure what you mean in the fourth bullet. I assume that by
streams you mean RTP streams. RTP by definition is uni-direction while RTCP
is bi-directional. As for other channels not carried in RTP it depends on
the definition, example is BFCP.
5.	The last sentence of the third paragraph "This is not the typical
communication model for SDP offer/answer, which is more often a
bidirectional agreement on parameter values." My understanding of SDP
parameters is that they may have direction semantics. For example the
bandwidth value in the offer is what the max value that the offerer would
like to receive while the bandwidth in the answer is what the max value the
answerer would like to receive. In general most parameters in SDP have a
direction (receive or send values) semantics. The only thing I can agree is
that CLUE may want to provide the semantics for the other direction so if in
the offer it is a receive value in CLUE advertisement we want to specify the
send value.
6.	The first sentence in the next paragraph "As specified in the CLUE
framework, parties in a Telepresence  conference do not negotiate a single
value between them." I am not clear what this sentence means or why you talk
about encoding, CLUE adds spatial information which is not the encoding but
about the semantics of the content which is not the media encoding.
7.	General comment about terminology. Using CLUE with the term media
capture encoding is confusing since encoding for media means the process of
creating the payload using an encoder.  Just use media capture without
encoding or instead of in the sentence in the above comment.
8.	I think that we should discuss in the assumption if all RTP streams
of the same type share the same codec (all H.264) and the same parameter
(for H.264 it will be profile and level). If not, I think that we should
state that we are not going to duplicate all these parameters in CLUE and
they will be specified in the Offer/answer SDP information.


Section 3
1.	On bullet three, even though I do not object to the assumption that
we will use a separate channel, I do not think that the sentence about not
using SDP based the sdp-usage draft is correct since that draft do not have
the content to prove it. Just delete the sentence in the parenthesis. 
2.	In bullet 3 I think it need to say SCTP with ordered delivery.
3.	In bullet 7 first sentence I do not like the use of "consumer" since
it is based on the offer or answer. I think that a non-controversial term
will be "user" or "endpoint"
4.	In figure 1 and all over the document (section 8) you call the non
CLUE as single-stream while CLUE is called multi-streams. I do not think
that this is the correct. A video conference call may have multi-streams
like 2 video streams, one or more audio streams and application streams
without using CLUE. The difference is that CLUE adds some CLUE semantic
description for relations between the streams. 

Other sections

1.	Section 5.2.1 talks about RTP mapping to CLUE media capture. I think
that the text is a partial approach and the correct one is as specified in
http://tools.ietf.org/html/draft-even-clue-rtp-mapping-03 which addresses
the different RTP topologies.
2.	In section 5.2.1 "For example, Alice has a 3 camera system but in
SDP  she negotiates a single RTP session for main video". The negotiation
may be for a single RTP session but with multiple RTP streams.
3.	In section 5.4 I am not sure what the proposal is. According to RFC
3264 the bandwidth value in the offer is the maximum receive value for the
offerer while the value in the answer in the maximum receive value for the
answer. The bandwidth specified at the SDP session level is the total for
all streams and the value specified at the SDP media level is for the media.
If there are multiple media they can each state a value that will cause the
total of all the media bandwidth to be higher than the SDP session level
which will limit the actual allowed bandwidth. The issue of bandwidth is
discussed in
http://tools.ietf.org/html/draft-ietf-mmusic-sdp-bundle-negotiation-00 and I
think that for bandwidth management at the session and media level we should
use SDP.
4.	In section 5.4 I missed the reference to flow control using RTCP CCM
for temporary bandwidth change.
5.	In section 7.1 talks about RTP so the following statement is not
correct  "Demultiplexing these media streams is achieved via the
urn:ietf:params:clue:demux RTP header extension negotiated in the SIP
messages." The demultiplexing is based on SSRC , what you are talking is
about mapping to media capture which can be done base on
draft-even-clue-rp-mapping. There are two terms, media demultiplexing is
SSRC or RTP session based (separate UDP ports). The other term is RTP
mapping to CLUE media captures.
6.	The examples in the appendix has <simultaneous-transmission-set />.
Is this the correct value or you just thought it is not important to have
the list of capture IDs in the example.



Roni Even


From christer.holmberg@ericsson.com  Thu Jul 19 02:00:43 2012
Return-Path: <christer.holmberg@ericsson.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 9308A21F86F8 for <clue@ietfa.amsl.com>; Thu, 19 Jul 2012 02:00:43 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.194
X-Spam-Level: 
X-Spam-Status: No, score=-6.194 tagged_above=-999 required=5 tests=[AWL=0.055,  BAYES_00=-2.599, HELO_EQ_SE=0.35, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id Sy1wcGS3VcgZ for <clue@ietfa.amsl.com>; Thu, 19 Jul 2012 02:00:42 -0700 (PDT)
Received: from mailgw1.ericsson.se (mailgw1.ericsson.se [193.180.251.45]) by ietfa.amsl.com (Postfix) with ESMTP id 8B50821F86F2 for <clue@ietf.org>; Thu, 19 Jul 2012 02:00:42 -0700 (PDT)
X-AuditID: c1b4fb2d-b7f6c6d000001cc5-04-5007cced7350
Received: from esessmw0237.eemea.ericsson.se (Unknown_Domain [153.88.253.125]) by mailgw1.ericsson.se (Symantec Mail Security) with SMTP id 15.44.07365.DECC7005; Thu, 19 Jul 2012 11:01:33 +0200 (CEST)
Received: from ESESSCMS0356.eemea.ericsson.se ([169.254.1.100]) by esessmw0237.eemea.ericsson.se ([153.88.115.90]) with mapi; Thu, 19 Jul 2012 11:01:32 +0200
From: Christer Holmberg <christer.holmberg@ericsson.com>
To: Mary Barnes <mary.ietf.barnes@gmail.com>, CLUE <clue@ietf.org>
Date: Thu, 19 Jul 2012 10:59:05 +0200
Thread-Topic: [clue] IETF-84 Agenda
Thread-Index: Ac1lNJvOkBl6hzv+RMGzFUklxXfOlgAWCRQB
Message-ID: <7F2072F1E0DE894DA4B517B93C6A05853407116846@ESESSCMS0356.eemea.ericsson.se>
References: <CAHBDyN7ng1xtyCaULyMNnoi1vxwXsasiJiUgFcbWWyQrgiNP2w@mail.gmail.com>
In-Reply-To: <CAHBDyN7ng1xtyCaULyMNnoi1vxwXsasiJiUgFcbWWyQrgiNP2w@mail.gmail.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
X-Brightmail-Tracker: H4sIAAAAAAAAA+NgFjrNLMWRmVeSWpSXmKPExsUyM+Jvre7bM+wBBv/um1vsP3WZ2eLz/v3M DkweO2fdZfdYsuQnUwBTFJdNSmpOZllqkb5dAlfGjWtL2QvWsFVs/fSEqYFxKmsXIyeHhICJ xPUznVC2mMSFe+vZuhi5OIQETjFK3LyyjwnCWcgo8fTNd5YuRg4ONgELie5/2iANIgJOEhde vmcBsVkEVCUWzfkHZgsLKEnsaVjGDlGjLHFpxXQmCNtIoudsP9gYXoFwidmbFEDCQgIBEk07 joPdwCkQKHF0y39GEJsR6J7vp9aAtTILiEvcejKfCeJOAYkle84zQ9iiEi8f/2OFqBeVuNO+ nhGiXkdiwe5PbBC2tsSyha/B6nkFBCVOznzCMoFRdBaSsbOQtMxC0jILScsCRpZVjMK5iZk5 6eWGeqlFmcnFxfl5esWpmxiBEXJwy2/dHYynzokcYpTmYFES5+VK2u8vJJCeWJKanZpakFoU X1Sak1p8iJGJg1OqgVGNw1xa5/fcucoPUvgy5TOMDr2QFf27mIvP57ihxbHNpb5XeVtZD7er CYkqprkve6w4wSLN7pnkc0PO69xXn2pXd91r+cj6M/bgTFF3zVDe6uu/HF7sqzXbOJ1xhZle hdyfc+KCi07+LX/Mp6Wgf+Fj763nFzr3O3z6pGWvm6hzoy23Qfi5ihJLcUaioRZzUXEiADDs FeReAgAA
Subject: Re: [clue] IETF-84 Agenda
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 19 Jul 2012 09:00:43 -0000

Hi Mary,

In the Link, I assume 'dispatch' shall be replaced with 'clue'? :)

Regards,

Christer
________________________________________
From: clue-bounces@ietf.org [clue-bounces@ietf.org] On Behalf Of Mary Barne=
s [mary.ietf.barnes@gmail.com]
Sent: Thursday, July 19, 2012 1:28 AM
To: CLUE
Subject: [clue] IETF-84 Agenda

I've uploaded the agenda for the CLUE WG sessions at IETF-84:
http://www.ietf.org/proceedings/84/agenda/agenda-84-dispatch

We have tried to organized things to allow room for discussion of issues du=
ring the presentations as well as a block of time during the second session=
 to focus on key issues that we think we can resolve or at least progress d=
uring that timeframe.  We'll post the issues after the WG session on Monday=
.

Regards,
Mary and Paul



From mary.ietf.barnes@gmail.com  Thu Jul 19 07:11:43 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 7E40421F8738 for <clue@ietfa.amsl.com>; Thu, 19 Jul 2012 07:11:43 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.535
X-Spam-Level: 
X-Spam-Status: No, score=-103.535 tagged_above=-999 required=5 tests=[AWL=0.063, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id nKC+52nJfIAb for <clue@ietfa.amsl.com>; Thu, 19 Jul 2012 07:11:43 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id D8DA621F8732 for <clue@ietf.org>; Thu, 19 Jul 2012 07:11:42 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so4431292obb.31 for <clue@ietf.org>; Thu, 19 Jul 2012 07:12:36 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=Bb9xeCAOoARlxu8mIae8wWN0AyCuF29M4UutGU6/ax8=; b=DqOvtdCRYNoyyu3Z9KbP/clV0BMUHenR442XlR0S46a3YzR5xI7H8h8sPIUUNGXTcZ ypyeaeL4zaAAeNPCQtbW7VzWAQw3n7kpxqW6xBVwPdMhmArUsp77pvguI8TeHEhmpmwN ZlYLEzTX4GkRQX/ZuwcQ6i5SEGaKItBzaVrW8n874WaALHiPpJwStiFyYhGheztBKllY CFD1FRGv48oclRVfluaB+Ml/qYB1cwpCCfJ8AJRNXHd6m2/jsoYfT8YJilIjJzxRcyfU w9WsAbeLHydpFm8BG472c5BdMluM5RCmdavnKKbysF9M1dnOIMcgb+tNGzok1Zus2we0 smtA==
MIME-Version: 1.0
Received: by 10.182.212.98 with SMTP id nj2mr2988644obc.18.1342707155929; Thu, 19 Jul 2012 07:12:35 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Thu, 19 Jul 2012 07:12:35 -0700 (PDT)
In-Reply-To: <7F2072F1E0DE894DA4B517B93C6A05853407116846@ESESSCMS0356.eemea.ericsson.se>
References: <CAHBDyN7ng1xtyCaULyMNnoi1vxwXsasiJiUgFcbWWyQrgiNP2w@mail.gmail.com> <7F2072F1E0DE894DA4B517B93C6A05853407116846@ESESSCMS0356.eemea.ericsson.se>
Date: Thu, 19 Jul 2012 09:12:35 -0500
Message-ID: <CAHBDyN42OZOm0vy8emXyBymcE-NuoZJmF6EtsFwO=ZZaAtfBmQ@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: Christer Holmberg <christer.holmberg@ericsson.com>
Content-Type: multipart/alternative; boundary=e89a8f642904110ad004c52f5f1c
Cc: CLUE <clue@ietf.org>
Subject: Re: [clue] IETF-84 Agenda
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 19 Jul 2012 14:11:43 -0000

--e89a8f642904110ad004c52f5f1c
Content-Type: text/plain; charset=ISO-8859-1

Yeah - that is so bizarre. That is not the agenda I uploaded for Dispatch
and I could have sworn that I copied the link for the CLUE agenda.  It was
odd though because the link did not show up in the agenda. So, I went to
where I uploaded it to get the link.

Anyways, here's the link (maybe):
http://www.ietf.org/proceedings/84/agenda/agenda-84-clue

On Thu, Jul 19, 2012 at 3:59 AM, Christer Holmberg <
christer.holmberg@ericsson.com> wrote:

> Hi Mary,
>
> In the Link, I assume 'dispatch' shall be replaced with 'clue'? :)
>
> Regards,
>
> Christer
> ________________________________________
> From: clue-bounces@ietf.org [clue-bounces@ietf.org] On Behalf Of Mary
> Barnes [mary.ietf.barnes@gmail.com]
> Sent: Thursday, July 19, 2012 1:28 AM
> To: CLUE
> Subject: [clue] IETF-84 Agenda
>
> I've uploaded the agenda for the CLUE WG sessions at IETF-84:
> http://www.ietf.org/proceedings/84/agenda/agenda-84-dispatch
>
> We have tried to organized things to allow room for discussion of issues
> during the presentations as well as a block of time during the second
> session to focus on key issues that we think we can resolve or at least
> progress during that timeframe.  We'll post the issues after the WG session
> on Monday.
>
> Regards,
> Mary and Paul
>
>
>

--e89a8f642904110ad004c52f5f1c
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

Yeah - that is so bizarre. That is not the agenda I uploaded for Dispatch a=
nd I could have sworn that I copied the link for the CLUE agenda. =A0It was=
 odd though because the link did not show up in the agenda. So, I went to w=
here I uploaded it to get the link.<div>

<br></div><div>Anyways, here&#39;s the link (maybe): =A0<a href=3D"http://w=
ww.ietf.org/proceedings/84/agenda/agenda-84-clue">http://www.ietf.org/proce=
edings/84/agenda/agenda-84-clue</a></div><div><br><div class=3D"gmail_quote=
">
On Thu, Jul 19, 2012 at 3:59 AM, Christer Holmberg <span dir=3D"ltr">&lt;<a=
 href=3D"mailto:christer.holmberg@ericsson.com" target=3D"_blank">christer.=
holmberg@ericsson.com</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">Hi Mary,<br>
<br>
In the Link, I assume &#39;dispatch&#39; shall be replaced with &#39;clue&#=
39;? :)<br>
<br>
Regards,<br>
<br>
Christer<br>
________________________________________<br>
From: <a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank">clue-bounc=
es@ietf.org</a> [<a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank"=
>clue-bounces@ietf.org</a>] On Behalf Of Mary Barnes [<a href=3D"mailto:mar=
y.ietf.barnes@gmail.com" target=3D"_blank">mary.ietf.barnes@gmail.com</a>]<=
br>


Sent: Thursday, July 19, 2012 1:28 AM<br>
To: CLUE<br>
Subject: [clue] IETF-84 Agenda<br>
<div><div><br>
I&#39;ve uploaded the agenda for the CLUE WG sessions at IETF-84:<br>
<a href=3D"http://www.ietf.org/proceedings/84/agenda/agenda-84-dispatch" ta=
rget=3D"_blank">http://www.ietf.org/proceedings/84/agenda/agenda-84-dispatc=
h</a><br>
<br>
We have tried to organized things to allow room for discussion of issues du=
ring the presentations as well as a block of time during the second session=
 to focus on key issues that we think we can resolve or at least progress d=
uring that timeframe. =A0We&#39;ll post the issues after the WG session on =
Monday.<br>


<br>
Regards,<br>
Mary and Paul<br>
<br>
<br>
</div></div></blockquote></div><br></div>

--e89a8f642904110ad004c52f5f1c--

From mary.ietf.barnes@gmail.com  Thu Jul 19 07:22:36 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 75E9421F87B0 for <clue@ietfa.amsl.com>; Thu, 19 Jul 2012 07:22:35 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -104.536
X-Spam-Level: 
X-Spam-Status: No, score=-104.536 tagged_above=-999 required=5 tests=[AWL=1.062, BAYES_00=-2.599, GB_I_INVITATION=-2, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id Ro3vPgUjLiCD for <clue@ietfa.amsl.com>; Thu, 19 Jul 2012 07:22:34 -0700 (PDT)
Received: from mail-gg0-f172.google.com (mail-gg0-f172.google.com [209.85.161.172]) by ietfa.amsl.com (Postfix) with ESMTP id 1606421F8718 for <clue@ietf.org>; Thu, 19 Jul 2012 07:22:33 -0700 (PDT)
Received: by ggnc4 with SMTP id c4so3105230ggn.31 for <clue@ietf.org>; Thu, 19 Jul 2012 07:23:27 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:date:message-id:subject:from:to:cc:content-type; bh=K/DEshlExlZ4KlJS9pXG4RlbKrBxX6k3O0y7ytzN+Uw=; b=FR6Wws6ko0uvQrXPQqth3izGelLkKdPGJK32HGBhIMQxn8j2qhGrhVsvHdil/YXPG2 TnYfO0N4+34DaBp4ENSECQ/3YJH7Sg5Q/s3hqCyZiT30QK6bdGP11fy/KWgjwpwi9u+0 YTD6cZtfztFBO8MUiohW92CL+nQpvAiPkkG2OZ35CJvgjwQfMyQZ1bQ9T9Z3qkCC3YmP BK57T4yHJenG1c8iT8jC7ek6pRrH9wRWAA0gr+AwMhR1wrd58XTNHbO2/lUeiwUcz8i0 TcHtghkFOMDHknskwlNj4doM3LhicXH8hxYPtBIt31DvSDrZ8etwxUG+Prj07PRu7N5n iAlg==
MIME-Version: 1.0
Received: by 10.60.3.202 with SMTP id e10mr3000653oee.52.1342707806959; Thu, 19 Jul 2012 07:23:26 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Thu, 19 Jul 2012 07:23:26 -0700 (PDT)
Date: Thu, 19 Jul 2012 09:23:26 -0500
Message-ID: <CAHBDyN71xYA5NkywCpnXb09qA8xArZ+3zi_HU-4Un-tKBqwD2Q@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=e89a8ff1ce4cdef8ba04c52f8575
Subject: [clue] Meeting invitation: CLUE WG - tutorial prep on Friday, July 20, 10am Central
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 19 Jul 2012 14:22:37 -0000

--e89a8ff1ce4cdef8ba04c52f8575
Content-Type: text/plain; charset=ISO-8859-1

Hello ,

Here's the details for the tutorial prep call that we discussed on Tuesday
- this was the only time where we could get everyone.  If folks could
please have updates to charts  to me no later than 8am Central tomorrow,
that would be most helpful.  Or let me know if you want me to make updates
based on meeting discussion or send you the updated charts so you can make
more updates.

Topic: CLUE WG - tutorial prep
Date: Friday, July 20, 2012
Time: 10:00 am, Central Daylight Time (Chicago, GMT-05:00)
Meeting Number: 645 637 139
Meeting Password: 1234


-------------------------------------------------------
To join the online meeting (Now from mobile devices!)
-------------------------------------------------------
1. Go to
https://ietf.webex.com/ietf/j.php?ED=156730632&UID=0&PW=NMzJlYWE1NWI0&RT=MiM3
2. If requested, enter your name and email address.
3. If a password is required, enter the meeting password: 1234
4. Click "Join".

To view in other time zones or languages, please click the link:
https://ietf.webex.com/ietf/j.php?ED=156730632&UID=0&PW=NMzJlYWE1NWI0&ORT=MiM3

-------------------------------------------------------
To join the audio conference only
-------------------------------------------------------
Call-in toll number (US/Canada): +1-408-600-3600

Access code:645 637 139

-------------------------------------------------------
For assistance
-------------------------------------------------------
1. Go to https://ietf.webex.com/ietf/mc
2. On the left navigation bar, click "Support".

You can contact me at:
clue-chairs@tools.ietf.org<mailto:clue-chairs@tools.ietf.org>


To add this meeting to your calendar program (for example Microsoft
Outlook), click this link:
https://ietf.webex.com/ietf/j.php?ED=156730632&UID=0&ICS=MI&LD=1&RD=2&ST=1&SHA2=HwquahZaXLBXs2WS/-/t0C4CJjOjgZnoju9jNXojfG8=&RT=MiM3

The playback of UCF (Universal Communications Format) rich media files
requires appropriate players. To view this type of rich media files in the
meeting, please check whether you have the players installed on your
computer by going to https://ietf.webex.com/ietf/systemdiagnosis.php.

Sign up for a free trial of WebEx
http://www.webex.com/go/mcemfreetrial

http://www.webex.com

CCP:+14086003600x645637139#

IMPORTANT NOTICE: This WebEx service includes a feature that allows audio
and any documents and other materials exchanged or viewed during the
session to be recorded. By joining this session, you automatically consent
to such recordings. If you do not consent to the recording, discuss your
concerns with the meeting host prior to the start of the recording or do
not join the session. Please note that any such recordings may be subject
to discovery in the event of litigation.

--e89a8ff1ce4cdef8ba04c52f8575
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

<div class=3D"gmail_quote">Hello ,<br>
<br>
Here&#39;s the details for the tutorial prep call that we discussed on Tues=
day - this was the only time where we could get everyone. =A0If folks could=
 please have updates to charts =A0to me no later than 8am Central tomorrow,=
 that would be most helpful. =A0Or let me know if you want me to make updat=
es based on meeting discussion or send you the updated charts so you can ma=
ke more updates.</div>
<div class=3D"gmail_quote"><br></div><div class=3D"gmail_quote">
Topic: CLUE WG - tutorial prep<br>
Date: Friday, July 20, 2012<br>
Time: 10:00 am, Central Daylight Time (Chicago, GMT-05:00)<br>
Meeting Number: 645 637 139<br>
Meeting Password: 1234<br>
<br>
<br>
-------------------------------------------------------<br>
To join the online meeting (Now from mobile devices!)<br>
-------------------------------------------------------<br>
1. Go to <a href=3D"https://ietf.webex.com/ietf/j.php?ED=3D156730632&amp;UI=
D=3D0&amp;PW=3DNMzJlYWE1NWI0&amp;RT=3DMiM3" target=3D"_blank">https://ietf.=
webex.com/ietf/j.php?ED=3D156730632&amp;UID=3D0&amp;PW=3DNMzJlYWE1NWI0&amp;=
RT=3DMiM3</a><br>

2. If requested, enter your name and email address.<br>
3. If a password is required, enter the meeting password: 1234<br>
4. Click &quot;Join&quot;.<br>
<br>
To view in other time zones or languages, please click the link:<br>
<a href=3D"https://ietf.webex.com/ietf/j.php?ED=3D156730632&amp;UID=3D0&amp=
;PW=3DNMzJlYWE1NWI0&amp;ORT=3DMiM3" target=3D"_blank">https://ietf.webex.co=
m/ietf/j.php?ED=3D156730632&amp;UID=3D0&amp;PW=3DNMzJlYWE1NWI0&amp;ORT=3DMi=
M3</a><br>
<br>
-------------------------------------------------------<br>
To join the audio conference only<br>
-------------------------------------------------------<br>
Call-in toll number (US/Canada): <a href=3D"tel:%2B1-408-600-3600" value=3D=
"+14086003600">+1-408-600-3600</a><br>
<br>
Access code:645 637 139<br>
<br>
-------------------------------------------------------<br>
For assistance<br>
-------------------------------------------------------<br>
1. Go to <a href=3D"https://ietf.webex.com/ietf/mc" target=3D"_blank">https=
://ietf.webex.com/ietf/mc</a><br>
2. On the left navigation bar, click &quot;Support&quot;.<br>
<br>
You can contact me at:<br>
<a href=3D"mailto:clue-chairs@tools.ietf.org">clue-chairs@tools.ietf.org</a=
>&lt;mailto:<a href=3D"mailto:clue-chairs@tools.ietf.org">clue-chairs@tools=
.ietf.org</a>&gt;<br>
<br>
<br>
To add this meeting to your calendar program (for example Microsoft Outlook=
), click this link:<br>
<a href=3D"https://ietf.webex.com/ietf/j.php?ED=3D156730632&amp;UID=3D0&amp=
;ICS=3DMI&amp;LD=3D1&amp;RD=3D2&amp;ST=3D1&amp;SHA2=3DHwquahZaXLBXs2WS/-/t0=
C4CJjOjgZnoju9jNXojfG8=3D&amp;RT=3DMiM3" target=3D"_blank">https://ietf.web=
ex.com/ietf/j.php?ED=3D156730632&amp;UID=3D0&amp;ICS=3DMI&amp;LD=3D1&amp;RD=
=3D2&amp;ST=3D1&amp;SHA2=3DHwquahZaXLBXs2WS/-/t0C4CJjOjgZnoju9jNXojfG8=3D&a=
mp;RT=3DMiM3</a><br>

<br>
The playback of UCF (Universal Communications Format) rich media files requ=
ires appropriate players. To view this type of rich media files in the meet=
ing, please check whether you have the players installed on your computer b=
y going to <a href=3D"https://ietf.webex.com/ietf/systemdiagnosis.php" targ=
et=3D"_blank">https://ietf.webex.com/ietf/systemdiagnosis.php</a>.<br>

<br>
Sign up for a free trial of WebEx<br>
<a href=3D"http://www.webex.com/go/mcemfreetrial" target=3D"_blank">http://=
www.webex.com/go/mcemfreetrial</a><br>
<br>
<a href=3D"http://www.webex.com" target=3D"_blank">http://www.webex.com</a>=
<br>
<br>
CCP:+14086003600x645637139#<br>
<br>
IMPORTANT NOTICE: This WebEx service includes a feature that allows audio a=
nd any documents and other materials exchanged or viewed during the session=
 to be recorded. By joining this session, you automatically consent to such=
 recordings. If you do not consent to the recording, discuss your concerns =
with the meeting host prior to the start of the recording or do not join th=
e session. Please note that any such recordings may be subject to discovery=
 in the event of litigation.<br>

</div><br>

--e89a8ff1ce4cdef8ba04c52f8575--

From mary.ietf.barnes@gmail.com  Thu Jul 19 07:42:11 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 816A421F86CA for <clue@ietfa.amsl.com>; Thu, 19 Jul 2012 07:42:11 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.554
X-Spam-Level: 
X-Spam-Status: No, score=-103.554 tagged_above=-999 required=5 tests=[AWL=0.044, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id VulFAMpNW-bT for <clue@ietfa.amsl.com>; Thu, 19 Jul 2012 07:42:10 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id 40DF321F8587 for <clue@ietf.org>; Thu, 19 Jul 2012 07:42:10 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so4467025obb.31 for <clue@ietf.org>; Thu, 19 Jul 2012 07:43:03 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=e5M+EMi5dfA04xzBEvC6yCA+Ls91Q7+hq/id1zS1Kh4=; b=vsIiTqPkmq7QQ2oa/cEumMKV8SK38XTU15zck3Nk1bYSxkooOCRXAEgVRRlKFsYSJg dVxhK2G4vd/aVy/Bjqyetr6xtyYBq2qyGkJQYbx9sJZHnSBqarVgs/L8g5djlgRSEbDc VeFTR20JNmicsyEwy1uzZ0Afu8n3/Zh+BA6ia9phC2D/zB0uCAoVeyAzaZToqmcSHTbv VnoMVpuXh0dFaGDYX+DQC2MDMNXw7v6R/NI4iGFzNlc+5M8DQV7CRJqfs6RCEtAyXWsG iY+vPhgBVBzsqKr58OAIAr6oQiSc4BDIDXaPyY8qyeHeze0gEAIt40Qwx9kGi6Y3Xd1F vYeA==
MIME-Version: 1.0
Received: by 10.182.145.8 with SMTP id sq8mr3073883obb.50.1342708983310; Thu, 19 Jul 2012 07:43:03 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Thu, 19 Jul 2012 07:43:03 -0700 (PDT)
In-Reply-To: <CAHBDyN42OZOm0vy8emXyBymcE-NuoZJmF6EtsFwO=ZZaAtfBmQ@mail.gmail.com>
References: <CAHBDyN7ng1xtyCaULyMNnoi1vxwXsasiJiUgFcbWWyQrgiNP2w@mail.gmail.com> <7F2072F1E0DE894DA4B517B93C6A05853407116846@ESESSCMS0356.eemea.ericsson.se> <CAHBDyN42OZOm0vy8emXyBymcE-NuoZJmF6EtsFwO=ZZaAtfBmQ@mail.gmail.com>
Date: Thu, 19 Jul 2012 09:43:03 -0500
Message-ID: <CAHBDyN4RKGp9r+CsG2gb9C+F7mVdYhzzkZ0rFwFC-NrUtMeLWQ@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: Christer Holmberg <christer.holmberg@ericsson.com>
Content-Type: multipart/alternative; boundary=f46d044786c3fca83b04c52fcb65
Cc: CLUE <clue@ietf.org>
Subject: Re: [clue] IETF-84 Agenda
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 19 Jul 2012 14:42:11 -0000

--f46d044786c3fca83b04c52fcb65
Content-Type: text/plain; charset=ISO-8859-1

I figured out what I did.  That actually was the CLUE agenda for a short
period of time until Cullen saw that I had inadvertently uploaded the CLUE
agenda as the DISPATCH agenda.  I will be shortly uploading a revision to
the CLUE agenda as the one I uploaded to DISPATCH was the one that I
intended to be the final proposed CLUE agenda.

Thanks for pointing this out.

Mary.

On Thu, Jul 19, 2012 at 9:12 AM, Mary Barnes <mary.ietf.barnes@gmail.com>wrote:

> Yeah - that is so bizarre. That is not the agenda I uploaded for Dispatch
> and I could have sworn that I copied the link for the CLUE agenda.  It was
> odd though because the link did not show up in the agenda. So, I went to
> where I uploaded it to get the link.
>
> Anyways, here's the link (maybe):
> http://www.ietf.org/proceedings/84/agenda/agenda-84-clue
>
> On Thu, Jul 19, 2012 at 3:59 AM, Christer Holmberg <
> christer.holmberg@ericsson.com> wrote:
>
>> Hi Mary,
>>
>> In the Link, I assume 'dispatch' shall be replaced with 'clue'? :)
>>
>> Regards,
>>
>> Christer
>> ________________________________________
>> From: clue-bounces@ietf.org [clue-bounces@ietf.org] On Behalf Of Mary
>> Barnes [mary.ietf.barnes@gmail.com]
>> Sent: Thursday, July 19, 2012 1:28 AM
>> To: CLUE
>> Subject: [clue] IETF-84 Agenda
>>
>> I've uploaded the agenda for the CLUE WG sessions at IETF-84:
>> http://www.ietf.org/proceedings/84/agenda/agenda-84-dispatch
>>
>> We have tried to organized things to allow room for discussion of issues
>> during the presentations as well as a block of time during the second
>> session to focus on key issues that we think we can resolve or at least
>> progress during that timeframe.  We'll post the issues after the WG session
>> on Monday.
>>
>> Regards,
>> Mary and Paul
>>
>>
>>
>

--f46d044786c3fca83b04c52fcb65
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

I figured out what I did. =A0That actually was the CLUE agenda for a short =
period of time until Cullen saw that I had inadvertently uploaded the CLUE =
agenda as the DISPATCH agenda. =A0I will be shortly uploading a revision to=
 the CLUE agenda as the one I uploaded to DISPATCH was the one that I inten=
ded to be the final proposed CLUE agenda.<div>
<br></div><div>Thanks for pointing this out.</div><div><br></div><div>Mary.=
=A0<br><br><div class=3D"gmail_quote">On Thu, Jul 19, 2012 at 9:12 AM, Mary=
 Barnes <span dir=3D"ltr">&lt;<a href=3D"mailto:mary.ietf.barnes@gmail.com"=
 target=3D"_blank">mary.ietf.barnes@gmail.com</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">Yeah - that is so bizarre. That is not the a=
genda I uploaded for Dispatch and I could have sworn that I copied the link=
 for the CLUE agenda. =A0It was odd though because the link did not show up=
 in the agenda. So, I went to where I uploaded it to get the link.<div>


<br></div><div>Anyways, here&#39;s the link (maybe): =A0<a href=3D"http://w=
ww.ietf.org/proceedings/84/agenda/agenda-84-clue" target=3D"_blank">http://=
www.ietf.org/proceedings/84/agenda/agenda-84-clue</a></div><div class=3D"HO=
EnZb">
<div class=3D"h5"><div><br><div class=3D"gmail_quote">
On Thu, Jul 19, 2012 at 3:59 AM, Christer Holmberg <span dir=3D"ltr">&lt;<a=
 href=3D"mailto:christer.holmberg@ericsson.com" target=3D"_blank">christer.=
holmberg@ericsson.com</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">Hi Mary,<br>
<br>
In the Link, I assume &#39;dispatch&#39; shall be replaced with &#39;clue&#=
39;? :)<br>
<br>
Regards,<br>
<br>
Christer<br>
________________________________________<br>
From: <a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank">clue-bounc=
es@ietf.org</a> [<a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank"=
>clue-bounces@ietf.org</a>] On Behalf Of Mary Barnes [<a href=3D"mailto:mar=
y.ietf.barnes@gmail.com" target=3D"_blank">mary.ietf.barnes@gmail.com</a>]<=
br>



Sent: Thursday, July 19, 2012 1:28 AM<br>
To: CLUE<br>
Subject: [clue] IETF-84 Agenda<br>
<div><div><br>
I&#39;ve uploaded the agenda for the CLUE WG sessions at IETF-84:<br>
<a href=3D"http://www.ietf.org/proceedings/84/agenda/agenda-84-dispatch" ta=
rget=3D"_blank">http://www.ietf.org/proceedings/84/agenda/agenda-84-dispatc=
h</a><br>
<br>
We have tried to organized things to allow room for discussion of issues du=
ring the presentations as well as a block of time during the second session=
 to focus on key issues that we think we can resolve or at least progress d=
uring that timeframe. =A0We&#39;ll post the issues after the WG session on =
Monday.<br>



<br>
Regards,<br>
Mary and Paul<br>
<br>
<br>
</div></div></blockquote></div><br></div>
</div></div></blockquote></div><br></div>

--f46d044786c3fca83b04c52fcb65--

From mary.ietf.barnes@gmail.com  Thu Jul 19 13:44:10 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id ABA7621F8646 for <clue@ietfa.amsl.com>; Thu, 19 Jul 2012 13:44:10 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.554
X-Spam-Level: 
X-Spam-Status: No, score=-103.554 tagged_above=-999 required=5 tests=[AWL=0.044, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id sOiD3p7t3QVL for <clue@ietfa.amsl.com>; Thu, 19 Jul 2012 13:44:09 -0700 (PDT)
Received: from mail-qc0-f172.google.com (mail-qc0-f172.google.com [209.85.216.172]) by ietfa.amsl.com (Postfix) with ESMTP id 23C9521F84E6 for <clue@ietf.org>; Thu, 19 Jul 2012 13:44:08 -0700 (PDT)
Received: by qcac10 with SMTP id c10so2173624qca.31 for <clue@ietf.org>; Thu, 19 Jul 2012 13:44:57 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:date:message-id:subject:from:to:content-type; bh=XuqGRfcYRpr+s0PFM2kY1HPSc8+aoV6T3aX3AMvwnFA=; b=AcV9SffyTGgMgR+FVOU+PLKPqWjEYfREcwCSwIvJ0oPp2pCxqk6WyVQwoMymScC+/6 Aw/N5EQvyjUds7HDgJGB+mNtqHbldtrocy4hmuo5wKCyGJFxCwI639ub1lTx6q4V10ND U24q8TLWeExTmoMrsvU9LcEuIuBiBdd3AbKBYl4TLEJ0jEv7dbcmGxNAGaEYk0SGZXaP jaxoH1m2CoNmKPqZc1U2W7Cvjkgb61JN9kT6fUn61UBzdBLO0GhyXcgRTDsLbenbe6r2 D2BfuuehkdH1pZ2NmdqbbUwylNh02UkxL/VG9qLyVtVurSHyueLZtzy1pozTPHCISHaI c8Qg==
MIME-Version: 1.0
Received: by 10.182.75.100 with SMTP id b4mr4274346obw.12.1342730697234; Thu, 19 Jul 2012 13:44:57 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Thu, 19 Jul 2012 13:44:57 -0700 (PDT)
Date: Thu, 19 Jul 2012 15:44:57 -0500
Message-ID: <CAHBDyN4ad8KDcLWib87xLfveSXOuawdm6QHff=yvgHWkpDvM1w@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=14dae93996ed3cda3204c534da08
Subject: [clue] Deadline for presentations: IETF-84 Agenda
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 19 Jul 2012 20:44:10 -0000

--14dae93996ed3cda3204c534da08
Content-Type: text/plain; charset=ISO-8859-1

Now that I have the agenda straightened out, we would like to request the
presentations to be sent to the chairs no later than 5pm Pacific on Friday,
July 27th.  This is extremely important since the WG session is first thing
Monday morning and everyone will be either in meetings or traveling over
the weekend.

Thanks,
Mary.

On Wed, Jul 18, 2012 at 5:28 PM, Mary Barnes <mary.ietf.barnes@gmail.com>wrote:

> I've uploaded the agenda for the CLUE WG sessions at IETF-84:
> http://www.ietf.org/proceedings/84/agenda/agenda-84-clue
>
> We have tried to organized things to allow room for discussion of issues
> during the presentations as well as a block of time during the second
> session to focus on key issues that we think we can resolve or at least
> progress during that timeframe.  We'll post the issues after the WG session
> on Monday.
>
> Regards,
> Mary and Paul
>
>
>

--14dae93996ed3cda3204c534da08
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

Now that I have the agenda straightened out, we would like to request the p=
resentations to be sent to the chairs no later than 5pm Pacific on Friday, =
July 27th. =A0This is extremely important since the WG session is first thi=
ng Monday morning and everyone will be either in meetings or traveling over=
 the weekend.=A0<div>
<br></div><div>Thanks,</div><div>Mary.=A0<br><br><div class=3D"gmail_quote"=
>On Wed, Jul 18, 2012 at 5:28 PM, Mary Barnes <span dir=3D"ltr">&lt;<a href=
=3D"mailto:mary.ietf.barnes@gmail.com" target=3D"_blank">mary.ietf.barnes@g=
mail.com</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">I&#39;ve uploaded the agenda for the CLUE WG=
 sessions at IETF-84:<div><a href=3D"http://www.ietf.org/proceedings/84/age=
nda/agenda-84-clue" target=3D"_blank">http://www.ietf.org/proceedings/84/ag=
enda/agenda-84-clue</a></div>
<div><br></div>
<div>We have tried to organized things to allow room for discussion of issu=
es during the presentations as well as a block of time during the second se=
ssion to focus on key issues that we think we can resolve or at least progr=
ess during that timeframe. =A0We&#39;ll post the issues after the WG sessio=
n on Monday.</div>

<div><br></div><div>Regards,</div><div>Mary and Paul</div><div><br></div><d=
iv><br></div>
</blockquote></div><br></div>

--14dae93996ed3cda3204c534da08--

From mary.ietf.barnes@gmail.com  Fri Jul 20 07:33:25 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id B5DDB21F849C for <clue@ietfa.amsl.com>; Fri, 20 Jul 2012 07:33:25 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -104.555
X-Spam-Level: 
X-Spam-Status: No, score=-104.555 tagged_above=-999 required=5 tests=[AWL=1.043, BAYES_00=-2.599, GB_I_INVITATION=-2, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id A19LAff-8k2I for <clue@ietfa.amsl.com>; Fri, 20 Jul 2012 07:33:24 -0700 (PDT)
Received: from mail-ob0-f172.google.com (mail-ob0-f172.google.com [209.85.214.172]) by ietfa.amsl.com (Postfix) with ESMTP id E88F021F84C9 for <clue@ietf.org>; Fri, 20 Jul 2012 07:33:23 -0700 (PDT)
Received: by obbwc20 with SMTP id wc20so5828341obb.31 for <clue@ietf.org>; Fri, 20 Jul 2012 07:34:18 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=czu9gzsaquebydjS6i+wPFM5SlzpYqTwFBf4BVB/CXM=; b=M7nk0Um1SeSttoEW1/J5SZ8oSS8deZ2iPuKj440Zdlt/ided2c5yPRT+OcnL7LsS5Q TJASa0vBh/4/VNZJ8KRAFT+tIdotRQDz7/v1KyHPSsOnmjYdjGOKli1CQ4jk7/50HzDw c4y9C6DUIbqGohGFXkfvWnWx9kDyulLC7u+neeU0kC41BiuTU1gAbF9nC2DAHVSbDEQq kg+hbReQ70FLLzH9HEOgX9bTIOUoWWxpiIwaaQUcesceJiNJLpvp8yP8ZCP9oNQIFnYm TFRwUuvgUaf1PhUni3JWZ3N0vaRFcbTtynDnVse70evyx9MO2u6He4Kfr54i5Ql6ejTq /MnQ==
MIME-Version: 1.0
Received: by 10.182.72.9 with SMTP id z9mr7567072obu.5.1342794858024; Fri, 20 Jul 2012 07:34:18 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Fri, 20 Jul 2012 07:34:18 -0700 (PDT)
In-Reply-To: <CAHBDyN71xYA5NkywCpnXb09qA8xArZ+3zi_HU-4Un-tKBqwD2Q@mail.gmail.com>
References: <CAHBDyN71xYA5NkywCpnXb09qA8xArZ+3zi_HU-4Un-tKBqwD2Q@mail.gmail.com>
Date: Fri, 20 Jul 2012 09:34:18 -0500
Message-ID: <CAHBDyN5W2RN=FL576KhDAvcb8dXOOf_1d749bJesLn4hKD3BuQ@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=f46d04462fbc84d0d904c543ca0f
Subject: Re: [clue] Meeting invitation: CLUE WG - tutorial prep on Friday, July 20, 10am Central
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 20 Jul 2012 14:33:25 -0000

--f46d04462fbc84d0d904c543ca0f
Content-Type: text/plain; charset=ISO-8859-1

I have uploaded the revised chart package to the proceedings:
https://pub.ietf.org/proceedings/84/clue/

Note that I moved the CLUE intro part to right after the Overview of
Telepresence as I added a statement on motivation.

I'm also wondering if we shouldn't add pictures to the use cases.  In
looking at past materials for CLUE when it was discussed in DISPATCH, the
use cases were presented entirely as diagrams:
https://pub.ietf.org/proceedings/84/clue/
Thus, it would seem we could have the pictures with accompanying notes that
match the current text (i.e., the current text is what is stated as the
picture is presented).

Mary.


On Thu, Jul 19, 2012 at 9:23 AM, Mary Barnes <mary.ietf.barnes@gmail.com>wrote:

> Hello ,
>
> Here's the details for the tutorial prep call that we discussed on Tuesday
> - this was the only time where we could get everyone.  If folks could
> please have updates to charts  to me no later than 8am Central tomorrow,
> that would be most helpful.  Or let me know if you want me to make updates
> based on meeting discussion or send you the updated charts so you can make
> more updates.
>
> Topic: CLUE WG - tutorial prep
> Date: Friday, July 20, 2012
> Time: 10:00 am, Central Daylight Time (Chicago, GMT-05:00)
> Meeting Number: 645 637 139
> Meeting Password: 1234
>
>
> -------------------------------------------------------
> To join the online meeting (Now from mobile devices!)
> -------------------------------------------------------
> 1. Go to
> https://ietf.webex.com/ietf/j.php?ED=156730632&UID=0&PW=NMzJlYWE1NWI0&RT=MiM3
> 2. If requested, enter your name and email address.
> 3. If a password is required, enter the meeting password: 1234
> 4. Click "Join".
>
> To view in other time zones or languages, please click the link:
>
> https://ietf.webex.com/ietf/j.php?ED=156730632&UID=0&PW=NMzJlYWE1NWI0&ORT=MiM3
>
> -------------------------------------------------------
> To join the audio conference only
> -------------------------------------------------------
> Call-in toll number (US/Canada): +1-408-600-3600
>
> Access code:645 637 139
>
> -------------------------------------------------------
> For assistance
> -------------------------------------------------------
> 1. Go to https://ietf.webex.com/ietf/mc
> 2. On the left navigation bar, click "Support".
>
> You can contact me at:
> clue-chairs@tools.ietf.org<mailto:clue-chairs@tools.ietf.org>
>
>
> To add this meeting to your calendar program (for example Microsoft
> Outlook), click this link:
>
> https://ietf.webex.com/ietf/j.php?ED=156730632&UID=0&ICS=MI&LD=1&RD=2&ST=1&SHA2=HwquahZaXLBXs2WS/-/t0C4CJjOjgZnoju9jNXojfG8=&RT=MiM3
>
> The playback of UCF (Universal Communications Format) rich media files
> requires appropriate players. To view this type of rich media files in the
> meeting, please check whether you have the players installed on your
> computer by going to https://ietf.webex.com/ietf/systemdiagnosis.php.
>
> Sign up for a free trial of WebEx
> http://www.webex.com/go/mcemfreetrial
>
> http://www.webex.com
>
> CCP:+14086003600x645637139#
>
> IMPORTANT NOTICE: This WebEx service includes a feature that allows audio
> and any documents and other materials exchanged or viewed during the
> session to be recorded. By joining this session, you automatically consent
> to such recordings. If you do not consent to the recording, discuss your
> concerns with the meeting host prior to the start of the recording or do
> not join the session. Please note that any such recordings may be subject
> to discovery in the event of litigation.
>
>

--f46d04462fbc84d0d904c543ca0f
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

I have uploaded the revised chart package to the proceedings:<div><a href=
=3D"https://pub.ietf.org/proceedings/84/clue/">https://pub.ietf.org/proceed=
ings/84/clue/</a></div><div><br></div><div>Note that I moved the CLUE intro=
 part to right after the Overview of Telepresence as I added a statement on=
 motivation.=A0</div>
<div><br></div><div>I&#39;m also wondering if we shouldn&#39;t add pictures=
 to the use cases. =A0In looking at past materials for CLUE when it was dis=
cussed in DISPATCH, the use cases were presented entirely as diagrams:</div=
>
<div><a href=3D"https://pub.ietf.org/proceedings/84/clue/">https://pub.ietf=
.org/proceedings/84/clue/</a></div><div>Thus, it would seem we could have t=
he pictures with accompanying notes that match the current text (i.e., the =
current text is what is stated as the picture is presented).</div>
<div><br></div><div>Mary.=A0</div><div><br></div><div><br></div><div><div c=
lass=3D"gmail_quote">On Thu, Jul 19, 2012 at 9:23 AM, Mary Barnes <span dir=
=3D"ltr">&lt;<a href=3D"mailto:mary.ietf.barnes@gmail.com" target=3D"_blank=
">mary.ietf.barnes@gmail.com</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex"><div class=3D"gmail_quote">Hello ,<br>
<br>
Here&#39;s the details for the tutorial prep call that we discussed on Tues=
day - this was the only time where we could get everyone. =A0If folks could=
 please have updates to charts =A0to me no later than 8am Central tomorrow,=
 that would be most helpful. =A0Or let me know if you want me to make updat=
es based on meeting discussion or send you the updated charts so you can ma=
ke more updates.</div>

<div class=3D"gmail_quote"><br></div><div class=3D"gmail_quote">
Topic: CLUE WG - tutorial prep<br>
Date: Friday, July 20, 2012<br>
Time: 10:00 am, Central Daylight Time (Chicago, GMT-05:00)<br>
Meeting Number: 645 637 139<br>
Meeting Password: 1234<br>
<br>
<br>
-------------------------------------------------------<br>
To join the online meeting (Now from mobile devices!)<br>
-------------------------------------------------------<br>
1. Go to <a href=3D"https://ietf.webex.com/ietf/j.php?ED=3D156730632&amp;UI=
D=3D0&amp;PW=3DNMzJlYWE1NWI0&amp;RT=3DMiM3" target=3D"_blank">https://ietf.=
webex.com/ietf/j.php?ED=3D156730632&amp;UID=3D0&amp;PW=3DNMzJlYWE1NWI0&amp;=
RT=3DMiM3</a><br>


2. If requested, enter your name and email address.<br>
3. If a password is required, enter the meeting password: 1234<br>
4. Click &quot;Join&quot;.<br>
<br>
To view in other time zones or languages, please click the link:<br>
<a href=3D"https://ietf.webex.com/ietf/j.php?ED=3D156730632&amp;UID=3D0&amp=
;PW=3DNMzJlYWE1NWI0&amp;ORT=3DMiM3" target=3D"_blank">https://ietf.webex.co=
m/ietf/j.php?ED=3D156730632&amp;UID=3D0&amp;PW=3DNMzJlYWE1NWI0&amp;ORT=3DMi=
M3</a><br>
<br>
-------------------------------------------------------<br>
To join the audio conference only<br>
-------------------------------------------------------<br>
Call-in toll number (US/Canada): <a href=3D"tel:%2B1-408-600-3600" value=3D=
"+14086003600" target=3D"_blank">+1-408-600-3600</a><br>
<br>
Access code:645 637 139<br>
<br>
-------------------------------------------------------<br>
For assistance<br>
-------------------------------------------------------<br>
1. Go to <a href=3D"https://ietf.webex.com/ietf/mc" target=3D"_blank">https=
://ietf.webex.com/ietf/mc</a><br>
2. On the left navigation bar, click &quot;Support&quot;.<br>
<br>
You can contact me at:<br>
<a href=3D"mailto:clue-chairs@tools.ietf.org" target=3D"_blank">clue-chairs=
@tools.ietf.org</a>&lt;mailto:<a href=3D"mailto:clue-chairs@tools.ietf.org"=
 target=3D"_blank">clue-chairs@tools.ietf.org</a>&gt;<br>
<br>
<br>
To add this meeting to your calendar program (for example Microsoft Outlook=
), click this link:<br>
<a href=3D"https://ietf.webex.com/ietf/j.php?ED=3D156730632&amp;UID=3D0&amp=
;ICS=3DMI&amp;LD=3D1&amp;RD=3D2&amp;ST=3D1&amp;SHA2=3DHwquahZaXLBXs2WS/-/t0=
C4CJjOjgZnoju9jNXojfG8=3D&amp;RT=3DMiM3" target=3D"_blank">https://ietf.web=
ex.com/ietf/j.php?ED=3D156730632&amp;UID=3D0&amp;ICS=3DMI&amp;LD=3D1&amp;RD=
=3D2&amp;ST=3D1&amp;SHA2=3DHwquahZaXLBXs2WS/-/t0C4CJjOjgZnoju9jNXojfG8=3D&a=
mp;RT=3DMiM3</a><br>


<br>
The playback of UCF (Universal Communications Format) rich media files requ=
ires appropriate players. To view this type of rich media files in the meet=
ing, please check whether you have the players installed on your computer b=
y going to <a href=3D"https://ietf.webex.com/ietf/systemdiagnosis.php" targ=
et=3D"_blank">https://ietf.webex.com/ietf/systemdiagnosis.php</a>.<br>


<br>
Sign up for a free trial of WebEx<br>
<a href=3D"http://www.webex.com/go/mcemfreetrial" target=3D"_blank">http://=
www.webex.com/go/mcemfreetrial</a><br>
<br>
<a href=3D"http://www.webex.com" target=3D"_blank">http://www.webex.com</a>=
<br>
<br>
CCP:+14086003600x645637139#<br>
<br>
IMPORTANT NOTICE: This WebEx service includes a feature that allows audio a=
nd any documents and other materials exchanged or viewed during the session=
 to be recorded. By joining this session, you automatically consent to such=
 recordings. If you do not consent to the recording, discuss your concerns =
with the meeting host prior to the start of the recording or do not join th=
e session. Please note that any such recordings may be subject to discovery=
 in the event of litigation.<br>


</div><br>
</blockquote></div><br></div>

--f46d04462fbc84d0d904c543ca0f--

From ron.even.tlv@gmail.com  Fri Jul 20 08:02:40 2012
Return-Path: <ron.even.tlv@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 18EA821F8598 for <clue@ietfa.amsl.com>; Fri, 20 Jul 2012 08:02:40 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.523
X-Spam-Level: 
X-Spam-Status: No, score=-3.523 tagged_above=-999 required=5 tests=[AWL=0.075,  BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id GCZ3sFtO+RFo for <clue@ietfa.amsl.com>; Fri, 20 Jul 2012 08:02:39 -0700 (PDT)
Received: from mail-wi0-f178.google.com (mail-wi0-f178.google.com [209.85.212.178]) by ietfa.amsl.com (Postfix) with ESMTP id D7F3621F85CE for <clue@ietf.org>; Fri, 20 Jul 2012 08:02:38 -0700 (PDT)
Received: by wibhr14 with SMTP id hr14so515731wib.13 for <clue@ietf.org>; Fri, 20 Jul 2012 08:03:34 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=from:to:references:in-reply-to:subject:date:message-id:mime-version :content-type:x-mailer:thread-index:content-language; bh=L6keem6sBCnEw0pjNCsTZ4qcKkWp/4d/Yv0t3i7Tz5A=; b=ZQYp/sN6mCCGonyUwEiyT1zSs1/m5Jdx2D6oCkOhDHeud3tmT3mAOCBEgVeeNvbkQU dXUc0tYGEUz+pa6PDHsAHCgoJpsiQd1SCWzCRKamdvlMgN840iHM9MGQsiFQY9qd8RNV 6zsfsFL1dSZylCgkFdOljBWfdx1Z+t2bZnrzn3BGFMV/+4hjF1glaNFV2xI0yVYHQUn1 3nOvQ5Cxfz+A9Rxw/iO61hxufk8kxUlYsjo1sOanTnfHbuB/fqf/sILQhKC+VKkePdqv sHSRDDZnjIQ2y3lLr48s26i47ny0h3UF9cD4H06zjGpTuFZLe2zacOdxapZe3enuHLxA ZwsA==
Received: by 10.180.78.99 with SMTP id a3mr26802081wix.15.1342796614320; Fri, 20 Jul 2012 08:03:34 -0700 (PDT)
Received: from RoniE (bzq-79-176-214-12.red.bezeqint.net. [79.176.214.12]) by mx.google.com with ESMTPS id cl8sm45143727wib.10.2012.07.20.08.03.29 (version=TLSv1/SSLv3 cipher=OTHER); Fri, 20 Jul 2012 08:03:31 -0700 (PDT)
From: "Roni Even" <ron.even.tlv@gmail.com>
To: <clue@ietf.org>
References: <CAHBDyN51G6YtaZ9otA91KX_+XUsAE4q6tHRiZYsxNZAC2dWORg@mail.gmail.com> <CAHBDyN5AZ_L=k48TYM4RwHccE-9xqcpy06bGUK1pHedX9DO94Q@mail.gmail.com>
In-Reply-To: <CAHBDyN5AZ_L=k48TYM4RwHccE-9xqcpy06bGUK1pHedX9DO94Q@mail.gmail.com>
Date: Fri, 20 Jul 2012 18:02:49 +0200
Message-ID: <034f01cd6691$1e1ed2c0$5a5c7840$@gmail.com>
MIME-Version: 1.0
Content-Type: multipart/mixed; boundary="----=_NextPart_000_0350_01CD66A1.E1A86610"
X-Mailer: Microsoft Outlook 14.0
Thread-Index: AQEss1EYx6pGX3m9Sl+5XE0ZQzRcAQHx/7RamGQrirA=
Content-Language: en-us
Subject: [clue] FW:  Design team meeting: July 17th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 20 Jul 2012 15:02:40 -0000

This is a multipart message in MIME format.

------=_NextPart_000_0350_01CD66A1.E1A86610
Content-Type: multipart/alternative;
	boundary="----=_NextPart_001_0351_01CD66A1.E1A86610"


------=_NextPart_001_0351_01CD66A1.E1A86610
Content-Type: text/plain;
	charset="us-ascii"
Content-Transfer-Encoding: 7bit

 

 

From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Mary
Barnes
Sent: 17 July, 2012 2:46 AM
To: CLUE
Subject: Re: [clue] Design team meeting: July 17th, 2012

 

I have combined the presentations I have received by this time (overview,
use cases (Roni's from last week) and framework) into a single presentation.
The wiki doesn't like the large .ppt file, so I have just uploaded the file
in the meeting proceedings (which we would need to do in the end anyways). 

 

We will go over this on the call tomorrow:

http://www.ietf.org/proceedings/84/clue.html

 

Also, if someone could volunteer to take notes ahead of time, that would be
helpful. 

 

Thanks,

Mary.

 

On Mon, Jul 16, 2012 at 2:04 PM, Mary Barnes <mary.ietf.barnes@gmail.com>
wrote:

Hi all,

 

I know everyone is busily working on draft updates for the deadline today.
However, I would still like to stick with the plan of going over materials
for the tutorial tomorrow - July 17th. The expectation is to have the final
versions ready next week for our design team call on the 24th before
IETF-84.  Even a rough version or outline will help us to make sure we don't
have overlaps and that the material will flow better. The idea is that we
will have one chart package with everything together so we won't have to
switch presentations during the tutorial.   

 

Please send me what you have no later than 8am Central tomorrow morning, so
I can get them uploaded to the wiki before the meeting.

 

Thanks,

Mary. 

 


------=_NextPart_001_0351_01CD66A1.E1A86610
Content-Type: text/html;
	charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" =
xmlns:o=3D"urn:schemas-microsoft-com:office:office" =
xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" =
xmlns=3D"http://www.w3.org/TR/REC-html40"><head><META =
HTTP-EQUIV=3D"Content-Type" CONTENT=3D"text/html; =
charset=3Dus-ascii"><meta name=3DGenerator content=3D"Microsoft Word 14 =
(filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
span.EmailStyle17
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.25in 1.0in 1.25in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue =
vlink=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span>=
</b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] <b>On Behalf Of =
</b>Mary Barnes<br><b>Sent:</b> 17 July, 2012 2:46 AM<br><b>To:</b> =
CLUE<br><b>Subject:</b> Re: [clue] Design team meeting: July 17th, =
2012<o:p></o:p></span></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p =
class=3DMsoNormal>I have combined the presentations I have received by =
this time (overview, use cases (Roni's from last week) and framework) =
into a single presentation. &nbsp;The wiki doesn't like the large .ppt =
file, so I have just uploaded the file in the meeting proceedings (which =
we would need to do in the end anyways).&nbsp;<o:p></o:p></p><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>We will go over this on the call =
tomorrow:<o:p></o:p></p></div><div><p class=3DMsoNormal><a =
href=3D"http://www.ietf.org/proceedings/84/clue.html">http://www.ietf.org=
/proceedings/84/clue.html</a><o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>Also, if someone could volunteer to take notes ahead =
of time, that would be helpful.&nbsp;<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>Thanks,<o:p></o:p></p></div><div><p =
class=3DMsoNormal>Mary.<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><div><p class=3DMsoNormal>On Mon, =
Jul 16, 2012 at 2:04 PM, Mary Barnes &lt;<a =
href=3D"mailto:mary.ietf.barnes@gmail.com" =
target=3D"_blank">mary.ietf.barnes@gmail.com</a>&gt; =
wrote:<o:p></o:p></p><p class=3DMsoNormal>Hi all,<o:p></o:p></p><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p class=3DMsoNormal>I =
know everyone is busily working on draft updates for the deadline today. =
&nbsp;However, I would still like to stick with the plan of going over =
materials for the tutorial tomorrow - July 17th. The expectation is to =
have the final versions ready next week for our design team call on the =
24th before IETF-84. &nbsp;Even a rough version or outline will help us =
to make sure we don't have overlaps and that the material will flow =
better. The idea is that we will have one chart package with everything =
together so we won't have to switch presentations during the tutorial. =
&nbsp;&nbsp;<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>Please send me what you have no later than 8am Central =
tomorrow morning, so I can get them uploaded to the wiki before the =
meeting.<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>Thanks,<o:p></o:p></p></div><div><p =
class=3DMsoNormal>Mary.&nbsp;<o:p></o:p></p></div></div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div></div></body></html>
------=_NextPart_001_0351_01CD66A1.E1A86610--

------=_NextPart_000_0350_01CD66A1.E1A86610
Content-Type: text/plain;
	name="Untitled attachment 00205.txt"
Content-Transfer-Encoding: 7bit
Content-Disposition: attachment;
	filename="Untitled attachment 00205.txt"

_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

------=_NextPart_000_0350_01CD66A1.E1A86610--


From espeberg@cisco.com  Mon Jul 23 08:26:56 2012
Return-Path: <espeberg@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 9961511E808E for <clue@ietfa.amsl.com>; Mon, 23 Jul 2012 08:26:56 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.598
X-Spam-Level: 
X-Spam-Status: No, score=-10.598 tagged_above=-999 required=5 tests=[AWL=-0.000, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id qWy+Bub9qvne for <clue@ietfa.amsl.com>; Mon, 23 Jul 2012 08:26:52 -0700 (PDT)
Received: from rcdn-iport-5.cisco.com (rcdn-iport-5.cisco.com [173.37.86.76]) by ietfa.amsl.com (Postfix) with ESMTP id 6126811E807F for <clue@ietf.org>; Mon, 23 Jul 2012 08:26:50 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=espeberg@cisco.com; l=33008; q=dns/txt; s=iport; t=1343057211; x=1344266811; h=from:to:subject:date:message-id:references:in-reply-to: mime-version; bh=ykJVYipKhh3R+474FPOl7P463w9T9SKHbYiDTP3FZOo=; b=Wca8ibYHLCCHfwcO2aLSvIpeEdA/j8gX3c9Wl7GYmey/ErTtou0ej3pg 1L9xRczVc9Nvs4FU27JjqAHSp9g+HEAfEX02X0XSEQ7Xvtq9odXRqJws4 dzHg6XmB7gUBzc5tFDh0yYBaLWNS8Kd3qavcCJ4WptDy9JRB3Z2qAkRpp M=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: AlUFAOZsDVCtJXG//2dsb2JhbABFgkqtdwGIdoEHgiABAQEEEgEaXAIBCBEEAQELFgEGByERFAkIAQEEARIIGodcAwwLnRmWAg2JTopmZ4VzYAOTdYJoiXaDHYFmgl8
X-IronPort-AV: E=Sophos;i="4.77,639,1336348800";  d="scan'208,217";a="104426648"
Received: from rcdn-core2-4.cisco.com ([173.37.113.191]) by rcdn-iport-5.cisco.com with ESMTP; 23 Jul 2012 15:26:49 +0000
Received: from xhc-rcd-x08.cisco.com (xhc-rcd-x08.cisco.com [173.37.183.82]) by rcdn-core2-4.cisco.com (8.14.5/8.14.5) with ESMTP id q6NFQn92032050 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Mon, 23 Jul 2012 15:26:49 GMT
Received: from xmb-rcd-x11.cisco.com ([169.254.1.95]) by xhc-rcd-x08.cisco.com ([173.37.183.82]) with mapi id 14.02.0298.004; Mon, 23 Jul 2012 10:26:46 -0500
From: "Espen Berger (espeberg)" <espeberg@cisco.com>
To: "Allyn Romanow (allyn)" <allyn@cisco.com>, Roni Even <ron.even.tlv@gmail.com>, "'CLUE'" <clue@ietf.org>
Thread-Topic: [clue] a few issues on data model draft
Thread-Index: Ac1kg8WEk0AQoAApS8WeIXXwQa82UAA1kpGAAAx4C1AA1J+KwA==
Date: Mon, 23 Jul 2012 15:26:45 +0000
Message-ID: <E8F5F2C7B2623641BD9ABF0B622D726D023307@xmb-rcd-x11.cisco.com>
References: <FD433719B54BFE41A70641D06F516F1304001C@xmb-aln-x02.cisco.com> <023001cd6530$28b664d0$7a232e70$@gmail.com> <FD433719B54BFE41A70641D06F516F13040D83@xmb-aln-x02.cisco.com>
In-Reply-To: <FD433719B54BFE41A70641D06F516F13040D83@xmb-aln-x02.cisco.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.54.65.113]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19058.005
x-tm-as-result: No--38.143700-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: multipart/alternative; boundary="_000_E8F5F2C7B2623641BD9ABF0B622D726D023307xmbrcdx11ciscocom_"
MIME-Version: 1.0
Subject: Re: [clue] a few issues on data model draft
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 23 Jul 2012 15:26:56 -0000

--_000_E8F5F2C7B2623641BD9ABF0B622D726D023307xmbrcdx11ciscocom_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

I have two questions to the data model draft.

The first questions is related to naming differences between the CLUE frame=
work and the CLUE data model. Some examples of differences. the framework u=
ses Description and the data model uses capture-scene-text, the framework u=
ses capture and the data model uses capture-description . Isn't it natural =
that both documents share the same vocabulary?

The second questions is related to the concept of doing a data model as the=
 basis for both advertisement and configuration messages. Playing around wi=
th some XML examples messages it's not obvious that the two messages types =
share a common data model. I do see similarities between the initial advert=
isement, the current active configuration and the advantages of be able to =
describe the state of a running CLUE system. Assume this will be sorted out=
 when we look at the details of how to do configuration in CLUE.

Additional comments inline.

-Espen


From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of All=
yn Romanow (allyn)
Sent: 18. juli 2012 23:00
To: Roni Even; 'CLUE'
Subject: Re: [clue] a few issues on data model draft

Hi Roni,
Sure, these are easy to add-
thanks

From: Roni Even [mailto:ron.even.tlv@gmail.com]<mailto:[mailto:ron.even.tlv=
@gmail.com]>
Sent: Wednesday, July 18, 2012 2:56 PM
To: Allyn Romanow (allyn); 'CLUE'
Subject: RE: [clue] a few issues on data model draft

Hi,
Reviewed the draft, inline for your question (BTW: not all the new attribut=
es here are in BOLD for example captureID)

Other comments


1.       Need to add axis of capture to the media capture (now in the frame=
work)

2.       The capture scene text and language should be sets of (text, langu=
age), I think is not the current structure

Thanks
Roni

From: clue-bounces@ietf.org<mailto:clue-bounces@ietf.org> [mailto:clue-boun=
ces@ietf.org]<mailto:[mailto:clue-bounces@ietf.org]> On Behalf Of Allyn Rom=
anow (allyn)
Sent: 18 July, 2012 3:22 AM
To: CLUE (clue@ietf.org<mailto:clue@ietf.org>)
Subject: [clue] a few issues on data model draft


Folks,

There are several issues related to the data model that we'd like us to con=
sider. These are things that are not exactly the same as in the framework, =
to a lesser or greater extent. They were brought up during the data model p=
resentation at the interim meeting. I wonder if we could work on resolving =
them?

List based on draft-romanow-clue-data-model-01

1.  Any problem with using media-type for capture attribute as described in=
 the draft?

RE: OK
EBE> Supported, since its allow us to join the audio and video encodings in=
to a single list of encodings.

2.  Any problem with using content-type for capture attribute as described =
in the draft?

                RE: I did not see any difference from the framework in whic=
h case I am OK.
               EBE> The framework use the 'content' name and the data model=
 the 'content-type' name. Why not use the same name?

3.  DERIVED for capture attribute- Should we have a variable called somethi=
ng like DERIVED, that takes various values, one of which is composed. That =
would mean that if DERIVED is not =3Dcomposed, that the capture is not comp=
osed, and if it =3Dcomposed then it is. I don't have another descriptor to =
propose now, but there could be others either now or later.

Why this change from the framework? I think it is more general than compose=
d Boolean, yet semantically similar.

This does not prevent us from having qualifiers to describe composed, to he=
lp  distinguish between different composed captures, as has  been discussed=
. Also, it needs to be possible to have multiple values for "DERIVED", that=
 is the values should not be mutually exclusive.

                RE:  I am OK if this is for future extension but am not sur=
e about the structure  the high level derived which has Compose and future =
something (not sure what). The composed has a value (true, false) and child=
 elements for extensions . Is this the proposed structure?
EBE> I like the idea of describing the origin of the capture with an attrib=
ute that is more extensible than a Boolean. What about creating enumerated =
values for the two origins we are currently discussing. We have 'composed' =
(composed=3Dtrue) meaning that the media has been changed in some way and o=
riginal (composed=3Dfalse).

4.  Leave switched as a Boolean as in framework. The proposal in the draft =
seems infeasible - we don't want CLUE  to have to include all the ways in w=
hich products might want to implement switching. It would be better to make=
 this more general, but we have no suggestion for it at present- it does no=
t really match the meaning of a derived capture.

                RE: I think that if we have the extension for composed as I=
 outlined above we can have similar here.

5.  As part of the capture description, should we have a parameter NATIVE-A=
SPECT-RATIO, which indicates the aspect ratio for the capture if there is o=
ne, such as 4:3 for a video camera? The reason is that it can help renderin=
g.

Currently it is not possible to tell whether a remote video source is nativ=
ely 4:3 or 16:9, for instance. If we have this, there might usefully be a "=
PREFERRED-ASPECT-RATIO" in the consumer's stream selection message as part =
of the  (e.g. in "<stream-description> / <encoding>").

                RE: No need, first of all it does not work with switched ca=
pture that may have different aspect ratios. Also this is available in the =
SDP as well as a way for receiver to ask for specific ratio using the SDP i=
mage attribute.
EBE> The image attribute (RFC6236) document talks about image resolution an=
d picture aspect ratio, and how they relates to codec specific parameters l=
ike h264 max-fs and max-mbps.  An attribute can have a single value, a list=
 of values or a range.

6.   Multiplex ID - Value sent by consumer in its stream selection message =
with the encoding id and capture id. This is the mechanism by which the con=
sumer tells the provider which multiplex id to generate that stream with, s=
o that the consumer can demultiplex the stream correctly when receiving it.
This is the link between RTP and CLUE as discussed in draft-lennox-clue-rtp=
-usage.

     Think should probably be re-named.

               RE: I do not see the need the mapping is to the capture ID w=
hich is a numeric value. See http://tools.ietf.org/html/draft-even-clue-rtp=
-mapping-03

           7.  AUDIO-RENDERING-ID -  If the notion of an audio rendering ta=
g is

     adopted, this would be needed. It is an ID provided by the consumer to=
 the

     provider. The provider uses the tag to associate an audio stream with =
a video

    stream.

                RE; suggest to take this out at the moment until we agree i=
f needed and how to map.
EBE> I assume that matching RTCP SDES CNAME is still the preferred mechanis=
ms for syncing audio and video for lip-sync (as defined in RFC3550). When w=
e discussed audio tags last interim it as was presented as a tool for impro=
ving directional audio.



Clearly this doesn't cover all the data model issues, but it's a start.



Thanks,

Andy and Allyn



--_000_E8F5F2C7B2623641BD9ABF0B622D726D023307xmbrcdx11ciscocom_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40">
<head>
<meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"=
>
<meta name=3D"Generator" content=3D"Microsoft Word 14 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0cm;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
p
	{mso-style-priority:99;
	mso-margin-top-alt:auto;
	margin-right:0cm;
	mso-margin-bottom-alt:auto;
	margin-left:0cm;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
p.MsoAcetate, li.MsoAcetate, div.MsoAcetate
	{mso-style-priority:99;
	mso-style-link:"Balloon Text Char";
	margin:0cm;
	margin-bottom:.0001pt;
	font-size:8.0pt;
	font-family:"Tahoma","sans-serif";}
p.MsoNoSpacing, li.MsoNoSpacing, div.MsoNoSpacing
	{mso-style-priority:1;
	margin:0cm;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
p.MsoListParagraph, li.MsoListParagraph, div.MsoListParagraph
	{mso-style-priority:34;
	margin-top:0cm;
	margin-right:0cm;
	margin-bottom:0cm;
	margin-left:36.0pt;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
span.BalloonTextChar
	{mso-style-name:"Balloon Text Char";
	mso-style-priority:99;
	mso-style-link:"Balloon Text";
	font-family:"Tahoma","sans-serif";}
span.EmailStyle22
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
span.EmailStyle23
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.EmailStyle24
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.EmailStyle25
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-size:10.0pt;}
@page WordSection1
	{size:612.0pt 792.0pt;
	margin:72.0pt 72.0pt 72.0pt 72.0pt;}
div.WordSection1
	{page:WordSection1;}
/* List Definitions */
@list l0
	{mso-list-id:959382058;
	mso-list-type:hybrid;
	mso-list-template-ids:-1109785824 67698703 67698713 67698715 67698703 6769=
8713 67698715 67698703 67698713 67698715;}
@list l0:level1
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;}
@list l0:level2
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;}
@list l0:level3
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
@list l0:level4
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;}
@list l0:level5
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;}
@list l0:level6
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
@list l0:level7
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;}
@list l0:level8
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;}
@list l0:level9
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
ol
	{margin-bottom:0cm;}
ul
	{margin-bottom:0cm;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang=3D"NO-BOK" link=3D"blue" vlink=3D"purple">
<div class=3D"WordSection1">
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">I have two=
 questions to the data model draft.
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">The first =
questions is related to naming differences between the CLUE framework and t=
he CLUE data model. Some examples of differences. the framework
 uses Description and the data model uses capture-scene-text, the framework=
 uses capture and the data model uses capture-description . Isn&#8217;t it =
natural that both documents share the same vocabulary?
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">The second=
 questions is related to the concept of doing a data model as the basis for=
 both advertisement and configuration messages. Playing around
 with some XML examples messages it&#8217;s not obvious that the two messag=
es types share a common data model. I do see similarities between the initi=
al advertisement, the current active configuration and the advantages of be=
 able to describe the state of a running
 CLUE system. Assume this will be sorted out when we look at the details of=
 how to do configuration in CLUE. &nbsp;<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Additional=
 comments inline.
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">-Espen
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0cm =
0cm 0cm">
<p class=3D"MsoNormal"><b><span lang=3D"EN-US" style=3D"font-size:10.0pt;fo=
nt-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span =
lang=3D"EN-US" style=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&qu=
ot;sans-serif&quot;"> clue-bounces@ietf.org [mailto:clue-bounces@ietf.org]
<b>On Behalf Of </b>Allyn Romanow (allyn)<br>
<b>Sent:</b> 18. juli 2012 23:00<br>
<b>To:</b> Roni Even; 'CLUE'<br>
<b>Subject:</b> Re: [clue] a few issues on data model draft<o:p></o:p></spa=
n></p>
</div>
</div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Hi Roni,<o=
:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Sure, thes=
e are easy to add-<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">thanks<o:p=
></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0cm =
0cm 0cm">
<p class=3D"MsoNormal"><b><span lang=3D"EN-US" style=3D"font-size:10.0pt;fo=
nt-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span =
lang=3D"EN-US" style=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&qu=
ot;sans-serif&quot;"> Roni Even
<a href=3D"mailto:[mailto:ron.even.tlv@gmail.com]">[mailto:ron.even.tlv@gma=
il.com]</a>
<br>
<b>Sent:</b> Wednesday, July 18, 2012 2:56 PM<br>
<b>To:</b> Allyn Romanow (allyn); 'CLUE'<br>
<b>Subject:</b> RE: [clue] a few issues on data model draft<o:p></o:p></spa=
n></p>
</div>
</div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Hi,<o:p></=
o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Reviewed t=
he draft, inline for your question (BTW: not all the new attributes here ar=
e in BOLD for example captureID)<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Other comm=
ents<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoListParagraph" style=3D"text-indent:-18.0pt;mso-list:l0 leve=
l1 lfo2"><![if !supportLists]><span lang=3D"EN-US" style=3D"font-size:11.0p=
t;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><sp=
an style=3D"mso-list:Ignore">1.<span style=3D"font:7.0pt &quot;Times New Ro=
man&quot;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span lang=3D"EN-US" style=3D"font-size:11.0=
pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Ne=
ed to add axis of capture to the media capture (now in the framework)<o:p><=
/o:p></span></p>
<p class=3D"MsoListParagraph" style=3D"text-indent:-18.0pt;mso-list:l0 leve=
l1 lfo2"><![if !supportLists]><span lang=3D"EN-US" style=3D"font-size:11.0p=
t;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><sp=
an style=3D"mso-list:Ignore">2.<span style=3D"font:7.0pt &quot;Times New Ro=
man&quot;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span lang=3D"EN-US" style=3D"font-size:11.0=
pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Th=
e capture scene text and language should be sets of (text, language), I thi=
nk is not the current structure<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Thanks<o:p=
></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Roni<o:p><=
/o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0cm =
0cm 0cm">
<p class=3D"MsoNormal"><b><span lang=3D"EN-US" style=3D"font-size:10.0pt;fo=
nt-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span =
lang=3D"EN-US" style=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&qu=
ot;sans-serif&quot;">
<a href=3D"mailto:clue-bounces@ietf.org">clue-bounces@ietf.org</a> <a href=
=3D"mailto:[mailto:clue-bounces@ietf.org]">
[mailto:clue-bounces@ietf.org]</a> <b>On Behalf Of </b>Allyn Romanow (allyn=
)<br>
<b>Sent:</b> 18 July, 2012 3:22 AM<br>
<b>To:</b> CLUE (<a href=3D"mailto:clue@ietf.org">clue@ietf.org</a>)<br>
<b>Subject:</b> [clue] a few issues on data model draft<o:p></o:p></span></=
p>
</div>
</div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
<p><span lang=3D"EN-US" style=3D"font-family:&quot;Courier New&quot;">Folks=
,</span><span lang=3D"EN-US"><o:p></o:p></span></p>
<p><span lang=3D"EN-US" style=3D"font-family:&quot;Courier New&quot;">There=
 are several issues related to the data model that we&#8217;d like us to co=
nsider. These are things that are not exactly the same as in the framework,=
 to a lesser or greater extent. They were brought up
 during the data model presentation at the interim meeting. I wonder if we =
could work on resolving them?<o:p></o:p></span></p>
<p><span lang=3D"EN-US" style=3D"font-family:&quot;Courier New&quot;">List =
based on draft-romanow-clue-data-model-01</span><span lang=3D"EN-US"><o:p><=
/o:p></span></p>
<p style=3D"margin-left:36.0pt"><span lang=3D"EN-US" style=3D"font-family:&=
quot;Courier New&quot;">1.</span><span lang=3D"EN-US" style=3D"font-size:7.=
0pt">&nbsp;
</span><span lang=3D"EN-US" style=3D"font-family:&quot;Courier New&quot;">A=
ny problem with using media-type for capture attribute as described in the =
draft?<o:p></o:p></span></p>
<p style=3D"margin-left:36.0pt"><span lang=3D"EN-US" style=3D"color:#1F497D=
">RE: OK</span><span lang=3D"EN-US" style=3D"color:#1F497D"><br>
EBE&gt; Supported, since its allow us to join the audio and video encodings=
 into a single list of encodings.
<o:p></o:p></span></p>
<p style=3D"margin-left:36.0pt"><span lang=3D"EN-US" style=3D"font-family:&=
quot;Courier New&quot;">2.</span><span lang=3D"EN-US" style=3D"font-size:7.=
0pt">&nbsp;
</span><span lang=3D"EN-US" style=3D"font-family:&quot;Courier New&quot;">A=
ny problem with using content-type for capture attribute as described in th=
e draft?<o:p></o:p></span></p>
<p><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-family:&quot;Calibri=
&quot;,&quot;sans-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: I did not =
see any difference from the framework in which case I am OK.</span><span la=
ng=3D"EN-US" style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quo=
t;sans-serif&quot;;color:#1F497D"><br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp; EBE&gt; The framework use the &#8216;content&#8217; name and the =
data model the &#8216;content-type&#8217; name. Why not use the same name? =
&nbsp;<o:p></o:p></span></p>
<p style=3D"margin-left:36.0pt"><span lang=3D"EN-US" style=3D"font-family:&=
quot;Courier New&quot;">3.</span><span lang=3D"EN-US" style=3D"font-size:7.=
0pt">&nbsp;
</span><span lang=3D"EN-US" style=3D"font-family:&quot;Courier New&quot;">D=
ERIVED for capture attribute- Should we have a variable called something li=
ke DERIVED, that takes various values, one of which is composed. That would=
 mean that if DERIVED is not =3Dcomposed, that the
 capture is not composed, and if it =3Dcomposed then it is. I don&#8217;t h=
ave another descriptor to propose now, but there could be others either now=
 or later.</span><span lang=3D"EN-US"><o:p></o:p></span></p>
<p style=3D"margin-left:36.0pt"><span lang=3D"EN-US" style=3D"font-family:&=
quot;Courier New&quot;">Why this change from the framework? I think it is m=
ore general than composed Boolean, yet semantically similar.<o:p></o:p></sp=
an></p>
<p style=3D"margin-left:36.0pt"><span lang=3D"EN-US" style=3D"font-family:&=
quot;Courier New&quot;">This does not prevent us from having qualifiers to =
describe composed, to help &nbsp;distinguish between different composed cap=
tures, as has &nbsp;been discussed. Also, it needs to be possible
 to have multiple values for &#8220;DERIVED&#8221;, that is the values shou=
ld not be mutually exclusive.<o:p></o:p></span></p>
<p><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-family:&quot;Calibri=
&quot;,&quot;sans-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE:&nbsp; I am=
 OK if this is for future extension but am not sure about the structure &nb=
sp;the high level derived which has Compose and future something (not
 sure what). The composed has a value (true, false) and child elements for =
extensions . Is this the proposed structure?</span><span lang=3D"EN-US" sty=
le=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quo=
t;;color:#1F497D"><br>
EBE&gt; I like the idea of describing the origin of the capture with an att=
ribute that is more extensible than a Boolean. What about creating enumerat=
ed values for the two origins we are currently discussing. We have &#8216;c=
omposed&#8217; (composed=3Dtrue) meaning that the
 media has been changed in some way and original (composed=3Dfalse). </span=
><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-family:&quot;Calibri&q=
uot;,&quot;sans-serif&quot;;color:#1F497D"><o:p></o:p></span></p>
<p style=3D"margin-left:36.0pt"><span lang=3D"EN-US" style=3D"font-family:&=
quot;Courier New&quot;">4.&nbsp; Leave switched as a Boolean as in framewor=
k. The proposal in the draft seems infeasible &#8211; we don&#8217;t want C=
LUE &nbsp;to have to include all the ways in which products might want
 to implement switching. It would be better to make this more general, but =
we have no suggestion for it at present- it does not really match the meani=
ng of a derived capture.<o:p></o:p></span></p>
<p><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-family:&quot;Calibri=
&quot;,&quot;sans-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: I think th=
at if we have the extension for composed as I outlined above we can have si=
milar here.<o:p></o:p></span></p>
<p style=3D"margin-left:36.0pt"><span lang=3D"EN-US" style=3D"font-family:&=
quot;Courier New&quot;">5.</span><span lang=3D"EN-US" style=3D"font-size:7.=
0pt">&nbsp;
</span><span lang=3D"EN-US" style=3D"font-family:&quot;Courier New&quot;">A=
s part of the capture description, should we have a parameter NATIVE-ASPECT=
-RATIO, which indicates the aspect ratio for the capture if there is one, s=
uch as 4:3 for a video camera? The reason is that
 it can help rendering.<br>
<br>
Currently it is not possible to tell whether a remote video source is nativ=
ely 4:3 or 16:9, for instance. If we have this, there might usefully be a &=
quot;PREFERRED-ASPECT-RATIO&quot; in the consumer's stream selection messag=
e as part of the &nbsp;(e.g. in &quot;&lt;stream-description&gt;
 / &lt;encoding&gt;&quot;).<o:p></o:p></span></p>
<p><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-family:&quot;Calibri=
&quot;,&quot;sans-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: No need, f=
irst of all it does not work with switched capture that may have different =
aspect ratios. Also this is available in the SDP as well
 as a way for receiver to ask for specific ratio using the SDP image attrib=
ute.</span><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><br>
</span><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-family:&quot;Cal=
ibri&quot;,&quot;sans-serif&quot;;color:#1F497D">EBE&gt; The image attribut=
e (RFC6236) document talks about image resolution and picture aspect ratio,=
 and how they relates to codec specific parameters like h264
 max-fs and max-mbps. &nbsp;An attribute can have a single value, a list of=
 values or a range.
</span><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-family:&quot;Cal=
ibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p></o:p></span></p>
<p style=3D"margin-left:36.0pt"><span lang=3D"EN-US" style=3D"font-family:&=
quot;Courier New&quot;">6.</span><span lang=3D"EN-US" style=3D"font-size:7.=
0pt">&nbsp; &nbsp;</span><span lang=3D"EN-US" style=3D"font-family:&quot;Co=
urier New&quot;">Multiplex ID &#8211; Value sent by consumer in its stream =
selection
 message with the encoding id and capture id. This is the mechanism by whic=
h the consumer tells the provider which multiplex id to generate that strea=
m with, so that the consumer can demultiplex the stream correctly when rece=
iving it.
<br>
This is the link between RTP and CLUE as discussed in draft-lennox-clue-rtp=
-usage.<o:p></o:p></span></p>
<p style=3D"margin-bottom:12.0pt"><span lang=3D"EN-US" style=3D"font-family=
:&quot;Courier New&quot;">&nbsp;&nbsp;&nbsp;&nbsp; Think should probably be=
 re-named.<o:p></o:p></span></p>
<p style=3D"margin-bottom:12.0pt"><span lang=3D"EN-US" style=3D"font-size:1=
1.0pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"=
>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&n=
bsp;&nbsp; RE: I do not see the need the mapping is to the capture ID which=
 is a numeric value. See
<a href=3D"http://tools.ietf.org/html/draft-even-clue-rtp-mapping-03">http:=
//tools.ietf.org/html/draft-even-clue-rtp-mapping-03</a>
<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span lang=3D"EN-US">&nbsp;&nbsp; &nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</span><span lang=3D"EN-US" style=3D"font-=
family:&quot;Courier New&quot;">7.</span><span lang=3D"EN-US" style=3D"font=
-size:7.0pt;font-family:&quot;Courier New&quot;">&nbsp;
</span><span lang=3D"EN-US" style=3D"font-family:&quot;Courier New&quot;">A=
UDIO-RENDERING-ID &#8211; &nbsp;If the notion of an audio rendering tag is<=
o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span lang=3D"EN-US" style=3D"font-family:&quot;C=
ourier New&quot;">&nbsp;&nbsp; &nbsp;&nbsp;adopted, this would be needed. I=
t is an ID provided by the consumer to the<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span lang=3D"EN-US" style=3D"font-family:&quot;C=
ourier New&quot;">&nbsp;&nbsp;&nbsp; &nbsp;provider. The provider uses the =
tag to associate an audio stream with a video<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span lang=3D"EN-US" style=3D"font-family:&quot;C=
ourier New&quot;">&nbsp;&nbsp;&nbsp;&nbsp;stream.<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span lang=3D"EN-US" style=3D"font-size:11.0pt;fo=
nt-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp; RE; suggest to take this out at the moment until we agree if neede=
d and how to map.</span><span lang=3D"EN-US" style=3D"font-size:11.0pt;font=
-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><br>
EBE&gt; I assume that matching RTCP SDES CNAME is still the preferred mecha=
nisms for syncing audio and video for lip-sync (as defined in RFC3550). Whe=
n we discussed audio tags last interim it as was presented as a tool for im=
proving directional audio.
</span><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-family:&quot;Cal=
ibri&quot;,&quot;sans-serif&quot;"><o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span lang=3D"EN-US" style=3D"font-size:11.0pt;fo=
nt-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&n=
bsp;</o:p></span></p>
<p class=3D"MsoNoSpacing"><span lang=3D"EN-US" style=3D"font-family:&quot;C=
ourier New&quot;">Clearly this doesn&#8217;t cover all the data model issue=
s, but it&#8217;s a start.<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span lang=3D"EN-US" style=3D"font-family:&quot;C=
ourier New&quot;"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNoSpacing"><span lang=3D"EN-US" style=3D"font-family:&quot;C=
ourier New&quot;">Thanks,<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span lang=3D"EN-US" style=3D"font-family:&quot;C=
ourier New&quot;">Andy and Allyn<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;"><o:p>&nbsp;</o:p></span>=
</p>
</div>
</body>
</html>

--_000_E8F5F2C7B2623641BD9ABF0B622D726D023307xmbrcdx11ciscocom_--

From pkyzivat@alum.mit.edu  Mon Jul 23 14:10:17 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 801F321F848F for <clue@ietfa.amsl.com>; Mon, 23 Jul 2012 14:10:17 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.348
X-Spam-Level: 
X-Spam-Status: No, score=-2.348 tagged_above=-999 required=5 tests=[AWL=0.251,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id MlQEUYe-Mr13 for <clue@ietfa.amsl.com>; Mon, 23 Jul 2012 14:10:16 -0700 (PDT)
Received: from QMTA11.westchester.pa.mail.comcast.net (qmta11.westchester.pa.mail.comcast.net [76.96.59.211]) by ietfa.amsl.com (Postfix) with ESMTP id 7AEA821F841A for <clue@ietf.org>; Mon, 23 Jul 2012 14:10:13 -0700 (PDT)
Received: from omta19.westchester.pa.mail.comcast.net ([76.96.62.98]) by QMTA11.westchester.pa.mail.comcast.net with comcast id dwLP1j00827AodY5BxAGEf; Mon, 23 Jul 2012 21:10:16 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta19.westchester.pa.mail.comcast.net with comcast id dxAQ1j00c3ZTu2S3fxAQl7; Mon, 23 Jul 2012 21:10:24 +0000
Message-ID: <500DBDB4.1020407@alum.mit.edu>
Date: Mon, 23 Jul 2012 17:10:12 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <FD433719B54BFE41A70641D06F516F1304001C@xmb-aln-x02.cisco.com>
In-Reply-To: <FD433719B54BFE41A70641D06F516F1304001C@xmb-aln-x02.cisco.com>
Content-Type: text/plain; charset=windows-1252; format=flowed
Content-Transfer-Encoding: 8bit
Subject: Re: [clue] a few issues on data model draft
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 23 Jul 2012 21:10:17 -0000

Allyn,

[replying as an individual]

On 7/17/12 9:22 PM, Allyn Romanow (allyn) wrote:
> Folks,
>
> There are several issues related to the data model that we’d like us to
> consider. These are things that are not exactly the same as in the
> framework, to a lesser or greater extent. They were brought up during
> the data model presentation at the interim meeting. I wonder if we could
> work on resolving them?
>
> List based on draft-romanow-clue-data-model-01
>
> 1.Any problem with using media-type for capture attribute as described
> in the draft?

I don't understand this.

IIUC, the intent is to use <CLUE-info> in both directions between 
provider and consumer.

In the advertisement from provider to consumer its clearly necessary to 
indicate the media type of a capture. That is so regardless of whether 
the consumer supports it or not.

The message from consumer to provider, for the purpose of choosing and 
configuring the captures it wishes to receive, it seems unnecessary to 
repeat any of the info from the advertisement that remains invariant, 
with the exception of the <capture-id>, which is needed to refer to the 
advertisement.

> 2.Any problem with using content-type for capture attribute as described
> in the draft?

Same comment as for 1 above.

> 3.DERIVED for capture attribute- Should we have a variable called
> something like DERIVED, that takes various values, one of which is
> composed. That would mean that if DERIVED is not =composed, that the
> capture is not composed, and if it =composed then it is. I don’t have
> another descriptor to propose now, but there could be others either now
> or later.
>
> Why this change from the framework? I think it is more general than
> composed Boolean, yet semantically similar.
>
> This does not prevent us from having qualifiers to describe composed, to
> help distinguish between different composed captures, as has been
> discussed. Also, it needs to be possible to have multiple values for
> “DERIVED”, that is the values should not be mutually exclusive.

> 4. Leave switched as a Boolean as in framework. The proposal in the
> draft seems infeasible – we don’t want CLUE to have to include all the
> ways in which products might want to implement switching. It would be
> better to make this more general, but we have no suggestion for it at
> present- it does not really match the meaning of a derived capture.

I don't yet have an opinion on <DERIVED> and <switched>. I'd like to 
hear what others have to say.

It seems to me that switching and composition are two forms of mixing 
video. And they are not mutually exclusive. You can mix using one or the 
other, or both. And of course there are multiple ways of composing and 
switching.

The situation is somewhat the same for audio, but the ways of composing 
and switching are different. (Switching for audio is probably only 
dependent on audio. Switching for video is typically also dependent on 
audio.)

> 5.As part of the capture description, should we have a parameter
> NATIVE-ASPECT-RATIO, which indicates the aspect ratio for the capture if
> there is one, such as 4:3 for a video camera? The reason is that it can
> help rendering.
>
> Currently it is not possible to tell whether a remote video source is
> natively 4:3 or 16:9, for instance. If we have this, there might
> usefully be a "PREFERRED-ASPECT-RATIO" in the consumer's stream
> selection message as part of the (e.g. in "<stream-description> /
> <encoding>").
>
> 6.Multiplex ID – Value sent by consumer in its stream selection message
> with the encoding id and capture id. This is the mechanism by which the
> consumer tells the provider which multiplex id to generate that stream
> with, so that the consumer can demultiplex the stream correctly when
> receiving it.
> This is the link between RTP and CLUE as discussed in
> draft-lennox-clue-rtp-usage.

I look in draft-lennox-clue-rtp-usage and I don't see any mention of the 
*consumer* supplying the multiplex ID. It talks of the sender choosing 
it, and the benefit that provides for reusing encodings to multiple 
receivers.

> Think should probably be re-named.
>
> 7.AUDIO-RENDERING-ID – If the notion of an audio rendering tag is
>
> adopted, this would be needed. It is an ID provided by the consumer to the
>
> provider. The provider uses the tag to associate an audio stream with a
> video
>
> stream.
>
> Clearly this doesn’t cover all the data model issues, but it’s a start.

Some other things:

I kind of implied it above, but I question whether it makes sense to use 
the same document format for both advertisement and configuration. If 
two formats were specified, then there would certainly be elements that 
appear in both, but not *all* elements.

Also, this version has eliminated the indicators of which elements can 
be repeated, and which are optional. Why?

	Thanks,
	Paul

From mary.ietf.barnes@gmail.com  Mon Jul 23 14:40:05 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 0521311E808E for <clue@ietfa.amsl.com>; Mon, 23 Jul 2012 14:40:05 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.55
X-Spam-Level: 
X-Spam-Status: No, score=-103.55 tagged_above=-999 required=5 tests=[AWL=0.048, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 6JURkrlTJmiV for <clue@ietfa.amsl.com>; Mon, 23 Jul 2012 14:40:04 -0700 (PDT)
Received: from mail-gh0-f172.google.com (mail-gh0-f172.google.com [209.85.160.172]) by ietfa.amsl.com (Postfix) with ESMTP id 6278411E807F for <clue@ietf.org>; Mon, 23 Jul 2012 14:40:04 -0700 (PDT)
Received: by ghbg16 with SMTP id g16so6565161ghb.31 for <clue@ietf.org>; Mon, 23 Jul 2012 14:40:04 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:date:message-id:subject:from:to:content-type; bh=zVy0HT9QyMV81MDBuw21AkbN7fqTio/yJo4GsKnYfOc=; b=pm/uyXmilHx4MtLc+wx47YUZkh8y7mPFL7f2uC0ZxfMWw86spEp4hAOdLabgQYH5ny H1pD+GFN0n2PAaiovFkAEEnlsLQGf8vlukFJ34F9G0CglVNDg+hvD4tDjZiq2iPJalES eL5d6Kwk34veQM9Plut/RBeOY5nNMaA4xhANEMNeNbACDqvBaBWA9DujEixXrXKM2ibL 4BVPDuNnL+YO39SLn0JK/lHiyzFMUz3UR6IpCDvbrlu7/4xc9cLuvbuYGw7AL3at//uG cpiD25fJ7mZVcsWkY+hUDrA7PifLaYDNYrcKSgXLeK1AH2p5G/VzIZRb5R+ZrRJFwyjA 9gSw==
MIME-Version: 1.0
Received: by 10.60.171.5 with SMTP id aq5mr14863865oec.34.1343079603860; Mon, 23 Jul 2012 14:40:03 -0700 (PDT)
Received: by 10.182.147.1 with HTTP; Mon, 23 Jul 2012 14:40:03 -0700 (PDT)
Date: Mon, 23 Jul 2012 16:40:03 -0500
Message-ID: <CAHBDyN576KwyXpCPW86=Foc6zU0ceh0O0fAXwAJfxzH24r494A@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=bcaec5523dccb173f404c5861665
Subject: [clue] Design Team meeting - July 24th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 23 Jul 2012 21:40:05 -0000

--bcaec5523dccb173f404c5861665
Content-Type: text/plain; charset=ISO-8859-1

The plans for tomorrow's meeting is to do another run through of the
materials for the tutorial.  We will focus on updates to the use cases,
framework and examples - the latter in particular since we were extremely
rushed to get through that on Friday.  Again, if folks can get me the
charts by 9am Central tomorrow, I'll get the package updated.  Hopefully,
this link will get you to the proceedings where I'll upload the updated
version:
https://datatracker.ietf.org/meeting/84/materials.html

It was mentioned on one of the calls that we should try to run through the
material live in Vancouver. I'm not sure how feasible that is. For me,
Sunday morning or Monday morning (before main CLUE meeting) are the only
time options that I have.  Monday morning is likely more feasible as the
secretariat would already have projectors in rooms and we could just use
the room where we will have the CLUE WG session.  That's not ideal for me
as I have to chair the DISPATCH WG meeting during the last session and have
the IAB plenary that night.

We can discuss briefly tomorrow and i'll do a doodle if folks like this
idea.

Mary.

--bcaec5523dccb173f404c5861665
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

The plans for tomorrow&#39;s meeting is to do another run through of the ma=
terials for the tutorial. =A0We will focus on updates to the use cases, fra=
mework and examples - the latter in particular since we were extremely rush=
ed to get through that on Friday. =A0Again, if folks can get me the charts =
by 9am Central tomorrow, I&#39;ll get the package updated. =A0Hopefully, th=
is link will get you to the proceedings where I&#39;ll upload the updated v=
ersion:<div>
<div><div><a href=3D"https://datatracker.ietf.org/meeting/84/materials.html=
">https://datatracker.ietf.org/meeting/84/materials.html</a></div><div><br>=
</div><div>It was mentioned on one of the calls that we should try to run t=
hrough the material live in Vancouver. I&#39;m not sure how feasible that i=
s. For me, Sunday morning or Monday morning (before main CLUE meeting) are =
the only time options that I have. =A0Monday morning is likely more feasibl=
e as the secretariat would already have projectors in rooms and we could ju=
st use the room where we will have the CLUE WG session. =A0That&#39;s not i=
deal for me as I have to chair the DISPATCH WG meeting during the last sess=
ion and have the IAB plenary that night. =A0</div>
<div><br></div><div>We can discuss briefly tomorrow and i&#39;ll do a doodl=
e if folks like this idea.</div><div><br></div><div>Mary.=A0</div></div></d=
iv>

--bcaec5523dccb173f404c5861665--

From pkyzivat@alum.mit.edu  Mon Jul 23 15:46:43 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id E828E11E80DE for <clue@ietfa.amsl.com>; Mon, 23 Jul 2012 15:46:43 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.354
X-Spam-Level: 
X-Spam-Status: No, score=-2.354 tagged_above=-999 required=5 tests=[AWL=0.245,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id eY2zIHgj6YRq for <clue@ietfa.amsl.com>; Mon, 23 Jul 2012 15:46:43 -0700 (PDT)
Received: from qmta03.westchester.pa.mail.comcast.net (qmta03.westchester.pa.mail.comcast.net [76.96.62.32]) by ietfa.amsl.com (Postfix) with ESMTP id 5A21111E80DC for <clue@ietf.org>; Mon, 23 Jul 2012 15:46:43 -0700 (PDT)
Received: from omta04.westchester.pa.mail.comcast.net ([76.96.62.35]) by qmta03.westchester.pa.mail.comcast.net with comcast id duqk1j00E0ldTLk53ymm16; Mon, 23 Jul 2012 22:46:46 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta04.westchester.pa.mail.comcast.net with comcast id dymg1j00D3ZTu2S3QymgHK; Mon, 23 Jul 2012 22:46:40 +0000
Message-ID: <500DD452.1060508@alum.mit.edu>
Date: Mon, 23 Jul 2012 18:46:42 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <CAHBDyN576KwyXpCPW86=Foc6zU0ceh0O0fAXwAJfxzH24r494A@mail.gmail.com>
In-Reply-To: <CAHBDyN576KwyXpCPW86=Foc6zU0ceh0O0fAXwAJfxzH24r494A@mail.gmail.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Design Team meeting - July 24th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 23 Jul 2012 22:46:44 -0000

On 7/23/12 5:40 PM, Mary Barnes wrote:

> It was mentioned on one of the calls that we should try to run through
> the material live in Vancouver. I'm not sure how feasible that is. For
> me, Sunday morning or Monday morning (before main CLUE meeting) are the
> only time options that I have.  Monday morning is likely more feasible
> as the secretariat would already have projectors in rooms and we could
> just use the room where we will have the CLUE WG session.  That's not
> ideal for me as I have to chair the DISPATCH WG meeting during the last
> session and have the IAB plenary that night.

It was "wishful thinking" on my part, while realizing it might not be 
feasible.

What I was thinking of was after the social sunday night. But I already 
have a conflict then, though I could probably break it if need be.

We had better make the run through tomorrow be a good one!

	Thanks,
	Paul

From Christian.Groves@nteczone.com  Mon Jul 23 16:59:40 2012
Return-Path: <Christian.Groves@nteczone.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 5CDC911E80F1 for <clue@ietfa.amsl.com>; Mon, 23 Jul 2012 16:59:40 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.499
X-Spam-Level: 
X-Spam-Status: No, score=-2.499 tagged_above=-999 required=5 tests=[AWL=0.100,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 1LQ6efh3oWuc for <clue@ietfa.amsl.com>; Mon, 23 Jul 2012 16:59:39 -0700 (PDT)
Received: from ipmail06.adl2.internode.on.net (ipmail06.adl2.internode.on.net [IPv6:2001:44b8:8060:ff02:300:1:2:6]) by ietfa.amsl.com (Postfix) with ESMTP id 7B4C611E80F6 for <clue@ietf.org>; Mon, 23 Jul 2012 16:59:39 -0700 (PDT)
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: ApIBAFLkDVB20TCI/2dsb2JhbAANOL1IGyU9FhgDAgECAUsNCAEBsGqTYpIgA6hH
Received: from ppp118-209-48-136.lns20.mel4.internode.on.net (HELO [127.0.0.1]) ([118.209.48.136]) by ipmail06.adl2.internode.on.net with ESMTP; 24 Jul 2012 09:29:38 +0930
Message-ID: <500DE568.1030909@nteczone.com>
Date: Tue, 24 Jul 2012 09:59:36 +1000
From: Christian Groves <Christian.Groves@nteczone.com>
User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:14.0) Gecko/20120713 Thunderbird/14.0
MIME-Version: 1.0
To: "clue@ietf.org" <clue@ietf.org>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: [clue] Capture Scene Entry question
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 23 Jul 2012 23:59:40 -0000

Hello all,

In reading the framework document I'm having trouble understanding 
exactly what a "Capture Scene Entry" is. In the framework it is defined as:
/*Capture Scene Entry: a list of media captures of the same media type
    that together form one way to represent the capture scene./

it also says:
/A media provider arranges media captures in a capture scene to help
    the media consumer choose which captures it wants.  The capture scene
    entries in a capture scene are different alternatives the provider is
    suggesting for representing the capture scene./

I'm wondering how people interpret "one way" and "different alternatives"?
You could interpret this as meaning that each "Capture Scene Entry" 
shows an entire scene, or you could interpret this as meaning that each 
"Capture Scene Entry" could show part of the overall scene.

At least from my reading of the framework both interpretations are 
allowed. Is there a preferred interpretation?
For example: if VC1,VC2,VC3 are three main cameras, VC4 is an camera 
that automatically zooms in on the active speaker. I could construct a 
capture scenes with one or two capture scene entries:
+------------------+
| Capture Scene #1 |
+------------------+
| VC1, VC2, VC3    |
| VC4              |
+------------------+
or
+--------------------+
| Capture Scene #1   |
+--------------------+
| VC1, VC2, VC3, VC4 |
+--------------------+

What are people's thoughts?

Regards, Christian

From pkyzivat@alum.mit.edu  Mon Jul 23 17:10:52 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 838DF11E80F6 for <clue@ietfa.amsl.com>; Mon, 23 Jul 2012 17:10:52 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.359
X-Spam-Level: 
X-Spam-Status: No, score=-2.359 tagged_above=-999 required=5 tests=[AWL=0.240,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id OQs+jBL4S59H for <clue@ietfa.amsl.com>; Mon, 23 Jul 2012 17:10:50 -0700 (PDT)
Received: from qmta14.westchester.pa.mail.comcast.net (qmta14.westchester.pa.mail.comcast.net [76.96.59.212]) by ietfa.amsl.com (Postfix) with ESMTP id BA7BB11E808E for <clue@ietf.org>; Mon, 23 Jul 2012 17:10:47 -0700 (PDT)
Received: from omta21.westchester.pa.mail.comcast.net ([76.96.62.72]) by qmta14.westchester.pa.mail.comcast.net with comcast id e0871j0031ZXKqc5E0AqNa; Tue, 24 Jul 2012 00:10:50 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta21.westchester.pa.mail.comcast.net with comcast id e0BB1j00A3ZTu2S3h0BB56; Tue, 24 Jul 2012 00:11:11 +0000
Message-ID: <500DE806.8050101@alum.mit.edu>
Date: Mon, 23 Jul 2012 20:10:46 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <500DE568.1030909@nteczone.com>
In-Reply-To: <500DE568.1030909@nteczone.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Capture Scene Entry question
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 24 Jul 2012 00:10:53 -0000

[as individual]

On 7/23/12 7:59 PM, Christian Groves wrote:
> Hello all,
>
> In reading the framework document I'm having trouble understanding
> exactly what a "Capture Scene Entry" is. In the framework it is defined as:
> /*Capture Scene Entry: a list of media captures of the same media type
> that together form one way to represent the capture scene./
>
> it also says:
> /A media provider arranges media captures in a capture scene to help
> the media consumer choose which captures it wants. The capture scene
> entries in a capture scene are different alternatives the provider is
> suggesting for representing the capture scene./
>
> I'm wondering how people interpret "one way" and "different alternatives"?
> You could interpret this as meaning that each "Capture Scene Entry"
> shows an entire scene, or you could interpret this as meaning that each
> "Capture Scene Entry" could show part of the overall scene.
>
> At least from my reading of the framework both interpretations are
> allowed. Is there a preferred interpretation?
> For example: if VC1,VC2,VC3 are three main cameras, VC4 is an camera
> that automatically zooms in on the active speaker. I could construct a
> capture scenes with one or two capture scene entries:
> +------------------+
> | Capture Scene #1 |
> +------------------+
> | VC1, VC2, VC3 |
> | VC4 |
> +------------------+
> or
> +--------------------+
> | Capture Scene #1 |
> +--------------------+
> | VC1, VC2, VC3, VC4 |
> +--------------------+
>
> What are people's thoughts?

As described above, VC4 is functionally similar to a switched capture 
that switches between VC1,VC2,VC3. (But I don't know if it is similar 
*enough* to label it as a switched capture. Without some such label the 
receiver won't realize what sort of thing it is getting.)

As such, this seems a valid way to construct entries.

But suppose the scene represents a classroom situation, with VC1,VC2,VC3 
representing the "students" and VC4 represents the "teacher". In that 
case, I think its necessary to place all four into one entry. Putting 
VC1,VC2,VC3 in one entry, and VC4 in another would mean that each only 
provides a partial view of the scene. And so I would think that was not 
a valid usage.

I went back to the framework to see if it was clear about this. IMO it 
isn't.

	Thanks,
	Paul

From Mark.Duckworth@polycom.com  Tue Jul 24 04:25:45 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id AE82621F863B for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 04:25:45 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.481
X-Spam-Level: 
X-Spam-Status: No, score=-6.481 tagged_above=-999 required=5 tests=[AWL=0.118,  BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id rE9hyLT1zwMs for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 04:25:44 -0700 (PDT)
Received: from crpehubprd02.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id 26A3321F8638 for <clue@ietf.org>; Tue, 24 Jul 2012 04:25:43 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::e001:c7b0:91a1:9443]) by crpehubprd02.polycom.com ([fe80::5efe:10.236.0.154%12]) with mapi; Tue, 24 Jul 2012 04:25:38 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Tue, 24 Jul 2012 04:25:36 -0700
Thread-Topic: [clue] Capture Scene Entry question
Thread-Index: Ac1pMM6Z8jC2FojxRzuuXACrZifulQAXNLRg
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A61038F466790@CRPMBOXPRD01.polycom.com>
References: <500DE568.1030909@nteczone.com> <500DE806.8050101@alum.mit.edu>
In-Reply-To: <500DE806.8050101@alum.mit.edu>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] Capture Scene Entry question
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 24 Jul 2012 11:25:46 -0000

Christian,
Your first example capture scene, with two separate entries, is exactly the=
 sort of thing intended by the framework.  The first entry (VC1, VC2, VC3) =
is one good alternative for representing the scene, and the second entry (V=
C4) is another good alternative.

But there shouldn't be anything stopping you from advertising your second e=
xample, with (VC1, VC2, VC3, VC4) all in the same entry.  But this entry by=
 itself is not helpful for a consumer that doesn't want to (or can't) recei=
ve all four captures.

Paul,
Your classroom suggestion makes sense.  But the provider might also want to=
 advertise capture scene entries with fewer captures per entry in order to =
suggest which captures a more limited consumer might find most useful.
Another possible way to do it is to put the students in one scene and the t=
eacher in another scene.

Mark

> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of P=
aul
> Kyzivat
> Sent: Monday, July 23, 2012 8:11 PM
> To: clue@ietf.org
> Subject: Re: [clue] Capture Scene Entry question
>=20
> [as individual]
>=20
> On 7/23/12 7:59 PM, Christian Groves wrote:
> > Hello all,
> >
> > In reading the framework document I'm having trouble understanding
> > exactly what a "Capture Scene Entry" is. In the framework it is defined=
 as:
> > /*Capture Scene Entry: a list of media captures of the same media type
> > that together form one way to represent the capture scene./
> >
> > it also says:
> > /A media provider arranges media captures in a capture scene to help
> > the media consumer choose which captures it wants. The capture scene
> > entries in a capture scene are different alternatives the provider is
> > suggesting for representing the capture scene./
> >
> > I'm wondering how people interpret "one way" and "different alternative=
s"?
> > You could interpret this as meaning that each "Capture Scene Entry"
> > shows an entire scene, or you could interpret this as meaning that
> > each "Capture Scene Entry" could show part of the overall scene.
> >
> > At least from my reading of the framework both interpretations are
> > allowed. Is there a preferred interpretation?
> > For example: if VC1,VC2,VC3 are three main cameras, VC4 is an camera
> > that automatically zooms in on the active speaker. I could construct a
> > capture scenes with one or two capture scene entries:
> > +------------------+
> > | Capture Scene #1 |
> > +------------------+
> > | VC1, VC2, VC3 |
> > | VC4 |
> > +------------------+
> > or
> > +--------------------+
> > | Capture Scene #1 |
> > +--------------------+
> > | VC1, VC2, VC3, VC4 |
> > +--------------------+
> >
> > What are people's thoughts?
>=20
> As described above, VC4 is functionally similar to a switched capture tha=
t
> switches between VC1,VC2,VC3. (But I don't know if it is similar
> *enough* to label it as a switched capture. Without some such label the r=
eceiver
> won't realize what sort of thing it is getting.)
>=20
> As such, this seems a valid way to construct entries.
>=20
> But suppose the scene represents a classroom situation, with VC1,VC2,VC3
> representing the "students" and VC4 represents the "teacher". In that cas=
e, I
> think its necessary to place all four into one entry. Putting
> VC1,VC2,VC3 in one entry, and VC4 in another would mean that each only
> provides a partial view of the scene. And so I would think that was not a=
 valid
> usage.
>=20
> I went back to the framework to see if it was clear about this. IMO it is=
n't.
>=20
> 	Thanks,
> 	Paul
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue

From stewe@stewe.org  Tue Jul 24 05:01:31 2012
Return-Path: <stewe@stewe.org>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id EB7B621F862A for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 05:01:31 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.656
X-Spam-Level: 
X-Spam-Status: No, score=-3.656 tagged_above=-999 required=5 tests=[AWL=-0.058, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id Ji4o64MRukm5 for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 05:01:31 -0700 (PDT)
Received: from co1outboundpool.messaging.microsoft.com (co1ehsobe004.messaging.microsoft.com [216.32.180.187]) by ietfa.amsl.com (Postfix) with ESMTP id 1912321F8629 for <clue@ietf.org>; Tue, 24 Jul 2012 05:01:30 -0700 (PDT)
Received: from mail4-co1-R.bigfish.com (10.243.78.232) by CO1EHSOBE002.bigfish.com (10.243.66.65) with Microsoft SMTP Server id 14.1.225.23; Tue, 24 Jul 2012 12:01:30 +0000
Received: from mail4-co1 (localhost [127.0.0.1])	by mail4-co1-R.bigfish.com (Postfix) with ESMTP id 4D020C000D0; Tue, 24 Jul 2012 12:01:30 +0000 (UTC)
X-Forefront-Antispam-Report: CIP:157.56.240.133; KIP:(null); UIP:(null); IPV:NLI; H:BL2PRD0710HT005.namprd07.prod.outlook.com; RD:none; EFVD:NLI
X-SpamScore: 4
X-BigFish: PS4(zzc85fh19feI14ffIzz1202h1082kzz8275bhz2fh2a8h668h839he5bhf0ah107ahbe3k)
Received-SPF: pass (mail4-co1: domain of stewe.org designates 157.56.240.133 as permitted sender) client-ip=157.56.240.133; envelope-from=stewe@stewe.org; helo=BL2PRD0710HT005.namprd07.prod.outlook.com ; .outlook.com ; 
Received: from mail4-co1 (localhost.localdomain [127.0.0.1]) by mail4-co1 (MessageSwitch) id 1343131287831337_5055; Tue, 24 Jul 2012 12:01:27 +0000 (UTC)
Received: from CO1EHSMHS013.bigfish.com (unknown [10.243.78.239])	by mail4-co1.bigfish.com (Postfix) with ESMTP id 6C553AC021C; Tue, 24 Jul 2012 12:01:27 +0000 (UTC)
Received: from BL2PRD0710HT005.namprd07.prod.outlook.com (157.56.240.133) by CO1EHSMHS013.bigfish.com (10.243.66.23) with Microsoft SMTP Server (TLS) id 14.1.225.23; Tue, 24 Jul 2012 12:01:25 +0000
Received: from BL2PRD0710MB349.namprd07.prod.outlook.com ([169.254.1.156]) by BL2PRD0710HT005.namprd07.prod.outlook.com ([10.255.102.40]) with mapi id 14.16.0175.005; Tue, 24 Jul 2012 12:01:24 +0000
From: Stephan Wenger <stewe@stewe.org>
To: "clue@ietf.org" <clue@ietf.org>
Thread-Topic: Open Ticket 5 - composed captures
Thread-Index: AQHNaZQLnG2BQtWzhUiF9mphghnXjA==
Date: Tue, 24 Jul 2012 12:01:22 +0000
Message-ID: <CC33DC9F.89743%stewe@stewe.org>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.255.102.5]
Content-Type: multipart/alternative; boundary="_000_CC33DC9F89743stewesteweorg_"
MIME-Version: 1.0
X-OriginatorOrg: stewe.org
Subject: [clue] Open Ticket 5 - composed captures
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 24 Jul 2012 12:01:32 -0000

--_000_CC33DC9F89743stewesteweorg_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

Hi all,

I had some private conversations with Steve and Mark about composed picture=
s.  They offered me time from the framework timeslot in the hopes that we c=
an close the subject.  Thank you again.  However, I think we can close it e=
ven on the list:

To refresh everyone's memory, my proposal has been to include (optionally) =
in the description of a composed video capture those attributes that are ne=
eded to decompose the capture in order to forward (after re-encoding) the t=
iles of an MCU-generated, tiled image as individual streams.  I continue to=
 believe that this use case is valid.  However, after thinking a bit more, =
I now believe that CLUE may not be the right protocol mechanism to convey t=
he information necessary for decomposition, for example the coordinates of =
each tile in the composed picture.  The reason is that CLUE is not a real t=
ime protocol synchronized with the video bitstream.  In many (most?) practi=
cal MCU based sessions, there is some form of real-time image swapping, voi=
ce activated or otherwise.

Decomposition of such sessions with protocol means not synchronized with th=
e video (at a single frame accuracy, i.e. 1/60th of a second) will lead to =
annoying artifacts at the receivers end.  I don't believe that the CLUE pro=
tocol will ever have such a real-time property.  Therefore, the appropriate=
 place for de-composition information is not in a CLUE protocol transaction=
, but in something synchronized with video, most likely in-band as a Supple=
mentary Enhancement Information (SEI) message.

Unless someone else points out an error in this train of thought, I'm OK wi=
th a single flag per capture indicating a composed capture for CLUE's first=
 version.  I will also think about an appropriate SEI message format that c=
ould be suggested to the video standards bodies such as VCEG and MPEG.

Thoughts?

See you soon in YVR,
Stephan

--_000_CC33DC9F89743stewesteweorg_
Content-Type: text/html; charset="us-ascii"
Content-ID: <6F05A35D2E42954C817D95FDF8AE8B49@namprd07.prod.outlook.com>
Content-Transfer-Encoding: quoted-printable

<html>
<head>
<meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"=
>
</head>
<body style=3D"word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-lin=
e-break: after-white-space; color: rgb(0, 0, 0); font-size: 14px; font-fami=
ly: Calibri, sans-serif; ">
<div>Hi all,</div>
<div><br>
</div>
<div>I had some private conversations with Steve and Mark about composed pi=
ctures. &nbsp;They offered me time from the framework timeslot in the hopes=
 that we can close the subject. &nbsp;Thank you again. &nbsp;However, I thi=
nk we can close it even on the list:</div>
<div><br>
</div>
<div>To refresh everyone's memory, my proposal has been to include (optiona=
lly) in the description of a composed video capture those attributes that a=
re needed to decompose the capture in order to forward (after re-encoding) =
the tiles of an MCU-generated, tiled
 image as individual streams. &nbsp;I continue to believe that this use cas=
e is valid. &nbsp;However, after thinking a bit more, I now believe that CL=
UE may not be the right protocol mechanism to convey the information necess=
ary for decomposition, for example the coordinates
 of each tile in the composed picture. &nbsp;The reason is that CLUE is not=
 a real time protocol synchronized with the video bitstream. &nbsp;In many =
(most?) practical MCU based sessions, there is some form of real-time image=
 swapping, voice activated or otherwise.&nbsp;</div>
<div><br>
</div>
<div>Decomposition of such sessions with protocol means not synchronized wi=
th the video (at a single frame accuracy, i.e. 1/60th of a second) will lea=
d to annoying artifacts at the receivers end. &nbsp;I don't believe that th=
e CLUE protocol will ever have such a
 real-time property. &nbsp;Therefore, the appropriate place for de-composit=
ion information is not in a CLUE protocol transaction, but in something syn=
chronized with video, most likely in-band as a Supplementary Enhancement In=
formation (SEI) message.</div>
<div><br>
</div>
<div>Unless someone else points out an error in this train of thought, I'm =
OK with a single flag per capture indicating a composed capture for CLUE's =
first version. &nbsp;I will also think about an appropriate SEI message for=
mat that could be suggested to the video
 standards bodies such as VCEG and MPEG.</div>
<div><br>
</div>
<div>Thoughts?</div>
<div><br>
</div>
<div>See you soon in YVR,</div>
<div>Stephan</div>
</body>
</html>

--_000_CC33DC9F89743stewesteweorg_--

From ron.even.tlv@gmail.com  Tue Jul 24 05:31:18 2012
Return-Path: <ron.even.tlv@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 2C8A621F85D7 for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 05:31:18 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.486
X-Spam-Level: 
X-Spam-Status: No, score=-3.486 tagged_above=-999 required=5 tests=[AWL=0.112,  BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id D1HhFHGPl+8w for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 05:31:17 -0700 (PDT)
Received: from mail-bk0-f44.google.com (mail-bk0-f44.google.com [209.85.214.44]) by ietfa.amsl.com (Postfix) with ESMTP id ED58A21F85C6 for <clue@ietf.org>; Tue, 24 Jul 2012 05:31:16 -0700 (PDT)
Received: by bkty7 with SMTP id y7so5960983bkt.31 for <clue@ietf.org>; Tue, 24 Jul 2012 05:31:15 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=from:to:references:in-reply-to:subject:date:message-id:mime-version :content-type:x-mailer:thread-index:content-language; bh=alxQyXdWdtZRbGAFXZqwHQAACcUL8lN1arS3TTGiLSU=; b=N29XP9HBgrebcjtu8/IQY8sM8CjbuGc4fLsQqg4XBRP9bwQ1ngKfBnfZd9BOqZou6e 6hlYXFc8lA04VDvypSjMlCQdWEXR2AgHskhhr/pS59y3YPiXECsu5RqHdAzhkyCBLeGH gkTh2+rQVyDfrAAnp53dBPZWiBUOWSXcg0ywaVFgizc7eZxJm56I0nXzNHS8KfdZBMr9 JHnaO7CIWo69dIgf4Ya73I59MSnChg+E+rR374v08hNkR4shoz3o0kT0vvkGJFzHLAxa z86sorTIp1viKeeSVJkABqzEscd8Ulq5A3dk+qvSimVH9BL+qY/A1p8ba5poi6Mg4xeK QJZQ==
Received: by 10.204.148.83 with SMTP id o19mr9898015bkv.74.1343133075703; Tue, 24 Jul 2012 05:31:15 -0700 (PDT)
Received: from RoniE (bzq-79-176-214-12.red.bezeqint.net. [79.176.214.12]) by mx.google.com with ESMTPS id o4sm10648788bkv.15.2012.07.24.05.31.13 (version=TLSv1/SSLv3 cipher=OTHER); Tue, 24 Jul 2012 05:31:14 -0700 (PDT)
From: "Roni Even" <ron.even.tlv@gmail.com>
To: "'Stephan Wenger'" <stewe@stewe.org>, <clue@ietf.org>
References: <CC33DC9F.89743%stewe@stewe.org>
In-Reply-To: <CC33DC9F.89743%stewe@stewe.org>
Date: Tue, 24 Jul 2012 15:30:16 +0200
Message-ID: <00dd01cd69a0$77b18960$67149c20$@gmail.com>
MIME-Version: 1.0
Content-Type: multipart/alternative; boundary="----=_NextPart_000_00DE_01CD69B1.3B3B43C0"
X-Mailer: Microsoft Outlook 14.0
Thread-Index: AQIK45OL8QVmk8pMDVpe1X5ETo0EyJa9dwGw
Content-Language: en-us
Subject: Re: [clue] Open Ticket 5 - composed captures
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 24 Jul 2012 12:31:18 -0000

This is a multipart message in MIME format.

------=_NextPart_000_00DE_01CD69B1.3B3B43C0
Content-Type: text/plain;
	charset="us-ascii"
Content-Transfer-Encoding: 7bit

Hi Stephan,

I agree with your view about decomposition a mixed captures to individual
tiles. I am not sure about SEI message if we want this for any codec, maybe
RTP header extension is another way.

As for the use case you described, I think that people are looking at using
SVC to send a mixed image that can be decomposed easily. 

 

This will still leave open the issue of which source  is in the current mix
and in in which tile, which is what I think what others had in mind when
discussing composed capture description.

 

Roni

 

From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
Stephan Wenger
Sent: 24 July, 2012 2:01 PM
To: clue@ietf.org
Subject: [clue] Open Ticket 5 - composed captures

 

Hi all,

 

I had some private conversations with Steve and Mark about composed
pictures.  They offered me time from the framework timeslot in the hopes
that we can close the subject.  Thank you again.  However, I think we can
close it even on the list:

 

To refresh everyone's memory, my proposal has been to include (optionally)
in the description of a composed video capture those attributes that are
needed to decompose the capture in order to forward (after re-encoding) the
tiles of an MCU-generated, tiled image as individual streams.  I continue to
believe that this use case is valid.  However, after thinking a bit more, I
now believe that CLUE may not be the right protocol mechanism to convey the
information necessary for decomposition, for example the coordinates of each
tile in the composed picture.  The reason is that CLUE is not a real time
protocol synchronized with the video bitstream.  In many (most?) practical
MCU based sessions, there is some form of real-time image swapping, voice
activated or otherwise. 

 

Decomposition of such sessions with protocol means not synchronized with the
video (at a single frame accuracy, i.e. 1/60th of a second) will lead to
annoying artifacts at the receivers end.  I don't believe that the CLUE
protocol will ever have such a real-time property.  Therefore, the
appropriate place for de-composition information is not in a CLUE protocol
transaction, but in something synchronized with video, most likely in-band
as a Supplementary Enhancement Information (SEI) message.

 

Unless someone else points out an error in this train of thought, I'm OK
with a single flag per capture indicating a composed capture for CLUE's
first version.  I will also think about an appropriate SEI message format
that could be suggested to the video standards bodies such as VCEG and MPEG.

 

Thoughts?

 

See you soon in YVR,

Stephan


------=_NextPart_000_00DE_01CD69B1.3B3B43C0
Content-Type: text/html;
	charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" =
xmlns:o=3D"urn:schemas-microsoft-com:office:office" =
xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" =
xmlns=3D"http://www.w3.org/TR/REC-html40"><head><meta =
http-equiv=3DContent-Type content=3D"text/html; =
charset=3Dus-ascii"><meta name=3DGenerator content=3D"Microsoft Word 14 =
(filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
span.EmailStyle17
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-size:10.0pt;}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.25in 1.0in 1.25in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue =
vlink=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Hi Stephan,<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>I agree with your view about decomposition a mixed captures to =
individual tiles. I am not sure about SEI message if we want this for =
any codec, maybe RTP header extension is another =
way.<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>As for the use case you described, I think that people are looking at =
using SVC to send a mixed image that can be decomposed easily. =
<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>This will still leave open the issue of which source &nbsp;is in the =
current mix and in in which tile, which is what I think what others had =
in mind when discussing composed capture =
description.<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Roni<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><div><div =
style=3D'border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in'><p class=3DMsoNormal><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span>=
</b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] <b>On Behalf Of =
</b>Stephan Wenger<br><b>Sent:</b> 24 July, 2012 2:01 PM<br><b>To:</b> =
clue@ietf.org<br><b>Subject:</b> [clue] Open Ticket 5 - composed =
captures<o:p></o:p></span></p></div></div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><div><p class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'=
>Hi all,<o:p></o:p></span></p></div><div><p class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'=
><o:p>&nbsp;</o:p></span></p></div><div><p class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'=
>I had some private conversations with Steve and Mark about composed =
pictures. &nbsp;They offered me time from the framework timeslot in the =
hopes that we can close the subject. &nbsp;Thank you again. =
&nbsp;However, I think we can close it even on the =
list:<o:p></o:p></span></p></div><div><p class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'=
><o:p>&nbsp;</o:p></span></p></div><div><p class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'=
>To refresh everyone's memory, my proposal has been to include =
(optionally) in the description of a composed video capture those =
attributes that are needed to decompose the capture in order to forward =
(after re-encoding) the tiles of an MCU-generated, tiled image as =
individual streams. &nbsp;I continue to believe that this use case is =
valid. &nbsp;However, after thinking a bit more, I now believe that CLUE =
may not be the right protocol mechanism to convey the information =
necessary for decomposition, for example the coordinates of each tile in =
the composed picture. &nbsp;The reason is that CLUE is not a real time =
protocol synchronized with the video bitstream. &nbsp;In many (most?) =
practical MCU based sessions, there is some form of real-time image =
swapping, voice activated or =
otherwise.&nbsp;<o:p></o:p></span></p></div><div><p =
class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'=
><o:p>&nbsp;</o:p></span></p></div><div><p class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'=
>Decomposition of such sessions with protocol means not synchronized =
with the video (at a single frame accuracy, i.e. 1/60th of a second) =
will lead to annoying artifacts at the receivers end. &nbsp;I don't =
believe that the CLUE protocol will ever have such a real-time property. =
&nbsp;Therefore, the appropriate place for de-composition information is =
not in a CLUE protocol transaction, but in something synchronized with =
video, most likely in-band as a Supplementary Enhancement Information =
(SEI) message.<o:p></o:p></span></p></div><div><p =
class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'=
><o:p>&nbsp;</o:p></span></p></div><div><p class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'=
>Unless someone else points out an error in this train of thought, I'm =
OK with a single flag per capture indicating a composed capture for =
CLUE's first version. &nbsp;I will also think about an appropriate SEI =
message format that could be suggested to the video standards bodies =
such as VCEG and MPEG.<o:p></o:p></span></p></div><div><p =
class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'=
><o:p>&nbsp;</o:p></span></p></div><div><p class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'=
>Thoughts?<o:p></o:p></span></p></div><div><p class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'=
><o:p>&nbsp;</o:p></span></p></div><div><p class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'=
>See you soon in YVR,<o:p></o:p></span></p></div><div><p =
class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'=
>Stephan<o:p></o:p></span></p></div></div></body></html>
------=_NextPart_000_00DE_01CD69B1.3B3B43C0--


From Mark.Duckworth@polycom.com  Tue Jul 24 05:50:04 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 77B7021F84CF for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 05:50:04 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.49
X-Spam-Level: 
X-Spam-Status: No, score=-6.49 tagged_above=-999 required=5 tests=[AWL=0.108,  BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id G9s5W+V4GNeu for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 05:50:04 -0700 (PDT)
Received: from Crpehubprd01.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id 03A3821F84A1 for <clue@ietf.org>; Tue, 24 Jul 2012 05:50:03 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::e001:c7b0:91a1:9443]) by Crpehubprd01.polycom.com ([fe80::5efe:10.236.0.158%14]) with mapi; Tue, 24 Jul 2012 05:50:03 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Tue, 24 Jul 2012 05:50:01 -0700
Thread-Topic: Can we close Ticket #9 axis of capture?
Thread-Index: Ac1pmkj/Mep23ZvkThWd933nZeWR7A==
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A61038F4667C2@CRPMBOXPRD01.polycom.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: multipart/alternative; boundary="_000_44C6B6B2D0CF424AA90B6055548D7A61038F4667C2CRPMBOXPRD01p_"
MIME-Version: 1.0
Subject: [clue] Can we close Ticket #9 axis of capture?
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 24 Jul 2012 12:50:04 -0000

--_000_44C6B6B2D0CF424AA90B6055548D7A61038F4667C2CRPMBOXPRD01p_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

We recently added an attribute in the framework to address Ticket #9 Axis o=
f capture description<http://trac.tools.ietf.org/wg/clue/trac/ticket/9>.  T=
here were some suggestions and discussion on the email list about changing =
some details of the text.  But it seems there was no consensus to change an=
ything.  So can we close this ticket and keep the text as is?  Personally, =
that is my preference.

Mark

--_000_44C6B6B2D0CF424AA90B6055548D7A61038F4667C2CRPMBOXPRD01p_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:dt=3D"uuid:C2F41010-65B3-11d1-A29F-00AA00C14882" xmlns:m=3D"http://sc=
hemas.microsoft.com/office/2004/12/omml" xmlns=3D"http://www.w3.org/TR/REC-=
html40"><head><meta http-equiv=3DContent-Type content=3D"text/html; charset=
=3Dus-ascii"><meta name=3DGenerator content=3D"Microsoft Word 14 (filtered =
medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:11.0pt;
	font-family:"Calibri","sans-serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
span.EmailStyle17
	{mso-style-type:personal-compose;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue vli=
nk=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal>We recently adde=
d an attribute in the framework to address <a href=3D"http://trac.tools.iet=
f.org/wg/clue/trac/ticket/9">Ticket #9 Axis of capture description</a>.&nbs=
p; There were some suggestions and discussion on the email list about chang=
ing some details of the text.&nbsp; But it seems there was no consensus to =
change anything.&nbsp; So can we close this ticket and keep the text as is?=
&nbsp; Personally, that is my preference.<o:p></o:p></p><p class=3DMsoNorma=
l><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>Mark<o:p></o:p></p></div></body=
></html>=

--_000_44C6B6B2D0CF424AA90B6055548D7A61038F4667C2CRPMBOXPRD01p_--

From espeberg@cisco.com  Tue Jul 24 05:55:30 2012
Return-Path: <espeberg@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 1109E21F8631 for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 05:55:30 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.598
X-Spam-Level: 
X-Spam-Status: No, score=-10.598 tagged_above=-999 required=5 tests=[AWL=-0.000, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id NCTXGy+shLm3 for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 05:55:29 -0700 (PDT)
Received: from rcdn-iport-7.cisco.com (rcdn-iport-7.cisco.com [173.37.86.78]) by ietfa.amsl.com (Postfix) with ESMTP id A8AC621F862B for <clue@ietf.org>; Tue, 24 Jul 2012 05:55:28 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=espeberg@cisco.com; l=23219; q=dns/txt; s=iport; t=1343134528; x=1344344128; h=from:to:subject:date:message-id:references:in-reply-to: mime-version; bh=SlAYvh6LUNYLdF6QNKKax7GWhYsYOZLb8sbpeZKDhcg=; b=cDbHTgdWQAuphXlpLr5ljXZUnu3eipB5ybpSCKIuFplxvltdDtEAeUO7 I/EpxX8n/vhkz5rppa7jRUmNszP6JJhzUKMpSOemUwePwOhQcg+Msnnw0 dcDarfcDvxyFbesIQqMN4mfzL8QdJ63PbQeaFNV5B0f5ktCfDoINP/qjU c=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: AhAFAC6aDlCtJV2Y/2dsb2JhbABFgkquFQGJC4EHgiABAQEEEgEaXAIBCA4DBAEBCxYHBzIUCQgCBAESCBqHawubE6A7i0okhXBgA5ZdjROBZoJf
X-IronPort-AV: E=Sophos;i="4.77,646,1336348800";  d="scan'208,217";a="104753064"
Received: from rcdn-core-1.cisco.com ([173.37.93.152]) by rcdn-iport-7.cisco.com with ESMTP; 24 Jul 2012 12:55:28 +0000
Received: from xhc-rcd-x15.cisco.com (xhc-rcd-x15.cisco.com [173.37.183.89]) by rcdn-core-1.cisco.com (8.14.5/8.14.5) with ESMTP id q6OCtSAf004332 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Tue, 24 Jul 2012 12:55:28 GMT
Received: from xmb-rcd-x11.cisco.com ([169.254.1.95]) by xhc-rcd-x15.cisco.com ([173.37.183.89]) with mapi id 14.02.0298.004; Tue, 24 Jul 2012 07:55:27 -0500
From: "Espen Berger (espeberg)" <espeberg@cisco.com>
To: Roni Even <ron.even.tlv@gmail.com>, "'Stephan Wenger'" <stewe@stewe.org>,  "clue@ietf.org" <clue@ietf.org>
Thread-Topic: [clue] Open Ticket 5 - composed captures
Thread-Index: AQHNaZQLnG2BQtWzhUiF9mphghnXjJc4wZUA//+b/uA=
Date: Tue, 24 Jul 2012 12:55:26 +0000
Message-ID: <E8F5F2C7B2623641BD9ABF0B622D726D0235A9@xmb-rcd-x11.cisco.com>
References: <CC33DC9F.89743%stewe@stewe.org> <00dd01cd69a0$77b18960$67149c20$@gmail.com>
In-Reply-To: <00dd01cd69a0$77b18960$67149c20$@gmail.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.147.112.46]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19060.004
x-tm-as-result: No--62.421400-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: multipart/alternative; boundary="_000_E8F5F2C7B2623641BD9ABF0B622D726D0235A9xmbrcdx11ciscocom_"
MIME-Version: 1.0
Subject: Re: [clue] Open Ticket 5 - composed captures
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 24 Jul 2012 12:55:30 -0000

--_000_E8F5F2C7B2623641BD9ABF0B622D726D0235A9xmbrcdx11ciscocom_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

For composed streams I remember we have discussed these use cases

*         UC-0; As an endpoint I want to choose captures from an MCU with o=
r without composition enabled. If composition is enabled the MCU is free to=
 implement any custom layout the MCU think is good, with composition disabl=
ed the receiver expect each capture to be a single participant and single s=
egment.

*         UC-1; As an endpoint I want to know which composed layout the MCU=
 supports, e.g. a named list of layout with a descriptive text similar to t=
he video-layout element in XCON. [1]

*         UC-2: As an endpoint I want to request a composed capture with a =
preferred layout based on an available list, without a preference the MCU  =
is free to choose a layout that works nicely with the connected participant=
s and captures available.

*         UC-3; As an endpoint I want to receive information about the cont=
ent of a composed capture and receive updates when the composition changes.

UC-0 only requires CLUE to have a Boolean to enable/disable composed layout=
s, which I think is sufficient for CLUE version 1.

The remaining use cases are also valid for related IETF standards like XCON=
. I do think that the CLUE protocol must be extensible (as stated in the ch=
arter) and allow for integration with another protocol for layout control o=
r as a vendor extension to CLUE.

Cheers

-Espen

[1] XCON data model, http://tools.ietf.org/html/rfc6501


From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Ron=
i Even
Sent: 24. juli 2012 15:30
To: 'Stephan Wenger'; clue@ietf.org
Subject: Re: [clue] Open Ticket 5 - composed captures

Hi Stephan,
I agree with your view about decomposition a mixed captures to individual t=
iles. I am not sure about SEI message if we want this for any codec, maybe =
RTP header extension is another way.
As for the use case you described, I think that people are looking at using=
 SVC to send a mixed image that can be decomposed easily.

This will still leave open the issue of which source  is in the current mix=
 and in in which tile, which is what I think what others had in mind when d=
iscussing composed capture description.

Roni

From: clue-bounces@ietf.org<mailto:clue-bounces@ietf.org> [mailto:clue-boun=
ces@ietf.org]<mailto:[mailto:clue-bounces@ietf.org]> On Behalf Of Stephan W=
enger
Sent: 24 July, 2012 2:01 PM
To: clue@ietf.org<mailto:clue@ietf.org>
Subject: [clue] Open Ticket 5 - composed captures

Hi all,

I had some private conversations with Steve and Mark about composed picture=
s.  They offered me time from the framework timeslot in the hopes that we c=
an close the subject.  Thank you again.  However, I think we can close it e=
ven on the list:

To refresh everyone's memory, my proposal has been to include (optionally) =
in the description of a composed video capture those attributes that are ne=
eded to decompose the capture in order to forward (after re-encoding) the t=
iles of an MCU-generated, tiled image as individual streams.  I continue to=
 believe that this use case is valid.  However, after thinking a bit more, =
I now believe that CLUE may not be the right protocol mechanism to convey t=
he information necessary for decomposition, for example the coordinates of =
each tile in the composed picture.  The reason is that CLUE is not a real t=
ime protocol synchronized with the video bitstream.  In many (most?) practi=
cal MCU based sessions, there is some form of real-time image swapping, voi=
ce activated or otherwise.

Decomposition of such sessions with protocol means not synchronized with th=
e video (at a single frame accuracy, i.e. 1/60th of a second) will lead to =
annoying artifacts at the receivers end.  I don't believe that the CLUE pro=
tocol will ever have such a real-time property.  Therefore, the appropriate=
 place for de-composition information is not in a CLUE protocol transaction=
, but in something synchronized with video, most likely in-band as a Supple=
mentary Enhancement Information (SEI) message.

Unless someone else points out an error in this train of thought, I'm OK wi=
th a single flag per capture indicating a composed capture for CLUE's first=
 version.  I will also think about an appropriate SEI message format that c=
ould be suggested to the video standards bodies such as VCEG and MPEG.

Thoughts?

See you soon in YVR,
Stephan

--_000_E8F5F2C7B2623641BD9ABF0B622D726D0235A9xmbrcdx11ciscocom_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40">
<head>
<meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"=
>
<meta name=3D"Generator" content=3D"Microsoft Word 14 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
	{font-family:Wingdings;
	panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
	{font-family:Wingdings;
	panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0cm;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
p.MsoAcetate, li.MsoAcetate, div.MsoAcetate
	{mso-style-priority:99;
	mso-style-link:"Balloon Text Char";
	margin:0cm;
	margin-bottom:.0001pt;
	font-size:8.0pt;
	font-family:"Tahoma","sans-serif";}
p.MsoListParagraph, li.MsoListParagraph, div.MsoListParagraph
	{mso-style-priority:34;
	margin-top:0cm;
	margin-right:0cm;
	margin-bottom:0cm;
	margin-left:36.0pt;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
span.EmailStyle17
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.EmailStyle18
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.BalloonTextChar
	{mso-style-name:"Balloon Text Char";
	mso-style-priority:99;
	mso-style-link:"Balloon Text";
	font-family:"Tahoma","sans-serif";}
.MsoChpDefault
	{mso-style-type:export-only;
	font-size:10.0pt;}
@page WordSection1
	{size:612.0pt 792.0pt;
	margin:72.0pt 90.0pt 72.0pt 90.0pt;}
div.WordSection1
	{page:WordSection1;}
/* List Definitions */
@list l0
	{mso-list-id:438373965;
	mso-list-type:hybrid;
	mso-list-template-ids:1443122530 -1616736994 68419587 68419589 68419585 68=
419587 68419589 68419585 68419587 68419589;}
@list l0:level1
	{mso-level-start-at:5;
	mso-level-number-format:bullet;
	mso-level-text:\F0B7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:Symbol;
	mso-fareast-font-family:Calibri;
	mso-bidi-font-family:"Times New Roman";}
@list l0:level2
	{mso-level-number-format:bullet;
	mso-level-text:o;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:"Courier New";}
@list l0:level3
	{mso-level-number-format:bullet;
	mso-level-text:\F0A7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:Wingdings;}
@list l0:level4
	{mso-level-number-format:bullet;
	mso-level-text:\F0B7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:Symbol;}
@list l0:level5
	{mso-level-number-format:bullet;
	mso-level-text:o;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:"Courier New";}
@list l0:level6
	{mso-level-number-format:bullet;
	mso-level-text:\F0A7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:Wingdings;}
@list l0:level7
	{mso-level-number-format:bullet;
	mso-level-text:\F0B7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:Symbol;}
@list l0:level8
	{mso-level-number-format:bullet;
	mso-level-text:o;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:"Courier New";}
@list l0:level9
	{mso-level-number-format:bullet;
	mso-level-text:\F0A7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-18.0pt;
	font-family:Wingdings;}
ol
	{margin-bottom:0cm;}
ul
	{margin-bottom:0cm;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang=3D"NO-BOK" link=3D"blue" vlink=3D"purple">
<div class=3D"WordSection1">
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">For compos=
ed streams I remember we have discussed these use cases
<o:p></o:p></span></p>
<p class=3D"MsoListParagraph" style=3D"text-indent:-18.0pt;mso-list:l0 leve=
l1 lfo1"><![if !supportLists]><span lang=3D"EN-GB" style=3D"font-size:11.0p=
t;font-family:Symbol;color:#1F497D"><span style=3D"mso-list:Ignore">&middot=
;<span style=3D"font:7.0pt &quot;Times New Roman&quot;">&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span lang=3D"EN-GB" style=3D"font-size:11.0=
pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">UC=
-0; As an endpoint I want to choose captures from an MCU with or without co=
mposition enabled. If composition is enabled the MCU is
 free to implement any custom layout the MCU think is good, with compositio=
n disabled the receiver expect each capture to be a single participant and =
single segment.
<o:p></o:p></span></p>
<p class=3D"MsoListParagraph" style=3D"text-indent:-18.0pt;mso-list:l0 leve=
l1 lfo1"><![if !supportLists]><span lang=3D"EN-GB" style=3D"font-size:11.0p=
t;font-family:Symbol;color:#1F497D"><span style=3D"mso-list:Ignore">&middot=
;<span style=3D"font:7.0pt &quot;Times New Roman&quot;">&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span lang=3D"EN-GB" style=3D"font-size:11.0=
pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">UC=
-1; As an endpoint I want to know which composed layout the MCU supports, e=
.g. a named list of layout with a descriptive text similar
 to the video-layout element in XCON. [1]<o:p></o:p></span></p>
<p class=3D"MsoListParagraph" style=3D"text-indent:-18.0pt;mso-list:l0 leve=
l1 lfo1"><![if !supportLists]><span lang=3D"EN-GB" style=3D"font-size:11.0p=
t;font-family:Symbol;color:#1F497D"><span style=3D"mso-list:Ignore">&middot=
;<span style=3D"font:7.0pt &quot;Times New Roman&quot;">&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span lang=3D"EN-GB" style=3D"font-size:11.0=
pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">UC=
-2: As an endpoint I want to request a composed capture with a preferred la=
yout based on an available list, without a preference the
 MCU &nbsp;is free to choose a layout that works nicely with the connected =
participants and captures available.
<o:p></o:p></span></p>
<p class=3D"MsoListParagraph" style=3D"text-indent:-18.0pt;mso-list:l0 leve=
l1 lfo1"><![if !supportLists]><span lang=3D"EN-GB" style=3D"font-size:11.0p=
t;font-family:Symbol;color:#1F497D"><span style=3D"mso-list:Ignore">&middot=
;<span style=3D"font:7.0pt &quot;Times New Roman&quot;">&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span lang=3D"EN-GB" style=3D"font-size:11.0=
pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">UC=
-3; As an endpoint I want to receive information about the content of a com=
posed capture and receive updates when the composition changes.
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">UC-0 only =
requires CLUE to have a Boolean to enable/disable composed layouts, which I=
 think is sufficient for CLUE version 1.
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">The remain=
ing use cases are also valid for related IETF standards like XCON. I do thi=
nk that the CLUE protocol must be extensible (as stated in
 the charter) and allow for integration with another protocol for layout co=
ntrol or as a vendor extension to CLUE.&nbsp;
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Cheers
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">-Espen
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">[1] XCON d=
ata model,
<a href=3D"http://tools.ietf.org/html/rfc6501">http://tools.ietf.org/html/r=
fc6501</a><o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0cm =
0cm 0cm">
<p class=3D"MsoNormal"><b><span lang=3D"EN-US" style=3D"font-size:10.0pt;fo=
nt-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span =
lang=3D"EN-US" style=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&qu=
ot;sans-serif&quot;"> clue-bounces@ietf.org [mailto:clue-bounces@ietf.org]
<b>On Behalf Of </b>Roni Even<br>
<b>Sent:</b> 24. juli 2012 15:30<br>
<b>To:</b> 'Stephan Wenger'; clue@ietf.org<br>
<b>Subject:</b> Re: [clue] Open Ticket 5 - composed captures<o:p></o:p></sp=
an></p>
</div>
</div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Hi Stephan=
,<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">I agree wi=
th your view about decomposition a mixed captures to individual tiles. I am=
 not sure about SEI message if we want this for any codec,
 maybe RTP header extension is another way.<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">As for the=
 use case you described, I think that people are looking at using SVC to se=
nd a mixed image that can be decomposed easily.
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">This will =
still leave open the issue of which source &nbsp;is in the current mix and =
in in which tile, which is what I think what others had in mind
 when discussing composed capture description.<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Roni<o:p><=
/o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0cm =
0cm 0cm">
<p class=3D"MsoNormal"><b><span lang=3D"EN-US" style=3D"font-size:10.0pt;fo=
nt-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span =
lang=3D"EN-US" style=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&qu=
ot;sans-serif&quot;">
<a href=3D"mailto:clue-bounces@ietf.org">clue-bounces@ietf.org</a> <a href=
=3D"mailto:[mailto:clue-bounces@ietf.org]">
[mailto:clue-bounces@ietf.org]</a> <b>On Behalf Of </b>Stephan Wenger<br>
<b>Sent:</b> 24 July, 2012 2:01 PM<br>
<b>To:</b> <a href=3D"mailto:clue@ietf.org">clue@ietf.org</a><br>
<b>Subject:</b> [clue] Open Ticket 5 - composed captures<o:p></o:p></span><=
/p>
</div>
</div>
<p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:10.5pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black">Hi all,<o:p>=
</o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:10.5pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black"><o:p>&nbsp;<=
/o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:10.5pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black">I had some p=
rivate conversations with Steve and Mark about composed pictures. &nbsp;The=
y offered me time from the framework timeslot in the hopes that
 we can close the subject. &nbsp;Thank you again. &nbsp;However, I think we=
 can close it even on the list:<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:10.5pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black"><o:p>&nbsp;<=
/o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:10.5pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black">To refresh e=
veryone's memory, my proposal has been to include (optionally) in the descr=
iption of a composed video capture those attributes that are
 needed to decompose the capture in order to forward (after re-encoding) th=
e tiles of an MCU-generated, tiled image as individual streams. &nbsp;I con=
tinue to believe that this use case is valid. &nbsp;However, after thinking=
 a bit more, I now believe that CLUE may not
 be the right protocol mechanism to convey the information necessary for de=
composition, for example the coordinates of each tile in the composed pictu=
re. &nbsp;The reason is that CLUE is not a real time protocol synchronized =
with the video bitstream. &nbsp;In many (most?)
 practical MCU based sessions, there is some form of real-time image swappi=
ng, voice activated or otherwise.&nbsp;<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:10.5pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black"><o:p>&nbsp;<=
/o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:10.5pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black">Decompositio=
n of such sessions with protocol means not synchronized with the video (at =
a single frame accuracy, i.e. 1/60th of a second) will lead
 to annoying artifacts at the receivers end. &nbsp;I don't believe that the=
 CLUE protocol will ever have such a real-time property. &nbsp;Therefore, t=
he appropriate place for de-composition information is not in a CLUE protoc=
ol transaction, but in something synchronized
 with video, most likely in-band as a Supplementary Enhancement Information=
 (SEI) message.<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:10.5pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black"><o:p>&nbsp;<=
/o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:10.5pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black">Unless someo=
ne else points out an error in this train of thought, I'm OK with a single =
flag per capture indicating a composed capture for CLUE's
 first version. &nbsp;I will also think about an appropriate SEI message fo=
rmat that could be suggested to the video standards bodies such as VCEG and=
 MPEG.<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:10.5pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black"><o:p>&nbsp;<=
/o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:10.5pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black">Thoughts?<o:=
p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:10.5pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black"><o:p>&nbsp;<=
/o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:10.5pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black">See you soon=
 in YVR,<o:p></o:p></span></p>
</div>
<div>
<p class=3D"MsoNormal"><span lang=3D"EN-US" style=3D"font-size:10.5pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black">Stephan<o:p>=
</o:p></span></p>
</div>
</div>
</body>
</html>

--_000_E8F5F2C7B2623641BD9ABF0B622D726D0235A9xmbrcdx11ciscocom_--

From espeberg@cisco.com  Tue Jul 24 07:42:09 2012
Return-Path: <espeberg@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 6FC7621F8682 for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 07:42:09 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[AWL=0.000, BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id JJ7GZkE0EF6V for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 07:42:08 -0700 (PDT)
Received: from rcdn-iport-1.cisco.com (rcdn-iport-1.cisco.com [173.37.86.72]) by ietfa.amsl.com (Postfix) with ESMTP id 76C6321F8681 for <clue@ietf.org>; Tue, 24 Jul 2012 07:42:08 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=espeberg@cisco.com; l=5402; q=dns/txt; s=iport; t=1343140928; x=1344350528; h=from:to:subject:date:message-id:references:in-reply-to: content-transfer-encoding:mime-version; bh=fNAVkSbYRVpu/kqJcSdQHe5n50kd+28hbNPteR6+F8w=; b=Pcz5e8f2kfCANgyXts9Y9OG0suqhLnL5w9DbvdSmtW+RoUkjzHLm2HWw atIBiE35YB6SRZwgcCa0IoUMXswWGoigt6LOseKoqcaYrm0s+uvEQuBUh sp7VBA2M45VUs6IrQZhu9U2mHSyQydxql5FqLSsl3ftJxkr+TUV/sEcRr Y=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av8EAKazDlCtJV2a/2dsb2JhbABFuXKBB4IgAQEBBAEBAQ8BJzQXBAIBCBEEAQEBChQJBycLFAkIAgQBEggah2sLmwagQASLSxSGAGADo3CBZoJfgVYF
X-IronPort-AV: E=Sophos;i="4.77,646,1336348800"; d="scan'208";a="104584150"
Received: from rcdn-core-3.cisco.com ([173.37.93.154]) by rcdn-iport-1.cisco.com with ESMTP; 24 Jul 2012 14:42:08 +0000
Received: from xhc-rcd-x13.cisco.com (xhc-rcd-x13.cisco.com [173.37.183.87]) by rcdn-core-3.cisco.com (8.14.5/8.14.5) with ESMTP id q6OEg79N022434 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Tue, 24 Jul 2012 14:42:07 GMT
Received: from xmb-rcd-x11.cisco.com ([169.254.1.95]) by xhc-rcd-x13.cisco.com ([173.37.183.87]) with mapi id 14.02.0298.004; Tue, 24 Jul 2012 09:42:06 -0500
From: "Espen Berger (espeberg)" <espeberg@cisco.com>
To: "Duckworth, Mark" <Mark.Duckworth@polycom.com>, "clue@ietf.org" <clue@ietf.org>
Thread-Topic: [clue] Capture Scene Entry question
Thread-Index: AQHNaS886O0aDxL420+AmhD2lmCFjpc34v4AgAC8jAD//9xQkA==
Date: Tue, 24 Jul 2012 14:42:05 +0000
Message-ID: <E8F5F2C7B2623641BD9ABF0B622D726D023678@xmb-rcd-x11.cisco.com>
References: <500DE568.1030909@nteczone.com> <500DE806.8050101@alum.mit.edu> <44C6B6B2D0CF424AA90B6055548D7A61038F466790@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A61038F466790@CRPMBOXPRD01.polycom.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.147.112.46]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19060.006
x-tm-as-result: No--60.373600-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] Capture Scene Entry question
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 24 Jul 2012 14:42:09 -0000

Christian, I have ready the capture scene entry as meaning 'choose all capt=
ure in a capture scene entry to get a good rendering of a capture scene". S=
o I would model your example as { VC1, VC2, VC3} or { VC4  } . A consumer s=
hould request all captures in an entry to have a complete entry,  to discou=
rage endpoints to only request VC2 to get half of a rendering.=20

For the classroom example I think it's natural to model speaker and audienc=
e with two capture-scenes. =20

capture-scene id=3D"1" description=3D"Speaker"
  Entry: VC1  // Available as a single video capture.=20

capture-scene id=3D"2" description=3D"Audience"
  Entry: VC1 // A single capture view of the audience=20
  Entry2: VC2, VC3, VC4  // A triple capture view of the audience=20

For the audience capture scene a consumer must choose between the two rende=
ring alternatives depending on the consumer preference. =20

Notes=20
 * As a provider the 'speaker' is more important, so its listed first in th=
e advertisement.=20
 * If the capture scene with audience does not have a single capture altern=
ative, it will exclude many receivers to do sensible renderings of the room=
.=20

Cheers=20

-Espen=20


-----Original Message-----
From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Duc=
kworth, Mark
Sent: 24. juli 2012 13:26
To: clue@ietf.org
Subject: Re: [clue] Capture Scene Entry question

Christian,
Your first example capture scene, with two separate entries, is exactly the=
 sort of thing intended by the framework.  The first entry (VC1, VC2, VC3) =
is one good alternative for representing the scene, and the second entry (V=
C4) is another good alternative.

But there shouldn't be anything stopping you from advertising your second e=
xample, with (VC1, VC2, VC3, VC4) all in the same entry.  But this entry by=
 itself is not helpful for a consumer that doesn't want to (or can't) recei=
ve all four captures.

Paul,
Your classroom suggestion makes sense.  But the provider might also want to=
 advertise capture scene entries with fewer captures per entry in order to =
suggest which captures a more limited consumer might find most useful.
Another possible way to do it is to put the students in one scene and the t=
eacher in another scene.

Mark

> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf=20
> Of Paul Kyzivat
> Sent: Monday, July 23, 2012 8:11 PM
> To: clue@ietf.org
> Subject: Re: [clue] Capture Scene Entry question
>=20
> [as individual]
>=20
> On 7/23/12 7:59 PM, Christian Groves wrote:
> > Hello all,
> >
> > In reading the framework document I'm having trouble understanding=20
> > exactly what a "Capture Scene Entry" is. In the framework it is defined=
 as:
> > /*Capture Scene Entry: a list of media captures of the same media=20
> > type that together form one way to represent the capture scene./
> >
> > it also says:
> > /A media provider arranges media captures in a capture scene to help=20
> > the media consumer choose which captures it wants. The capture scene=20
> > entries in a capture scene are different alternatives the provider=20
> > is suggesting for representing the capture scene./
> >
> > I'm wondering how people interpret "one way" and "different alternative=
s"?
> > You could interpret this as meaning that each "Capture Scene Entry"
> > shows an entire scene, or you could interpret this as meaning that=20
> > each "Capture Scene Entry" could show part of the overall scene.
> >
> > At least from my reading of the framework both interpretations are=20
> > allowed. Is there a preferred interpretation?
> > For example: if VC1,VC2,VC3 are three main cameras, VC4 is an camera=20
> > that automatically zooms in on the active speaker. I could construct=20
> > a capture scenes with one or two capture scene entries:
> > +------------------+
> > | Capture Scene #1 |
> > +------------------+
> > | VC1, VC2, VC3 |
> > | VC4 |
> > +------------------+
> > or
> > +--------------------+
> > | Capture Scene #1 |
> > +--------------------+
> > | VC1, VC2, VC3, VC4 |
> > +--------------------+
> >
> > What are people's thoughts?
>=20
> As described above, VC4 is functionally similar to a switched capture=20
> that switches between VC1,VC2,VC3. (But I don't know if it is similar
> *enough* to label it as a switched capture. Without some such label=20
> the receiver won't realize what sort of thing it is getting.)
>=20
> As such, this seems a valid way to construct entries.
>=20
> But suppose the scene represents a classroom situation, with=20
> VC1,VC2,VC3 representing the "students" and VC4 represents the=20
> "teacher". In that case, I think its necessary to place all four into=20
> one entry. Putting
> VC1,VC2,VC3 in one entry, and VC4 in another would mean that each only=20
> provides a partial view of the scene. And so I would think that was=20
> not a valid usage.
>=20
> I went back to the framework to see if it was clear about this. IMO it is=
n't.
>=20
> 	Thanks,
> 	Paul
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

From Mark.Duckworth@polycom.com  Tue Jul 24 07:42:39 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id F115A21F8680 for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 07:42:38 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.498
X-Spam-Level: 
X-Spam-Status: No, score=-6.498 tagged_above=-999 required=5 tests=[AWL=0.100,  BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 9XdP53zQRsIA for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 07:42:38 -0700 (PDT)
Received: from crpehubprd02.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id E3E0E21F84F3 for <clue@ietf.org>; Tue, 24 Jul 2012 07:42:37 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::e001:c7b0:91a1:9443]) by crpehubprd02.polycom.com ([fe80::5efe:10.236.0.154%12]) with mapi; Tue, 24 Jul 2012 07:42:37 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Tue, 24 Jul 2012 07:42:35 -0700
Thread-Topic: Status of Ticket #8 how consumer differentiates between capture scenes
Thread-Index: Ac1pqgM1kz5FngEeR2q23Vtmrf4u8Q==
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A61038F466863@CRPMBOXPRD01.polycom.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: multipart/alternative; boundary="_000_44C6B6B2D0CF424AA90B6055548D7A61038F466863CRPMBOXPRD01p_"
MIME-Version: 1.0
Subject: [clue] Status of Ticket #8 how consumer differentiates between capture scenes
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 24 Jul 2012 14:42:39 -0000

--_000_44C6B6B2D0CF424AA90B6055548D7A61038F466863CRPMBOXPRD01p_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

The framework includes a couple ways a provider advertisement can include i=
nformation to differentiate between multiple capture scenes it is advertisi=
ng.

-          Description attribute for capture scene

-          Content attribute for media captures
When we added the Description attribute, we agreed to keep Ticket #8 open. =
 Prior to that, we discussed Ticket #8 on the list but I don't remember any=
 specific proposals or consensus other than the Description attribute.

Recently Espen suggested adding another description attribute for media cap=
tures<http://www.ietf.org/mail-archive/web/clue/current/msg01664.html>, whi=
ch could include even more text information to differentiate between scenes=
, and to differentiate captures within a scene.  I didn't see any responses=
 to Espen's proposal.  I agree this could be useful, but I'm not sure it's =
necessary.

So if anybody still thinks we need more information in the framework for th=
is issue, can you make a specific proposal?  Or can we close this ticket no=
w?

Mark

--_000_44C6B6B2D0CF424AA90B6055548D7A61038F466863CRPMBOXPRD01p_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:dt=3D"uuid:C2F41010-65B3-11d1-A29F-00AA00C14882" xmlns:m=3D"http://sc=
hemas.microsoft.com/office/2004/12/omml" xmlns=3D"http://www.w3.org/TR/REC-=
html40"><head><meta http-equiv=3DContent-Type content=3D"text/html; charset=
=3Dus-ascii"><meta name=3DGenerator content=3D"Microsoft Word 14 (filtered =
medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Wingdings;
	panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
	{font-family:Wingdings;
	panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:11.0pt;
	font-family:"Calibri","sans-serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
p.MsoListParagraph, li.MsoListParagraph, div.MsoListParagraph
	{mso-style-priority:34;
	margin-top:0in;
	margin-right:0in;
	margin-bottom:0in;
	margin-left:.5in;
	margin-bottom:.0001pt;
	font-size:11.0pt;
	font-family:"Calibri","sans-serif";}
span.EmailStyle17
	{mso-style-type:personal-compose;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
/* List Definitions */
@list l0
	{mso-list-id:1631551404;
	mso-list-type:hybrid;
	mso-list-template-ids:-394644994 1840960500 67698691 67698693 67698689 676=
98691 67698693 67698689 67698691 67698693;}
@list l0:level1
	{mso-level-start-at:0;
	mso-level-number-format:bullet;
	mso-level-text:-;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:"Calibri","sans-serif";
	mso-fareast-font-family:Calibri;}
@list l0:level2
	{mso-level-number-format:bullet;
	mso-level-text:o;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:"Courier New";}
@list l0:level3
	{mso-level-number-format:bullet;
	mso-level-text:\F0A7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:Wingdings;}
@list l0:level4
	{mso-level-number-format:bullet;
	mso-level-text:\F0B7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:Symbol;}
@list l0:level5
	{mso-level-number-format:bullet;
	mso-level-text:o;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:"Courier New";}
@list l0:level6
	{mso-level-number-format:bullet;
	mso-level-text:\F0A7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:Wingdings;}
@list l0:level7
	{mso-level-number-format:bullet;
	mso-level-text:\F0B7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:Symbol;}
@list l0:level8
	{mso-level-number-format:bullet;
	mso-level-text:o;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:"Courier New";}
@list l0:level9
	{mso-level-number-format:bullet;
	mso-level-text:\F0A7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:Wingdings;}
ol
	{margin-bottom:0in;}
ul
	{margin-bottom:0in;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue vli=
nk=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal>The framework in=
cludes a couple ways a provider advertisement can include information to di=
fferentiate between multiple capture scenes it is advertising.<o:p></o:p></=
p><p class=3DMsoListParagraph style=3D'text-indent:-.25in;mso-list:l0 level=
1 lfo1'><![if !supportLists]><span style=3D'mso-list:Ignore'>-<span style=
=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp=
;&nbsp;&nbsp; </span></span><![endif]>Description attribute for capture sce=
ne<o:p></o:p></p><p class=3DMsoListParagraph style=3D'text-indent:-.25in;ms=
o-list:l0 level1 lfo1'><![if !supportLists]><span style=3D'mso-list:Ignore'=
>-<span style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp; </span></span><![endif]>Content attribute for me=
dia captures<o:p></o:p></p><p class=3DMsoNormal>When we added the Descripti=
on attribute, we agreed to keep Ticket #8 open.&nbsp; Prior to that, we dis=
cussed Ticket #8 on the list but I don&#8217;t remember any specific propos=
als or consensus other than the Description attribute.<o:p></o:p></p><p cla=
ss=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>Recently <a href=
=3D"http://www.ietf.org/mail-archive/web/clue/current/msg01664.html">Espen =
suggested adding another description attribute for media captures</a>, whic=
h could include even more text information to differentiate between scenes,=
 and to differentiate captures within a scene.&nbsp; I didn&#8217;t see any=
 responses to Espen&#8217;s proposal.&nbsp; I agree this could be useful, b=
ut I&#8217;m not sure it&#8217;s necessary.<o:p></o:p></p><p class=3DMsoNor=
mal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>So if anybody still thinks we=
 need more information in the framework for this issue, can you make a spec=
ific proposal?&nbsp; Or can we close this ticket now?<o:p></o:p></p><p clas=
s=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>Mark<o:p></o:p></p>=
</div></body></html>=

--_000_44C6B6B2D0CF424AA90B6055548D7A61038F466863CRPMBOXPRD01p_--

From pkyzivat@alum.mit.edu  Tue Jul 24 08:01:12 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id C819621F85DD for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 08:01:12 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.364
X-Spam-Level: 
X-Spam-Status: No, score=-2.364 tagged_above=-999 required=5 tests=[AWL=0.235,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id MEH8FrjioE7I for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 08:01:11 -0700 (PDT)
Received: from qmta09.westchester.pa.mail.comcast.net (qmta09.westchester.pa.mail.comcast.net [76.96.62.96]) by ietfa.amsl.com (Postfix) with ESMTP id 4A3BD21F858E for <clue@ietf.org>; Tue, 24 Jul 2012 08:01:11 -0700 (PDT)
Received: from omta09.westchester.pa.mail.comcast.net ([76.96.62.20]) by qmta09.westchester.pa.mail.comcast.net with comcast id eAg31j0020SCNGk59F1DpG; Tue, 24 Jul 2012 15:01:13 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta09.westchester.pa.mail.comcast.net with comcast id eF1J1j00P3ZTu2S3VF1JXJ; Tue, 24 Jul 2012 15:01:18 +0000
Message-ID: <500EB8B5.4010206@alum.mit.edu>
Date: Tue, 24 Jul 2012 11:01:09 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <44C6B6B2D0CF424AA90B6055548D7A61038F466863@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A61038F466863@CRPMBOXPRD01.polycom.com>
Content-Type: text/plain; charset=windows-1252; format=flowed
Content-Transfer-Encoding: 8bit
Subject: Re: [clue] Status of Ticket #8 how consumer differentiates between capture scenes
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 24 Jul 2012 15:01:12 -0000

[as individual]

On 7/24/12 10:42 AM, Duckworth, Mark wrote:
> The framework includes a couple ways a provider advertisement can
> include information to differentiate between multiple capture scenes it
> is advertising.
>
> -Description attribute for capture scene
>
> -Content attribute for media captures
>
> When we added the Description attribute, we agreed to keep Ticket #8
> open. Prior to that, we discussed Ticket #8 on the list but I don’t
> remember any specific proposals or consensus other than the Description
> attribute.
>
> Recently Espen suggested adding another description attribute for media
> captures
> <http://www.ietf.org/mail-archive/web/clue/current/msg01664.html>, which
> could include even more text information to differentiate between
> scenes, and to differentiate captures within a scene. I didn’t see any
> responses to Espen’s proposal. I agree this could be useful, but I’m not
> sure it’s necessary.

Useful but not necessary is a perfect description of an optional attribute.

I think it would be very helpful, for a couple of reasons:
- debugging
- to support manual configuration of an endpoint as a fallback
   in case automatic configuration isn't giving satisfactory results.

So I'd like to see this included.

	Thanks,
	Paul

> So if anybody still thinks we need more information in the framework for
> this issue, can you make a specific proposal? Or can we close this
> ticket now?
>
> Mark
>
>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue


From Mark.Duckworth@polycom.com  Tue Jul 24 10:52:20 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 7714A11E8079 for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 10:52:20 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.505
X-Spam-Level: 
X-Spam-Status: No, score=-6.505 tagged_above=-999 required=5 tests=[AWL=0.093,  BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id xCH0CwNQ0GYi for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 10:52:19 -0700 (PDT)
Received: from Crpehubprd01.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id 5BB3C21F85D1 for <clue@ietf.org>; Tue, 24 Jul 2012 10:52:19 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::e001:c7b0:91a1:9443]) by Crpehubprd01.polycom.com ([fe80::5efe:10.236.0.158%14]) with mapi; Tue, 24 Jul 2012 10:52:18 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Tue, 24 Jul 2012 10:52:16 -0700
Thread-Topic: [clue] Open Ticket 5 - composed captures
Thread-Index: AQHNaZQLnG2BQtWzhUiF9mphghnXjJc4wZUA//+b/uCAAFgIUA==
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A61038F4669B6@CRPMBOXPRD01.polycom.com>
References: <CC33DC9F.89743%stewe@stewe.org> <00dd01cd69a0$77b18960$67149c20$@gmail.com> <E8F5F2C7B2623641BD9ABF0B622D726D0235A9@xmb-rcd-x11.cisco.com>
In-Reply-To: <E8F5F2C7B2623641BD9ABF0B622D726D0235A9@xmb-rcd-x11.cisco.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: multipart/alternative; boundary="_000_44C6B6B2D0CF424AA90B6055548D7A61038F4669B6CRPMBOXPRD01p_"
MIME-Version: 1.0
Subject: Re: [clue] Open Ticket 5 - composed captures
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 24 Jul 2012 17:52:20 -0000

--_000_44C6B6B2D0CF424AA90B6055548D7A61038F4669B6CRPMBOXPRD01p_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

Espen,

You summarized the cases nicely.  I think your UC-3 is what Roni was talkin=
g about when he said there is still the open issue of which source is in th=
e mix, etc.

I agree the current framework is sufficient for CLUE version 1.  I like the=
 idea of using another protocol for layout control, as I think it is separa=
ble from CLUE and more broadly applicable for non-CLUE systems.

Mark

From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Esp=
en Berger (espeberg)
Sent: Tuesday, July 24, 2012 8:55 AM
To: Roni Even; 'Stephan Wenger'; clue@ietf.org
Subject: Re: [clue] Open Ticket 5 - composed captures

For composed streams I remember we have discussed these use cases

*         UC-0; As an endpoint I want to choose captures from an MCU with o=
r without composition enabled. If composition is enabled the MCU is free to=
 implement any custom layout the MCU think is good, with composition disabl=
ed the receiver expect each capture to be a single participant and single s=
egment.

*         UC-1; As an endpoint I want to know which composed layout the MCU=
 supports, e.g. a named list of layout with a descriptive text similar to t=
he video-layout element in XCON. [1]

*         UC-2: As an endpoint I want to request a composed capture with a =
preferred layout based on an available list, without a preference the MCU  =
is free to choose a layout that works nicely with the connected participant=
s and captures available.

*         UC-3; As an endpoint I want to receive information about the cont=
ent of a composed capture and receive updates when the composition changes.

UC-0 only requires CLUE to have a Boolean to enable/disable composed layout=
s, which I think is sufficient for CLUE version 1.

The remaining use cases are also valid for related IETF standards like XCON=
. I do think that the CLUE protocol must be extensible (as stated in the ch=
arter) and allow for integration with another protocol for layout control o=
r as a vendor extension to CLUE.

Cheers

-Espen

[1] XCON data model, http://tools.ietf.org/html/rfc6501


From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Ron=
i Even
Sent: 24. juli 2012 15:30
To: 'Stephan Wenger'; clue@ietf.org
Subject: Re: [clue] Open Ticket 5 - composed captures

Hi Stephan,
I agree with your view about decomposition a mixed captures to individual t=
iles. I am not sure about SEI message if we want this for any codec, maybe =
RTP header extension is another way.
As for the use case you described, I think that people are looking at using=
 SVC to send a mixed image that can be decomposed easily.

This will still leave open the issue of which source  is in the current mix=
 and in in which tile, which is what I think what others had in mind when d=
iscussing composed capture description.

Roni

From: clue-bounces@ietf.org<mailto:clue-bounces@ietf.org> [mailto:clue-boun=
ces@ietf.org]<mailto:[mailto:clue-bounces@ietf.org]> On Behalf Of Stephan W=
enger
Sent: 24 July, 2012 2:01 PM
To: clue@ietf.org<mailto:clue@ietf.org>
Subject: [clue] Open Ticket 5 - composed captures

Hi all,

I had some private conversations with Steve and Mark about composed picture=
s.  They offered me time from the framework timeslot in the hopes that we c=
an close the subject.  Thank you again.  However, I think we can close it e=
ven on the list:

To refresh everyone's memory, my proposal has been to include (optionally) =
in the description of a composed video capture those attributes that are ne=
eded to decompose the capture in order to forward (after re-encoding) the t=
iles of an MCU-generated, tiled image as individual streams.  I continue to=
 believe that this use case is valid.  However, after thinking a bit more, =
I now believe that CLUE may not be the right protocol mechanism to convey t=
he information necessary for decomposition, for example the coordinates of =
each tile in the composed picture.  The reason is that CLUE is not a real t=
ime protocol synchronized with the video bitstream.  In many (most?) practi=
cal MCU based sessions, there is some form of real-time image swapping, voi=
ce activated or otherwise.

Decomposition of such sessions with protocol means not synchronized with th=
e video (at a single frame accuracy, i.e. 1/60th of a second) will lead to =
annoying artifacts at the receivers end.  I don't believe that the CLUE pro=
tocol will ever have such a real-time property.  Therefore, the appropriate=
 place for de-composition information is not in a CLUE protocol transaction=
, but in something synchronized with video, most likely in-band as a Supple=
mentary Enhancement Information (SEI) message.

Unless someone else points out an error in this train of thought, I'm OK wi=
th a single flag per capture indicating a composed capture for CLUE's first=
 version.  I will also think about an appropriate SEI message format that c=
ould be suggested to the video standards bodies such as VCEG and MPEG.

Thoughts?

See you soon in YVR,
Stephan

--_000_44C6B6B2D0CF424AA90B6055548D7A61038F4669B6CRPMBOXPRD01p_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40"><head><meta http-equiv=3DContent-Type content=
=3D"text/html; charset=3Dus-ascii"><meta name=3DGenerator content=3D"Micros=
oft Word 14 (filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Wingdings;
	panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
	{font-family:Wingdings;
	panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
p.MsoAcetate, li.MsoAcetate, div.MsoAcetate
	{mso-style-priority:99;
	mso-style-link:"Balloon Text Char";
	margin:0in;
	margin-bottom:.0001pt;
	font-size:8.0pt;
	font-family:"Tahoma","sans-serif";}
p.MsoListParagraph, li.MsoListParagraph, div.MsoListParagraph
	{mso-style-priority:34;
	margin-top:0in;
	margin-right:0in;
	margin-bottom:0in;
	margin-left:.5in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
span.BalloonTextChar
	{mso-style-name:"Balloon Text Char";
	mso-style-priority:99;
	mso-style-link:"Balloon Text";
	font-family:"Tahoma","sans-serif";}
span.EmailStyle20
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.EmailStyle21
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.EmailStyle22
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-size:10.0pt;}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.25in 1.0in 1.25in;}
div.WordSection1
	{page:WordSection1;}
/* List Definitions */
@list l0
	{mso-list-id:438373965;
	mso-list-type:hybrid;
	mso-list-template-ids:1443122530 -1616736994 68419587 68419589 68419585 68=
419587 68419589 68419585 68419587 68419589;}
@list l0:level1
	{mso-level-start-at:5;
	mso-level-number-format:bullet;
	mso-level-text:\F0B7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:Symbol;
	mso-fareast-font-family:Calibri;
	mso-bidi-font-family:"Times New Roman";}
@list l0:level2
	{mso-level-number-format:bullet;
	mso-level-text:o;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:"Courier New";}
@list l0:level3
	{mso-level-number-format:bullet;
	mso-level-text:\F0A7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:Wingdings;}
@list l0:level4
	{mso-level-number-format:bullet;
	mso-level-text:\F0B7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:Symbol;}
@list l0:level5
	{mso-level-number-format:bullet;
	mso-level-text:o;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:"Courier New";}
@list l0:level6
	{mso-level-number-format:bullet;
	mso-level-text:\F0A7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:Wingdings;}
@list l0:level7
	{mso-level-number-format:bullet;
	mso-level-text:\F0B7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:Symbol;}
@list l0:level8
	{mso-level-number-format:bullet;
	mso-level-text:o;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:"Courier New";}
@list l0:level9
	{mso-level-number-format:bullet;
	mso-level-text:\F0A7;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;
	font-family:Wingdings;}
ol
	{margin-bottom:0in;}
ul
	{margin-bottom:0in;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue vli=
nk=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal><span style=3D'f=
ont-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Espen,<o:=
p></o:p></span></p><p class=3DMsoNormal><span style=3D'font-size:11.0pt;fon=
t-family:"Calibri","sans-serif";color:#1F497D'><o:p>&nbsp;</o:p></span></p>=
<p class=3DMsoNormal><span style=3D'font-size:11.0pt;font-family:"Calibri",=
"sans-serif";color:#1F497D'>You summarized the cases nicely.&nbsp; I think =
your UC-3 is what Roni was talking about when he said there is still the op=
en issue of which source is in the mix, etc.<o:p></o:p></span></p><p class=
=3DMsoNormal><span style=3D'font-size:11.0pt;font-family:"Calibri","sans-se=
rif";color:#1F497D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'=
>I agree the current framework is sufficient for CLUE version 1.&nbsp; I li=
ke the idea of using another protocol for layout control, as I think it is =
separable from CLUE and more broadly applicable for non-CLUE systems.<o:p><=
/o:p></span></p><p class=3DMsoNormal><span style=3D'font-size:11.0pt;font-f=
amily:"Calibri","sans-serif";color:#1F497D'><o:p>&nbsp;</o:p></span></p><p =
class=3DMsoNormal><span style=3D'font-size:11.0pt;font-family:"Calibri","sa=
ns-serif";color:#1F497D'>Mark<o:p></o:p></span></p><p class=3DMsoNormal><sp=
an style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F49=
7D'><o:p>&nbsp;</o:p></span></p><div style=3D'border:none;border-left:solid=
 blue 1.5pt;padding:0in 0in 0in 4.0pt'><div><div style=3D'border:none;borde=
r-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in 0in 0in'><p class=3DMsoNormal><=
b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:<=
/span></b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"=
'> clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] <b>On Behalf Of </b=
>Espen Berger (espeberg)<br><b>Sent:</b> Tuesday, July 24, 2012 8:55 AM<br>=
<b>To:</b> Roni Even; 'Stephan Wenger'; clue@ietf.org<br><b>Subject:</b> Re=
: [clue] Open Ticket 5 - composed captures<o:p></o:p></span></p></div></div=
><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal><span lang=
=3DEN-GB style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color=
:#1F497D'>For composed streams I remember we have discussed these use cases=
 <o:p></o:p></span></p><p class=3DMsoListParagraph style=3D'text-indent:-.2=
5in;mso-list:l0 level1 lfo2'><![if !supportLists]><span lang=3DEN-GB style=
=3D'font-size:11.0pt;font-family:Symbol;color:#1F497D'><span style=3D'mso-l=
ist:Ignore'>&middot;<span style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><![endif]><span=
 lang=3DEN-GB style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";=
color:#1F497D'>UC-0; As an endpoint I want to choose captures from an MCU w=
ith or without composition enabled. If composition is enabled the MCU is fr=
ee to implement any custom layout the MCU think is good, with composition d=
isabled the receiver expect each capture to be a single participant and sin=
gle segment. <o:p></o:p></span></p><p class=3DMsoListParagraph style=3D'tex=
t-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span lang=3D=
EN-GB style=3D'font-size:11.0pt;font-family:Symbol;color:#1F497D'><span sty=
le=3D'mso-list:Ignore'>&middot;<span style=3D'font:7.0pt "Times New Roman"'=
>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><![e=
ndif]><span lang=3DEN-GB style=3D'font-size:11.0pt;font-family:"Calibri","s=
ans-serif";color:#1F497D'>UC-1; As an endpoint I want to know which compose=
d layout the MCU supports, e.g. a named list of layout with a descriptive t=
ext similar to the video-layout element in XCON. [1]<o:p></o:p></span></p><=
p class=3DMsoListParagraph style=3D'text-indent:-.25in;mso-list:l0 level1 l=
fo2'><![if !supportLists]><span lang=3DEN-GB style=3D'font-size:11.0pt;font=
-family:Symbol;color:#1F497D'><span style=3D'mso-list:Ignore'>&middot;<span=
 style=3D'font:7.0pt "Times New Roman"'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp=
;&nbsp;&nbsp; </span></span></span><![endif]><span lang=3DEN-GB style=3D'fo=
nt-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>UC-2: As a=
n endpoint I want to request a composed capture with a preferred layout bas=
ed on an available list, without a preference the MCU &nbsp;is free to choo=
se a layout that works nicely with the connected participants and captures =
available. <o:p></o:p></span></p><p class=3DMsoListParagraph style=3D'text-=
indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span lang=3DEN=
-GB style=3D'font-size:11.0pt;font-family:Symbol;color:#1F497D'><span style=
=3D'mso-list:Ignore'>&middot;<span style=3D'font:7.0pt "Times New Roman"'>&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><![end=
if]><span lang=3DEN-GB style=3D'font-size:11.0pt;font-family:"Calibri","san=
s-serif";color:#1F497D'>UC-3; As an endpoint I want to receive information =
about the content of a composed capture and receive updates when the compos=
ition changes. <o:p></o:p></span></p><p class=3DMsoNormal><span lang=3DEN-G=
B style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span lang=3DEN-GB styl=
e=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>UC-=
0 only requires CLUE to have a Boolean to enable/disable composed layouts, =
which I think is sufficient for CLUE version 1. <o:p></o:p></span></p><p cl=
ass=3DMsoNormal><span lang=3DEN-GB style=3D'font-size:11.0pt;font-family:"C=
alibri","sans-serif";color:#1F497D'><o:p>&nbsp;</o:p></span></p><p class=3D=
MsoNormal><span lang=3DEN-GB style=3D'font-size:11.0pt;font-family:"Calibri=
","sans-serif";color:#1F497D'>The remaining use cases are also valid for re=
lated IETF standards like XCON. I do think that the CLUE protocol must be e=
xtensible (as stated in the charter) and allow for integration with another=
 protocol for layout control or as a vendor extension to CLUE.&nbsp; <o:p><=
/o:p></span></p><p class=3DMsoNormal><span lang=3DEN-GB style=3D'font-size:=
11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p>&nbsp;</o:p><=
/span></p><p class=3DMsoNormal><span lang=3DEN-GB style=3D'font-size:11.0pt=
;font-family:"Calibri","sans-serif";color:#1F497D'>Cheers <o:p></o:p></span=
></p><p class=3DMsoNormal><span lang=3DEN-GB style=3D'font-size:11.0pt;font=
-family:"Calibri","sans-serif";color:#1F497D'><o:p>&nbsp;</o:p></span></p><=
p class=3DMsoNormal><span lang=3DEN-GB style=3D'font-size:11.0pt;font-famil=
y:"Calibri","sans-serif";color:#1F497D'>-Espen <o:p></o:p></span></p><p cla=
ss=3DMsoNormal><span lang=3DEN-GB style=3D'font-size:11.0pt;font-family:"Ca=
libri","sans-serif";color:#1F497D'><o:p>&nbsp;</o:p></span></p><p class=3DM=
soNormal><span lang=3DEN-GB style=3D'font-size:11.0pt;font-family:"Calibri"=
,"sans-serif";color:#1F497D'>[1] XCON data model, <a href=3D"http://tools.i=
etf.org/html/rfc6501">http://tools.ietf.org/html/rfc6501</a><o:p></o:p></sp=
an></p><p class=3DMsoNormal><span lang=3DEN-GB style=3D'font-size:11.0pt;fo=
nt-family:"Calibri","sans-serif";color:#1F497D'><o:p>&nbsp;</o:p></span></p=
><p class=3DMsoNormal><span lang=3DEN-GB style=3D'font-size:11.0pt;font-fam=
ily:"Calibri","sans-serif";color:#1F497D'><o:p>&nbsp;</o:p></span></p><div>=
<div style=3D'border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in'><p class=3DMsoNormal><b><span style=3D'font-size:10.0pt;font-famil=
y:"Tahoma","sans-serif"'>From:</span></b><span style=3D'font-size:10.0pt;fo=
nt-family:"Tahoma","sans-serif"'> clue-bounces@ietf.org [mailto:clue-bounce=
s@ietf.org] <b>On Behalf Of </b>Roni Even<br><b>Sent:</b> 24. juli 2012 15:=
30<br><b>To:</b> 'Stephan Wenger'; clue@ietf.org<br><b>Subject:</b> Re: [cl=
ue] Open Ticket 5 - composed captures<o:p></o:p></span></p></div></div><p c=
lass=3DMsoNormal><span lang=3DNO-BOK><o:p>&nbsp;</o:p></span></p><p class=
=3DMsoNormal><span style=3D'font-size:11.0pt;font-family:"Calibri","sans-se=
rif";color:#1F497D'>Hi Stephan,<o:p></o:p></span></p><p class=3DMsoNormal><=
span style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F=
497D'>I agree with your view about decomposition a mixed captures to indivi=
dual tiles. I am not sure about SEI message if we want this for any codec, =
maybe RTP header extension is another way.<o:p></o:p></span></p><p class=3D=
MsoNormal><span style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif=
";color:#1F497D'>As for the use case you described, I think that people are=
 looking at using SVC to send a mixed image that can be decomposed easily. =
<o:p></o:p></span></p><p class=3DMsoNormal><span style=3D'font-size:11.0pt;=
font-family:"Calibri","sans-serif";color:#1F497D'><o:p>&nbsp;</o:p></span><=
/p><p class=3DMsoNormal><span style=3D'font-size:11.0pt;font-family:"Calibr=
i","sans-serif";color:#1F497D'>This will still leave open the issue of whic=
h source &nbsp;is in the current mix and in in which tile, which is what I =
think what others had in mind when discussing composed capture description.=
<o:p></o:p></span></p><p class=3DMsoNormal><span style=3D'font-size:11.0pt;=
font-family:"Calibri","sans-serif";color:#1F497D'><o:p>&nbsp;</o:p></span><=
/p><p class=3DMsoNormal><span style=3D'font-size:11.0pt;font-family:"Calibr=
i","sans-serif";color:#1F497D'>Roni<o:p></o:p></span></p><p class=3DMsoNorm=
al><span style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color=
:#1F497D'><o:p>&nbsp;</o:p></span></p><div><div style=3D'border:none;border=
-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in 0in 0in'><p class=3DMsoNormal><b=
><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</=
span></b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'=
> <a href=3D"mailto:clue-bounces@ietf.org">clue-bounces@ietf.org</a> <a hre=
f=3D"mailto:[mailto:clue-bounces@ietf.org]">[mailto:clue-bounces@ietf.org]<=
/a> <b>On Behalf Of </b>Stephan Wenger<br><b>Sent:</b> 24 July, 2012 2:01 P=
M<br><b>To:</b> <a href=3D"mailto:clue@ietf.org">clue@ietf.org</a><br><b>Su=
bject:</b> [clue] Open Ticket 5 - composed captures<o:p></o:p></span></p></=
div></div><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><div><p class=3DMsoNorm=
al><span style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color=
:black'>Hi all,<o:p></o:p></span></p></div><div><p class=3DMsoNormal><span =
style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'><=
o:p>&nbsp;</o:p></span></p></div><div><p class=3DMsoNormal><span style=3D'f=
ont-size:10.5pt;font-family:"Calibri","sans-serif";color:black'>I had some =
private conversations with Steve and Mark about composed pictures. &nbsp;Th=
ey offered me time from the framework timeslot in the hopes that we can clo=
se the subject. &nbsp;Thank you again. &nbsp;However, I think we can close =
it even on the list:<o:p></o:p></span></p></div><div><p class=3DMsoNormal><=
span style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:bla=
ck'><o:p>&nbsp;</o:p></span></p></div><div><p class=3DMsoNormal><span style=
=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color:black'>To ref=
resh everyone's memory, my proposal has been to include (optionally) in the=
 description of a composed video capture those attributes that are needed t=
o decompose the capture in order to forward (after re-encoding) the tiles o=
f an MCU-generated, tiled image as individual streams. &nbsp;I continue to =
believe that this use case is valid. &nbsp;However, after thinking a bit mo=
re, I now believe that CLUE may not be the right protocol mechanism to conv=
ey the information necessary for decomposition, for example the coordinates=
 of each tile in the composed picture. &nbsp;The reason is that CLUE is not=
 a real time protocol synchronized with the video bitstream. &nbsp;In many =
(most?) practical MCU based sessions, there is some form of real-time image=
 swapping, voice activated or otherwise.&nbsp;<o:p></o:p></span></p></div><=
div><p class=3DMsoNormal><span style=3D'font-size:10.5pt;font-family:"Calib=
ri","sans-serif";color:black'><o:p>&nbsp;</o:p></span></p></div><div><p cla=
ss=3DMsoNormal><span style=3D'font-size:10.5pt;font-family:"Calibri","sans-=
serif";color:black'>Decomposition of such sessions with protocol means not =
synchronized with the video (at a single frame accuracy, i.e. 1/60th of a s=
econd) will lead to annoying artifacts at the receivers end. &nbsp;I don't =
believe that the CLUE protocol will ever have such a real-time property. &n=
bsp;Therefore, the appropriate place for de-composition information is not =
in a CLUE protocol transaction, but in something synchronized with video, m=
ost likely in-band as a Supplementary Enhancement Information (SEI) message=
.<o:p></o:p></span></p></div><div><p class=3DMsoNormal><span style=3D'font-=
size:10.5pt;font-family:"Calibri","sans-serif";color:black'><o:p>&nbsp;</o:=
p></span></p></div><div><p class=3DMsoNormal><span style=3D'font-size:10.5p=
t;font-family:"Calibri","sans-serif";color:black'>Unless someone else point=
s out an error in this train of thought, I'm OK with a single flag per capt=
ure indicating a composed capture for CLUE's first version. &nbsp;I will al=
so think about an appropriate SEI message format that could be suggested to=
 the video standards bodies such as VCEG and MPEG.<o:p></o:p></span></p></d=
iv><div><p class=3DMsoNormal><span style=3D'font-size:10.5pt;font-family:"C=
alibri","sans-serif";color:black'><o:p>&nbsp;</o:p></span></p></div><div><p=
 class=3DMsoNormal><span style=3D'font-size:10.5pt;font-family:"Calibri","s=
ans-serif";color:black'>Thoughts?<o:p></o:p></span></p></div><div><p class=
=3DMsoNormal><span style=3D'font-size:10.5pt;font-family:"Calibri","sans-se=
rif";color:black'><o:p>&nbsp;</o:p></span></p></div><div><p class=3DMsoNorm=
al><span style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";color=
:black'>See you soon in YVR,<o:p></o:p></span></p></div><div><p class=3DMso=
Normal><span style=3D'font-size:10.5pt;font-family:"Calibri","sans-serif";c=
olor:black'>Stephan<o:p></o:p></span></p></div></div></div></body></html>=

--_000_44C6B6B2D0CF424AA90B6055548D7A61038F4669B6CRPMBOXPRD01p_--

From Christian.Groves@nteczone.com  Tue Jul 24 16:43:46 2012
Return-Path: <Christian.Groves@nteczone.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id CAB0221F84EC for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 16:43:46 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.513
X-Spam-Level: 
X-Spam-Status: No, score=-2.513 tagged_above=-999 required=5 tests=[AWL=0.086,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id tnmQM-wczVCC for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 16:43:46 -0700 (PDT)
Received: from ipmail04.adl6.internode.on.net (ipmail04.adl6.internode.on.net [IPv6:2001:44b8:8060:ff02:300:1:6:4]) by ietfa.amsl.com (Postfix) with ESMTP id 4802821F84EB for <clue@ietf.org>; Tue, 24 Jul 2012 16:43:45 -0700 (PDT)
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: ApMBAG8yD1B20clt/2dsb2JhbAANOL0sAQEBBAEBATUbGwQGAQwECxEEAQEBCRYIBwkDAgECARUfCQgGDQEFAgEBiBSnHpQTBItLFIZgA6hHgUQF
Received: from ppp118-209-201-109.lns20.mel6.internode.on.net (HELO [127.0.0.1]) ([118.209.201.109]) by ipmail04.adl6.internode.on.net with ESMTP; 25 Jul 2012 09:13:42 +0930
Message-ID: <500F332B.2070502@nteczone.com>
Date: Wed, 25 Jul 2012 09:43:39 +1000
From: Christian Groves <Christian.Groves@nteczone.com>
User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:14.0) Gecko/20120713 Thunderbird/14.0
MIME-Version: 1.0
To: "Espen Berger (espeberg)" <espeberg@cisco.com>
References: <500DE568.1030909@nteczone.com> <500DE806.8050101@alum.mit.edu> <44C6B6B2D0CF424AA90B6055548D7A61038F466790@CRPMBOXPRD01.polycom.com> <E8F5F2C7B2623641BD9ABF0B622D726D023678@xmb-rcd-x11.cisco.com>
In-Reply-To: <E8F5F2C7B2623641BD9ABF0B622D726D023678@xmb-rcd-x11.cisco.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Cc: "clue@ietf.org" <clue@ietf.org>
Subject: Re: [clue] Capture Scene Entry question
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 24 Jul 2012 23:43:46 -0000

Hello Espen, Mark and Paul,

My initial preference was to use multiple capture scene entries to for 
the scenario I proposed. However in looking at the draft I couldn't see 
anything that offered guidance of what the grouping of capture into a 
capture set entry actually implies.

For example, Espen indicates that it has the meaning of "choose all 
captures in a capture scene entry to get a good rendering". I would 
agree with this statement but I didn't see anywhere is the draft that 
describes the decision process as to how captures are grouped. The 
framework draft actually says that a consumer may chose a subset of the 
captures in a scene entry but doesn't say what the effect may be.

Another example is the presumed priority in the listing of entries. I 
think having some mechanism to indicate the priority between captures is 
worthwhile but I don't think that its currently specified in the 
framework draft.

Espen: in your example below I would have thought that this would be a 
single Capture scene? I say this because being in the same room there is 
a spatial relationship between all the captures. The draft says that 
"there is no spatial relationship between media captures that are in 
different capture scenes."

Also related to this is the use of "description". Again I think that 
having some keyword to describe what the capture is related to is good. 
I've also been looking at the "Content" attribute and I don't think its 
sufficient for CLUE.  Paul and I are working on some text to describe 
the issues and describe the alternatives.

Regards, Christian

On 25/07/2012 12:42 AM, Espen Berger (espeberg) wrote:
> Christian, I have ready the capture scene entry as meaning 'choose all capture in a capture scene entry to get a good rendering of a capture scene". So I would model your example as { VC1, VC2, VC3} or { VC4  } . A consumer should request all captures in an entry to have a complete entry,  to discourage endpoints to only request VC2 to get half of a rendering.
>
> For the classroom example I think it's natural to model speaker and audience with two capture-scenes.
>
> capture-scene id="1" description="Speaker"
>    Entry: VC1  // Available as a single video capture.
>
> capture-scene id="2" description="Audience"
>    Entry: VC1 // A single capture view of the audience
>    Entry2: VC2, VC3, VC4  // A triple capture view of the audience
>
> For the audience capture scene a consumer must choose between the two rendering alternatives depending on the consumer preference.
>
> Notes
>   * As a provider the 'speaker' is more important, so its listed first in the advertisement.
>   * If the capture scene with audience does not have a single capture alternative, it will exclude many receivers to do sensible renderings of the room.
>
> Cheers
>
> -Espen
>
>
> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Duckworth, Mark
> Sent: 24. juli 2012 13:26
> To: clue@ietf.org
> Subject: Re: [clue] Capture Scene Entry question
>
> Christian,
> Your first example capture scene, with two separate entries, is exactly the sort of thing intended by the framework.  The first entry (VC1, VC2, VC3) is one good alternative for representing the scene, and the second entry (VC4) is another good alternative.
>
> But there shouldn't be anything stopping you from advertising your second example, with (VC1, VC2, VC3, VC4) all in the same entry.  But this entry by itself is not helpful for a consumer that doesn't want to (or can't) receive all four captures.
>
> Paul,
> Your classroom suggestion makes sense.  But the provider might also want to advertise capture scene entries with fewer captures per entry in order to suggest which captures a more limited consumer might find most useful.
> Another possible way to do it is to put the students in one scene and the teacher in another scene.
>
> Mark
>
>> -----Original Message-----
>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf
>> Of Paul Kyzivat
>> Sent: Monday, July 23, 2012 8:11 PM
>> To: clue@ietf.org
>> Subject: Re: [clue] Capture Scene Entry question
>>
>> [as individual]
>>
>> On 7/23/12 7:59 PM, Christian Groves wrote:
>>> Hello all,
>>>
>>> In reading the framework document I'm having trouble understanding
>>> exactly what a "Capture Scene Entry" is. In the framework it is defined as:
>>> /*Capture Scene Entry: a list of media captures of the same media
>>> type that together form one way to represent the capture scene./
>>>
>>> it also says:
>>> /A media provider arranges media captures in a capture scene to help
>>> the media consumer choose which captures it wants. The capture scene
>>> entries in a capture scene are different alternatives the provider
>>> is suggesting for representing the capture scene./
>>>
>>> I'm wondering how people interpret "one way" and "different alternatives"?
>>> You could interpret this as meaning that each "Capture Scene Entry"
>>> shows an entire scene, or you could interpret this as meaning that
>>> each "Capture Scene Entry" could show part of the overall scene.
>>>
>>> At least from my reading of the framework both interpretations are
>>> allowed. Is there a preferred interpretation?
>>> For example: if VC1,VC2,VC3 are three main cameras, VC4 is an camera
>>> that automatically zooms in on the active speaker. I could construct
>>> a capture scenes with one or two capture scene entries:
>>> +------------------+
>>> | Capture Scene #1 |
>>> +------------------+
>>> | VC1, VC2, VC3 |
>>> | VC4 |
>>> +------------------+
>>> or
>>> +--------------------+
>>> | Capture Scene #1 |
>>> +--------------------+
>>> | VC1, VC2, VC3, VC4 |
>>> +--------------------+
>>>
>>> What are people's thoughts?
>> As described above, VC4 is functionally similar to a switched capture
>> that switches between VC1,VC2,VC3. (But I don't know if it is similar
>> *enough* to label it as a switched capture. Without some such label
>> the receiver won't realize what sort of thing it is getting.)
>>
>> As such, this seems a valid way to construct entries.
>>
>> But suppose the scene represents a classroom situation, with
>> VC1,VC2,VC3 representing the "students" and VC4 represents the
>> "teacher". In that case, I think its necessary to place all four into
>> one entry. Putting
>> VC1,VC2,VC3 in one entry, and VC4 in another would mean that each only
>> provides a partial view of the scene. And so I would think that was
>> not a valid usage.
>>
>> I went back to the framework to see if it was clear about this. IMO it isn't.
>>
>> 	Thanks,
>> 	Paul
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From pkyzivat@alum.mit.edu  Tue Jul 24 17:25:52 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id B67B211E80A4 for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 17:25:52 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -1.288
X-Spam-Level: 
X-Spam-Status: No, score=-1.288 tagged_above=-999 required=5 tests=[AWL=-0.851, BAYES_00=-2.599, FH_RELAY_NODNS=1.451, HELO_MISMATCH_NET=0.611, RDNS_NONE=0.1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id JX-6fbZzD94G for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 17:25:51 -0700 (PDT)
Received: from qmta01.westchester.pa.mail.comcast.net (qmta01.westchester.pa.mail.comcast.net [IPv6:2001:558:fe14:43:76:96:62:16]) by ietfa.amsl.com (Postfix) with ESMTP id AB06511E8080 for <clue@ietf.org>; Tue, 24 Jul 2012 17:25:51 -0700 (PDT)
Received: from omta11.westchester.pa.mail.comcast.net ([76.96.62.36]) by qmta01.westchester.pa.mail.comcast.net with comcast id eQ6k1j0070mv7h051QRuDD; Wed, 25 Jul 2012 00:25:54 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta11.westchester.pa.mail.comcast.net with comcast id eQRo1j00p3ZTu2S3XQRorD; Wed, 25 Jul 2012 00:25:49 +0000
Message-ID: <500F3D0E.7060908@alum.mit.edu>
Date: Tue, 24 Jul 2012 20:25:50 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <500DE568.1030909@nteczone.com> <500DE806.8050101@alum.mit.edu> <44C6B6B2D0CF424AA90B6055548D7A61038F466790@CRPMBOXPRD01.polycom.com> <E8F5F2C7B2623641BD9ABF0B622D726D023678@xmb-rcd-x11.cisco.com> <500F332B.2070502@nteczone.com>
In-Reply-To: <500F332B.2070502@nteczone.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Capture Scene Entry question
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 25 Jul 2012 00:25:52 -0000

[as individual]

This discussion leads me to believe that the framework is not yet 
explicit enough about this stuff. More words are needed to make it clear.

Regarding the classroom case: Christian made the point that I intended 
to: If indeed the speaker and the students are in the same room then 
they share a common coordinate space. While it would be *possible* to 
represent this as two scenes, doing so throws away information about the 
relationship between the speaker and the students. For instance, the 
direction of gaze of the speaker is consistent with the location of the 
capture containing the student he is looking at. So I question *why* one 
might prefer to make these two scenes.

	Thanks,
	Paul

On 7/24/12 7:43 PM, Christian Groves wrote:
> Hello Espen, Mark and Paul,
>
> My initial preference was to use multiple capture scene entries to for
> the scenario I proposed. However in looking at the draft I couldn't see
> anything that offered guidance of what the grouping of capture into a
> capture set entry actually implies.
>
> For example, Espen indicates that it has the meaning of "choose all
> captures in a capture scene entry to get a good rendering". I would
> agree with this statement but I didn't see anywhere is the draft that
> describes the decision process as to how captures are grouped. The
> framework draft actually says that a consumer may chose a subset of the
> captures in a scene entry but doesn't say what the effect may be.
>
> Another example is the presumed priority in the listing of entries. I
> think having some mechanism to indicate the priority between captures is
> worthwhile but I don't think that its currently specified in the
> framework draft.
>
> Espen: in your example below I would have thought that this would be a
> single Capture scene? I say this because being in the same room there is
> a spatial relationship between all the captures. The draft says that
> "there is no spatial relationship between media captures that are in
> different capture scenes."
>
> Also related to this is the use of "description". Again I think that
> having some keyword to describe what the capture is related to is good.
> I've also been looking at the "Content" attribute and I don't think its
> sufficient for CLUE. Paul and I are working on some text to describe the
> issues and describe the alternatives.
>
> Regards, Christian
>
> On 25/07/2012 12:42 AM, Espen Berger (espeberg) wrote:
>> Christian, I have ready the capture scene entry as meaning 'choose all
>> capture in a capture scene entry to get a good rendering of a capture
>> scene". So I would model your example as { VC1, VC2, VC3} or { VC4 } .
>> A consumer should request all captures in an entry to have a complete
>> entry, to discourage endpoints to only request VC2 to get half of a
>> rendering.
>>
>> For the classroom example I think it's natural to model speaker and
>> audience with two capture-scenes.
>>
>> capture-scene id="1" description="Speaker"
>> Entry: VC1 // Available as a single video capture.
>>
>> capture-scene id="2" description="Audience"
>> Entry: VC1 // A single capture view of the audience
>> Entry2: VC2, VC3, VC4 // A triple capture view of the audience
>>
>> For the audience capture scene a consumer must choose between the two
>> rendering alternatives depending on the consumer preference.
>>
>> Notes
>> * As a provider the 'speaker' is more important, so its listed first
>> in the advertisement.
>> * If the capture scene with audience does not have a single capture
>> alternative, it will exclude many receivers to do sensible renderings
>> of the room.
>>
>> Cheers
>>
>> -Espen
>>
>>
>> -----Original Message-----
>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf
>> Of Duckworth, Mark
>> Sent: 24. juli 2012 13:26
>> To: clue@ietf.org
>> Subject: Re: [clue] Capture Scene Entry question
>>
>> Christian,
>> Your first example capture scene, with two separate entries, is
>> exactly the sort of thing intended by the framework. The first entry
>> (VC1, VC2, VC3) is one good alternative for representing the scene,
>> and the second entry (VC4) is another good alternative.
>>
>> But there shouldn't be anything stopping you from advertising your
>> second example, with (VC1, VC2, VC3, VC4) all in the same entry. But
>> this entry by itself is not helpful for a consumer that doesn't want
>> to (or can't) receive all four captures.
>>
>> Paul,
>> Your classroom suggestion makes sense. But the provider might also
>> want to advertise capture scene entries with fewer captures per entry
>> in order to suggest which captures a more limited consumer might find
>> most useful.
>> Another possible way to do it is to put the students in one scene and
>> the teacher in another scene.
>>
>> Mark
>>
>>> -----Original Message-----
>>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf
>>> Of Paul Kyzivat
>>> Sent: Monday, July 23, 2012 8:11 PM
>>> To: clue@ietf.org
>>> Subject: Re: [clue] Capture Scene Entry question
>>>
>>> [as individual]
>>>
>>> On 7/23/12 7:59 PM, Christian Groves wrote:
>>>> Hello all,
>>>>
>>>> In reading the framework document I'm having trouble understanding
>>>> exactly what a "Capture Scene Entry" is. In the framework it is
>>>> defined as:
>>>> /*Capture Scene Entry: a list of media captures of the same media
>>>> type that together form one way to represent the capture scene./
>>>>
>>>> it also says:
>>>> /A media provider arranges media captures in a capture scene to help
>>>> the media consumer choose which captures it wants. The capture scene
>>>> entries in a capture scene are different alternatives the provider
>>>> is suggesting for representing the capture scene./
>>>>
>>>> I'm wondering how people interpret "one way" and "different
>>>> alternatives"?
>>>> You could interpret this as meaning that each "Capture Scene Entry"
>>>> shows an entire scene, or you could interpret this as meaning that
>>>> each "Capture Scene Entry" could show part of the overall scene.
>>>>
>>>> At least from my reading of the framework both interpretations are
>>>> allowed. Is there a preferred interpretation?
>>>> For example: if VC1,VC2,VC3 are three main cameras, VC4 is an camera
>>>> that automatically zooms in on the active speaker. I could construct
>>>> a capture scenes with one or two capture scene entries:
>>>> +------------------+
>>>> | Capture Scene #1 |
>>>> +------------------+
>>>> | VC1, VC2, VC3 |
>>>> | VC4 |
>>>> +------------------+
>>>> or
>>>> +--------------------+
>>>> | Capture Scene #1 |
>>>> +--------------------+
>>>> | VC1, VC2, VC3, VC4 |
>>>> +--------------------+
>>>>
>>>> What are people's thoughts?
>>> As described above, VC4 is functionally similar to a switched capture
>>> that switches between VC1,VC2,VC3. (But I don't know if it is similar
>>> *enough* to label it as a switched capture. Without some such label
>>> the receiver won't realize what sort of thing it is getting.)
>>>
>>> As such, this seems a valid way to construct entries.
>>>
>>> But suppose the scene represents a classroom situation, with
>>> VC1,VC2,VC3 representing the "students" and VC4 represents the
>>> "teacher". In that case, I think its necessary to place all four into
>>> one entry. Putting
>>> VC1,VC2,VC3 in one entry, and VC4 in another would mean that each only
>>> provides a partial view of the scene. And so I would think that was
>>> not a valid usage.
>>>
>>> I went back to the framework to see if it was clear about this. IMO
>>> it isn't.
>>>
>>> Thanks,
>>> Paul
>>> _______________________________________________
>>> clue mailing list
>>> clue@ietf.org
>>> https://www.ietf.org/mailman/listinfo/clue
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
>>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From Christian.Groves@nteczone.com  Tue Jul 24 17:59:28 2012
Return-Path: <Christian.Groves@nteczone.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 13CC211E8080 for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 17:59:28 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.524
X-Spam-Level: 
X-Spam-Status: No, score=-2.524 tagged_above=-999 required=5 tests=[AWL=0.075,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id EkwUnzjEPYWa for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 17:59:27 -0700 (PDT)
Received: from ipmail04.adl6.internode.on.net (ipmail04.adl6.internode.on.net [IPv6:2001:44b8:8060:ff02:300:1:6:4]) by ietfa.amsl.com (Postfix) with ESMTP id DA71C21F84CF for <clue@ietf.org>; Tue, 24 Jul 2012 17:59:24 -0700 (PDT)
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: ApMBAAJED1B20clt/2dsb2JhbAANOL0sAQEBBAEBAS8BBRsbChELGAkWDwkDAgECARUwEwYCAQEFiA+nHZQUi0saCoM0gxwDqEeBTQ
Received: from ppp118-209-201-109.lns20.mel6.internode.on.net (HELO [127.0.0.1]) ([118.209.201.109]) by ipmail04.adl6.internode.on.net with ESMTP; 25 Jul 2012 10:29:23 +0930
Message-ID: <500F44E9.7010804@nteczone.com>
Date: Wed, 25 Jul 2012 10:59:21 +1000
From: Christian Groves <Christian.Groves@nteczone.com>
User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:14.0) Gecko/20120713 Thunderbird/14.0
MIME-Version: 1.0
To: clue@ietf.org
References: <44C6B6B2D0CF424AA90B6055548D7A61038F466863@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A61038F466863@CRPMBOXPRD01.polycom.com>
Content-Type: text/plain; charset=windows-1252; format=flowed
Content-Transfer-Encoding: 8bit
Subject: Re: [clue] Status of Ticket #8 how consumer differentiates between capture scenes
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 25 Jul 2012 00:59:28 -0000

Hello Mark,

I do think it would be worthwhile to add some further type of 
description about the individual captures. Although I'm not sure just 
including what is basically a free text field is the best way to do 
this. I think this issue of describing captures is also linked to the 
"Content" attribute. As I mentioned in another email I'm currently 
working with Paul to come up with some text / proposal to discuss 
further descriptions of individual captures.

Regards, Christian

On 25/07/2012 12:42 AM, Duckworth, Mark wrote:
>
> The framework includes a couple ways a provider advertisement can 
> include information to differentiate between multiple capture scenes 
> it is advertising.
>
> -Description attribute for capture scene
>
> -Content attribute for media captures
>
> When we added the Description attribute, we agreed to keep Ticket #8 
> open. Prior to that, we discussed Ticket #8 on the list but I don’t 
> remember any specific proposals or consensus other than the 
> Description attribute.
>
> Recently Espen suggested adding another description attribute for 
> media captures 
> <http://www.ietf.org/mail-archive/web/clue/current/msg01664.html>, 
> which could include even more text information to differentiate 
> between scenes, and to differentiate captures within a scene. I didn’t 
> see any responses to Espen’s proposal. I agree this could be useful, 
> but I’m not sure it’s necessary.
>
> So if anybody still thinks we need more information in the framework 
> for this issue, can you make a specific proposal? Or can we close this 
> ticket now?
>
> Mark
>
>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue


From Christian.Groves@nteczone.com  Tue Jul 24 18:28:40 2012
Return-Path: <Christian.Groves@nteczone.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 4974321F849D for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 18:28:40 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.532
X-Spam-Level: 
X-Spam-Status: No, score=-2.532 tagged_above=-999 required=5 tests=[AWL=0.067,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id hBiCMxxBV0jx for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 18:28:39 -0700 (PDT)
Received: from ipmail04.adl6.internode.on.net (ipmail04.adl6.internode.on.net [IPv6:2001:44b8:8060:ff02:300:1:6:4]) by ietfa.amsl.com (Postfix) with ESMTP id 3833321F849C for <clue@ietf.org>; Tue, 24 Jul 2012 18:28:39 -0700 (PDT)
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: ApMBACJLD1B20clt/2dsb2JhbAANOL0sAQEBBAEBATUbGwoRCxgJFg8JAwIBAgEVMBMGAgEBiBSnJpQSi0skgzSDHAOWXZFqgU0
Received: from ppp118-209-201-109.lns20.mel6.internode.on.net (HELO [127.0.0.1]) ([118.209.201.109]) by ipmail04.adl6.internode.on.net with ESMTP; 25 Jul 2012 10:58:15 +0930
Message-ID: <500F4BAC.5010200@nteczone.com>
Date: Wed, 25 Jul 2012 11:28:12 +1000
From: Christian Groves <Christian.Groves@nteczone.com>
User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:14.0) Gecko/20120713 Thunderbird/14.0
MIME-Version: 1.0
To: clue@ietf.org
References: <44C6B6B2D0CF424AA90B6055548D7A61038F4667C2@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A61038F4667C2@CRPMBOXPRD01.polycom.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Can we close Ticket #9 axis of capture?
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 25 Jul 2012 01:28:40 -0000

Hello Mark,

I don't know if there was no consensus there just didn't appear to any 
conclusion. There appeared to be the following points:
- I think both John and I found the name confusing
- There was also discussion regards to the placement of the second 
point, i.e. that it should lie between the point of capture and the area 
of capture.
- John had a point about the action if the attribute is included in error.
- Paul proposed possibly making a single attribute with two values.

So taking into above what I would propose would be:

Point on line of capture: {(X,Y,Z)}

A field with a single Cartesian (X, Y, Z) point value (virtual or 
physical) which describes a position in space of a second point on the 
optical axis of the capturing device; the first point being the Point of 
Capture (see above). This point MUST lie between the Point of Capture 
and the Area area of capture.

The Point on Line of Capture MUST be ignored if the Point of Capture is 
not present for this capture device.  When the Point on Line of Capture 
attribute is specified, it must include X, Y and Z coordinates.  These 
coordinates MUST NOT be identical to the Point of Capture coordinates.  
If the Point on Line of Capture is not specified, no assumptions are 
made about the optical axis of the capturing device.

John or Paul may have something to add/modify.

Regards, Christian

On 24/07/2012 10:50 PM, Duckworth, Mark wrote:
>
> We recently added an attribute in the framework to address Ticket #9 
> Axis of capture description 
> <http://trac.tools.ietf.org/wg/clue/trac/ticket/9>.  There were some 
> suggestions and discussion on the email list about changing some 
> details of the text.  But it seems there was no consensus to change 
> anything.  So can we close this ticket and keep the text as is?  
> Personally, that is my preference.
>
> Mark
>
>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue


From lennard.xiao@huawei.com  Tue Jul 24 19:43:18 2012
Return-Path: <lennard.xiao@huawei.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id B611021F851C for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 19:43:18 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.599
X-Spam-Level: 
X-Spam-Status: No, score=-6.599 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 8-Mvk4JNbeTQ for <clue@ietfa.amsl.com>; Tue, 24 Jul 2012 19:43:18 -0700 (PDT)
Received: from dfwrgout.huawei.com (dfwrgout.huawei.com [206.16.17.72]) by ietfa.amsl.com (Postfix) with ESMTP id 16BE221F8518 for <clue@ietf.org>; Tue, 24 Jul 2012 19:43:18 -0700 (PDT)
Received: from 172.18.9.243 (EHLO dfweml201-edg.china.huawei.com) ([172.18.9.243]) by dfwrg01-dlp.huawei.com (MOS 4.2.3-GA FastPath) with ESMTP id AIH89279; Tue, 24 Jul 2012 22:43:17 -0400 (EDT)
Received: from DFWEML408-HUB.china.huawei.com (10.193.5.134) by dfweml201-edg.china.huawei.com (172.18.9.107) with Microsoft SMTP Server (TLS) id 14.1.323.3; Tue, 24 Jul 2012 19:40:22 -0700
Received: from SZXEML440-HUB.china.huawei.com (10.72.61.75) by dfweml408-hub.china.huawei.com (10.193.5.134) with Microsoft SMTP Server (TLS) id 14.1.323.3; Tue, 24 Jul 2012 19:40:25 -0700
Received: from SZXEML527-MBX.china.huawei.com ([169.254.3.194]) by SZXEML440-HUB.china.huawei.com ([10.72.61.75]) with mapi id 14.01.0323.003; Wed, 25 Jul 2012 10:40:18 +0800
From: Xiaojing <lennard.xiao@huawei.com>
To: "clue@ietf.org" <clue@ietf.org>
Thread-Topic: [clue] FW: New Version Notification for draft-xiao-clue-telemedical-use-case-00.txt
Thread-Index: AQHNXYDPHUZRNGw5ZUOatMn9pfTlZJc5Ussw
Date: Wed, 25 Jul 2012 02:40:17 +0000
Message-ID: <8A527E21B95EF842BC0E952D6E82297747DA1D4A@szxeml527-mbx.china.huawei.com>
Accept-Language: zh-CN, en-US
Content-Language: zh-CN
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.11.169.117]
Content-Type: text/plain; charset="utf-8"
Content-Transfer-Encoding: base64
MIME-Version: 1.0
X-CFilter-Loop: Reflected
Subject: [clue] FW: New Version Notification for	draft-xiao-clue-telemedical-use-case-00.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 25 Jul 2012 02:43:18 -0000
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From ron.even.tlv@gmail.com  Wed Jul 25 01:13:36 2012
Return-Path: <ron.even.tlv@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id F00B021F8535 for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 01:13:35 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.496
X-Spam-Level: 
X-Spam-Status: No, score=-3.496 tagged_above=-999 required=5 tests=[AWL=0.102,  BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 20Ocz0Cair0n for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 01:13:34 -0700 (PDT)
Received: from mail-wi0-f178.google.com (mail-wi0-f178.google.com [209.85.212.178]) by ietfa.amsl.com (Postfix) with ESMTP id 19D5D21F84B9 for <clue@ietf.org>; Wed, 25 Jul 2012 01:13:33 -0700 (PDT)
Received: by wibhr14 with SMTP id hr14so349124wib.13 for <clue@ietf.org>; Wed, 25 Jul 2012 01:13:33 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=from:to:subject:date:message-id:mime-version:content-type:x-mailer :thread-index:content-language; bh=pAOwDsi+4QNnnFmjeWf1K9MOy27fNfKLera5KlESc9g=; b=Osv6oMVI2EdTJfUquwclZHapeQcJ8Dv9lD0BWDQ7UnX4ZF+2FOQArFLStrpiWAXTx+ KmVdTEu/KqHEJbeNine/ScptpsxhhFAc9u2VO3TAHelkDHnQiSxltb0YE+gxRhuiPUR0 C67oazOKuFfNCO8eyk0BJDfLxpRvtYZjhqo5DK4bm8EFAlvGdWQ0exHV1XlzMUBZWFSH KgG5cpSJgdDJQslombupRJumm0VWIEN4gjBspe1uv0QR7zJnD19Gbq8CodNTxjyatni2 J4lfW932Mx8Rk2yLoXItBde/e3d3WijLWzLl3fpu46V64RTZu+l4/4/pfEnWtARt20fy 71iA==
Received: by 10.216.42.194 with SMTP id j44mr217049web.42.1343204013216; Wed, 25 Jul 2012 01:13:33 -0700 (PDT)
Received: from RoniE (bzq-79-176-214-12.red.bezeqint.net. [79.176.214.12]) by mx.google.com with ESMTPS id df4sm1418839wib.4.2012.07.25.01.13.31 (version=TLSv1/SSLv3 cipher=OTHER); Wed, 25 Jul 2012 01:13:32 -0700 (PDT)
From: "Roni Even" <ron.even.tlv@gmail.com>
To: <clue@ietf.org>
Date: Wed, 25 Jul 2012 11:12:29 +0200
Message-ID: <004c01cd6a45$9f6115c0$de234140$@gmail.com>
MIME-Version: 1.0
Content-Type: multipart/alternative; boundary="----=_NextPart_000_004D_01CD6A56.62EB6C60"
X-Mailer: Microsoft Outlook 14.0
Thread-Index: Ac1qRJ976QYoQHY1TzCVjPB5Kn2Pyg==
Content-Language: en-us
Subject: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 25 Jul 2012 08:13:36 -0000

This is a multipart message in MIME format.

------=_NextPart_000_004D_01CD6A56.62EB6C60
Content-Type: text/plain;
	charset="us-ascii"
Content-Transfer-Encoding: 7bit

Hi,

I am still trying to understand how the encoding groups and Id work.

 

Suppose the advertisement include four media captures.

 

VC1 - left camera

VC2 - center camera

VC3 - right camera

VC4 - switched 

 

The capture scene entries may be

 

(vc1,vc2,vc3,vc4)

(vc4)

 

VC4 appears in the both entries but it may have different encoding
constrains in both cases.

 

The encoding constrains have two values that reflect different resources.
One is for network bandwidth and the second is for the codec performance.

 

In the first capture scene entry VC4 does not require any additional codec
resource since it will use one from VC1,2 or 3. As for the network bandwidth
it may use if sent twice or may not need any resource if just mapped.

In the second capture scene entry VC4 will need resources.

 

How do you specify it with the encoding groups.

 

Thanks

Roni


------=_NextPart_000_004D_01CD6A56.62EB6C60
Content-Type: text/html;
	charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" =
xmlns:o=3D"urn:schemas-microsoft-com:office:office" =
xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" =
xmlns=3D"http://www.w3.org/TR/REC-html40"><head><META =
HTTP-EQUIV=3D"Content-Type" CONTENT=3D"text/html; =
charset=3Dus-ascii"><meta name=3DGenerator content=3D"Microsoft Word 14 =
(filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:11.0pt;
	font-family:"Calibri","sans-serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
span.EmailStyle17
	{mso-style-type:personal-compose;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.25in 1.0in 1.25in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue =
vlink=3Dpurple><div class=3DWordSection1><p =
class=3DMsoNormal>Hi,<o:p></o:p></p><p class=3DMsoNormal>I am still =
trying to understand how the encoding groups and Id =
work.<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p =
class=3DMsoNormal>Suppose the advertisement include four media =
captures.<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p =
class=3DMsoNormal>VC1 &#8211; left camera<o:p></o:p></p><p =
class=3DMsoNormal>VC2 &#8211; center camera<o:p></o:p></p><p =
class=3DMsoNormal>VC3 &#8211; right camera<o:p></o:p></p><p =
class=3DMsoNormal>VC4 &#8211; switched <o:p></o:p></p><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>The capture =
scene entries may be<o:p></o:p></p><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><p =
class=3DMsoNormal>(vc1,vc2,vc3,vc4)<o:p></o:p></p><p =
class=3DMsoNormal>(vc4)<o:p></o:p></p><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>VC4 appears =
in the both entries but it may have different encoding constrains in =
both cases.<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p =
class=3DMsoNormal>The encoding constrains have two values that reflect =
different resources. One is for network bandwidth and the second is for =
the codec performance.<o:p></o:p></p><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>In the first =
capture scene entry VC4 does not require any additional codec resource =
since it will use one from VC1,2 or 3. As for the network bandwidth it =
may use if sent twice or may not need any resource if just =
mapped.<o:p></o:p></p><p class=3DMsoNormal>In the second capture scene =
entry VC4 will need resources.<o:p></o:p></p><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>How do you =
specify it with the encoding groups.<o:p></o:p></p><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><p =
class=3DMsoNormal>Thanks<o:p></o:p></p><p =
class=3DMsoNormal>Roni<o:p></o:p></p></div></body></html>
------=_NextPart_000_004D_01CD6A56.62EB6C60--


From apeppere@gmail.com  Wed Jul 25 02:30:43 2012
Return-Path: <apeppere@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id CAD7921F84FE for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 02:30:43 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.598
X-Spam-Level: 
X-Spam-Status: No, score=-3.598 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id u27mdt6VtH7r for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 02:30:42 -0700 (PDT)
Received: from mail-vb0-f44.google.com (mail-vb0-f44.google.com [209.85.212.44]) by ietfa.amsl.com (Postfix) with ESMTP id 88DEA21F849D for <clue@ietf.org>; Wed, 25 Jul 2012 02:30:42 -0700 (PDT)
Received: by vbbez10 with SMTP id ez10so407029vbb.31 for <clue@ietf.org>; Wed, 25 Jul 2012 02:30:42 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=HE2VM79/NYi5Gh/6+U9CndiLXj/pFQz5HkBBsQsUdj4=; b=sqTniW71Vs25m06QZjZQXm10YqIj67lFasOJaCz/V8HCSur2FHBpBz/17Opgi6Pp9M 0BoaR/kNAtr2/bb3J/2SLoU8exWtH1efhUNpZE855PJK+Z+80Aiiynxfv2zl0WSlk+YE ZAsHr/460c+hBXTMtRWwLvUHTKB6U9lDLsjT2k3TUCnVVyALdBFNQXznPf8k8AAsWJ1c FZ4u2s+F+OqcScRo3FePeg/lBqKju5YNUXPly+7EGI8wpU9h/9c+Kpbu537zP4Px+85+ +Kd0xBc7tOPRzowsLTkpn2B+Tfk2CVrHiOPx4cOSBXRto8Si9YM/VTnizprk9bAUBVRh jU1g==
MIME-Version: 1.0
Received: by 10.52.36.180 with SMTP id r20mr15456835vdj.15.1343208641786; Wed, 25 Jul 2012 02:30:41 -0700 (PDT)
Received: by 10.220.36.1 with HTTP; Wed, 25 Jul 2012 02:30:41 -0700 (PDT)
In-Reply-To: <004c01cd6a45$9f6115c0$de234140$@gmail.com>
References: <004c01cd6a45$9f6115c0$de234140$@gmail.com>
Date: Wed, 25 Jul 2012 10:30:41 +0100
Message-ID: <CAA86=sOQY1W-q=-rA=Fy1EU61Ak79BMSnzGGS4+b4zikvCYnXg@mail.gmail.com>
From: Andy Pepperell <apeppere@gmail.com>
To: Roni Even <ron.even.tlv@gmail.com>
Content-Type: multipart/alternative; boundary=20cf307c9e0af3f52b04c5a421e2
Cc: clue@ietf.org
Subject: Re: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 25 Jul 2012 09:30:43 -0000

--20cf307c9e0af3f52b04c5a421e2
Content-Type: text/plain; charset=windows-1252
Content-Transfer-Encoding: quoted-printable

Hi Roni,

This is definitely an interesting case, with several different aspects to
it:

1) I don't believe you'd want to set up the capture scene entries in quite
that way; specifically, it's not really "valid" to put VC4 in the same
capture scene entry as VC1, VC2 and VC3, as VC4 is an alternative scene
representation to the VC1+VC2+VC3 entry.

2) You say that VC4 doesn't need any additional resource as it's just one
of VC1, VC2 or VC3. I'd add a caveat to this saying that CLUE doesn't
specify this one way or the other - it may be that a switched VC4 such as
you cite *is* a separate encoding, and we need to ensure the framework
handles both cases well (for instance, if there are 6 seats in total, VC4
might be an encoding of any 2 seats, not just the 1+2, 3+4, 5+6 implied by
the VC1, VC2 and VC3 capture scene entry).

3) There are encode and decode side issues here - on the decode side you
would need to set up 4 decoders if you want to receive all of VC1, VC2, VC3
and VC4 as you couldn't guarantee that VC4 was just one of the others. If
this was so, the consumer would then need to ensure that the summed encode
characteristics of all 4 capture encodings didn't exceed the consumer's
decode limits.

4) Perhaps a more optimal scenario for a consumer that wants to receive
VC1, VC2 and VC3 and have a single capture switched representation of the
same scene, would be to receive (and decode) VC1, VC2 and VC3 (each using
up to 1/3 of the consumer's decoding capability) and performing the segment
switching itself. This would seem to be the only way to guarantee to
achieve what you seem to be implying is always true, namely that VC4 is
just a copy somehow of one of VC1, VC2 and VC3.

My answer to what the consumer would ask for in this case would be that, if
it's decoding capability was high enough, it would be perfectly valid to
ask for each of VC1, VC2, VC3 and VC4 at up to either the encoding group's
maximum or 1/3 (specifically not 1/4) of that - in this scenario the
provider would be able to dynamically split the encode capability either
across 4 separate encodes or 3, depending on whether in fact VC4 was a
simple copy of one of the other captures or a new capture.

>How do you specify it with the encoding groups?

I think this isn't the most complex / subtle part of the question, but I
think it would be up to the provider to ensure that the encoding group
allowed up to 4 encodings (if it was happy to provide VC4 at the same time
as VC1, VC2, and VC3) or only 3 (if it were not). In the former case, each
encoding within the encoding group would need to allow up to at least 1/3
of the group's total capability in order for the case of VC4 being a copy
of one of the other 3 to work optimally. I would re-iterate though that I
do not believe there's any implicit "requirement" or expectation in the
example we're talking about here for VC4 to be just a copy of VC1, VC2 or
VC3, and the framework currently allows it to be a completely separate
capture (/ encoding) - the capture's switched attribute means that it
"represents the (dynamic) most appropriate subset of a 'whole'" according
to the current framework draft.

Hope this helps!

Andy



On Wed, Jul 25, 2012 at 10:12 AM, Roni Even <ron.even.tlv@gmail.com> wrote:

> Hi,****
>
> I am still trying to understand how the encoding groups and Id work.****
>
> ** **
>
> Suppose the advertisement include four media captures.****
>
> ** **
>
> VC1 =96 left camera****
>
> VC2 =96 center camera****
>
> VC3 =96 right camera****
>
> VC4 =96 switched ****
>
> ** **
>
> The capture scene entries may be****
>
> ** **
>
> (vc1,vc2,vc3,vc4)****
>
> (vc4)****
>
> ** **
>
> VC4 appears in the both entries but it may have different encoding
> constrains in both cases.****
>
> ** **
>
> The encoding constrains have two values that reflect different resources.
> One is for network bandwidth and the second is for the codec performance.=
*
> ***
>
> ** **
>
> In the first capture scene entry VC4 does not require any additional code=
c
> resource since it will use one from VC1,2 or 3. As for the network
> bandwidth it may use if sent twice or may not need any resource if just
> mapped.****
>
> In the second capture scene entry VC4 will need resources.****
>
> ** **
>
> How do you specify it with the encoding groups.****
>
> ** **
>
> Thanks****
>
> Roni****
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>
>

--20cf307c9e0af3f52b04c5a421e2
Content-Type: text/html; charset=windows-1252
Content-Transfer-Encoding: quoted-printable

Hi Roni,<div><br></div><div>This is definitely an interesting case, with se=
veral different aspects to it:</div><div><br></div><div>1) I don&#39;t beli=
eve you&#39;d want to set up the capture scene entries in quite that way; s=
pecifically, it&#39;s not really &quot;valid&quot; to put VC4 in the same c=
apture scene entry as VC1, VC2 and VC3, as VC4 is an alternative scene repr=
esentation to the VC1+VC2+VC3 entry.</div>
<div><br></div><div>2) You say that VC4 doesn&#39;t need any additional res=
ource as it&#39;s just one of VC1, VC2 or VC3. I&#39;d add a caveat to this=
 saying that CLUE doesn&#39;t specify this one way or the other - it may be=
 that a switched VC4 such as you cite *is* a separate encoding, and we need=
 to ensure the framework handles both cases well (for instance, if there ar=
e 6 seats in total, VC4 might be an encoding of any 2 seats, not just the 1=
+2, 3+4, 5+6 implied by the VC1, VC2 and VC3 capture scene entry).</div>
<div><br></div><div>3) There are encode and decode side issues here - on th=
e decode side you would need to set up 4 decoders if you want to receive al=
l of VC1, VC2, VC3 and VC4 as you couldn&#39;t guarantee that VC4 was just =
one of the others. If this was so, the consumer would then need to ensure t=
hat the summed encode characteristics of all 4 capture encodings didn&#39;t=
 exceed the consumer&#39;s decode limits.</div>
<div><br></div><div>4) Perhaps a more optimal scenario for a consumer that =
wants to receive VC1, VC2 and VC3 and have a single capture switched repres=
entation of the same scene, would be to receive (and decode) VC1, VC2 and V=
C3 (each using up to 1/3 of the consumer&#39;s decoding capability) and per=
forming the segment switching itself. This would seem to be the only way to=
 guarantee to achieve what you seem to be implying is always true, namely t=
hat VC4 is just a copy somehow of one of VC1, VC2 and VC3.</div>
<div><br></div><div>My answer to what the consumer would ask for in this ca=
se would be that, if it&#39;s decoding capability was high enough, it would=
 be perfectly valid to ask for each of VC1, VC2, VC3 and VC4 at up to eithe=
r the encoding group&#39;s maximum or 1/3 (specifically not 1/4) of that - =
in this scenario the provider would be able to dynamically split the encode=
 capability either across 4 separate encodes or 3, depending on whether in =
fact VC4 was a simple copy of one of the other captures or a new capture.</=
div>
<div><br></div><div>&gt;How do you specify it with the encoding groups?</di=
v><div><br></div><div>I think this isn&#39;t the most complex / subtle part=
 of the question, but I think it would be up to the provider to ensure that=
 the encoding group allowed up to 4 encodings (if it was happy to provide V=
C4 at the same time as VC1, VC2, and VC3) or only 3 (if it were not). In th=
e former case, each encoding within the encoding group would need to allow =
up to at least 1/3 of the group&#39;s total capability in order for the cas=
e of VC4 being a copy of one of the other 3 to work optimally. I would re-i=
terate though that I do not believe there&#39;s any implicit &quot;requirem=
ent&quot; or expectation in the example we&#39;re talking about here for VC=
4 to be just a copy of VC1, VC2 or VC3, and the framework currently allows =
it to be a completely separate capture (/ encoding) - the capture&#39;s swi=
tched attribute means that it &quot;represents the (dynamic) most appropria=
te subset of a=A0&#39;whole&#39;&quot; according to the current framework d=
raft.</div>
<div><br></div><div>Hope this helps!</div><div><br></div><div>Andy</div><di=
v><br></div><div><br><br><div class=3D"gmail_quote">On Wed, Jul 25, 2012 at=
 10:12 AM, Roni Even <span dir=3D"ltr">&lt;<a href=3D"mailto:ron.even.tlv@g=
mail.com" target=3D"_blank">ron.even.tlv@gmail.com</a>&gt;</span> wrote:<br=
>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex"><div lang=3D"EN-US" link=3D"blue" vlink=3D"p=
urple"><div><p class=3D"MsoNormal">Hi,<u></u><u></u></p><p class=3D"MsoNorm=
al">I am still trying to understand how the encoding groups and Id work.<u>=
</u><u></u></p>
<p class=3D"MsoNormal"><u></u>=A0<u></u></p><p class=3D"MsoNormal">Suppose =
the advertisement include four media captures.<u></u><u></u></p><p class=3D=
"MsoNormal"><u></u>=A0<u></u></p><p class=3D"MsoNormal">VC1 =96 left camera=
<u></u><u></u></p>
<p class=3D"MsoNormal">VC2 =96 center camera<u></u><u></u></p><p class=3D"M=
soNormal">VC3 =96 right camera<u></u><u></u></p><p class=3D"MsoNormal">VC4 =
=96 switched <u></u><u></u></p><p class=3D"MsoNormal"><u></u>=A0<u></u></p>=
<p class=3D"MsoNormal">
The capture scene entries may be<u></u><u></u></p><p class=3D"MsoNormal"><u=
></u>=A0<u></u></p><p class=3D"MsoNormal">(vc1,vc2,vc3,vc4)<u></u><u></u></=
p><p class=3D"MsoNormal">(vc4)<u></u><u></u></p><p class=3D"MsoNormal"><u><=
/u>=A0<u></u></p>
<p class=3D"MsoNormal">VC4 appears in the both entries but it may have diff=
erent encoding constrains in both cases.<u></u><u></u></p><p class=3D"MsoNo=
rmal"><u></u>=A0<u></u></p><p class=3D"MsoNormal">The encoding constrains h=
ave two values that reflect different resources. One is for network bandwid=
th and the second is for the codec performance.<u></u><u></u></p>
<p class=3D"MsoNormal"><u></u>=A0<u></u></p><p class=3D"MsoNormal">In the f=
irst capture scene entry VC4 does not require any additional codec resource=
 since it will use one from VC1,2 or 3. As for the network bandwidth it may=
 use if sent twice or may not need any resource if just mapped.<u></u><u></=
u></p>
<p class=3D"MsoNormal">In the second capture scene entry VC4 will need reso=
urces.<u></u><u></u></p><p class=3D"MsoNormal"><u></u>=A0<u></u></p><p clas=
s=3D"MsoNormal">How do you specify it with the encoding groups.<u></u><u></=
u></p>
<p class=3D"MsoNormal"><u></u>=A0<u></u></p><p class=3D"MsoNormal">Thanks<s=
pan class=3D"HOEnZb"><font color=3D"#888888"><u></u><u></u></font></span></=
p><span class=3D"HOEnZb"><font color=3D"#888888"><p class=3D"MsoNormal">Ron=
i<u></u><u></u></p>
</font></span></div></div><br>_____________________________________________=
__<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/listinfo/clue</a><br>
<br></blockquote></div><br></div>

--20cf307c9e0af3f52b04c5a421e2--

From ron.even.tlv@gmail.com  Wed Jul 25 03:42:46 2012
Return-Path: <ron.even.tlv@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 998EE21F859A for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 03:42:46 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.503
X-Spam-Level: 
X-Spam-Status: No, score=-3.503 tagged_above=-999 required=5 tests=[AWL=0.095,  BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id OMEZCJDI8-r0 for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 03:42:42 -0700 (PDT)
Received: from mail-wi0-f170.google.com (mail-wi0-f170.google.com [209.85.212.170]) by ietfa.amsl.com (Postfix) with ESMTP id CB34F21F84EB for <clue@ietf.org>; Wed, 25 Jul 2012 03:42:41 -0700 (PDT)
Received: by wibhq12 with SMTP id hq12so4361819wib.1 for <clue@ietf.org>; Wed, 25 Jul 2012 03:42:40 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=from:to:cc:references:in-reply-to:subject:date:message-id :mime-version:content-type:x-mailer:thread-index:content-language; bh=4pmfvQ1tq+OB8CC84j9ZUr6FOon/a8FStrreELmoxDQ=; b=JjiOQA3VmOGQigMD/gJcDBmkzcAjfKs00NFzgBxrYbHdfCTVj1MZC3qCearWXJRgfr wnb84xuC5TIZ/TwN9025zHfY8On7NMcVxduPSOttrVVEV5b0h6VphHzWz6gIclt9K6sN sZtyI3OHhWF86/gqXGUOKE/GsEYbelVSNEP5ncP1i7YlaHlhgRdu1JqQbPqLLYWr3jv9 bgh++5cFi36192O2zQizgCiCsWRurP9Vb2jrpERWdPYhorkJtZrvjR4fUv6s6njWpzEY vq34QZiSce5KIwyK/4fL7Pg9o9tUDOhuESs7cRI4VBvgy2qL0oC3lwk63kfxiuVUDYvs CPLw==
Received: by 10.180.14.193 with SMTP id r1mr3437692wic.19.1343212960607; Wed, 25 Jul 2012 03:42:40 -0700 (PDT)
Received: from RoniE (bzq-79-176-214-12.red.bezeqint.net. [79.176.214.12]) by mx.google.com with ESMTPS id bc2sm3101934wib.0.2012.07.25.03.42.37 (version=TLSv1/SSLv3 cipher=OTHER); Wed, 25 Jul 2012 03:42:39 -0700 (PDT)
From: "Roni Even" <ron.even.tlv@gmail.com>
To: "'Andy Pepperell'" <apeppere@gmail.com>
References: <004c01cd6a45$9f6115c0$de234140$@gmail.com> <CAA86=sOQY1W-q=-rA=Fy1EU61Ak79BMSnzGGS4+b4zikvCYnXg@mail.gmail.com>
In-Reply-To: <CAA86=sOQY1W-q=-rA=Fy1EU61Ak79BMSnzGGS4+b4zikvCYnXg@mail.gmail.com>
Date: Wed, 25 Jul 2012 13:41:36 +0200
Message-ID: <006901cd6a5a$744d3430$5ce79c90$@gmail.com>
MIME-Version: 1.0
Content-Type: multipart/alternative; boundary="----=_NextPart_000_006A_01CD6A6B.37D7B1E0"
X-Mailer: Microsoft Outlook 14.0
Thread-Index: AQKDrwqZuRpiwxPSzxtTrSp1seZOhgJc6hNLlbpqL1A=
Content-Language: en-us
Cc: clue@ietf.org
Subject: Re: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 25 Jul 2012 10:42:46 -0000

This is a multipart message in MIME format.

------=_NextPart_000_006A_01CD6A6B.37D7B1E0
Content-Type: text/plain;
	charset="us-ascii"
Content-Transfer-Encoding: 7bit

Hi Andy,

Thanks, see inline

Roni

 

From: Andy Pepperell [mailto:apeppere@gmail.com] 
Sent: 25 July, 2012 11:31 AM
To: Roni Even
Cc: clue@ietf.org
Subject: Re: [clue] Question about encoding values

 

Hi Roni,

 

This is definitely an interesting case, with several different aspects to
it:

 

1) I don't believe you'd want to set up the capture scene entries in quite
that way; specifically, it's not really "valid" to put VC4 in the same
capture scene entry as VC1, VC2 and VC3, as VC4 is an alternative scene
representation to the VC1+VC2+VC3 entry.

RE: As far as I read the framework there is nothing that says that a media
capture can only appear in on capture set entry. The only limitation is that
the MC must be mutually inclusive.

For example: you can have the following capture scene

(VC1,VC2)

(VC1,VC3)

(VC2,VC3)

(VC2,VC4)

(VC4)

 

2) You say that VC4 doesn't need any additional resource as it's just one of
VC1, VC2 or VC3. I'd add a caveat to this saying that CLUE doesn't specify
this one way or the other - it may be that a switched VC4 such as you cite
*is* a separate encoding, and we need to ensure the framework handles both
cases well (for instance, if there are 6 seats in total, VC4 might be an
encoding of any 2 seats, not just the 1+2, 3+4, 5+6 implied by the VC1, VC2
and VC3 capture scene entry).

 

RE: This is true and I think this is what I said. The consumer also have no
way to know based on the advertisement if this is a separate or same stream
as one of the others in the capture scene entry.

 

3) There are encode and decode side issues here - on the decode side you
would need to set up 4 decoders if you want to receive all of VC1, VC2, VC3
and VC4 as you couldn't guarantee that VC4 was just one of the others. If
this was so, the consumer would then need to ensure that the summed encode
characteristics of all 4 capture encodings didn't exceed the consumer's
decode limits.

 

RE: True, and this is a comment I had to media-9 in
draft-lennox-clue-rtp-usage-04

 

4) Perhaps a more optimal scenario for a consumer that wants to receive VC1,
VC2 and VC3 and have a single capture switched representation of the same
scene, would be to receive (and decode) VC1, VC2 and VC3 (each using up to
1/3 of the consumer's decoding capability) and performing the segment
switching itself. This would seem to be the only way to guarantee to achieve
what you seem to be implying is always true, namely that VC4 is just a copy
somehow of one of VC1, VC2 and VC3.

 

RE: it is true but we are talking about the protocol and what is allowed.
Also you are looking from the consumer side and not from the advertisement
side

 

My answer to what the consumer would ask for in this case would be that, if
it's decoding capability was high enough, it would be perfectly valid to ask
for each of VC1, VC2, VC3 and VC4 at up to either the encoding group's
maximum or 1/3 (specifically not 1/4) of that - in this scenario the
provider would be able to dynamically split the encode capability either
across 4 separate encodes or 3, depending on whether in fact VC4 was a
simple copy of one of the other captures or a new capture.

RE: I think that the consumer cannot know according to the current switched
attribute if VC4 is one of the other VCs or something else. Only the
provider will know and this should be reflected in the encoding information
advertisement.

 

>How do you specify it with the encoding groups?

 

I think this isn't the most complex / subtle part of the question, but I
think it would be up to the provider to ensure that the encoding group
allowed up to 4 encodings (if it was happy to provide VC4 at the same time
as VC1, VC2, and VC3) or only 3 (if it were not). In the former case, each
encoding within the encoding group would need to allow up to at least 1/3 of
the group's total capability in order for the case of VC4 being a copy of
one of the other 3 to work optimally. I would re-iterate though that I do
not believe there's any implicit "requirement" or expectation in the example
we're talking about here for VC4 to be just a copy of VC1, VC2 or VC3, and
the framework currently allows it to be a completely separate capture (/
encoding) - the capture's switched attribute means that it "represents the
(dynamic) most appropriate subset of a 'whole'" according to the current
framework draft.

 

RE: so what understand is that the advertisement in the encoding group
should allow for VC4 to use an entry that will allow for VC4 sent alone and
the consumer need to limit he configures VC4 as part of the capture scene
entry with VC1-3

 

So VC4 for example may be able to do up to 1080P30fps at 4Mbit/sec but when
used with the other VCs the consumer may limit VC4 to SD and 1 Mbit/sec

 

Hope this helps!

 

Andy

 

 

On Wed, Jul 25, 2012 at 10:12 AM, Roni Even <ron.even.tlv@gmail.com> wrote:

Hi,

I am still trying to understand how the encoding groups and Id work.

 

Suppose the advertisement include four media captures.

 

VC1 - left camera

VC2 - center camera

VC3 - right camera

VC4 - switched 

 

The capture scene entries may be

 

(vc1,vc2,vc3,vc4)

(vc4)

 

VC4 appears in the both entries but it may have different encoding
constrains in both cases.

 

The encoding constrains have two values that reflect different resources.
One is for network bandwidth and the second is for the codec performance.

 

In the first capture scene entry VC4 does not require any additional codec
resource since it will use one from VC1,2 or 3. As for the network bandwidth
it may use if sent twice or may not need any resource if just mapped.

In the second capture scene entry VC4 will need resources.

 

How do you specify it with the encoding groups.

 

Thanks

Roni


_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

 


------=_NextPart_000_006A_01CD6A6B.37D7B1E0
Content-Type: text/html;
	charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" =
xmlns:o=3D"urn:schemas-microsoft-com:office:office" =
xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" =
xmlns=3D"http://www.w3.org/TR/REC-html40"><head><meta =
http-equiv=3DContent-Type content=3D"text/html; =
charset=3Dus-ascii"><meta name=3DGenerator content=3D"Microsoft Word 14 =
(filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
p.MsoListParagraph, li.MsoListParagraph, div.MsoListParagraph
	{mso-style-priority:34;
	margin-top:0in;
	margin-right:0in;
	margin-bottom:0in;
	margin-left:.5in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
span.hoenzb
	{mso-style-name:hoenzb;}
span.EmailStyle18
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.25in 1.0in 1.25in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue =
vlink=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Hi Andy,<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Thanks, see inline<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Roni<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span>=
</b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
Andy Pepperell [mailto:apeppere@gmail.com] <br><b>Sent:</b> 25 July, =
2012 11:31 AM<br><b>To:</b> Roni Even<br><b>Cc:</b> =
clue@ietf.org<br><b>Subject:</b> Re: [clue] Question about encoding =
values<o:p></o:p></span></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p =
class=3DMsoNormal>Hi Roni,<o:p></o:p></p><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>This is definitely an interesting case, with several =
different aspects to it:<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>1) I don't believe you'd want to set up the capture =
scene entries in quite that way; specifically, it's not really =
&quot;valid&quot; to put VC4 in the same capture scene entry as VC1, VC2 =
and VC3, as VC4 is an alternative scene representation to the =
VC1+VC2+VC3 entry.<o:p></o:p></p><p class=3DMsoNormal><span =
style=3D'color:#1F497D'>RE: As far as I read the framework there is =
nothing that says that a media capture can only appear in on capture set =
entry. The only limitation is that the MC must be mutually =
inclusive.<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'color:#1F497D'>For example: you can have the following capture =
scene<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'color:#1F497D'>(VC1,VC2)<o:p></o:p></span></p><p =
class=3DMsoNormal><span =
style=3D'color:#1F497D'>(VC1,VC3)<o:p></o:p></span></p><p =
class=3DMsoNormal><span =
style=3D'color:#1F497D'>(VC2,VC3)<o:p></o:p></span></p><p =
class=3DMsoNormal><span =
style=3D'color:#1F497D'>(VC2,VC4)<o:p></o:p></span></p><p =
class=3DMsoNormal><span =
style=3D'color:#1F497D'>(VC4)<o:p></o:p></span></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>2) You say that VC4 doesn't need any additional =
resource as it's just one of VC1, VC2 or VC3. I'd add a caveat to this =
saying that CLUE doesn't specify this one way or the other - it may be =
that a switched VC4 such as you cite *is* a separate encoding, and we =
need to ensure the framework handles both cases well (for instance, if =
there are 6 seats in total, VC4 might be an encoding of any 2 seats, not =
just the 1+2, 3+4, 5+6 implied by the VC1, VC2 and VC3 capture scene =
entry).<o:p></o:p></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>RE: This is true and I think this is what I said. The consumer also =
have no way to know based on the advertisement if this is a separate or =
same stream as one of the others in the capture scene =
entry.<o:p></o:p></span></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>3) There are encode and decode side issues here - on =
the decode side you would need to set up 4 decoders if you want to =
receive all of VC1, VC2, VC3 and VC4 as you couldn't guarantee that VC4 =
was just one of the others. If this was so, the consumer would then need =
to ensure that the summed encode characteristics of all 4 capture =
encodings didn't exceed the consumer's decode limits.<o:p></o:p></p><p =
class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>RE: True, and this is a comment I had to media-9 in =
draft-lennox-clue-rtp-usage-04<o:p></o:p></span></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>4) Perhaps a more optimal scenario for a consumer that =
wants to receive VC1, VC2 and VC3 and have a single capture switched =
representation of the same scene, would be to receive (and decode) VC1, =
VC2 and VC3 (each using up to 1/3 of the consumer's decoding capability) =
and performing the segment switching itself. This would seem to be the =
only way to guarantee to achieve what you seem to be implying is always =
true, namely that VC4 is just a copy somehow of one of VC1, VC2 and =
VC3.<o:p></o:p></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>RE: it is true but we are talking about the protocol and what is =
allowed. Also you are looking from the consumer side and not from the =
advertisement side<o:p></o:p></span></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>My answer to what the consumer would ask for in this =
case would be that, if it's decoding capability was high enough, it =
would be perfectly valid to ask for each of VC1, VC2, VC3 and VC4 at up =
to either the encoding group's maximum or 1/3 (specifically not 1/4) of =
that - in this scenario the provider would be able to dynamically split =
the encode capability either across 4 separate encodes or 3, depending =
on whether in fact VC4 was a simple copy of one of the other captures or =
a new capture.<o:p></o:p></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>RE: I think that the consumer cannot know according to the current =
switched attribute if VC4 is one of the other VCs or something else. =
Only the provider will know and this should be reflected in the encoding =
information advertisement.<o:p></o:p></span></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>&gt;How do you specify it with the encoding =
groups?<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p class=3DMsoNormal>I =
think this isn't the most complex / subtle part of the question, but I =
think it would be up to the provider to ensure that the encoding group =
allowed up to 4 encodings (if it was happy to provide VC4 at the same =
time as VC1, VC2, and VC3) or only 3 (if it were not). In the former =
case, each encoding within the encoding group would need to allow up to =
at least 1/3 of the group's total capability in order for the case of =
VC4 being a copy of one of the other 3 to work optimally. I would =
re-iterate though that I do not believe there's any implicit =
&quot;requirement&quot; or expectation in the example we're talking =
about here for VC4 to be just a copy of VC1, VC2 or VC3, and the =
framework currently allows it to be a completely separate capture (/ =
encoding) - the capture's switched attribute means that it =
&quot;represents the (dynamic) most appropriate subset of =
a&nbsp;'whole'&quot; according to the current framework =
draft.<o:p></o:p></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>RE: so what understand is that the advertisement in the encoding =
group should allow for VC4 to use an entry that will allow for VC4 sent =
alone and the consumer need to limit he configures VC4 as part of the =
capture scene entry with VC1-3<o:p></o:p></span></p><p =
class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>So VC4 for example may be able to do up to 1080P30fps at 4Mbit/sec =
but when used with the other VCs the consumer may limit VC4 to SD and 1 =
Mbit/sec<o:p></o:p></span></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>Hope this helps!<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>Andy<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p class=3DMsoNormal =
style=3D'margin-bottom:12.0pt'><o:p>&nbsp;</o:p></p><div><p =
class=3DMsoNormal>On Wed, Jul 25, 2012 at 10:12 AM, Roni Even &lt;<a =
href=3D"mailto:ron.even.tlv@gmail.com" =
target=3D"_blank">ron.even.tlv@gmail.com</a>&gt; =
wrote:<o:p></o:p></p><div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Hi,<o:p></o:=
p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>I am still =
trying to understand how the encoding groups and Id =
work.<o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Suppose the =
advertisement include four media captures.<o:p></o:p></p><p =
class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>VC1 &#8211; =
left camera<o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>VC2 &#8211; =
center camera<o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>VC3 &#8211; =
right camera<o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>VC4 &#8211; =
switched <o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>The capture =
scene entries may be<o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>(vc1,vc2,vc3=
,vc4)<o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>(vc4)<o:p></=
o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>VC4 appears =
in the both entries but it may have different encoding constrains in =
both cases.<o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>The =
encoding constrains have two values that reflect different resources. =
One is for network bandwidth and the second is for the codec =
performance.<o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>In the =
first capture scene entry VC4 does not require any additional codec =
resource since it will use one from VC1,2 or 3. As for the network =
bandwidth it may use if sent twice or may not need any resource if just =
mapped.<o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>In the =
second capture scene entry VC4 will need resources.<o:p></o:p></p><p =
class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>How do you =
specify it with the encoding groups.<o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>Thanks<o:p><=
/o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'color:#888888'>Roni<o:p></o:p></span></p></div></div><p =
class=3DMsoNormal =
style=3D'margin-bottom:12.0pt'><br>______________________________________=
_________<br>clue mailing list<br><a =
href=3D"mailto:clue@ietf.org">clue@ietf.org</a><br><a =
href=3D"https://www.ietf.org/mailman/listinfo/clue" =
target=3D"_blank">https://www.ietf.org/mailman/listinfo/clue</a><o:p></o:=
p></p></div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div></div></body></html>
------=_NextPart_000_006A_01CD6A6B.37D7B1E0--


From apeppere@gmail.com  Wed Jul 25 07:10:25 2012
Return-Path: <apeppere@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id B439E21F84E6 for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 07:10:25 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.598
X-Spam-Level: 
X-Spam-Status: No, score=-3.598 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 79Dqp5rCI7Hk for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 07:10:24 -0700 (PDT)
Received: from mail-vc0-f172.google.com (mail-vc0-f172.google.com [209.85.220.172]) by ietfa.amsl.com (Postfix) with ESMTP id AC25A21F84DE for <clue@ietf.org>; Wed, 25 Jul 2012 07:10:23 -0700 (PDT)
Received: by vcbfo14 with SMTP id fo14so637783vcb.31 for <clue@ietf.org>; Wed, 25 Jul 2012 07:10:23 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=qBlVFuHeGIYLyy5pTq2eGFZ0yJm84B6S/7Zy2CvTYxY=; b=sw4J/X+mcZyLfnNXpt1/UJJkoDGYmsAQd7faGv4OvNrA/VaFIK6jJkt3WIya5TKuYP KwqSD9/dHy6tIhl62TAqwL/hOTXxF/Irf5AkHnnk1bco9oeTpBVOxnIQBc+T6FOYti3R YMOgYioN6VCU88/w8cTsKo1AMxv7GB+Ovfc53oH7/SRj0p1eKJlP5jcX4TN/g2Fv59es 6rzPwEkStMG6ntQHOVSRzaxhpKmPJUzBsTtIrRR0LYtaU6jmYPljX/+ZFGuGI2vLRZej Xgw69l3Q5fqsT8LdRKfhw02lEtMc3p0hmsJjC1pTiPUO+oDJViyZ1iPPuaQDPHCH7SRi 2R0A==
MIME-Version: 1.0
Received: by 10.52.75.194 with SMTP id e2mr16095621vdw.27.1343225423094; Wed, 25 Jul 2012 07:10:23 -0700 (PDT)
Received: by 10.220.36.1 with HTTP; Wed, 25 Jul 2012 07:10:23 -0700 (PDT)
In-Reply-To: <006901cd6a5a$744d3430$5ce79c90$@gmail.com>
References: <004c01cd6a45$9f6115c0$de234140$@gmail.com> <CAA86=sOQY1W-q=-rA=Fy1EU61Ak79BMSnzGGS4+b4zikvCYnXg@mail.gmail.com> <006901cd6a5a$744d3430$5ce79c90$@gmail.com>
Date: Wed, 25 Jul 2012 15:10:23 +0100
Message-ID: <CAA86=sOR-YOXv-2DM5H9Heyiav9kTO82xByGZUKGk+gtrSCbyQ@mail.gmail.com>
From: Andy Pepperell <apeppere@gmail.com>
To: Roni Even <ron.even.tlv@gmail.com>
Content-Type: multipart/alternative; boundary=20cf3071cd0432644604c5a80aaf
Cc: clue@ietf.org
Subject: Re: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 25 Jul 2012 14:10:25 -0000

--20cf3071cd0432644604c5a80aaf
Content-Type: text/plain; charset=windows-1252
Content-Transfer-Encoding: quoted-printable

Roni,

Comments from me inline too...

Andy


On Wed, Jul 25, 2012 at 12:41 PM, Roni Even <ron.even.tlv@gmail.com> wrote:

> Hi Andy,****
>
> Thanks, see inline****
>
> Roni****
>
> ** **
>
> *From:* Andy Pepperell [mailto:apeppere@gmail.com]
> *Sent:* 25 July, 2012 11:31 AM
> *To:* Roni Even
> *Cc:* clue@ietf.org
> *Subject:* Re: [clue] Question about encoding values****
>
> ** **
>
> Hi Roni,****
>
> ** **
>
> This is definitely an interesting case, with several different aspects to
> it:****
>
> ** **
>
> 1) I don't believe you'd want to set up the capture scene entries in quit=
e
> that way; specifically, it's not really "valid" to put VC4 in the same
> capture scene entry as VC1, VC2 and VC3, as VC4 is an alternative scene
> representation to the VC1+VC2+VC3 entry.****
>
> RE: As far as I read the framework there is nothing that says that a medi=
a
> capture can only appear in on capture set entry. The only limitation is
> that the MC must be mutually inclusive.
>

Yes, agreed


> ****
>
> For example: you can have the following capture scene****
>
> (VC1,VC2)****
>
> (VC1,VC3)****
>
> (VC2,VC3)****
>
> (VC2,VC4)****
>
> (VC4)
>

That's definitely possible, but it's also true that each capture scene
entry should be a representation of the whole scene, i.e. the semantics are
that whichever entry you choose you get a representation of the whole
scene. That wouldn't be true I think for this case - what your example
capture scene is saying is that VC1+VC2 gives not only a representation of
the whole scene, but also that VC1+VC does (and all the other entries).


> ****
>
> ** **
>
> 2) You say that VC4 doesn't need any additional resource as it's just one
> of VC1, VC2 or VC3. I'd add a caveat to this saying that CLUE doesn't
> specify this one way or the other - it may be that a switched VC4 such as
> you cite *is* a separate encoding, and we need to ensure the framework
> handles both cases well (for instance, if there are 6 seats in total, VC4
> might be an encoding of any 2 seats, not just the 1+2, 3+4, 5+6 implied b=
y
> the VC1, VC2 and VC3 capture scene entry).****
>
> ** **
>
> RE: This is true and I think this is what I said.
>

I was thinking of the part of your email that said:

>In the first capture scene entry VC4 does not require any additional codec
resource**

>In the second capture scene entry VC4 will need resources.


I'm not sure that there's any such distinction conveyed by the framework -
i.e. I don't think it's the case that whether VC4 requires extra resources
depends on whether it appears with VC1..3 or not, nor is it guaranteed that
this would be true even just looking at the provider itself (i.e. with no
consideration to how it advertises its captures to the far end via the CLUE
framework) as the provider side of some systems might work one way and
others a different way.




> The consumer also have no way to know based on the advertisement if this
> is a separate or same stream as one of the others in the capture scene
> entry.
>

I suppose my response to this would be that if that was a necessary
characteristic then the only way to guarantee it would be for the consumer
to perform the switch, i.e. decide to receive just VC1..3 and determine
which of those captures to show. If there was only a single decoder /
screen, then it could receive just VC4 and so get the switching that way.


> ****
>
> ** **
>
> 3) There are encode and decode side issues here - on the decode side you
> would need to set up 4 decoders if you want to receive all of VC1, VC2, V=
C3
> and VC4 as you couldn't guarantee that VC4 was just one of the others. If
> this was so, the consumer would then need to ensure that the summed encod=
e
> characteristics of all 4 capture encodings didn't exceed the consumer's
> decode limits.****
>
> ** **
>
> RE: True, and this is a comment I had to media-9 in
> draft-lennox-clue-rtp-usage-04
>

I think that the media-9 requirement in "draft-lennox-clue-rtp-usage-04"
applies here, yes, and would seem to work just fine, with the proviso that
while the consumer would be able to detect that capture encoding of VC4 was
a copy of one of the other video captures, it wouldn't necessarily be able
to rely on that (always) being so.


> ****
>
> ** **
>
> 4) Perhaps a more optimal scenario for a consumer that wants to receive
> VC1, VC2 and VC3 and have a single capture switched representation of the
> same scene, would be to receive (and decode) VC1, VC2 and VC3 (each using
> up to 1/3 of the consumer's decoding capability) and performing the segme=
nt
> switching itself. This would seem to be the only way to guarantee to
> achieve what you seem to be implying is always true, namely that VC4 is
> just a copy somehow of one of VC1, VC2 and VC3.****
>
> ** **
>
> RE: it is true but we are talking about the protocol and what is allowed.
> Also you are looking from the consumer side and not from the advertisemen=
t
> side
>

I guess that depends on what you're trying to do. Is it the case that
you're trying to find a way for the framework / protocol to explicitly
signal that the switched capture *is* tied to being one of the constituent
captures from a different capture scene entry?


> ****
>
> ** **
>
> My answer to what the consumer would ask for in this case would be that,
> if it's decoding capability was high enough, it would be perfectly valid =
to
> ask for each of VC1, VC2, VC3 and VC4 at up to either the encoding group'=
s
> maximum or 1/3 (specifically not 1/4) of that - in this scenario the
> provider would be able to dynamically split the encode capability either
> across 4 separate encodes or 3, depending on whether in fact VC4 was a
> simple copy of one of the other captures or a new capture.****
>
> RE: I think that the consumer cannot know according to the current
> switched attribute if VC4 is one of the other VCs or something else. Only
> the provider will know and this should be reflected in the encoding
> information advertisement.
>

It's true that only the provider will know - it's not 100% clear to me
though that there needs to be any mechanism / signaling over and above
what's already defined to be able to handle this case. Which cases are you
thinking of that would go wrong in the current set up? I am starting to
think that this may lead us into an SSRC discussion too (in some cases
VC4's SSRC will change according to which of VC1..3 it represents, in
others there'll be a single persistent VC4 SSRC).


> ****
>
> ** **
>
> >How do you specify it with the encoding groups?****
>
> ** **
>
> I think this isn't the most complex / subtle part of the question, but I
> think it would be up to the provider to ensure that the encoding group
> allowed up to 4 encodings (if it was happy to provide VC4 at the same tim=
e
> as VC1, VC2, and VC3) or only 3 (if it were not). In the former case, eac=
h
> encoding within the encoding group would need to allow up to at least 1/3
> of the group's total capability in order for the case of VC4 being a copy
> of one of the other 3 to work optimally. I would re-iterate though that I
> do not believe there's any implicit "requirement" or expectation in the
> example we're talking about here for VC4 to be just a copy of VC1, VC2 or
> VC3, and the framework currently allows it to be a completely separate
> capture (/ encoding) - the capture's switched attribute means that it
> "represents the (dynamic) most appropriate subset of a 'whole'" according
> to the current framework draft.****
>
> ** **
>
> RE: so what understand is that the advertisement in the encoding group
> should allow for VC4 to use an entry that will allow for VC4 sent alone a=
nd
> the consumer need to limit he configures VC4 as part of the capture scene
> entry with VC1-3****
>
> ** **
>
> So VC4 for example may be able to do up to 1080P30fps at 4Mbit/sec but
> when used with the other VCs the consumer may limit VC4 to SD and 1 Mbit/=
sec
>

I'm not sure if you're asking a question here, pointing out something that
doesn't work, or saying you're happy with the current state of things (I'm
guessing not the last option though :) ). I think that in the general (/
worst) case the consumer would have to apportion its decoding resources
conservatively to allow for VC4 being a completely separate stream (needing
a separate decode) to any of VC1..3.


> ****
>
> ** **
>
> Hope this helps!****
>
> ** **
>
> Andy****
>
> ** **
>
> ** **
>
> On Wed, Jul 25, 2012 at 10:12 AM, Roni Even <ron.even.tlv@gmail.com>
> wrote:****
>
> Hi,****
>
> I am still trying to understand how the encoding groups and Id work.****
>
>  ****
>
> Suppose the advertisement include four media captures.****
>
>  ****
>
> VC1 =96 left camera****
>
> VC2 =96 center camera****
>
> VC3 =96 right camera****
>
> VC4 =96 switched ****
>
>  ****
>
> The capture scene entries may be****
>
>  ****
>
> (vc1,vc2,vc3,vc4)****
>
> (vc4)****
>
>  ****
>
> VC4 appears in the both entries but it may have different encoding
> constrains in both cases.****
>
>  ****
>
> The encoding constrains have two values that reflect different resources.
> One is for network bandwidth and the second is for the codec performance.=
*
> ***
>
>  ****
>
> In the first capture scene entry VC4 does not require any additional code=
c
> resource since it will use one from VC1,2 or 3. As for the network
> bandwidth it may use if sent twice or may not need any resource if just
> mapped.****
>
> In the second capture scene entry VC4 will need resources.****
>
>  ****
>
> How do you specify it with the encoding groups.****
>
>  ****
>
> Thanks****
>
> Roni****
>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue****
>
> ** **
>

--20cf3071cd0432644604c5a80aaf
Content-Type: text/html; charset=windows-1252
Content-Transfer-Encoding: quoted-printable

Roni,<div><br></div><div>Comments from me inline too...</div><div><br></div=
><div>Andy</div><div><br><br><div class=3D"gmail_quote">On Wed, Jul 25, 201=
2 at 12:41 PM, Roni Even <span dir=3D"ltr">&lt;<a href=3D"mailto:ron.even.t=
lv@gmail.com" target=3D"_blank">ron.even.tlv@gmail.com</a>&gt;</span> wrote=
:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex"><div lang=3D"EN-US" link=3D"blue" vlink=3D"p=
urple"><div><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-fam=
ily:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">Hi Andy,<u></=
u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Thanks, see inline<u></u>=
<u></u></span></p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;fo=
nt-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">Roni<u>=
</u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p><p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&q=
uot;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"fon=
t-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;"> Andy =
Pepperell [mailto:<a href=3D"mailto:apeppere@gmail.com" target=3D"_blank">a=
peppere@gmail.com</a>] <br>
<b>Sent:</b> 25 July, 2012 11:31 AM<br><b>To:</b> Roni Even<br><b>Cc:</b> <=
a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br><b>S=
ubject:</b> Re: [clue] Question about encoding values<u></u><u></u></span><=
/p>
<div class=3D"im"><p class=3D"MsoNormal"><u></u>=A0<u></u></p><p class=3D"M=
soNormal">Hi Roni,<u></u><u></u></p><div><p class=3D"MsoNormal"><u></u>=A0<=
u></u></p></div><div><p class=3D"MsoNormal">This is definitely an interesti=
ng case, with several different aspects to it:<u></u><u></u></p>
</div><div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></div></div><div><di=
v class=3D"im"><p class=3D"MsoNormal">1) I don&#39;t believe you&#39;d want=
 to set up the capture scene entries in quite that way; specifically, it&#3=
9;s not really &quot;valid&quot; to put VC4 in the same capture scene entry=
 as VC1, VC2 and VC3, as VC4 is an alternative scene representation to the =
VC1+VC2+VC3 entry.<u></u><u></u></p>
</div><p class=3D"MsoNormal"><span style=3D"color:#1f497d">RE: As far as I =
read the framework there is nothing that says that a media capture can only=
 appear in on capture set entry. The only limitation is that the MC must be=
 mutually inclusive.</span></p>
</div></div></div></blockquote><div><br></div><div>Yes, agreed</div><div>=
=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;borde=
r-left:1px #ccc solid;padding-left:1ex"><div lang=3D"EN-US" link=3D"blue" v=
link=3D"purple">
<div><div><p class=3D"MsoNormal"><span style=3D"color:#1f497d"><u></u><u></=
u></span></p><p class=3D"MsoNormal"><span style=3D"color:#1f497d">For examp=
le: you can have the following capture scene<u></u><u></u></span></p><p cla=
ss=3D"MsoNormal">
<span style=3D"color:#1f497d">(VC1,VC2)<u></u><u></u></span></p><p class=3D=
"MsoNormal"><span style=3D"color:#1f497d">(VC1,VC3)<u></u><u></u></span></p=
><p class=3D"MsoNormal"><span style=3D"color:#1f497d">(VC2,VC3)<u></u><u></=
u></span></p>
<p class=3D"MsoNormal"><span style=3D"color:#1f497d">(VC2,VC4)<u></u><u></u=
></span></p><p class=3D"MsoNormal"><span style=3D"color:#1f497d">(VC4)</spa=
n></p></div></div></div></blockquote><div><br></div><div>That&#39;s definit=
ely possible, but it&#39;s also true that each capture scene entry should b=
e a representation of the whole scene, i.e. the semantics are that whicheve=
r entry you choose you get a representation of the whole scene. That wouldn=
&#39;t be true I think for this case - what your example capture scene is s=
aying is that VC1+VC2 gives not only a representation of the whole scene, b=
ut also that VC1+VC does (and all the other entries).</div>
<div>=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;=
border-left:1px #ccc solid;padding-left:1ex"><div lang=3D"EN-US" link=3D"bl=
ue" vlink=3D"purple"><div><div><p class=3D"MsoNormal"><span style=3D"color:=
#1f497d"><u></u><u></u></span></p>
</div><div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></div><div><div clas=
s=3D"im"><p class=3D"MsoNormal">2) You say that VC4 doesn&#39;t need any ad=
ditional resource as it&#39;s just one of VC1, VC2 or VC3. I&#39;d add a ca=
veat to this saying that CLUE doesn&#39;t specify this one way or the other=
 - it may be that a switched VC4 such as you cite *is* a separate encoding,=
 and we need to ensure the framework handles both cases well (for instance,=
 if there are 6 seats in total, VC4 might be an encoding of any 2 seats, no=
t just the 1+2, 3+4, 5+6 implied by the VC1, VC2 and VC3 capture scene entr=
y).<u></u><u></u></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p></div><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family=
:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">RE: This is true=
 and I think this is what I said.</span></p>
</div></div></div></blockquote><div><br></div><div>I was thinking of the pa=
rt of your email that said:=A0</div><div><br></div><div><p class=3D"MsoNorm=
al" style=3D"color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13p=
x;background-color:rgb(255,255,255)">
&gt;In the first capture scene entry VC4 does not require any additional co=
dec resource<u></u></p><p class=3D"MsoNormal" style=3D"color:rgb(34,34,34);=
font-family:arial,sans-serif;font-size:13px;background-color:rgb(255,255,25=
5)">
&gt;In the second capture scene entry VC4 will need resources.</p><p class=
=3D"MsoNormal" style=3D"color:rgb(34,34,34);font-family:arial,sans-serif;fo=
nt-size:13px;background-color:rgb(255,255,255)"><br></p><p class=3D"MsoNorm=
al" style=3D"color:rgb(34,34,34);font-family:arial,sans-serif;font-size:13p=
x;background-color:rgb(255,255,255)">
I&#39;m not sure that there&#39;s any such distinction conveyed by the fram=
ework - i.e. I don&#39;t think it&#39;s the case that whether VC4 requires =
extra resources depends on whether it appears with VC1..3 or not, nor is it=
 guaranteed that this would be true even just looking at the provider itsel=
f (i.e. with no consideration to how it advertises its captures to the far =
end via the CLUE framework) as the provider side of some systems might work=
 one way and others a different way.</p>
<p class=3D"MsoNormal" style=3D"color:rgb(34,34,34);font-family:arial,sans-=
serif;font-size:13px;background-color:rgb(255,255,255)"><br></p></div><div>=
=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;borde=
r-left:1px #ccc solid;padding-left:1ex">
<div lang=3D"EN-US" link=3D"blue" vlink=3D"purple"><div><div><p class=3D"Ms=
oNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&q=
uot;sans-serif&quot;;color:#1f497d"> The consumer also have no way to know =
based on the advertisement if this is a separate or same stream as one of t=
he others in the capture scene entry.</span></p>
</div></div></div></blockquote><div><br></div><div>I suppose my response to=
 this would be that if that was a necessary characteristic then the only wa=
y to guarantee it would be for the consumer to perform the switch, i.e. dec=
ide to receive just VC1..3 and determine which of those captures to show. I=
f there was only a single decoder / screen, then it could receive just VC4 =
and so get the switching that way.</div>
<div>=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;=
border-left:1px #ccc solid;padding-left:1ex"><div lang=3D"EN-US" link=3D"bl=
ue" vlink=3D"purple"><div><div><p class=3D"MsoNormal"><span style=3D"font-s=
ize:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f=
497d"><u></u><u></u></span></p>
</div><div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></div><div><div clas=
s=3D"im"><p class=3D"MsoNormal">3) There are encode and decode side issues =
here - on the decode side you would need to set up 4 decoders if you want t=
o receive all of VC1, VC2, VC3 and VC4 as you couldn&#39;t guarantee that V=
C4 was just one of the others. If this was so, the consumer would then need=
 to ensure that the summed encode characteristics of all 4 capture encoding=
s didn&#39;t exceed the consumer&#39;s decode limits.<u></u><u></u></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p></div><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family=
:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">RE: True, and th=
is is a comment I had to media-9 in draft-lennox-clue-rtp-usage-04</span></=
p>
</div></div></div></blockquote><div><br></div><div>I think that the media-9=
 requirement in &quot;draft-lennox-clue-rtp-usage-04&quot; applies here, ye=
s, and would seem to work just fine, with the proviso that while the consum=
er would be able to detect that capture encoding of VC4 was a copy of one o=
f the other video captures, it wouldn&#39;t necessarily be able to rely on =
that (always) being so.</div>
<div>=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;=
border-left:1px #ccc solid;padding-left:1ex"><div lang=3D"EN-US" link=3D"bl=
ue" vlink=3D"purple"><div><div><p class=3D"MsoNormal"><span style=3D"font-s=
ize:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f=
497d"><u></u><u></u></span></p>
</div><div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></div><div><div clas=
s=3D"im"><p class=3D"MsoNormal">4) Perhaps a more optimal scenario for a co=
nsumer that wants to receive VC1, VC2 and VC3 and have a single capture swi=
tched representation of the same scene, would be to receive (and decode) VC=
1, VC2 and VC3 (each using up to 1/3 of the consumer&#39;s decoding capabil=
ity) and performing the segment switching itself. This would seem to be the=
 only way to guarantee to achieve what you seem to be implying is always tr=
ue, namely that VC4 is just a copy somehow of one of VC1, VC2 and VC3.<u></=
u><u></u></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p></div><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family=
:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">RE: it is true b=
ut we are talking about the protocol and what is allowed. Also you are look=
ing from the consumer side and not from the advertisement side</span></p>
</div></div></div></blockquote><div><br></div><div>I guess that depends on =
what you&#39;re trying to do. Is it the case that you&#39;re trying to find=
 a way for the framework / protocol to explicitly signal that the switched =
capture *is* tied to being one of the constituent captures from a different=
 capture scene entry?</div>
<div>=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;=
border-left:1px #ccc solid;padding-left:1ex"><div lang=3D"EN-US" link=3D"bl=
ue" vlink=3D"purple"><div><div><p class=3D"MsoNormal"><span style=3D"font-s=
ize:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f=
497d"><u></u><u></u></span></p>
</div><div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></div><div><div clas=
s=3D"im"><p class=3D"MsoNormal">My answer to what the consumer would ask fo=
r in this case would be that, if it&#39;s decoding capability was high enou=
gh, it would be perfectly valid to ask for each of VC1, VC2, VC3 and VC4 at=
 up to either the encoding group&#39;s maximum or 1/3 (specifically not 1/4=
) of that - in this scenario the provider would be able to dynamically spli=
t the encode capability either across 4 separate encodes or 3, depending on=
 whether in fact VC4 was a simple copy of one of the other captures or a ne=
w capture.<u></u><u></u></p>
</div><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&q=
uot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">RE: I think that th=
e consumer cannot know according to the current switched attribute if VC4 i=
s one of the other VCs or something else. Only the provider will know and t=
his should be reflected in the encoding information advertisement.</span></=
p>
</div></div></div></blockquote><div><br></div><div>It&#39;s true that only =
the provider will know - it&#39;s not 100% clear to me though that there ne=
eds to be any mechanism / signaling over and above what&#39;s already defin=
ed to be able to handle this case. Which cases are you thinking of that wou=
ld go wrong in the current set up? I am starting to think that this may lea=
d us into an SSRC discussion too (in some cases VC4&#39;s SSRC will change =
according to which of VC1..3 it represents, in others there&#39;ll be a sin=
gle persistent VC4 SSRC).</div>
<div>=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;=
border-left:1px #ccc solid;padding-left:1ex"><div lang=3D"EN-US" link=3D"bl=
ue" vlink=3D"purple"><div><div><p class=3D"MsoNormal"><span style=3D"font-s=
ize:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f=
497d"><u></u><u></u></span></p>
</div><div class=3D"im"><div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></=
div><div><p class=3D"MsoNormal">&gt;How do you specify it with the encoding=
 groups?<u></u><u></u></p></div><div><p class=3D"MsoNormal"><u></u>=A0<u></=
u></p></div>
</div><div><div class=3D"im"><p class=3D"MsoNormal">I think this isn&#39;t =
the most complex / subtle part of the question, but I think it would be up =
to the provider to ensure that the encoding group allowed up to 4 encodings=
 (if it was happy to provide VC4 at the same time as VC1, VC2, and VC3) or =
only 3 (if it were not). In the former case, each encoding within the encod=
ing group would need to allow up to at least 1/3 of the group&#39;s total c=
apability in order for the case of VC4 being a copy of one of the other 3 t=
o work optimally. I would re-iterate though that I do not believe there&#39=
;s any implicit &quot;requirement&quot; or expectation in the example we&#3=
9;re talking about here for VC4 to be just a copy of VC1, VC2 or VC3, and t=
he framework currently allows it to be a completely separate capture (/ enc=
oding) - the capture&#39;s switched attribute means that it &quot;represent=
s the (dynamic) most appropriate subset of a=A0&#39;whole&#39;&quot; accord=
ing to the current framework draft.<u></u><u></u></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p></div><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family=
:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">RE: so what unde=
rstand is that the advertisement in the encoding group should allow for VC4=
 to use an entry that will allow for VC4 sent alone and the consumer need t=
o limit he configures VC4 as part of the capture scene entry with VC1-3<u><=
/u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">So VC4 for example may=
 be able to do up to 1080P30fps at 4Mbit/sec but when used with the other V=
Cs the consumer may limit VC4 to SD and 1 Mbit/sec</span></p>
</div></div></div></blockquote><div><br></div><div>I&#39;m not sure if you&=
#39;re asking a question here, pointing out something that doesn&#39;t work=
, or saying you&#39;re happy with the current state of things (I&#39;m gues=
sing not the last option though :) ). I think that in the general (/ worst)=
 case the consumer would have to apportion its decoding resources conservat=
ively to allow for VC4 being a completely separate stream (needing a separa=
te decode) to any of VC1..3.</div>
<div>=A0</div><blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;=
border-left:1px #ccc solid;padding-left:1ex"><div lang=3D"EN-US" link=3D"bl=
ue" vlink=3D"purple"><div><div><p class=3D"MsoNormal"><span style=3D"font-s=
ize:11.0pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f=
497d"><u></u><u></u></span></p>
</div><div class=3D"im"><div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></=
div><div><p class=3D"MsoNormal">Hope this helps!<u></u><u></u></p></div><di=
v><p class=3D"MsoNormal"><u></u>=A0<u></u></p></div><div><p class=3D"MsoNor=
mal">Andy<u></u><u></u></p>
</div><div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></div><div><p class=
=3D"MsoNormal" style=3D"margin-bottom:12.0pt"><u></u>=A0<u></u></p><div><p =
class=3D"MsoNormal">On Wed, Jul 25, 2012 at 10:12 AM, Roni Even &lt;<a href=
=3D"mailto:ron.even.tlv@gmail.com" target=3D"_blank">ron.even.tlv@gmail.com=
</a>&gt; wrote:<u></u><u></u></p>
<div><div><p class=3D"MsoNormal">Hi,<u></u><u></u></p><p class=3D"MsoNormal=
">I am still trying to understand how the encoding groups and Id work.<u></=
u><u></u></p><p class=3D"MsoNormal">=A0<u></u><u></u></p><p class=3D"MsoNor=
mal">Suppose the advertisement include four media captures.<u></u><u></u></=
p>
<p class=3D"MsoNormal">=A0<u></u><u></u></p><p class=3D"MsoNormal">VC1 =96 =
left camera<u></u><u></u></p><p class=3D"MsoNormal">VC2 =96 center camera<u=
></u><u></u></p><p class=3D"MsoNormal">VC3 =96 right camera<u></u><u></u></=
p><p class=3D"MsoNormal">
VC4 =96 switched <u></u><u></u></p><p class=3D"MsoNormal">=A0<u></u><u></u>=
</p><p class=3D"MsoNormal">The capture scene entries may be<u></u><u></u></=
p><p class=3D"MsoNormal">=A0<u></u><u></u></p><p class=3D"MsoNormal">(vc1,v=
c2,vc3,vc4)<u></u><u></u></p>
<p class=3D"MsoNormal">(vc4)<u></u><u></u></p><p class=3D"MsoNormal">=A0<u>=
</u><u></u></p><p class=3D"MsoNormal">VC4 appears in the both entries but i=
t may have different encoding constrains in both cases.<u></u><u></u></p><p=
 class=3D"MsoNormal">
=A0<u></u><u></u></p><p class=3D"MsoNormal">The encoding constrains have tw=
o values that reflect different resources. One is for network bandwidth and=
 the second is for the codec performance.<u></u><u></u></p><p class=3D"MsoN=
ormal">
=A0<u></u><u></u></p><p class=3D"MsoNormal">In the first capture scene entr=
y VC4 does not require any additional codec resource since it will use one =
from VC1,2 or 3. As for the network bandwidth it may use if sent twice or m=
ay not need any resource if just mapped.<u></u><u></u></p>
<p class=3D"MsoNormal">In the second capture scene entry VC4 will need reso=
urces.<u></u><u></u></p><p class=3D"MsoNormal">=A0<u></u><u></u></p><p clas=
s=3D"MsoNormal">How do you specify it with the encoding groups.<u></u><u></=
u></p>
<p class=3D"MsoNormal">=A0<u></u><u></u></p><p class=3D"MsoNormal">Thanks<u=
></u><u></u></p><p class=3D"MsoNormal"><span style=3D"color:#888888">Roni<u=
></u><u></u></span></p></div></div><p class=3D"MsoNormal" style=3D"margin-b=
ottom:12.0pt">
<br>_______________________________________________<br>clue mailing list<br=
><a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br><a=
 href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">http=
s://www.ietf.org/mailman/listinfo/clue</a><u></u><u></u></p>
</div><p class=3D"MsoNormal"><u></u>=A0<u></u></p></div></div></div></div><=
/blockquote></div><br></div>

--20cf3071cd0432644604c5a80aaf--

From pkyzivat@alum.mit.edu  Wed Jul 25 07:25:38 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 07ED821F851C for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 07:25:38 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.352
X-Spam-Level: 
X-Spam-Status: No, score=-2.352 tagged_above=-999 required=5 tests=[AWL=0.247,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id Hf24-+z2Yxs8 for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 07:25:37 -0700 (PDT)
Received: from qmta07.westchester.pa.mail.comcast.net (qmta07.westchester.pa.mail.comcast.net [76.96.62.64]) by ietfa.amsl.com (Postfix) with ESMTP id 7031421F84FF for <clue@ietf.org>; Wed, 25 Jul 2012 07:25:37 -0700 (PDT)
Received: from omta12.westchester.pa.mail.comcast.net ([76.96.62.44]) by qmta07.westchester.pa.mail.comcast.net with comcast id edCH1j0030xGWP857eRgqf; Wed, 25 Jul 2012 14:25:40 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta12.westchester.pa.mail.comcast.net with comcast id eeRK1j00V3ZTu2S3YeRK73; Wed, 25 Jul 2012 14:25:19 +0000
Message-ID: <501001E0.30706@alum.mit.edu>
Date: Wed, 25 Jul 2012 10:25:36 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <004c01cd6a45$9f6115c0$de234140$@gmail.com>
In-Reply-To: <004c01cd6a45$9f6115c0$de234140$@gmail.com>
Content-Type: text/plain; charset=windows-1252; format=flowed
Content-Transfer-Encoding: 8bit
Subject: Re: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 25 Jul 2012 14:25:38 -0000

On 7/25/12 5:12 AM, Roni Even wrote:
> Hi,
>
> I am still trying to understand how the encoding groups and Id work.
>
> Suppose the advertisement include four media captures.
>
> VC1 – left camera
>
> VC2 – center camera
>
> VC3 – right camera
>
> VC4 – switched
>
> The capture scene entries may be
>
> (vc1,vc2,vc3,vc4)
>
> (vc4)
>
> VC4 appears in the both entries but it may have different encoding
> constrains in both cases.
>
> The encoding constrains have two values that reflect different
> resources. One is for network bandwidth and the second is for the codec
> performance.
>
> In the first capture scene entry VC4 does not require any additional
> codec resource since it will use one from VC1,2 or 3.

I wonder about this. If capture ids are being sent in the media stream, 
then won't a separate codec resource be required for VC4 to do that? Or 
are you assuming that insertion of the capture id is a separate function 
from the codec?

	Thanks,
	Paul

From apeppere@gmail.com  Wed Jul 25 07:44:36 2012
Return-Path: <apeppere@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 9FF9321F8616 for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 07:44:36 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.765
X-Spam-Level: 
X-Spam-Status: No, score=-2.765 tagged_above=-999 required=5 tests=[AWL=-0.833, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, SARE_HTML_USL_OBFU=1.666]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 9ZtRQb5fi82h for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 07:44:35 -0700 (PDT)
Received: from mail-vb0-f44.google.com (mail-vb0-f44.google.com [209.85.212.44]) by ietfa.amsl.com (Postfix) with ESMTP id 8EF1621F8610 for <clue@ietf.org>; Wed, 25 Jul 2012 07:44:35 -0700 (PDT)
Received: by vbbez10 with SMTP id ez10so680174vbb.31 for <clue@ietf.org>; Wed, 25 Jul 2012 07:44:35 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=VjEx++zvALG+QDw1N0uXu+biRlJLuOClbleSWkzKH9U=; b=kTdGCU8FpDY5KIuJUwHmNbQFXxtJOmh2d2rKqwWelvmL6nrHkwt/fkxe92boxu4DDy 1EKI/fNgWlyJfgMRT+I+J/0KNpspYQzCYM7NXyt4ssoUAMlu4UZlfTyPKD2aAgmhFm/W +nuqlWj2n5fk6BYW1l2Qy3CKzV5wygzihNxETeJK/u5GuKjt7zFqSgV0aGzkS2KQ4Z3e rRcHo6EYAGfPdCEC995Q2TLCzePKjRgKV8W/rvHDZ1hlT/9YTrNI/fG+zPXHJNPqTuVv xOUM6vaHvWDq3p0tO6UcfuFVEqrsy8NVXdRHj+4U6FjYIf9ocBl8rovV9OiWkbt+CFTo OoUw==
MIME-Version: 1.0
Received: by 10.52.75.194 with SMTP id e2mr16163680vdw.27.1343227474993; Wed, 25 Jul 2012 07:44:34 -0700 (PDT)
Received: by 10.220.36.1 with HTTP; Wed, 25 Jul 2012 07:44:34 -0700 (PDT)
In-Reply-To: <501001E0.30706@alum.mit.edu>
References: <004c01cd6a45$9f6115c0$de234140$@gmail.com> <501001E0.30706@alum.mit.edu>
Date: Wed, 25 Jul 2012 15:44:34 +0100
Message-ID: <CAA86=sOz5j4gXigRuZ6OiAWGC6H+UGcsstFxdNDyJTtZ2BVMgg@mail.gmail.com>
From: Andy Pepperell <apeppere@gmail.com>
To: Paul Kyzivat <pkyzivat@alum.mit.edu>
Content-Type: multipart/alternative; boundary=20cf3071cd047fe08304c5a8848a
Cc: clue@ietf.org
Subject: Re: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 25 Jul 2012 14:44:36 -0000

--20cf3071cd047fe08304c5a8848a
Content-Type: text/plain; charset=windows-1252
Content-Transfer-Encoding: quoted-printable

Hi Paul,

>I wonder about this. If capture ids are being sent in the media stream,
then won't a separate codec resource be required for VC4 to do that? Or are
you assuming that insertion of the capture id is a separate function from
the codec?

I think it's true that there will be a separate distinct ID for VC4 as
compared to any of the others (this is obviously essential for cases where
VC4 is not just a simple copy of VC1, VC2 or VC3). The media-9 requirement
that Roni cites in "draft-lennox-clue-rtp-usage-04" covers this case to
some degree, and the intent (from that draft) in this scenario is for the
provider to use more than one header-extension value within the same RTP
stream (most notably, the same SSRC) to indicate this equivalence to the
consumer (the consumer may or may not be set up to be optimised for this
case).

A forthcoming amendment to that RTP usage draft proposes that instead of
the capture ID being used within the RTP encoding, it's a consumer-chosen
ID (for the purposes of this discussion I don't believe it's significant,
but this is necessary for simulcast cases, and at the last interim meeting
there was broad agreement over the usefulness of the ID being chosen by the
consumer-side rather than the provider).

Andy



On Wed, Jul 25, 2012 at 3:25 PM, Paul Kyzivat <pkyzivat@alum.mit.edu> wrote=
:

> On 7/25/12 5:12 AM, Roni Even wrote:
>
>> Hi,
>>
>> I am still trying to understand how the encoding groups and Id work.
>>
>> Suppose the advertisement include four media captures.
>>
>> VC1 =96 left camera
>>
>> VC2 =96 center camera
>>
>> VC3 =96 right camera
>>
>> VC4 =96 switched
>>
>> The capture scene entries may be
>>
>> (vc1,vc2,vc3,vc4)
>>
>> (vc4)
>>
>> VC4 appears in the both entries but it may have different encoding
>> constrains in both cases.
>>
>> The encoding constrains have two values that reflect different
>> resources. One is for network bandwidth and the second is for the codec
>> performance.
>>
>> In the first capture scene entry VC4 does not require any additional
>> codec resource since it will use one from VC1,2 or 3.
>>
>
> I wonder about this. If capture ids are being sent in the media stream,
> then won't a separate codec resource be required for VC4 to do that? Or a=
re
> you assuming that insertion of the capture id is a separate function from
> the codec?
>
>         Thanks,
>         Paul
>
> ______________________________**_________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/**listinfo/clue<https://www.ietf.org/mailman=
/listinfo/clue>
>

--20cf3071cd047fe08304c5a8848a
Content-Type: text/html; charset=windows-1252
Content-Transfer-Encoding: quoted-printable

<div>Hi Paul,</div><div><br></div>&gt;I wonder about this. If capture ids a=
re being sent in the media stream, then won&#39;t a separate codec resource=
 be required for VC4 to do that? Or are you assuming that insertion of the =
capture id is a separate function from the codec?<div>
<br></div><div>I think it&#39;s true that there will be a separate distinct=
 ID for VC4 as compared to any of the others (this is obviously essential f=
or cases where VC4 is not just a simple copy of VC1, VC2 or VC3). The media=
-9 requirement that Roni cites in &quot;draft-lennox-clue-rtp-usage-04&quot=
; covers this case to some degree, and the intent (from that draft) in this=
 scenario is for the provider to use more than one header-extension value w=
ithin the same RTP stream (most notably, the same SSRC) to indicate this eq=
uivalence to the consumer (the consumer may or may not be set up to be opti=
mised for this case).</div>
<div><br></div><div>A forthcoming amendment to that RTP usage draft propose=
s that instead of the capture ID being used within the RTP encoding, it&#39=
;s a consumer-chosen ID (for the purposes of this discussion I don&#39;t be=
lieve it&#39;s significant, but this is necessary for simulcast cases, and =
at the last interim meeting there was broad agreement over the usefulness o=
f the ID being chosen by the consumer-side rather than the provider).</div>
<div><br></div><div>Andy</div><div><br></div><div><br><br><div class=3D"gma=
il_quote">On Wed, Jul 25, 2012 at 3:25 PM, Paul Kyzivat <span dir=3D"ltr">&=
lt;<a href=3D"mailto:pkyzivat@alum.mit.edu" target=3D"_blank">pkyzivat@alum=
.mit.edu</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex"><div class=3D"im">On 7/25/12 5:12 AM, Roni E=
ven wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">
Hi,<br>
<br>
I am still trying to understand how the encoding groups and Id work.<br>
<br>
Suppose the advertisement include four media captures.<br>
<br>
VC1 =96 left camera<br>
<br>
VC2 =96 center camera<br>
<br>
VC3 =96 right camera<br>
<br>
VC4 =96 switched<br>
<br>
The capture scene entries may be<br>
<br>
(vc1,vc2,vc3,vc4)<br>
<br>
(vc4)<br>
<br>
VC4 appears in the both entries but it may have different encoding<br>
constrains in both cases.<br>
<br>
The encoding constrains have two values that reflect different<br>
resources. One is for network bandwidth and the second is for the codec<br>
performance.<br>
<br>
In the first capture scene entry VC4 does not require any additional<br>
codec resource since it will use one from VC1,2 or 3.<br>
</blockquote>
<br></div>
I wonder about this. If capture ids are being sent in the media stream, the=
n won&#39;t a separate codec resource be required for VC4 to do that? Or ar=
e you assuming that insertion of the capture id is a separate function from=
 the codec?<br>

<br>
=A0 =A0 =A0 =A0 Thanks,<br>
=A0 =A0 =A0 =A0 Paul<div class=3D"HOEnZb"><div class=3D"h5"><br>
______________________________<u></u>_________________<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/<u></u>listinfo/clue</a><br>
</div></div></blockquote></div><br></div>

--20cf3071cd047fe08304c5a8848a--

From pkyzivat@alum.mit.edu  Wed Jul 25 07:55:32 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 77D7C21F85E7 for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 07:55:32 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.339
X-Spam-Level: 
X-Spam-Status: No, score=-2.339 tagged_above=-999 required=5 tests=[AWL=0.260,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 7T4Rp-GjgHDv for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 07:55:31 -0700 (PDT)
Received: from qmta08.westchester.pa.mail.comcast.net (qmta08.westchester.pa.mail.comcast.net [76.96.62.80]) by ietfa.amsl.com (Postfix) with ESMTP id A99F621F85DA for <clue@ietf.org>; Wed, 25 Jul 2012 07:55:31 -0700 (PDT)
Received: from omta07.westchester.pa.mail.comcast.net ([76.96.62.59]) by qmta08.westchester.pa.mail.comcast.net with comcast id ediX1j0061GhbT858evaJN; Wed, 25 Jul 2012 14:55:34 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta07.westchester.pa.mail.comcast.net with comcast id eevh1j00N3ZTu2S3TevhR5; Wed, 25 Jul 2012 14:55:42 +0000
Message-ID: <501008E1.5060006@alum.mit.edu>
Date: Wed, 25 Jul 2012 10:55:29 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: Andy Pepperell <apeppere@gmail.com>
References: <004c01cd6a45$9f6115c0$de234140$@gmail.com> <501001E0.30706@alum.mit.edu> <CAA86=sOz5j4gXigRuZ6OiAWGC6H+UGcsstFxdNDyJTtZ2BVMgg@mail.gmail.com>
In-Reply-To: <CAA86=sOz5j4gXigRuZ6OiAWGC6H+UGcsstFxdNDyJTtZ2BVMgg@mail.gmail.com>
Content-Type: text/plain; charset=windows-1252; format=flowed
Content-Transfer-Encoding: 8bit
Cc: clue@ietf.org
Subject: Re: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 25 Jul 2012 14:55:32 -0000

On 7/25/12 10:44 AM, Andy Pepperell wrote:
> Hi Paul,
>
>  >I wonder about this. If capture ids are being sent in the media
> stream, then won't a separate codec resource be required for VC4 to do
> that? Or are you assuming that insertion of the capture id is a separate
> function from the codec?
>
> I think it's true that there will be a separate distinct ID for VC4 as
> compared to any of the others (this is obviously essential for cases
> where VC4 is not just a simple copy of VC1, VC2 or VC3). The media-9
> requirement that Roni cites in "draft-lennox-clue-rtp-usage-04" covers
> this case to some degree, and the intent (from that draft) in this
> scenario is for the provider to use more than one header-extension value
> within the same RTP stream (most notably, the same SSRC) to indicate
> this equivalence to the consumer (the consumer may or may not be set up
> to be optimised for this case).
>
> A forthcoming amendment to that RTP usage draft proposes that instead of
> the capture ID being used within the RTP encoding, it's a
> consumer-chosen ID (for the purposes of this discussion I don't believe
> it's significant, but this is necessary for simulcast cases, and at the
> last interim meeting there was broad agreement over the usefulness of
> the ID being chosen by the consumer-side rather than the provider).

I understand all that. But you didn't answer my question:

Does this mean that a switched capture always requires a separate 
encoding resource?

I guess you were arguing that the consumer must assume it does.

	Thanks,
	Paul

> Andy
>
>
>
> On Wed, Jul 25, 2012 at 3:25 PM, Paul Kyzivat <pkyzivat@alum.mit.edu
> <mailto:pkyzivat@alum.mit.edu>> wrote:
>
>     On 7/25/12 5:12 AM, Roni Even wrote:
>
>         Hi,
>
>         I am still trying to understand how the encoding groups and Id work.
>
>         Suppose the advertisement include four media captures.
>
>         VC1 – left camera
>
>         VC2 – center camera
>
>         VC3 – right camera
>
>         VC4 – switched
>
>         The capture scene entries may be
>
>         (vc1,vc2,vc3,vc4)
>
>         (vc4)
>
>         VC4 appears in the both entries but it may have different encoding
>         constrains in both cases.
>
>         The encoding constrains have two values that reflect different
>         resources. One is for network bandwidth and the second is for
>         the codec
>         performance.
>
>         In the first capture scene entry VC4 does not require any additional
>         codec resource since it will use one from VC1,2 or 3.
>
>
>     I wonder about this. If capture ids are being sent in the media
>     stream, then won't a separate codec resource be required for VC4 to
>     do that? Or are you assuming that insertion of the capture id is a
>     separate function from the codec?
>
>              Thanks,
>              Paul
>
>     _________________________________________________
>     clue mailing list
>     clue@ietf.org <mailto:clue@ietf.org>
>     https://www.ietf.org/mailman/__listinfo/clue
>     <https://www.ietf.org/mailman/listinfo/clue>
>
>


From espeberg@cisco.com  Wed Jul 25 08:18:36 2012
Return-Path: <espeberg@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 582ED21F8624 for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 08:18:36 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[AWL=0.000, BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id EwypRvVg6+LH for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 08:18:35 -0700 (PDT)
Received: from rcdn-iport-7.cisco.com (rcdn-iport-7.cisco.com [173.37.86.78]) by ietfa.amsl.com (Postfix) with ESMTP id 4973C21F84DA for <clue@ietf.org>; Wed, 25 Jul 2012 08:18:35 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=espeberg@cisco.com; l=3045; q=dns/txt; s=iport; t=1343229515; x=1344439115; h=from:to:subject:date:message-id:references:in-reply-to: content-transfer-encoding:mime-version; bh=t/yegvuqgmO7yMrqnkSytGzuu5O2NPl0OrE/aqAOU14=; b=nJGhUfqJUW4ljhqItkFRhJ5jbtmnahL/9jp2hczERPut3L8xfgTcf8+U u6+fA8wbxBWFxnRfiJBxCo7ch7K4dVgm9oO8JujCRZQURdWmyGZKDpepf uZbsP7gRBifSfytL+ICSY1JFwA6ko03lBHcEL6rovoPaMG/sMSBDvvM6W M=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av8EAKMNEFCtJV2b/2dsb2JhbABFuWOBB4IgAQEBBAEBAQ8BJzQJDgQCAQgRBAEBCxQJBycLFAgBCAIEARIIARmHawubB6BRi02GFGADll2NE4Fmgl8
X-IronPort-AV: E=Sophos;i="4.77,653,1336348800"; d="scan'208";a="105209175"
Received: from rcdn-core-4.cisco.com ([173.37.93.155]) by rcdn-iport-7.cisco.com with ESMTP; 25 Jul 2012 15:18:34 +0000
Received: from xhc-rcd-x09.cisco.com (xhc-rcd-x09.cisco.com [173.37.183.83]) by rcdn-core-4.cisco.com (8.14.5/8.14.5) with ESMTP id q6PFIYns019452 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Wed, 25 Jul 2012 15:18:34 GMT
Received: from xmb-rcd-x11.cisco.com ([169.254.1.95]) by xhc-rcd-x09.cisco.com ([173.37.183.83]) with mapi id 14.02.0298.004; Wed, 25 Jul 2012 10:18:31 -0500
From: "Espen Berger (espeberg)" <espeberg@cisco.com>
To: Xiaojing <lennard.xiao@huawei.com>, "clue@ietf.org" <clue@ietf.org>
Thread-Topic: [clue] FW: New Version Notification	for draft-xiao-clue-telemedical-use-case-00.txt
Thread-Index: AQHNXYDPHUZRNGw5ZUOatMn9pfTlZJc5UsswgADfIeA=
Date: Wed, 25 Jul 2012 15:18:31 +0000
Message-ID: <E8F5F2C7B2623641BD9ABF0B622D726D023AEA@xmb-rcd-x11.cisco.com>
References: <8A527E21B95EF842BC0E952D6E82297747DA1D4A@szxeml527-mbx.china.huawei.com>
In-Reply-To: <8A527E21B95EF842BC0E952D6E82297747DA1D4A@szxeml527-mbx.china.huawei.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.147.112.72]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19062.004
x-tm-as-result: No--30.356900-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] FW: New Version Notification	for	draft-xiao-clue-telemedical-use-case-00.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 25 Jul 2012 15:18:36 -0000

Thanks for sharing the use case. I had a similar use case in mind, advanced=
 lecture type calls mainly focusing on P2P with multiple presentation strea=
ms. =20

My assumption for an advanced use case like this is each capture has at lea=
st a description field, e.g. 'x-ray' or  'CT-scan', that can be used by a m=
anual operator to start and stop what to receive. This use case explains wh=
y we need descriptions for both capture-scenes and captures.=20

Questions
* Do you assume manual or automatic selection of presentation streams?=20
* How do you decide which presentation streams are important? What if you o=
ffer three presentation streams and I can only receive one, how do I decide=
 which of them to receive?=20
* Have you identified additional meta-information to the CLUE framework nee=
ded to describe the information you have in mind writing up the use case.=20

Regards=20

-Espen=20


-----Original Message-----
From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Xia=
ojing
Sent: 25. juli 2012 04:40
To: clue@ietf.org
Subject: [clue] FW: New Version Notification for draft-xiao-clue-telemedica=
l-use-case-00.txt

Hi all,

I've submitted a telemedical use case, which addresses the use of Teleprese=
nce into medical scenarios.

I think this use case is valid to add another application field where Telep=
resence can be used.
So I'd like to suggest adding this use case into the current use case docum=
ent.

Also, along with this use case, some new requirements might come up, e.g. t=
he requirement to support multiple presentation streams, which might be con=
sidered into the requirement draft.

Best regards,
Lennard

-----Original Message-----
From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]=20
Sent: Monday, July 09, 2012 11:13 AM
To: Xiaojing
Cc: Roni even
Subject: New Version Notification for draft-xiao-clue-telemedical-use-case-=
00.txt


A new version of I-D, draft-xiao-clue-telemedical-use-case-00.txt
has been successfully submitted by Lennard Xiao and posted to the
IETF repository.

Filename:	 draft-xiao-clue-telemedical-use-case
Revision:	 00
Title:		 Use Case for Telemedical with Multi-streams
Creation date:	 2012-07-06
WG ID:		 Individual Submission
Number of pages: 5
URL:             http://www.ietf.org/internet-drafts/draft-xiao-clue-teleme=
dical-use-case-00.txt
Status:          http://datatracker.ietf.org/doc/draft-xiao-clue-telemedica=
l-use-case
Htmlized:        http://tools.ietf.org/html/draft-xiao-clue-telemedical-use=
-case-00


Abstract:
   This memo presenst a telemedicine use case where multiple
   presentation streams are used for conveying different information in
   parallel to the main video from the surgery room

                                                                           =
      =20


The IETF Secretariat
_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

From apeppere@gmail.com  Wed Jul 25 10:50:11 2012
Return-Path: <apeppere@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 9AC4521F8681 for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 10:50:11 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.203
X-Spam-Level: 
X-Spam-Status: No, score=-2.203 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, MIME_QP_LONG_LINE=1.396, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id tqSi8+Bl0s6d for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 10:50:11 -0700 (PDT)
Received: from mail-wg0-f42.google.com (mail-wg0-f42.google.com [74.125.82.42]) by ietfa.amsl.com (Postfix) with ESMTP id 76C0021F8629 for <clue@ietf.org>; Wed, 25 Jul 2012 10:50:10 -0700 (PDT)
Received: by wgbfm10 with SMTP id fm10so4728471wgb.1 for <clue@ietf.org>; Wed, 25 Jul 2012 10:50:09 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=references:in-reply-to:mime-version:content-transfer-encoding :content-type:message-id:cc:x-mailer:from:subject:date:to; bh=vIHt/mk3wkFdOLRZlE7+x/rlzssWIksBccugpOiMaV8=; b=OxzXLNfk4I+46opN6wWmrK9jGa4AK61g/bqc/vmVJ20T4j3wpFZSTfsiGAw/X/JXyp Zj/MWV08FyYd4sxBUVnu/MNrf0BMxOubo+1wQn1RVMzk1heZkahll5YN/ZHWUYCeDHql 1NMi4qmhWfrVe4B1dDBNc9Q1b6EeZRFSdNXW9aPOMk7wI5aFJeukhAB/y3oDvFSnZo8S 0rtILh+n5IHFoXM+QV5FF4kcm78o2kR6gFExv8F5VBzaDA7lXszZ2cTGvFJwVUqYWw4r e+ZwAGtQxi0fMLwQSogqakB4/qNSVfq1/1DSqUk4VngPkc26Z4uMfDcaalv0bMVJYmZx EonQ==
Received: by 10.180.84.104 with SMTP id x8mr6515938wiy.20.1343238609447; Wed, 25 Jul 2012 10:50:09 -0700 (PDT)
Received: from [10.18.248.225] ([212.183.128.144]) by mx.google.com with ESMTPS id fu8sm3645158wib.5.2012.07.25.10.50.05 (version=TLSv1/SSLv3 cipher=OTHER); Wed, 25 Jul 2012 10:50:07 -0700 (PDT)
References: <004c01cd6a45$9f6115c0$de234140$@gmail.com> <501001E0.30706@alum.mit.edu> <CAA86=sOz5j4gXigRuZ6OiAWGC6H+UGcsstFxdNDyJTtZ2BVMgg@mail.gmail.com> <501008E1.5060006@alum.mit.edu>
In-Reply-To: <501008E1.5060006@alum.mit.edu>
Mime-Version: 1.0 (1.0)
Content-Transfer-Encoding: quoted-printable
Content-Type: text/plain; charset=utf-8
Message-Id: <796BD0FD-2F14-4A43-B6E8-66D3B8B67A01@gmail.com>
X-Mailer: iPhone Mail (9B206)
From: Andrew Pepperell <apeppere@gmail.com>
Date: Wed, 25 Jul 2012 18:50:00 +0100
To: Paul Kyzivat <pkyzivat@alum.mit.edu>
Cc: "clue@ietf.org" <clue@ietf.org>
Subject: Re: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 25 Jul 2012 17:50:11 -0000

Hi Paul,

Apologies if it seemed like I was evading your question (!). Partly I was ke=
en not to give the impression what I was saying was any more than just my op=
inion on this issue...

In the general case I believe VC4 in this example has to [permitted to be] a=
 separately encoded stream needing a separate decode. This would be essentia=
l for cases where the switched sub-scene view *wasn't* just one of VC1..3, a=
nd also for cases where the consumer requires different encoding characteris=
tics, e.g. a lower resolution or bit rate.

The RTP usage draft from Jonathan and others describes how the same actual e=
ncoding can be sent by a provider to satisfy multiple consumer choices. I ma=
intain, though clearly it's a matter of opinion, that the best way for a con=
sumer to guarantee that "VC4" be a shared encode of one of VC1..VC3 is for i=
t to receive only those captures and perform the segment switching itself (w=
e've talked in various meetings about linking VAD / energy detection to prov=
ider-side co-ordinates and this would seem to be applicable here, as it also=
 addresses cases where the provider would not be able to supply a separate, a=
dditional, VC4 equivalent).

You probably think this still doesn't answer your question - I think for som=
e cases it's yes and for some it's no, depending on how the provider is prov=
iding the switched capture and on how the consumer plans to use it. It's def=
initely the case that ghere's no explicit signalling for a provider to say "=
capture N" is always one of this set of other captures - by way of further g=
eneralization, it might also be instructive to consider a potential addition=
al capture scene entry consisting of VC5..VC8, a 4 capture representation of=
 the scene. If this too were present, it would not be possible to determine w=
ithout extra explicit indication from the provider whether the switched VC4 w=
as one of the 1..3 set or the 5..8 set.

Regards,

Andy


On 25 Jul 2012, at 15:55, Paul Kyzivat <pkyzivat@alum.mit.edu> wrote:

> On 7/25/12 10:44 AM, Andy Pepperell wrote:
>> Hi Paul,
>>=20
>> >I wonder about this. If capture ids are being sent in the media
>> stream, then won't a separate codec resource be required for VC4 to do
>> that? Or are you assuming that insertion of the capture id is a separate
>> function from the codec?
>>=20
>> I think it's true that there will be a separate distinct ID for VC4 as
>> compared to any of the others (this is obviously essential for cases
>> where VC4 is not just a simple copy of VC1, VC2 or VC3). The media-9
>> requirement that Roni cites in "draft-lennox-clue-rtp-usage-04" covers
>> this case to some degree, and the intent (from that draft) in this
>> scenario is for the provider to use more than one header-extension value
>> within the same RTP stream (most notably, the same SSRC) to indicate
>> this equivalence to the consumer (the consumer may or may not be set up
>> to be optimised for this case).
>>=20
>> A forthcoming amendment to that RTP usage draft proposes that instead of
>> the capture ID being used within the RTP encoding, it's a
>> consumer-chosen ID (for the purposes of this discussion I don't believe
>> it's significant, but this is necessary for simulcast cases, and at the
>> last interim meeting there was broad agreement over the usefulness of
>> the ID being chosen by the consumer-side rather than the provider).
>=20
> I understand all that. But you didn't answer my question:
>=20
> Does this mean that a switched capture always requires a separate encoding=
 resource?
>=20
> I guess you were arguing that the consumer must assume it does.
>=20
>    Thanks,
>    Paul
>=20
>> Andy
>>=20
>>=20
>>=20
>> On Wed, Jul 25, 2012 at 3:25 PM, Paul Kyzivat <pkyzivat@alum.mit.edu
>> <mailto:pkyzivat@alum.mit.edu>> wrote:
>>=20
>>    On 7/25/12 5:12 AM, Roni Even wrote:
>>=20
>>        Hi,
>>=20
>>        I am still trying to understand how the encoding groups and Id wor=
k.
>>=20
>>        Suppose the advertisement include four media captures.
>>=20
>>        VC1 =E2=80=93 left camera
>>=20
>>        VC2 =E2=80=93 center camera
>>=20
>>        VC3 =E2=80=93 right camera
>>=20
>>        VC4 =E2=80=93 switched
>>=20
>>        The capture scene entries may be
>>=20
>>        (vc1,vc2,vc3,vc4)
>>=20
>>        (vc4)
>>=20
>>        VC4 appears in the both entries but it may have different encoding=

>>        constrains in both cases.
>>=20
>>        The encoding constrains have two values that reflect different
>>        resources. One is for network bandwidth and the second is for
>>        the codec
>>        performance.
>>=20
>>        In the first capture scene entry VC4 does not require any addition=
al
>>        codec resource since it will use one from VC1,2 or 3.
>>=20
>>=20
>>    I wonder about this. If capture ids are being sent in the media
>>    stream, then won't a separate codec resource be required for VC4 to
>>    do that? Or are you assuming that insertion of the capture id is a
>>    separate function from the codec?
>>=20
>>             Thanks,
>>             Paul
>>=20
>>    _________________________________________________
>>    clue mailing list
>>    clue@ietf.org <mailto:clue@ietf.org>
>>    https://www.ietf.org/mailman/__listinfo/clue
>>    <https://www.ietf.org/mailman/listinfo/clue>
>>=20
>>=20
>=20

From mary.ietf.barnes@gmail.com  Wed Jul 25 14:04:06 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 0F4C621F870A for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 14:04:06 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -102.718
X-Spam-Level: 
X-Spam-Status: No, score=-102.718 tagged_above=-999 required=5 tests=[AWL=-0.786, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, SARE_HTML_USL_OBFU=1.666, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id pM2qQuG9ubZZ for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 14:04:04 -0700 (PDT)
Received: from mail-bk0-f44.google.com (mail-bk0-f44.google.com [209.85.214.44]) by ietfa.amsl.com (Postfix) with ESMTP id 91B1921F86F8 for <clue@ietf.org>; Wed, 25 Jul 2012 14:04:04 -0700 (PDT)
Received: by bkty7 with SMTP id y7so781580bkt.31 for <clue@ietf.org>; Wed, 25 Jul 2012 14:04:03 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=0i4mM/2R5BsPooaU71OVulsp4nRj7/L2dlmn4lzKcwM=; b=o6aT2IbwNwnyAjFkNQa8gl1Bch28F2LCFLtUkPPBlEBaCElpsjKQ/GImBVJ2Tntz2r wLxYvK9yIOYDFcQvrzey4e3Ef5sn+6uGjhpvfBWVqQFXnWQylrJ2PD9jsZfLrf9Nwg6C alpFO8qPWf5Jyf7F6rCFMbre9qS24uK7fquCaBz6Jt8C9GpGy75JzyJXSNRWeNUGDJwa mSImISVtdxIct9Kaw/zPAQj6fZZ1yEn2CIAxkB8xZ+ayiYXD2NW4NFqQpKXF9garg8Pu m+/rZM8VDVo56fgsJ6VuA5s1RkjCztqS5XRxoLBdJVb8NyuyuZK3g17+Caj9364SUtPN Tnrw==
MIME-Version: 1.0
Received: by 10.205.120.18 with SMTP id fw18mr13103689bkc.64.1343250243587; Wed, 25 Jul 2012 14:04:03 -0700 (PDT)
Received: by 10.204.227.198 with HTTP; Wed, 25 Jul 2012 14:04:03 -0700 (PDT)
In-Reply-To: <500DD452.1060508@alum.mit.edu>
References: <CAHBDyN576KwyXpCPW86=Foc6zU0ceh0O0fAXwAJfxzH24r494A@mail.gmail.com> <500DD452.1060508@alum.mit.edu>
Date: Wed, 25 Jul 2012 16:04:03 -0500
Message-ID: <CAHBDyN7NWWzstcA-KYvyFbMEUZBQoDW0dDzeeyzq4VJAo8+6_g@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: Paul Kyzivat <pkyzivat@alum.mit.edu>
Content-Type: multipart/alternative; boundary=000e0cdfd4be9d0f5c04c5add157
Cc: clue@ietf.org
Subject: Re: [clue] Design Team meeting - July 24th, 2012
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 25 Jul 2012 21:04:06 -0000

--000e0cdfd4be9d0f5c04c5add157
Content-Type: text/plain; charset=ISO-8859-1

I think it would be a good idea if we could do a dry run - we wouldn't need
to run through all the charts just practice how we'll do handoffs between
presentations so things will go smoothly.  I have setup a doodle - the only
times I possibly have are Sunday morning or Monday morning:
http://doodle.com/vqffmgkgptscq3bp

Mary.

On Mon, Jul 23, 2012 at 5:46 PM, Paul Kyzivat <pkyzivat@alum.mit.edu> wrote:

> On 7/23/12 5:40 PM, Mary Barnes wrote:
>
>  It was mentioned on one of the calls that we should try to run through
>> the material live in Vancouver. I'm not sure how feasible that is. For
>> me, Sunday morning or Monday morning (before main CLUE meeting) are the
>> only time options that I have.  Monday morning is likely more feasible
>> as the secretariat would already have projectors in rooms and we could
>> just use the room where we will have the CLUE WG session.  That's not
>> ideal for me as I have to chair the DISPATCH WG meeting during the last
>> session and have the IAB plenary that night.
>>
>
> It was "wishful thinking" on my part, while realizing it might not be
> feasible.
>
> What I was thinking of was after the social sunday night. But I already
> have a conflict then, though I could probably break it if need be.
>
> We had better make the run through tomorrow be a good one!
>
>         Thanks,
>         Paul
> ______________________________**_________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/**listinfo/clue<https://www.ietf.org/mailman/listinfo/clue>
>

--000e0cdfd4be9d0f5c04c5add157
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

I think it would be a good idea if we could do a dry run -=A0we wouldn&#39;=
t need to run through all the charts just practice how we&#39;ll do handoff=
s between presentations so things will go smoothly. =A0I have setup a doodl=
e - the only times I possibly have are Sunday morning or Monday morning:<di=
v>
<div><div><a href=3D"http://doodle.com/vqffmgkgptscq3bp">http://doodle.com/=
vqffmgkgptscq3bp</a></div><div><br></div><div>Mary.=A0<br><br><div class=3D=
"gmail_quote">On Mon, Jul 23, 2012 at 5:46 PM, Paul Kyzivat <span dir=3D"lt=
r">&lt;<a href=3D"mailto:pkyzivat@alum.mit.edu" target=3D"_blank">pkyzivat@=
alum.mit.edu</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex"><div class=3D"im">On 7/23/12 5:40 PM, Mary B=
arnes wrote:<br>
<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">
It was mentioned on one of the calls that we should try to run through<br>
the material live in Vancouver. I&#39;m not sure how feasible that is. For<=
br>
me, Sunday morning or Monday morning (before main CLUE meeting) are the<br>
only time options that I have. =A0Monday morning is likely more feasible<br=
>
as the secretariat would already have projectors in rooms and we could<br>
just use the room where we will have the CLUE WG session. =A0That&#39;s not=
<br>
ideal for me as I have to chair the DISPATCH WG meeting during the last<br>
session and have the IAB plenary that night.<br>
</blockquote>
<br></div>
It was &quot;wishful thinking&quot; on my part, while realizing it might no=
t be feasible.<br>
<br>
What I was thinking of was after the social sunday night. But I already hav=
e a conflict then, though I could probably break it if need be.<br>
<br>
We had better make the run through tomorrow be a good one!<br>
<br>
=A0 =A0 =A0 =A0 Thanks,<br>
=A0 =A0 =A0 =A0 Paul<br>
______________________________<u></u>_________________<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/<u></u>listinfo/clue</a><br>
</blockquote></div><br></div></div></div>

--000e0cdfd4be9d0f5c04c5add157--

From lennard.xiao@huawei.com  Wed Jul 25 23:54:09 2012
Return-Path: <lennard.xiao@huawei.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id B2A9B21F86E5 for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 23:54:09 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.599
X-Spam-Level: 
X-Spam-Status: No, score=-6.599 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id YPiu+8VSb76t for <clue@ietfa.amsl.com>; Wed, 25 Jul 2012 23:54:08 -0700 (PDT)
Received: from dfwrgout.huawei.com (dfwrgout.huawei.com [206.16.17.72]) by ietfa.amsl.com (Postfix) with ESMTP id 77B0F21F86E4 for <clue@ietf.org>; Wed, 25 Jul 2012 23:54:08 -0700 (PDT)
Received: from 172.18.9.243 (EHLO dfweml202-edg.china.huawei.com) ([172.18.9.243]) by dfwrg02-dlp.huawei.com (MOS 4.2.3-GA FastPath) with ESMTP id AIB97043; Thu, 26 Jul 2012 02:54:08 -0400 (EDT)
Received: from DFWEML403-HUB.china.huawei.com (10.193.5.151) by dfweml202-edg.china.huawei.com (172.18.9.108) with Microsoft SMTP Server (TLS) id 14.1.323.3; Wed, 25 Jul 2012 23:51:53 -0700
Received: from SZXEML432-HUB.china.huawei.com (10.72.61.60) by dfweml403-hub.china.huawei.com (10.193.5.151) with Microsoft SMTP Server (TLS) id 14.1.323.3; Wed, 25 Jul 2012 23:51:51 -0700
Received: from SZXEML527-MBX.china.huawei.com ([169.254.3.194]) by SZXEML432-HUB.china.huawei.com ([10.72.61.60]) with mapi id 14.01.0323.003; Thu, 26 Jul 2012 14:51:38 +0800
From: Xiaojing <lennard.xiao@huawei.com>
To: "Espen Berger (espeberg)" <espeberg@cisco.com>, "clue@ietf.org" <clue@ietf.org>
Thread-Topic: [clue] FW: New Version Notification	for draft-xiao-clue-telemedical-use-case-00.txt
Thread-Index: AQHNanjEkofgxE37f0uI06BxL8BiEZc6xXGA
Date: Thu, 26 Jul 2012 06:51:37 +0000
Message-ID: <8A527E21B95EF842BC0E952D6E82297747DA1F8A@szxeml527-mbx.china.huawei.com>
References: <8A527E21B95EF842BC0E952D6E82297747DA1D4A@szxeml527-mbx.china.huawei.com> <E8F5F2C7B2623641BD9ABF0B622D726D023AEA@xmb-rcd-x11.cisco.com>
In-Reply-To: <E8F5F2C7B2623641BD9ABF0B622D726D023AEA@xmb-rcd-x11.cisco.com>
Accept-Language: zh-CN, en-US
Content-Language: zh-CN
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.11.169.96]
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
X-CFilter-Loop: Reflected
Subject: Re: [clue] FW: New Version Notification	for	draft-xiao-clue-telemedical-use-case-00.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 26 Jul 2012 06:54:09 -0000

Hi Espen,

Please see my response inline.

Regards,
Lennard

-----Original Message-----
From: Espen Berger (espeberg) [mailto:espeberg@cisco.com]=20
Sent: Wednesday, July 25, 2012 11:19 PM
To: Xiaojing; clue@ietf.org
Subject: RE: [clue] FW: New Version Notification for draft-xiao-clue-teleme=
dical-use-case-00.txt

Thanks for sharing the use case. I had a similar use case in mind, advanced=
 lecture type calls mainly focusing on P2P with multiple presentation strea=
ms. =20

My assumption for an advanced use case like this is each capture has at lea=
st a description field, e.g. 'x-ray' or  'CT-scan', that can be used by a m=
anual operator to start and stop what to receive. This use case explains wh=
y we need descriptions for both capture-scenes and captures.=20

[Xiao Jing] I share the same thinking on the description field with you. Th=
e different presentations need to be identified from each other. A straight=
forward way is to add description tags to them.=20

Questions
* Do you assume manual or automatic selection of presentation streams?=20
[Xiao Jing] In my initial thinking, in the use case it is the surgeon and e=
ndpoint users who decide which presentation streams to be sent and displaye=
d. Thus it is necessary to identify the presentations.
* How do you decide which presentation streams are important? What if you o=
ffer three presentation streams and I can only receive one, how do I decide=
 which of them to receive?=20
[Xiao Jing] I assume that the users can differentiate the streams and then =
decide which to receive. In this case, if the user knows exactly what the s=
tream is about, he can decide without additional information from the provi=
der. But I also think we can introduced kind of priority concept into it. T=
he "content" attribute could be a good place to include this idea. In my me=
mory, Christian and Paul are working on this issue, and I'll try to inform =
them to take this into consideration.=20
* Have you identified additional meta-information to the CLUE framework nee=
ded to describe the information you have in mind writing up the use case.=20
[Xiao Jing] In this early stage, I'm just trying to draw concern about the =
necessity of having multiple presentation streams. I think the current fram=
ework can cover all the new requirements coming up with this use case at ea=
se.=20

Regards=20

-Espen=20


-----Original Message-----
From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Xia=
ojing
Sent: 25. juli 2012 04:40
To: clue@ietf.org
Subject: [clue] FW: New Version Notification for draft-xiao-clue-telemedica=
l-use-case-00.txt

Hi all,

I've submitted a telemedical use case, which addresses the use of Teleprese=
nce into medical scenarios.

I think this use case is valid to add another application field where Telep=
resence can be used.
So I'd like to suggest adding this use case into the current use case docum=
ent.

Also, along with this use case, some new requirements might come up, e.g. t=
he requirement to support multiple presentation streams, which might be con=
sidered into the requirement draft.

Best regards,
Lennard

-----Original Message-----
From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]=20
Sent: Monday, July 09, 2012 11:13 AM
To: Xiaojing
Cc: Roni even
Subject: New Version Notification for draft-xiao-clue-telemedical-use-case-=
00.txt


A new version of I-D, draft-xiao-clue-telemedical-use-case-00.txt
has been successfully submitted by Lennard Xiao and posted to the
IETF repository.

Filename:	 draft-xiao-clue-telemedical-use-case
Revision:	 00
Title:		 Use Case for Telemedical with Multi-streams
Creation date:	 2012-07-06
WG ID:		 Individual Submission
Number of pages: 5
URL:             http://www.ietf.org/internet-drafts/draft-xiao-clue-teleme=
dical-use-case-00.txt
Status:          http://datatracker.ietf.org/doc/draft-xiao-clue-telemedica=
l-use-case
Htmlized:        http://tools.ietf.org/html/draft-xiao-clue-telemedical-use=
-case-00


Abstract:
   This memo presenst a telemedicine use case where multiple
   presentation streams are used for conveying different information in
   parallel to the main video from the surgery room

                                                                           =
      =20


The IETF Secretariat
_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

From Mark.Duckworth@polycom.com  Thu Jul 26 05:21:08 2012
Return-Path: <Mark.Duckworth@polycom.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 8945C21F875B for <clue@ietfa.amsl.com>; Thu, 26 Jul 2012 05:21:08 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -6.512
X-Spam-Level: 
X-Spam-Status: No, score=-6.512 tagged_above=-999 required=5 tests=[AWL=0.087,  BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 7h3JVltprlZs for <clue@ietfa.amsl.com>; Thu, 26 Jul 2012 05:21:07 -0700 (PDT)
Received: from crpehubprd02.polycom.com (crpehubprd01.polycom.com [140.242.64.158]) by ietfa.amsl.com (Postfix) with ESMTP id E569E21F8755 for <clue@ietf.org>; Thu, 26 Jul 2012 05:21:07 -0700 (PDT)
Received: from Crpmboxprd01.polycom.com ([fe80::e001:c7b0:91a1:9443]) by crpehubprd02.polycom.com ([fe80::5efe:10.236.0.154%12]) with mapi; Thu, 26 Jul 2012 05:21:06 -0700
From: "Duckworth, Mark" <Mark.Duckworth@polycom.com>
To: "clue@ietf.org" <clue@ietf.org>
Date: Thu, 26 Jul 2012 05:21:05 -0700
Thread-Topic: [clue] Can we close Ticket #9 axis of capture?
Thread-Index: Ac1qBNVELGRaZaxvSCKwCOaA/NFeCQBI+3MQ
Message-ID: <44C6B6B2D0CF424AA90B6055548D7A61038F5B1178@CRPMBOXPRD01.polycom.com>
References: <44C6B6B2D0CF424AA90B6055548D7A61038F4667C2@CRPMBOXPRD01.polycom.com> <500F4BAC.5010200@nteczone.com>
In-Reply-To: <500F4BAC.5010200@nteczone.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
acceptlanguage: en-US
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] Can we close Ticket #9 axis of capture?
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 26 Jul 2012 12:21:08 -0000

Hi Christian,

Your proposal seems reasonable to me, it seems to be a bit more clear and e=
xact than the current text.
I'd like to see more people express support for this change before I add it=
 to the framework.  Does anybody else agree with this change?

Mark

> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
> Christian Groves
> Sent: Tuesday, July 24, 2012 9:28 PM
> To: clue@ietf.org
> Subject: Re: [clue] Can we close Ticket #9 axis of capture?
>=20
> Hello Mark,
>=20
> I don't know if there was no consensus there just didn't appear to any
> conclusion. There appeared to be the following points:
> - I think both John and I found the name confusing
> - There was also discussion regards to the placement of the second point,=
 i.e.
> that it should lie between the point of capture and the area of capture.
> - John had a point about the action if the attribute is included in error=
.
> - Paul proposed possibly making a single attribute with two values.
>=20
> So taking into above what I would propose would be:
>=20
> Point on line of capture: {(X,Y,Z)}
>=20
> A field with a single Cartesian (X, Y, Z) point value (virtual or
> physical) which describes a position in space of a second point on the op=
tical axis
> of the capturing device; the first point being the Point of Capture (see =
above).
> This point MUST lie between the Point of Capture and the Area area of cap=
ture.
>=20
> The Point on Line of Capture MUST be ignored if the Point of Capture is n=
ot
> present for this capture device.  When the Point on Line of Capture attri=
bute is
> specified, it must include X, Y and Z coordinates.  These coordinates MUS=
T NOT
> be identical to the Point of Capture coordinates.
> If the Point on Line of Capture is not specified, no assumptions are made=
 about
> the optical axis of the capturing device.
>=20
> John or Paul may have something to add/modify.
>=20
> Regards, Christian
>=20
> On 24/07/2012 10:50 PM, Duckworth, Mark wrote:
> >
> > We recently added an attribute in the framework to address Ticket #9
> > Axis of capture description
> > <http://trac.tools.ietf.org/wg/clue/trac/ticket/9>.  There were some
> > suggestions and discussion on the email list about changing some
> > details of the text.  But it seems there was no consensus to change
> > anything.  So can we close this ticket and keep the text as is?
> > Personally, that is my preference.
> >
> > Mark
> >
> >
> >
> > _______________________________________________
> > clue mailing list
> > clue@ietf.org
> > https://www.ietf.org/mailman/listinfo/clue
>=20
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue

From pkyzivat@alum.mit.edu  Thu Jul 26 06:28:36 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 2CA6E21F872E for <clue@ietfa.amsl.com>; Thu, 26 Jul 2012 06:28:36 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -1.263
X-Spam-Level: 
X-Spam-Status: No, score=-1.263 tagged_above=-999 required=5 tests=[AWL=-0.826, BAYES_00=-2.599, FH_RELAY_NODNS=1.451, HELO_MISMATCH_NET=0.611, RDNS_NONE=0.1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 0RBZQYlAxClq for <clue@ietfa.amsl.com>; Thu, 26 Jul 2012 06:28:35 -0700 (PDT)
Received: from qmta01.westchester.pa.mail.comcast.net (qmta01.westchester.pa.mail.comcast.net [IPv6:2001:558:fe14:43:76:96:62:16]) by ietfa.amsl.com (Postfix) with ESMTP id 2773C21F8700 for <clue@ietf.org>; Thu, 26 Jul 2012 06:28:34 -0700 (PDT)
Received: from omta09.westchester.pa.mail.comcast.net ([76.96.62.20]) by qmta01.westchester.pa.mail.comcast.net with comcast id f01d1j0030SCNGk511UdSD; Thu, 26 Jul 2012 13:28:37 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta09.westchester.pa.mail.comcast.net with comcast id f1Uh1j00b3ZTu2S3V1UiLu; Thu, 26 Jul 2012 13:28:42 +0000
Message-ID: <50114600.3050406@alum.mit.edu>
Date: Thu, 26 Jul 2012 09:28:32 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <8A527E21B95EF842BC0E952D6E82297747DA1D4A@szxeml527-mbx.china.huawei.com> <E8F5F2C7B2623641BD9ABF0B622D726D023AEA@xmb-rcd-x11.cisco.com> <8A527E21B95EF842BC0E952D6E82297747DA1F8A@szxeml527-mbx.china.huawei.com>
In-Reply-To: <8A527E21B95EF842BC0E952D6E82297747DA1F8A@szxeml527-mbx.china.huawei.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] FW: New Version Notification	for	draft-xiao-clue-telemedical-use-case-00.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 26 Jul 2012 13:28:36 -0000

[as individual]

On 7/26/12 2:51 AM, Xiaojing wrote:
> Hi Espen,
>
> Please see my response inline.
>
> Regards,
> Lennard
>
> -----Original Message-----
> From: Espen Berger (espeberg) [mailto:espeberg@cisco.com]
> Sent: Wednesday, July 25, 2012 11:19 PM
> To: Xiaojing; clue@ietf.org
> Subject: RE: [clue] FW: New Version Notification for draft-xiao-clue-telemedical-use-case-00.txt
>
> Thanks for sharing the use case. I had a similar use case in mind, advanced lecture type calls mainly focusing on P2P with multiple presentation streams.
>
> My assumption for an advanced use case like this is each capture has at least a description field, e.g. 'x-ray' or  'CT-scan', that can be used by a manual operator to start and stop what to receive. This use case explains why we need descriptions for both capture-scenes and captures.
>
> [Xiao Jing] I share the same thinking on the description field with you. The different presentations need to be identified from each other. A straightforward way is to add description tags to them.

I think a textual description is the place to start.
It would be hard to start defining a machine-processable enumeration of 
application-specific categories.

We already have the proposal for such a mechanism.
This use case simply reinforces the need for that mechanism.

> Questions
> * Do you assume manual or automatic selection of presentation streams?
> [Xiao Jing] In my initial thinking, in the use case it is the surgeon and endpoint users who decide which presentation streams to be sent and displayed. Thus it is necessary to identify the presentations.
> * How do you decide which presentation streams are important? What if you offer three presentation streams and I can only receive one, how do I decide which of them to receive?
> [Xiao Jing] I assume that the users can differentiate the streams and then decide which to receive. In this case, if the user knows exactly what the stream is about, he can decide without additional information from the provider. But I also think we can introduced kind of priority concept into it. The "content" attribute could be a good place to include this idea. In my memory, Christian and Paul are working on this issue, and I'll try to inform them to take this into consideration.
> * Have you identified additional meta-information to the CLUE framework needed to describe the information you have in mind writing up the use case.
> [Xiao Jing] In this early stage, I'm just trying to draw concern about the necessity of having multiple presentation streams. I think the current framework can cover all the new requirements coming up with this use case at ease.

I'm not sure whether 'priority' has been brought up on this public list 
or not.

But it is my thought that we need a numeric priority value per capture, 
that can be used by the recipient when it doesn't have the resources to 
render even the smallest entry from each scene. *That* would provide a 
way for the receiving equipment to provide a default rendering. Some 
endpoints might also provide a gui for the end users to manually 
configure based on descriptions.

The numeric priority could be used to indicate that the presentation is 
more important than the speaker, or visa versa. And it can be used to 
indicate a relative priority among presentations. Etc.

	Thanks,
	Paul

> Regards
>
> -Espen
>
>
> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Xiaojing
> Sent: 25. juli 2012 04:40
> To: clue@ietf.org
> Subject: [clue] FW: New Version Notification for draft-xiao-clue-telemedical-use-case-00.txt
>
> Hi all,
>
> I've submitted a telemedical use case, which addresses the use of Telepresence into medical scenarios.
>
> I think this use case is valid to add another application field where Telepresence can be used.
> So I'd like to suggest adding this use case into the current use case document.
>
> Also, along with this use case, some new requirements might come up, e.g. the requirement to support multiple presentation streams, which might be considered into the requirement draft.
>
> Best regards,
> Lennard
>
> -----Original Message-----
> From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
> Sent: Monday, July 09, 2012 11:13 AM
> To: Xiaojing
> Cc: Roni even
> Subject: New Version Notification for draft-xiao-clue-telemedical-use-case-00.txt
>
>
> A new version of I-D, draft-xiao-clue-telemedical-use-case-00.txt
> has been successfully submitted by Lennard Xiao and posted to the
> IETF repository.
>
> Filename:	 draft-xiao-clue-telemedical-use-case
> Revision:	 00
> Title:		 Use Case for Telemedical with Multi-streams
> Creation date:	 2012-07-06
> WG ID:		 Individual Submission
> Number of pages: 5
> URL:             http://www.ietf.org/internet-drafts/draft-xiao-clue-telemedical-use-case-00.txt
> Status:          http://datatracker.ietf.org/doc/draft-xiao-clue-telemedical-use-case
> Htmlized:        http://tools.ietf.org/html/draft-xiao-clue-telemedical-use-case-00
>
>
> Abstract:
>     This memo presenst a telemedicine use case where multiple
>     presentation streams are used for conveying different information in
>     parallel to the main video from the surgery room
>
>
>
>
> The IETF Secretariat
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From pkyzivat@alum.mit.edu  Thu Jul 26 06:43:41 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 21DFD21F876E for <clue@ietfa.amsl.com>; Thu, 26 Jul 2012 06:43:41 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.329
X-Spam-Level: 
X-Spam-Status: No, score=-2.329 tagged_above=-999 required=5 tests=[AWL=0.270,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id Wo1POIsns5gD for <clue@ietfa.amsl.com>; Thu, 26 Jul 2012 06:43:40 -0700 (PDT)
Received: from qmta05.westchester.pa.mail.comcast.net (qmta05.westchester.pa.mail.comcast.net [76.96.62.48]) by ietfa.amsl.com (Postfix) with ESMTP id D28D621F8767 for <clue@ietf.org>; Thu, 26 Jul 2012 06:43:39 -0700 (PDT)
Received: from omta22.westchester.pa.mail.comcast.net ([76.96.62.73]) by qmta05.westchester.pa.mail.comcast.net with comcast id eym51j0011ap0As551jYk7; Thu, 26 Jul 2012 13:43:32 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta22.westchester.pa.mail.comcast.net with comcast id f1jl1j00p3ZTu2S3i1jlU2; Thu, 26 Jul 2012 13:43:45 +0000
Message-ID: <50114980.2000109@alum.mit.edu>
Date: Thu, 26 Jul 2012 09:43:28 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <44C6B6B2D0CF424AA90B6055548D7A61038F4667C2@CRPMBOXPRD01.polycom.com> <500F4BAC.5010200@nteczone.com> <44C6B6B2D0CF424AA90B6055548D7A61038F5B1178@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A61038F5B1178@CRPMBOXPRD01.polycom.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Can we close Ticket #9 axis of capture?
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 26 Jul 2012 13:43:41 -0000

On 7/26/12 8:21 AM, Duckworth, Mark wrote:
> Hi Christian,
>
> Your proposal seems reasonable to me, it seems to be a bit more clear and exact than the current text.
> I'd like to see more people express support for this change before I add it to the framework.  Does anybody else agree with this change?

WFM

	Thanks,
	Paul

> Mark
>
>> -----Original Message-----
>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
>> Christian Groves
>> Sent: Tuesday, July 24, 2012 9:28 PM
>> To: clue@ietf.org
>> Subject: Re: [clue] Can we close Ticket #9 axis of capture?
>>
>> Hello Mark,
>>
>> I don't know if there was no consensus there just didn't appear to any
>> conclusion. There appeared to be the following points:
>> - I think both John and I found the name confusing
>> - There was also discussion regards to the placement of the second point, i.e.
>> that it should lie between the point of capture and the area of capture.
>> - John had a point about the action if the attribute is included in error.
>> - Paul proposed possibly making a single attribute with two values.
>>
>> So taking into above what I would propose would be:
>>
>> Point on line of capture: {(X,Y,Z)}
>>
>> A field with a single Cartesian (X, Y, Z) point value (virtual or
>> physical) which describes a position in space of a second point on the optical axis
>> of the capturing device; the first point being the Point of Capture (see above).
>> This point MUST lie between the Point of Capture and the Area area of capture.
>>
>> The Point on Line of Capture MUST be ignored if the Point of Capture is not
>> present for this capture device.  When the Point on Line of Capture attribute is
>> specified, it must include X, Y and Z coordinates.  These coordinates MUST NOT
>> be identical to the Point of Capture coordinates.
>> If the Point on Line of Capture is not specified, no assumptions are made about
>> the optical axis of the capturing device.
>>
>> John or Paul may have something to add/modify.
>>
>> Regards, Christian
>>
>> On 24/07/2012 10:50 PM, Duckworth, Mark wrote:
>>>
>>> We recently added an attribute in the framework to address Ticket #9
>>> Axis of capture description
>>> <http://trac.tools.ietf.org/wg/clue/trac/ticket/9>.  There were some
>>> suggestions and discussion on the email list about changing some
>>> details of the text.  But it seems there was no consensus to change
>>> anything.  So can we close this ticket and keep the text as is?
>>> Personally, that is my preference.
>>>
>>> Mark
>>>
>>>
>>>
>>> _______________________________________________
>>> clue mailing list
>>> clue@ietf.org
>>> https://www.ietf.org/mailman/listinfo/clue
>>
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From pkyzivat@alum.mit.edu  Thu Jul 26 07:45:46 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 3418821F869F for <clue@ietfa.amsl.com>; Thu, 26 Jul 2012 07:45:46 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -0.437
X-Spam-Level: 
X-Spam-Status: No, score=-0.437 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, FH_RELAY_NODNS=1.451, HELO_MISMATCH_NET=0.611,  RDNS_NONE=0.1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 6bZtI3ihP3j7 for <clue@ietfa.amsl.com>; Thu, 26 Jul 2012 07:45:45 -0700 (PDT)
Received: from qmta02.westchester.pa.mail.comcast.net (qmta02.westchester.pa.mail.comcast.net [IPv6:2001:558:fe14:43:76:96:62:24]) by ietfa.amsl.com (Postfix) with ESMTP id 144AF21F86AA for <clue@ietf.org>; Thu, 26 Jul 2012 07:45:44 -0700 (PDT)
Received: from omta01.westchester.pa.mail.comcast.net ([76.96.62.11]) by qmta02.westchester.pa.mail.comcast.net with comcast id f2aw1j00A0EZKEL512lnFB; Thu, 26 Jul 2012 14:45:47 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([IPv6:2002:328a:e5a4:0:49e3:23df:548b:ea0f]) by omta01.westchester.pa.mail.comcast.net with comcast id f2lu1j0011UYScY3M2luaB; Thu, 26 Jul 2012 14:45:55 +0000
Message-ID: <50115816.3090900@alum.mit.edu>
Date: Thu, 26 Jul 2012 10:45:42 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: Andrew Pepperell <apeppere@gmail.com>
References: <004c01cd6a45$9f6115c0$de234140$@gmail.com> <501001E0.30706@alum.mit.edu> <CAA86=sOz5j4gXigRuZ6OiAWGC6H+UGcsstFxdNDyJTtZ2BVMgg@mail.gmail.com> <501008E1.5060006@alum.mit.edu> <796BD0FD-2F14-4A43-B6E8-66D3B8B67A01@gmail.com>
In-Reply-To: <796BD0FD-2F14-4A43-B6E8-66D3B8B67A01@gmail.com>
Content-Type: text/plain; charset=UTF-8; format=flowed
Content-Transfer-Encoding: 8bit
Cc: "clue@ietf.org" <clue@ietf.org>
Subject: Re: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 26 Jul 2012 14:45:46 -0000

On 7/25/12 1:50 PM, Andrew Pepperell wrote:
> Hi Paul,
>
> Apologies if it seemed like I was evading your question (!). Partly I was keen not to give the impression what I was saying was any more than just my opinion on this issue...
>
> In the general case I believe VC4 in this example has to [permitted to be] a separately encoded stream needing a separate decode. This would be essential for cases where the switched sub-scene view *wasn't* just one of VC1..3, and also for cases where the consumer requires different encoding characteristics, e.g. a lower resolution or bit rate.
>
> The RTP usage draft from Jonathan and others describes how the same actual encoding can be sent by a provider to satisfy multiple consumer choices. I maintain, though clearly it's a matter of opinion, that the best way for a consumer to guarantee that "VC4" be a shared encode of one of VC1..VC3 is for it to receive only those captures and perform the segment switching itself (we've talked in various meetings about linking VAD / energy detection to provider-side co-ordinates and this would seem to be applicable here, as it also addresses cases where the provider would not be able to supply a separate, additional, VC4 equivalent).
>
> You probably think this still doesn't answer your question - I think for some cases it's yes and for some it's no, depending on how the provider is providing the switched capture and on how the consumer plans to use it. It's definitely the case that ghere's no explicit signalling for a provider to say "capture N" is always one of this set of other captures - by way of further generalization, it might also be instructive to consider a potential additional capture scene entry consisting of VC5..VC8, a 4 capture representation of the scene. If this too were present, it would not be possible to determine without extra explicit indication from the provider whether the switched VC4 was one of the 1..3 set or the 5..8 set.

ISTM there are *two* questions hidden here, though they are closely related.

One is whether VC4 requires a separate *encoding* resource.
The 2nd is whether VC4 requires a separate *decoding* resource.

The question of the encoding resource comes down to a decision by the 
receiver about which combinations of captures can be selected. If the 
receiver thinks that a separate encoder is required for VC4, then it may 
conclude that it won't be able to select it with some other captures 
because the advertiser hasn't indicated sufficient encoding resources.

 From the provider's perspective, it may be that it can perform an 
internal optimization and so require less resources than the receiver 
thinks are required. That is nice for the provider, but it also means 
that some useful configurations aren't usable because they can't be 
discovered by the recipient.

Similarly, the recipient can only select those configurations that it 
has decoders to handle. And once it has assigned decoders, it probably 
has less opportunity (than the provider) to exploit optimizations that 
would let it use fewer decoders.

Having said all that, I don't know if it implies any changes to the 
mechanisms that have proposed.

	Thanks,
	Paul

> Regards,
>
> Andy
>
>
> On 25 Jul 2012, at 15:55, Paul Kyzivat<pkyzivat@alum.mit.edu>  wrote:
>
>> On 7/25/12 10:44 AM, Andy Pepperell wrote:
>>> Hi Paul,
>>>
>>>> I wonder about this. If capture ids are being sent in the media
>>> stream, then won't a separate codec resource be required for VC4 to do
>>> that? Or are you assuming that insertion of the capture id is a separate
>>> function from the codec?
>>>
>>> I think it's true that there will be a separate distinct ID for VC4 as
>>> compared to any of the others (this is obviously essential for cases
>>> where VC4 is not just a simple copy of VC1, VC2 or VC3). The media-9
>>> requirement that Roni cites in "draft-lennox-clue-rtp-usage-04" covers
>>> this case to some degree, and the intent (from that draft) in this
>>> scenario is for the provider to use more than one header-extension value
>>> within the same RTP stream (most notably, the same SSRC) to indicate
>>> this equivalence to the consumer (the consumer may or may not be set up
>>> to be optimised for this case).
>>>
>>> A forthcoming amendment to that RTP usage draft proposes that instead of
>>> the capture ID being used within the RTP encoding, it's a
>>> consumer-chosen ID (for the purposes of this discussion I don't believe
>>> it's significant, but this is necessary for simulcast cases, and at the
>>> last interim meeting there was broad agreement over the usefulness of
>>> the ID being chosen by the consumer-side rather than the provider).
>>
>> I understand all that. But you didn't answer my question:
>>
>> Does this mean that a switched capture always requires a separate encoding resource?
>>
>> I guess you were arguing that the consumer must assume it does.
>>
>>     Thanks,
>>     Paul
>>
>>> Andy
>>>
>>>
>>>
>>> On Wed, Jul 25, 2012 at 3:25 PM, Paul Kyzivat<pkyzivat@alum.mit.edu
>>> <mailto:pkyzivat@alum.mit.edu>>  wrote:
>>>
>>>     On 7/25/12 5:12 AM, Roni Even wrote:
>>>
>>>         Hi,
>>>
>>>         I am still trying to understand how the encoding groups and Id work.
>>>
>>>         Suppose the advertisement include four media captures.
>>>
>>>         VC1 â€“ left camera
>>>
>>>         VC2 â€“ center camera
>>>
>>>         VC3 â€“ right camera
>>>
>>>         VC4 â€“ switched
>>>
>>>         The capture scene entries may be
>>>
>>>         (vc1,vc2,vc3,vc4)
>>>
>>>         (vc4)
>>>
>>>         VC4 appears in the both entries but it may have different encoding
>>>         constrains in both cases.
>>>
>>>         The encoding constrains have two values that reflect different
>>>         resources. One is for network bandwidth and the second is for
>>>         the codec
>>>         performance.
>>>
>>>         In the first capture scene entry VC4 does not require any additional
>>>         codec resource since it will use one from VC1,2 or 3.
>>>
>>>
>>>     I wonder about this. If capture ids are being sent in the media
>>>     stream, then won't a separate codec resource be required for VC4 to
>>>     do that? Or are you assuming that insertion of the capture id is a
>>>     separate function from the codec?
>>>
>>>              Thanks,
>>>              Paul
>>>
>>>     _________________________________________________
>>>     clue mailing list
>>>     clue@ietf.org<mailto:clue@ietf.org>
>>>     https://www.ietf.org/mailman/__listinfo/clue
>>>     <https://www.ietf.org/mailman/listinfo/clue>
>>>
>>>
>>
>


From john@jlc.net  Thu Jul 26 08:56:41 2012
Return-Path: <john@jlc.net>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 8593821F85E6 for <clue@ietfa.amsl.com>; Thu, 26 Jul 2012 08:56:41 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -105.566
X-Spam-Level: 
X-Spam-Status: No, score=-105.566 tagged_above=-999 required=5 tests=[AWL=1.033, BAYES_00=-2.599, RCVD_IN_DNSWL_MED=-4, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id lmm1+LSy1vEk for <clue@ietfa.amsl.com>; Thu, 26 Jul 2012 08:56:41 -0700 (PDT)
Received: from mailhost.jlc.net (mailhost.jlc.net [199.201.159.4]) by ietfa.amsl.com (Postfix) with ESMTP id F0CCF21F848B for <clue@ietf.org>; Thu, 26 Jul 2012 08:56:40 -0700 (PDT)
Received: by mailhost.jlc.net (Postfix, from userid 104) id 8582A33C26; Thu, 26 Jul 2012 11:56:40 -0400 (EDT)
Date: Thu, 26 Jul 2012 11:56:40 -0400
From: John Leslie <john@jlc.net>
To: Paul Kyzivat <pkyzivat@alum.mit.edu>
Message-ID: <20120726155640.GE14836@verdi>
References: <44C6B6B2D0CF424AA90B6055548D7A61038F4667C2@CRPMBOXPRD01.polycom.com> <500F4BAC.5010200@nteczone.com> <44C6B6B2D0CF424AA90B6055548D7A61038F5B1178@CRPMBOXPRD01.polycom.com> <50114980.2000109@alum.mit.edu>
Mime-Version: 1.0
Content-Type: text/plain; charset=us-ascii
Content-Disposition: inline
In-Reply-To: <50114980.2000109@alum.mit.edu>
User-Agent: Mutt/1.4.1i
Cc: clue@ietf.org
Subject: Re: [clue] Can we close Ticket #9 axis of capture?
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 26 Jul 2012 15:56:41 -0000

Paul Kyzivat <pkyzivat@alum.mit.edu> wrote:
> On 7/26/12 8:21 AM, Duckworth, Mark wrote:
>>
>>Your proposal seems reasonable to me, it seems to be a bit more clear and 
>>exact than the current text.
>>I'd like to see more people express support for this change before I add 
>>it to the framework.  Does anybody else agree with this change?
> 
> WFM

   +1

--
John Leslie <john@jlc.net>

From pkyzivat@alum.mit.edu  Thu Jul 26 11:25:25 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 2991D21F8587 for <clue@ietfa.amsl.com>; Thu, 26 Jul 2012 11:25:25 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -1.256
X-Spam-Level: 
X-Spam-Status: No, score=-1.256 tagged_above=-999 required=5 tests=[AWL=-0.819, BAYES_00=-2.599, FH_RELAY_NODNS=1.451, HELO_MISMATCH_NET=0.611, RDNS_NONE=0.1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id X7z7xKd4U60o for <clue@ietfa.amsl.com>; Thu, 26 Jul 2012 11:25:24 -0700 (PDT)
Received: from qmta02.westchester.pa.mail.comcast.net (qmta02.westchester.pa.mail.comcast.net [IPv6:2001:558:fe14:43:76:96:62:24]) by ietfa.amsl.com (Postfix) with ESMTP id 376C121F857D for <clue@ietf.org>; Thu, 26 Jul 2012 11:25:24 -0700 (PDT)
Received: from omta05.westchester.pa.mail.comcast.net ([76.96.62.43]) by qmta02.westchester.pa.mail.comcast.net with comcast id ezYZ1j0050vyq2s516RSVv; Thu, 26 Jul 2012 18:25:26 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta05.westchester.pa.mail.comcast.net with comcast id f6RY1j00Z3ZTu2S3R6RY71; Thu, 26 Jul 2012 18:25:33 +0000
Message-ID: <50118B92.7020703@alum.mit.edu>
Date: Thu, 26 Jul 2012 14:25:22 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <500DE568.1030909@nteczone.com> <500DE806.8050101@alum.mit.edu> <44C6B6B2D0CF424AA90B6055548D7A61038F466790@CRPMBOXPRD01.polycom.com>
In-Reply-To: <44C6B6B2D0CF424AA90B6055548D7A61038F466790@CRPMBOXPRD01.polycom.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] Capture Scene Entry question
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Thu, 26 Jul 2012 18:25:25 -0000

On 7/24/12 7:25 AM, Duckworth, Mark wrote:
> Christian,
> Your first example capture scene, with two separate entries, is exactly the sort of thing intended by the framework.  The first entry (VC1, VC2, VC3) is one good alternative for representing the scene, and the second entry (VC4) is another good alternative.
>
> But there shouldn't be anything stopping you from advertising your second example, with (VC1, VC2, VC3, VC4) all in the same entry.  But this entry by itself is not helpful for a consumer that doesn't want to (or can't) receive all four captures.
>
> Paul,
> Your classroom suggestion makes sense.  But the provider might also want to advertise capture scene entries with fewer captures per entry in order to suggest which captures a more limited consumer might find most useful.
> Another possible way to do it is to put the students in one scene and the teacher in another scene.

I see that the provider could provide entries with fewer captures, if it 
is capable of doing so. It could use composition and/or switching to 
cover the entire scene with fewer captures.

But what if it is not capable/willing to do that?
Is it valid for it to offer entries with fewer captures simply by 
dropping what it decides are less important captures? Can that be viewed 
as still representing the full scene?

Suppose that is ok. Then maybe it is ok to provide one entry that only 
shows part of the scene, using static captures, and another entry that 
shows the entire scene using switched captures. If so, how would the 
receiver realize the tradeoffs between the two?

	Thanks,
	Paul

> Mark
>
>> -----Original Message-----
>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Paul
>> Kyzivat
>> Sent: Monday, July 23, 2012 8:11 PM
>> To: clue@ietf.org
>> Subject: Re: [clue] Capture Scene Entry question
>>
>> [as individual]
>>
>> On 7/23/12 7:59 PM, Christian Groves wrote:
>>> Hello all,
>>>
>>> In reading the framework document I'm having trouble understanding
>>> exactly what a "Capture Scene Entry" is. In the framework it is defined as:
>>> /*Capture Scene Entry: a list of media captures of the same media type
>>> that together form one way to represent the capture scene./
>>>
>>> it also says:
>>> /A media provider arranges media captures in a capture scene to help
>>> the media consumer choose which captures it wants. The capture scene
>>> entries in a capture scene are different alternatives the provider is
>>> suggesting for representing the capture scene./
>>>
>>> I'm wondering how people interpret "one way" and "different alternatives"?
>>> You could interpret this as meaning that each "Capture Scene Entry"
>>> shows an entire scene, or you could interpret this as meaning that
>>> each "Capture Scene Entry" could show part of the overall scene.
>>>
>>> At least from my reading of the framework both interpretations are
>>> allowed. Is there a preferred interpretation?
>>> For example: if VC1,VC2,VC3 are three main cameras, VC4 is an camera
>>> that automatically zooms in on the active speaker. I could construct a
>>> capture scenes with one or two capture scene entries:
>>> +------------------+
>>> | Capture Scene #1 |
>>> +------------------+
>>> | VC1, VC2, VC3 |
>>> | VC4 |
>>> +------------------+
>>> or
>>> +--------------------+
>>> | Capture Scene #1 |
>>> +--------------------+
>>> | VC1, VC2, VC3, VC4 |
>>> +--------------------+
>>>
>>> What are people's thoughts?
>>
>> As described above, VC4 is functionally similar to a switched capture that
>> switches between VC1,VC2,VC3. (But I don't know if it is similar
>> *enough* to label it as a switched capture. Without some such label the receiver
>> won't realize what sort of thing it is getting.)
>>
>> As such, this seems a valid way to construct entries.
>>
>> But suppose the scene represents a classroom situation, with VC1,VC2,VC3
>> representing the "students" and VC4 represents the "teacher". In that case, I
>> think its necessary to place all four into one entry. Putting
>> VC1,VC2,VC3 in one entry, and VC4 in another would mean that each only
>> provides a partial view of the scene. And so I would think that was not a valid
>> usage.
>>
>> I went back to the framework to see if it was clear about this. IMO it isn't.
>>
>> 	Thanks,
>> 	Paul
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From Christian.Groves@nteczone.com  Thu Jul 26 21:42:12 2012
Return-Path: <Christian.Groves@nteczone.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id A761E21F852C for <clue@ietfa.amsl.com>; Thu, 26 Jul 2012 21:42:12 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.539
X-Spam-Level: 
X-Spam-Status: No, score=-2.539 tagged_above=-999 required=5 tests=[AWL=0.060,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id cMdKJUGM5YDT for <clue@ietfa.amsl.com>; Thu, 26 Jul 2012 21:42:11 -0700 (PDT)
Received: from ipmail07.adl2.internode.on.net (ipmail07.adl2.internode.on.net [IPv6:2001:44b8:8060:ff02:300:1:2:7]) by ietfa.amsl.com (Postfix) with ESMTP id AAB1421F851C for <clue@ietf.org>; Thu, 26 Jul 2012 21:42:10 -0700 (PDT)
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: ApMBAMIbElB20aSO/2dsb2JhbAANLgq8WgEBAQMBAQEBNRsbBgECAQ0ECxEEAQEBCRYIBwkDAgECARUfCAEIEwYCAQEFh34Rp1aUEItPCgaGZAOWXJFq
Received: from ppp118-209-164-142.lns20.mel6.internode.on.net (HELO [127.0.0.1]) ([118.209.164.142]) by ipmail07.adl2.internode.on.net with ESMTP; 27 Jul 2012 14:11:52 +0930
Message-ID: <50121C0B.5080100@nteczone.com>
Date: Fri, 27 Jul 2012 14:41:47 +1000
From: Christian Groves <Christian.Groves@nteczone.com>
User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:14.0) Gecko/20120713 Thunderbird/14.0
MIME-Version: 1.0
To: clue@ietf.org
References: <8A527E21B95EF842BC0E952D6E82297747DA1D4A@szxeml527-mbx.china.huawei.com> <E8F5F2C7B2623641BD9ABF0B622D726D023AEA@xmb-rcd-x11.cisco.com> <8A527E21B95EF842BC0E952D6E82297747DA1F8A@szxeml527-mbx.china.huawei.com> <50114600.3050406@alum.mit.edu>
In-Reply-To: <50114600.3050406@alum.mit.edu>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] FW: New Version Notification	for	draft-xiao-clue-telemedical-use-case-00.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 27 Jul 2012 04:42:12 -0000

Hello Paul,

I think have a enumeration for very specific capabilities woul dbe hard 
but I think there may be some common ones to many conferencing / 
telepresence scenarios. In the discussion of this topic I think that 
perhaps the "description" attribute we have today may be too broad. I 
was thinking it would be used for something like "Teleconference Room 2, 
Beijing" but it seems there's proposals to use this for functional level 
things like "speaker etc".

Regards, Christian

On 26/07/2012 11:28 PM, Paul Kyzivat wrote:
> [as individual]
>
> On 7/26/12 2:51 AM, Xiaojing wrote:
>> Hi Espen,
>>
>> Please see my response inline.
>>
>> Regards,
>> Lennard
>>
>> -----Original Message-----
>> From: Espen Berger (espeberg) [mailto:espeberg@cisco.com]
>> Sent: Wednesday, July 25, 2012 11:19 PM
>> To: Xiaojing; clue@ietf.org
>> Subject: RE: [clue] FW: New Version Notification for 
>> draft-xiao-clue-telemedical-use-case-00.txt
>>
>> Thanks for sharing the use case. I had a similar use case in mind, 
>> advanced lecture type calls mainly focusing on P2P with multiple 
>> presentation streams.
>>
>> My assumption for an advanced use case like this is each capture has 
>> at least a description field, e.g. 'x-ray' or  'CT-scan', that can be 
>> used by a manual operator to start and stop what to receive. This use 
>> case explains why we need descriptions for both capture-scenes and 
>> captures.
>>
>> [Xiao Jing] I share the same thinking on the description field with 
>> you. The different presentations need to be identified from each 
>> other. A straightforward way is to add description tags to them.
>
> I think a textual description is the place to start.
> It would be hard to start defining a machine-processable enumeration 
> of application-specific categories.
>
> We already have the proposal for such a mechanism.
> This use case simply reinforces the need for that mechanism.
>
>> Questions
>> * Do you assume manual or automatic selection of presentation streams?
>> [Xiao Jing] In my initial thinking, in the use case it is the surgeon 
>> and endpoint users who decide which presentation streams to be sent 
>> and displayed. Thus it is necessary to identify the presentations.
>> * How do you decide which presentation streams are important? What if 
>> you offer three presentation streams and I can only receive one, how 
>> do I decide which of them to receive?
>> [Xiao Jing] I assume that the users can differentiate the streams and 
>> then decide which to receive. In this case, if the user knows exactly 
>> what the stream is about, he can decide without additional 
>> information from the provider. But I also think we can introduced 
>> kind of priority concept into it. The "content" attribute could be a 
>> good place to include this idea. In my memory, Christian and Paul are 
>> working on this issue, and I'll try to inform them to take this into 
>> consideration.
>> * Have you identified additional meta-information to the CLUE 
>> framework needed to describe the information you have in mind writing 
>> up the use case.
>> [Xiao Jing] In this early stage, I'm just trying to draw concern 
>> about the necessity of having multiple presentation streams. I think 
>> the current framework can cover all the new requirements coming up 
>> with this use case at ease.
>
> I'm not sure whether 'priority' has been brought up on this public 
> list or not.
>
> But it is my thought that we need a numeric priority value per 
> capture, that can be used by the recipient when it doesn't have the 
> resources to render even the smallest entry from each scene. *That* 
> would provide a way for the receiving equipment to provide a default 
> rendering. Some endpoints might also provide a gui for the end users 
> to manually configure based on descriptions.
>
> The numeric priority could be used to indicate that the presentation 
> is more important than the speaker, or visa versa. And it can be used 
> to indicate a relative priority among presentations. Etc.
>
>     Thanks,
>     Paul
>
>> Regards
>>
>> -Espen
>>
>>
>> -----Original Message-----
>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf 
>> Of Xiaojing
>> Sent: 25. juli 2012 04:40
>> To: clue@ietf.org
>> Subject: [clue] FW: New Version Notification for 
>> draft-xiao-clue-telemedical-use-case-00.txt
>>
>> Hi all,
>>
>> I've submitted a telemedical use case, which addresses the use of 
>> Telepresence into medical scenarios.
>>
>> I think this use case is valid to add another application field where 
>> Telepresence can be used.
>> So I'd like to suggest adding this use case into the current use case 
>> document.
>>
>> Also, along with this use case, some new requirements might come up, 
>> e.g. the requirement to support multiple presentation streams, which 
>> might be considered into the requirement draft.
>>
>> Best regards,
>> Lennard
>>
>> -----Original Message-----
>> From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
>> Sent: Monday, July 09, 2012 11:13 AM
>> To: Xiaojing
>> Cc: Roni even
>> Subject: New Version Notification for 
>> draft-xiao-clue-telemedical-use-case-00.txt
>>
>>
>> A new version of I-D, draft-xiao-clue-telemedical-use-case-00.txt
>> has been successfully submitted by Lennard Xiao and posted to the
>> IETF repository.
>>
>> Filename:     draft-xiao-clue-telemedical-use-case
>> Revision:     00
>> Title:         Use Case for Telemedical with Multi-streams
>> Creation date:     2012-07-06
>> WG ID:         Individual Submission
>> Number of pages: 5
>> URL: 
>> http://www.ietf.org/internet-drafts/draft-xiao-clue-telemedical-use-case-00.txt
>> Status: 
>> http://datatracker.ietf.org/doc/draft-xiao-clue-telemedical-use-case
>> Htmlized: 
>> http://tools.ietf.org/html/draft-xiao-clue-telemedical-use-case-00
>>
>>
>> Abstract:
>>     This memo presenst a telemedicine use case where multiple
>>     presentation streams are used for conveying different information in
>>     parallel to the main video from the surgery room
>>
>>
>>
>>
>> The IETF Secretariat
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
>>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From ron.even.tlv@gmail.com  Fri Jul 27 00:11:35 2012
Return-Path: <ron.even.tlv@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 8504511E80DF for <clue@ietfa.amsl.com>; Fri, 27 Jul 2012 00:11:35 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.599
X-Spam-Level: 
X-Spam-Status: No, score=-3.599 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id WabeejaxRHu9 for <clue@ietfa.amsl.com>; Fri, 27 Jul 2012 00:11:34 -0700 (PDT)
Received: from mail-pb0-f44.google.com (mail-pb0-f44.google.com [209.85.160.44]) by ietfa.amsl.com (Postfix) with ESMTP id 83F9711E80D6 for <clue@ietf.org>; Fri, 27 Jul 2012 00:11:34 -0700 (PDT)
Received: by pbcwy7 with SMTP id wy7so4619188pbc.31 for <clue@ietf.org>; Fri, 27 Jul 2012 00:11:34 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=from:to:cc:references:in-reply-to:subject:date:message-id :mime-version:content-type:content-transfer-encoding:x-mailer :thread-index:content-language; bh=lOoyG/xFiPwDo5iChqL++I099lxFyvf+MAnDrx/aTxk=; b=mgAr0Q/fwdhUmsOTPWpEiV4lzW7aE7gqwwxgUlBN5a5v1+TR+emAP6rtRoOdhj+1dG t6rg5J6pa+Edb9yJ1qEeWy7l4W5Sij5i9l6+0eEnzNmR443D3rOkM7fmRw5kb3PJHWvn 8pqROhayWqFzudvEM3u2Nl6DDWbW8GG3/36QgKcPfWtCR9hcKQQFTjPvyrxW3RRkaHOI FnSbsrlXIIDCvsyWLdS/SJyYFLzKZLPGAgAVPvkI95naxFMxRvXjjFJwuti8YI6cWC3U sW7Q274eUJiPonRFW12ovv/f5xi1/DnNEJ+JqIHIpMprKFiWXpGFTVZg9R2Zl1uGccYy 8Jpw==
Received: by 10.68.218.103 with SMTP id pf7mr11668243pbc.67.1343373093994; Fri, 27 Jul 2012 00:11:33 -0700 (PDT)
Received: from RoniE ([206.191.100.2]) by mx.google.com with ESMTPS id hx9sm1344414pbc.68.2012.07.27.00.11.32 (version=TLSv1/SSLv3 cipher=OTHER); Fri, 27 Jul 2012 00:11:32 -0700 (PDT)
From: "Roni Even" <ron.even.tlv@gmail.com>
To: "'Paul Kyzivat'" <pkyzivat@alum.mit.edu>, "'Andrew Pepperell'" <apeppere@gmail.com>
References: <004c01cd6a45$9f6115c0$de234140$@gmail.com>	<501001E0.30706@alum.mit.edu>	<CAA86=sOz5j4gXigRuZ6OiAWGC6H+UGcsstFxdNDyJTtZ2BVMgg@mail.gmail.com>	<501008E1.5060006@alum.mit.edu>	<796BD0FD-2F14-4A43-B6E8-66D3B8B67A01@gmail.com> <50115816.3090900@alum.mit.edu>
In-Reply-To: <50115816.3090900@alum.mit.edu>
Date: Fri, 27 Jul 2012 10:10:29 +0200
Message-ID: <006101cd6bcf$49b4cb40$dd1e61c0$@gmail.com>
MIME-Version: 1.0
Content-Type: text/plain; charset="UTF-8"
Content-Transfer-Encoding: quoted-printable
X-Mailer: Microsoft Outlook 14.0
thread-index: AQKDrwqZuRpiwxPSzxtTrSp1seZOhgKah+AoAkoTl/wBepiY0wMeSt3DAlXi89GVcaOTQA==
Content-Language: en-us
Cc: clue@ietf.org
Subject: Re: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 27 Jul 2012 07:11:35 -0000

Hi,
There are another questions.=20
If VC4 does not require extra decoding resources, it will still require =
it when VC4 is advertised as a separate media capture entry.=20
Can I provide a different limit on VC4 depending on which media capture =
entry uses it. This is a general question when a media capture is =
advertised in more than one media capture entry but the advertisement =
would like different limitation on it. I assume the only way is to not =
have the same media capture in more than one entry and the text should =
mention this issue.
This will mean that in my example you cannot have both as VC4 and in the =
first entry it must be possible to say that there are no limitation on =
the MC in the advertisement to make it clear that no extra resources are =
needed for it when switching between VC1-3.
Roni

-----Original Message-----
From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of =
Paul Kyzivat
Sent: 26 July, 2012 4:46 PM
To: Andrew Pepperell
Cc: clue@ietf.org
Subject: Re: [clue] Question about encoding values

On 7/25/12 1:50 PM, Andrew Pepperell wrote:
> Hi Paul,
>
> Apologies if it seemed like I was evading your question (!). Partly I =
was keen not to give the impression what I was saying was any more than =
just my opinion on this issue...
>
> In the general case I believe VC4 in this example has to [permitted to =
be] a separately encoded stream needing a separate decode. This would be =
essential for cases where the switched sub-scene view *wasn't* just one =
of VC1..3, and also for cases where the consumer requires different =
encoding characteristics, e.g. a lower resolution or bit rate.
>
> The RTP usage draft from Jonathan and others describes how the same =
actual encoding can be sent by a provider to satisfy multiple consumer =
choices. I maintain, though clearly it's a matter of opinion, that the =
best way for a consumer to guarantee that "VC4" be a shared encode of =
one of VC1..VC3 is for it to receive only those captures and perform the =
segment switching itself (we've talked in various meetings about linking =
VAD / energy detection to provider-side co-ordinates and this would seem =
to be applicable here, as it also addresses cases where the provider =
would not be able to supply a separate, additional, VC4 equivalent).
>
> You probably think this still doesn't answer your question - I think =
for some cases it's yes and for some it's no, depending on how the =
provider is providing the switched capture and on how the consumer plans =
to use it. It's definitely the case that ghere's no explicit signalling =
for a provider to say "capture N" is always one of this set of other =
captures - by way of further generalization, it might also be =
instructive to consider a potential additional capture scene entry =
consisting of VC5..VC8, a 4 capture representation of the scene. If this =
too were present, it would not be possible to determine without extra =
explicit indication from the provider whether the switched VC4 was one =
of the 1..3 set or the 5..8 set.

ISTM there are *two* questions hidden here, though they are closely =
related.

One is whether VC4 requires a separate *encoding* resource.
The 2nd is whether VC4 requires a separate *decoding* resource.

The question of the encoding resource comes down to a decision by the =
receiver about which combinations of captures can be selected. If the =
receiver thinks that a separate encoder is required for VC4, then it may =
conclude that it won't be able to select it with some other captures =
because the advertiser hasn't indicated sufficient encoding resources.

 From the provider's perspective, it may be that it can perform an =
internal optimization and so require less resources than the receiver =
thinks are required. That is nice for the provider, but it also means =
that some useful configurations aren't usable because they can't be =
discovered by the recipient.

Similarly, the recipient can only select those configurations that it =
has decoders to handle. And once it has assigned decoders, it probably =
has less opportunity (than the provider) to exploit optimizations that =
would let it use fewer decoders.

Having said all that, I don't know if it implies any changes to the =
mechanisms that have proposed.

	Thanks,
	Paul

> Regards,
>
> Andy
>
>
> On 25 Jul 2012, at 15:55, Paul Kyzivat<pkyzivat@alum.mit.edu>  wrote:
>
>> On 7/25/12 10:44 AM, Andy Pepperell wrote:
>>> Hi Paul,
>>>
>>>> I wonder about this. If capture ids are being sent in the media
>>> stream, then won't a separate codec resource be required for VC4 to=20
>>> do that? Or are you assuming that insertion of the capture id is a=20
>>> separate function from the codec?
>>>
>>> I think it's true that there will be a separate distinct ID for VC4=20
>>> as compared to any of the others (this is obviously essential for=20
>>> cases where VC4 is not just a simple copy of VC1, VC2 or VC3). The=20
>>> media-9 requirement that Roni cites in=20
>>> "draft-lennox-clue-rtp-usage-04" covers this case to some degree,=20
>>> and the intent (from that draft) in this scenario is for the=20
>>> provider to use more than one header-extension value within the same =

>>> RTP stream (most notably, the same SSRC) to indicate this=20
>>> equivalence to the consumer (the consumer may or may not be set up =
to be optimised for this case).
>>>
>>> A forthcoming amendment to that RTP usage draft proposes that=20
>>> instead of the capture ID being used within the RTP encoding, it's a =

>>> consumer-chosen ID (for the purposes of this discussion I don't=20
>>> believe it's significant, but this is necessary for simulcast cases, =

>>> and at the last interim meeting there was broad agreement over the=20
>>> usefulness of the ID being chosen by the consumer-side rather than =
the provider).
>>
>> I understand all that. But you didn't answer my question:
>>
>> Does this mean that a switched capture always requires a separate =
encoding resource?
>>
>> I guess you were arguing that the consumer must assume it does.
>>
>>     Thanks,
>>     Paul
>>
>>> Andy
>>>
>>>
>>>
>>> On Wed, Jul 25, 2012 at 3:25 PM, Paul Kyzivat<pkyzivat@alum.mit.edu=20
>>> <mailto:pkyzivat@alum.mit.edu>>  wrote:
>>>
>>>     On 7/25/12 5:12 AM, Roni Even wrote:
>>>
>>>         Hi,
>>>
>>>         I am still trying to understand how the encoding groups and =
Id work.
>>>
>>>         Suppose the advertisement include four media captures.
>>>
>>>         VC1 =E2=80=93 left camera
>>>
>>>         VC2 =E2=80=93 center camera
>>>
>>>         VC3 =E2=80=93 right camera
>>>
>>>         VC4 =E2=80=93 switched
>>>
>>>         The capture scene entries may be
>>>
>>>         (vc1,vc2,vc3,vc4)
>>>
>>>         (vc4)
>>>
>>>         VC4 appears in the both entries but it may have different =
encoding
>>>         constrains in both cases.
>>>
>>>         The encoding constrains have two values that reflect =
different
>>>         resources. One is for network bandwidth and the second is =
for
>>>         the codec
>>>         performance.
>>>
>>>         In the first capture scene entry VC4 does not require any =
additional
>>>         codec resource since it will use one from VC1,2 or 3.
>>>
>>>
>>>     I wonder about this. If capture ids are being sent in the media
>>>     stream, then won't a separate codec resource be required for VC4 =
to
>>>     do that? Or are you assuming that insertion of the capture id is =
a
>>>     separate function from the codec?
>>>
>>>              Thanks,
>>>              Paul
>>>
>>>     _________________________________________________
>>>     clue mailing list
>>>     clue@ietf.org<mailto:clue@ietf.org>
>>>     https://www.ietf.org/mailman/__listinfo/clue
>>>     <https://www.ietf.org/mailman/listinfo/clue>
>>>
>>>
>>
>

_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue


From apeppere@gmail.com  Fri Jul 27 00:40:13 2012
Return-Path: <apeppere@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 4087F21F84C5 for <clue@ietfa.amsl.com>; Fri, 27 Jul 2012 00:40:13 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.32
X-Spam-Level: 
X-Spam-Status: No, score=-3.32 tagged_above=-999 required=5 tests=[AWL=0.278,  BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 1LxZdCRcZk+j for <clue@ietfa.amsl.com>; Fri, 27 Jul 2012 00:40:11 -0700 (PDT)
Received: from mail-vc0-f172.google.com (mail-vc0-f172.google.com [209.85.220.172]) by ietfa.amsl.com (Postfix) with ESMTP id 1F58F21F84B3 for <clue@ietf.org>; Fri, 27 Jul 2012 00:40:10 -0700 (PDT)
Received: by vcbfo14 with SMTP id fo14so2550584vcb.31 for <clue@ietf.org>; Fri, 27 Jul 2012 00:40:10 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=wgMtoKfn+RD8XEObF+TMbBljyf5TDM6Ed901ajmWMfw=; b=vZ2IyYq10zBkWYvDV9HQXsRCp7gke2cEgl/X7tAjFoKfa/TBc9/KuQVtUavSHxaCih ClU1x0N1p5t2uP/EIFloMLBdQ2WAAF6enrLvAsGpvo9sZRQjkUUgpjGZNcXhK385mYdn eS+onBfeiwRWRoIiMy9k7Wmf7NW3eUdTZML/Oq+Mhx0JL2Sxe5GggwE+ukKZ02KqBey3 pv7RGwLKTsLPnkn022uweNyNIGmAOjk6HH9DZECProYchA2Bvx4O74xeGZI2XvGtlyxT aHjHlI6Z9twcX9Ynz/Pl0lzK3PkYgw//FoLqheHuGCAIX9WoJcGWKbR293kQg8NM380w jurQ==
MIME-Version: 1.0
Received: by 10.220.142.79 with SMTP id p15mr1576321vcu.24.1343374810112; Fri, 27 Jul 2012 00:40:10 -0700 (PDT)
Received: by 10.220.36.1 with HTTP; Fri, 27 Jul 2012 00:40:09 -0700 (PDT)
In-Reply-To: <006101cd6bcf$49b4cb40$dd1e61c0$@gmail.com>
References: <004c01cd6a45$9f6115c0$de234140$@gmail.com> <501001E0.30706@alum.mit.edu> <CAA86=sOz5j4gXigRuZ6OiAWGC6H+UGcsstFxdNDyJTtZ2BVMgg@mail.gmail.com> <501008E1.5060006@alum.mit.edu> <796BD0FD-2F14-4A43-B6E8-66D3B8B67A01@gmail.com> <50115816.3090900@alum.mit.edu> <006101cd6bcf$49b4cb40$dd1e61c0$@gmail.com>
Date: Fri, 27 Jul 2012 08:40:09 +0100
Message-ID: <CAA86=sNajeirhZVTEOBzDHbnci1TOCXxi9x1D7+XLTkFYt_esg@mail.gmail.com>
From: Andy Pepperell <apeppere@gmail.com>
To: Roni Even <ron.even.tlv@gmail.com>
Content-Type: multipart/alternative; boundary=f46d042fdb3e5b60e804c5cad213
Cc: clue@ietf.org
Subject: Re: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 27 Jul 2012 07:40:13 -0000

--f46d042fdb3e5b60e804c5cad213
Content-Type: text/plain; charset=windows-1252
Content-Transfer-Encoding: quoted-printable

Hi Roni,

>If VC4 does not require extra decoding resources, it will still require it
when VC4 is advertised as a separate media capture entry.

I'm not sure that which capture scene entry VC4 is part of is a determining
factor here - as currently defined, VC4 shouldn't be in the same capture
scene entry as VC1..3 as it's an alternative to their capture scene entry
rather than being part of it.

>Can I provide a different limit on VC4 depending on which media capture
entry uses it

I'm not sure how best to answer this, as, again, to my mind it wouldn't
depend on which capture scene entry VC4 was to be found in (as it should
always be separate to VC1..VC3) but different limits are supported through
the encoding groups - as it currently stands, the way to do what you're
describing through the framework would be to have VC4 in a different
encoding group.

>This is a general question when a media capture is advertised in more than
one media capture entry but the advertisement would like different
limitation on it.
>I assume the only way is to not have the same media capture in more than
one entry and the text should mention this issue.

I'm not sure that having a media capture in more than one capture scene
entry makes much sense within the framework as it currently stands; to
re-iterate: capture scene entries are alternative representation of the
same capture scene and so having a media capture entry in more than one
capture scene entry would, I think, make it more difficult for a consumer
to be able to make a sensible choice.

It seems to me that what this discussion is about is introducing a new
semantic whereby if you put one or more switched media captures in the same
capture scene entry as one or more non-switched captures then there's an
implication that the switched captures are just copies of the others (and
so don't need separate decoding, and affects how the consumer choices need
to fit in with the encoding [group] limits as declared by the provider).
This is not something covered by the framework at the moment, which
intentionally focusses on the more general cases where a switched version
either isn't a simple copy of one of the non-switched captures (e.g. it's a
separate PTZ camera) or a consumer wants to receive it with different
encoding characteristics (bit rate, resolution etc.). I would go back
(perhaps tediously!) to an earlier comment where if a consumer really wants
to do segment switching and not separately decode the switched capture,
guaranteeing that the switched version is a copy of one of the other
streams, the optimal way to do this would be for it to perform the segment
switching itself. This would also have the advantage of working with
providers which either didn't offer the segment switched capture at all or
did so in a way that would definitely require a separate decode.

Regards,

Andy


On Fri, Jul 27, 2012 at 9:10 AM, Roni Even <ron.even.tlv@gmail.com> wrote:

> Hi,
> There are another questions.
> If VC4 does not require extra decoding resources, it will still require i=
t
> when VC4 is advertised as a separate media capture entry.
> Can I provide a different limit on VC4 depending on which media capture
> entry uses it. This is a general question when a media capture is
> advertised in more than one media capture entry but the advertisement wou=
ld
> like different limitation on it. I assume the only way is to not have the
> same media capture in more than one entry and the text should mention thi=
s
> issue.
> This will mean that in my example you cannot have both as VC4 and in the
> first entry it must be possible to say that there are no limitation on th=
e
> MC in the advertisement to make it clear that no extra resources are need=
ed
> for it when switching between VC1-3.
> Roni
>
> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
> Paul Kyzivat
> Sent: 26 July, 2012 4:46 PM
> To: Andrew Pepperell
> Cc: clue@ietf.org
> Subject: Re: [clue] Question about encoding values
>
> On 7/25/12 1:50 PM, Andrew Pepperell wrote:
> > Hi Paul,
> >
> > Apologies if it seemed like I was evading your question (!). Partly I
> was keen not to give the impression what I was saying was any more than
> just my opinion on this issue...
> >
> > In the general case I believe VC4 in this example has to [permitted to
> be] a separately encoded stream needing a separate decode. This would be
> essential for cases where the switched sub-scene view *wasn't* just one o=
f
> VC1..3, and also for cases where the consumer requires different encoding
> characteristics, e.g. a lower resolution or bit rate.
> >
> > The RTP usage draft from Jonathan and others describes how the same
> actual encoding can be sent by a provider to satisfy multiple consumer
> choices. I maintain, though clearly it's a matter of opinion, that the be=
st
> way for a consumer to guarantee that "VC4" be a shared encode of one of
> VC1..VC3 is for it to receive only those captures and perform the segment
> switching itself (we've talked in various meetings about linking VAD /
> energy detection to provider-side co-ordinates and this would seem to be
> applicable here, as it also addresses cases where the provider would not =
be
> able to supply a separate, additional, VC4 equivalent).
> >
> > You probably think this still doesn't answer your question - I think fo=
r
> some cases it's yes and for some it's no, depending on how the provider i=
s
> providing the switched capture and on how the consumer plans to use it.
> It's definitely the case that ghere's no explicit signalling for a provid=
er
> to say "capture N" is always one of this set of other captures - by way o=
f
> further generalization, it might also be instructive to consider a
> potential additional capture scene entry consisting of VC5..VC8, a 4
> capture representation of the scene. If this too were present, it would n=
ot
> be possible to determine without extra explicit indication from the
> provider whether the switched VC4 was one of the 1..3 set or the 5..8 set=
.
>
> ISTM there are *two* questions hidden here, though they are closely
> related.
>
> One is whether VC4 requires a separate *encoding* resource.
> The 2nd is whether VC4 requires a separate *decoding* resource.
>
> The question of the encoding resource comes down to a decision by the
> receiver about which combinations of captures can be selected. If the
> receiver thinks that a separate encoder is required for VC4, then it may
> conclude that it won't be able to select it with some other captures
> because the advertiser hasn't indicated sufficient encoding resources.
>
>  From the provider's perspective, it may be that it can perform an
> internal optimization and so require less resources than the receiver
> thinks are required. That is nice for the provider, but it also means tha=
t
> some useful configurations aren't usable because they can't be discovered
> by the recipient.
>
> Similarly, the recipient can only select those configurations that it has
> decoders to handle. And once it has assigned decoders, it probably has le=
ss
> opportunity (than the provider) to exploit optimizations that would let i=
t
> use fewer decoders.
>
> Having said all that, I don't know if it implies any changes to the
> mechanisms that have proposed.
>
>         Thanks,
>         Paul
>
> > Regards,
> >
> > Andy
> >
> >
> > On 25 Jul 2012, at 15:55, Paul Kyzivat<pkyzivat@alum.mit.edu>  wrote:
> >
> >> On 7/25/12 10:44 AM, Andy Pepperell wrote:
> >>> Hi Paul,
> >>>
> >>>> I wonder about this. If capture ids are being sent in the media
> >>> stream, then won't a separate codec resource be required for VC4 to
> >>> do that? Or are you assuming that insertion of the capture id is a
> >>> separate function from the codec?
> >>>
> >>> I think it's true that there will be a separate distinct ID for VC4
> >>> as compared to any of the others (this is obviously essential for
> >>> cases where VC4 is not just a simple copy of VC1, VC2 or VC3). The
> >>> media-9 requirement that Roni cites in
> >>> "draft-lennox-clue-rtp-usage-04" covers this case to some degree,
> >>> and the intent (from that draft) in this scenario is for the
> >>> provider to use more than one header-extension value within the same
> >>> RTP stream (most notably, the same SSRC) to indicate this
> >>> equivalence to the consumer (the consumer may or may not be set up to
> be optimised for this case).
> >>>
> >>> A forthcoming amendment to that RTP usage draft proposes that
> >>> instead of the capture ID being used within the RTP encoding, it's a
> >>> consumer-chosen ID (for the purposes of this discussion I don't
> >>> believe it's significant, but this is necessary for simulcast cases,
> >>> and at the last interim meeting there was broad agreement over the
> >>> usefulness of the ID being chosen by the consumer-side rather than th=
e
> provider).
> >>
> >> I understand all that. But you didn't answer my question:
> >>
> >> Does this mean that a switched capture always requires a separate
> encoding resource?
> >>
> >> I guess you were arguing that the consumer must assume it does.
> >>
> >>     Thanks,
> >>     Paul
> >>
> >>> Andy
> >>>
> >>>
> >>>
> >>> On Wed, Jul 25, 2012 at 3:25 PM, Paul Kyzivat<pkyzivat@alum.mit.edu
> >>> <mailto:pkyzivat@alum.mit.edu>>  wrote:
> >>>
> >>>     On 7/25/12 5:12 AM, Roni Even wrote:
> >>>
> >>>         Hi,
> >>>
> >>>         I am still trying to understand how the encoding groups and I=
d
> work.
> >>>
> >>>         Suppose the advertisement include four media captures.
> >>>
> >>>         VC1 =96 left camera
> >>>
> >>>         VC2 =96 center camera
> >>>
> >>>         VC3 =96 right camera
> >>>
> >>>         VC4 =96 switched
> >>>
> >>>         The capture scene entries may be
> >>>
> >>>         (vc1,vc2,vc3,vc4)
> >>>
> >>>         (vc4)
> >>>
> >>>         VC4 appears in the both entries but it may have different
> encoding
> >>>         constrains in both cases.
> >>>
> >>>         The encoding constrains have two values that reflect differen=
t
> >>>         resources. One is for network bandwidth and the second is for
> >>>         the codec
> >>>         performance.
> >>>
> >>>         In the first capture scene entry VC4 does not require any
> additional
> >>>         codec resource since it will use one from VC1,2 or 3.
> >>>
> >>>
> >>>     I wonder about this. If capture ids are being sent in the media
> >>>     stream, then won't a separate codec resource be required for VC4 =
to
> >>>     do that? Or are you assuming that insertion of the capture id is =
a
> >>>     separate function from the codec?
> >>>
> >>>              Thanks,
> >>>              Paul
> >>>
> >>>     _________________________________________________
> >>>     clue mailing list
> >>>     clue@ietf.org<mailto:clue@ietf.org>
> >>>     https://www.ietf.org/mailman/__listinfo/clue
> >>>     <https://www.ietf.org/mailman/listinfo/clue>
> >>>
> >>>
> >>
> >
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>
>

--f46d042fdb3e5b60e804c5cad213
Content-Type: text/html; charset=windows-1252
Content-Transfer-Encoding: quoted-printable

Hi Roni,<div><br></div>&gt;If VC4 does not require extra decoding resources=
, it will still require it when VC4 is advertised as a separate media captu=
re entry.<div><br></div><div>I&#39;m not sure that which capture scene entr=
y VC4 is part of is a determining factor here - as currently defined, VC4 s=
houldn&#39;t be in the same capture scene entry as VC1..3 as it&#39;s an al=
ternative to their capture scene entry rather than being part of it.</div>
<div><br></div><div>&gt;Can I provide a different limit on VC4 depending on=
 which media capture entry uses it
</div><div><br></div><div>I&#39;m not sure how best to answer this, as, aga=
in, to my mind it wouldn&#39;t depend on which capture scene entry VC4 was =
to be found in (as it should always be separate to VC1..VC3) but different =
limits are supported through the encoding groups - as it currently stands, =
the way to do what you&#39;re describing through the framework would be to =
have VC4 in a different encoding group.</div>
<div><br></div><div>&gt;This is a general question when a media capture is =
advertised in more than one media capture entry but the advertisement would=
 like different limitation on it.=A0</div><div>&gt;I assume the only way is=
 to not have the same media capture in more than one entry and the text sho=
uld mention this issue.</div>
<div><br></div><div>I&#39;m not sure that having a media capture in more th=
an one capture scene entry makes much sense within the framework as it curr=
ently stands; to re-iterate: capture scene entries are alternative represen=
tation of the same capture scene and so having a media capture entry in mor=
e than one capture scene entry would, I think, make it more difficult for a=
 consumer to be able to make a sensible choice.</div>
<div><br></div><div>It seems to me that what this discussion is about is in=
troducing a new semantic whereby if you put one or more switched media capt=
ures in the same capture scene entry as one or more non-switched captures t=
hen there&#39;s an implication that the switched captures are just copies o=
f the others (and so don&#39;t need separate decoding, and affects how the =
consumer choices need to fit in with the encoding [group] limits as declare=
d by the provider). This is not something covered by the framework at the m=
oment, which intentionally focusses on the more general cases where a switc=
hed version either isn&#39;t a simple copy of one of the non-switched captu=
res (e.g. it&#39;s a separate PTZ camera) or a consumer wants to receive it=
 with different encoding characteristics (bit rate, resolution etc.). I wou=
ld go back (perhaps tediously!) to an earlier comment where if a consumer r=
eally wants to do segment switching and not separately decode the switched =
capture, guaranteeing that the switched version is a copy of one of the oth=
er streams, the optimal way to do this would be for it to perform the segme=
nt switching itself. This would also have the advantage of working with pro=
viders which either didn&#39;t offer the segment switched capture at all or=
 did so in a way that would definitely require a separate decode.</div>
<div><br></div><div>Regards,</div><div><br><div>Andy</div><div><br><br><div=
 class=3D"gmail_quote">On Fri, Jul 27, 2012 at 9:10 AM, Roni Even <span dir=
=3D"ltr">&lt;<a href=3D"mailto:ron.even.tlv@gmail.com" target=3D"_blank">ro=
n.even.tlv@gmail.com</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">Hi,<br>
There are another questions.<br>
If VC4 does not require extra decoding resources, it will still require it =
when VC4 is advertised as a separate media capture entry.<br>
Can I provide a different limit on VC4 depending on which media capture ent=
ry uses it. This is a general question when a media capture is advertised i=
n more than one media capture entry but the advertisement would like differ=
ent limitation on it. I assume the only way is to not have the same media c=
apture in more than one entry and the text should mention this issue.<br>

This will mean that in my example you cannot have both as VC4 and in the fi=
rst entry it must be possible to say that there are no limitation on the MC=
 in the advertisement to make it clear that no extra resources are needed f=
or it when switching between VC1-3.<br>

<span class=3D"HOEnZb"><font color=3D"#888888">Roni<br>
</font></span><div class=3D"im HOEnZb"><br>
-----Original Message-----<br>
From: <a href=3D"mailto:clue-bounces@ietf.org">clue-bounces@ietf.org</a> [m=
ailto:<a href=3D"mailto:clue-bounces@ietf.org">clue-bounces@ietf.org</a>] O=
n Behalf Of Paul Kyzivat<br>
Sent: 26 July, 2012 4:46 PM<br>
To: Andrew Pepperell<br>
Cc: <a href=3D"mailto:clue@ietf.org">clue@ietf.org</a><br>
Subject: Re: [clue] Question about encoding values<br>
<br>
</div><div class=3D"HOEnZb"><div class=3D"h5">On 7/25/12 1:50 PM, Andrew Pe=
pperell wrote:<br>
&gt; Hi Paul,<br>
&gt;<br>
&gt; Apologies if it seemed like I was evading your question (!). Partly I =
was keen not to give the impression what I was saying was any more than jus=
t my opinion on this issue...<br>
&gt;<br>
&gt; In the general case I believe VC4 in this example has to [permitted to=
 be] a separately encoded stream needing a separate decode. This would be e=
ssential for cases where the switched sub-scene view *wasn&#39;t* just one =
of VC1..3, and also for cases where the consumer requires different encodin=
g characteristics, e.g. a lower resolution or bit rate.<br>

&gt;<br>
&gt; The RTP usage draft from Jonathan and others describes how the same ac=
tual encoding can be sent by a provider to satisfy multiple consumer choice=
s. I maintain, though clearly it&#39;s a matter of opinion, that the best w=
ay for a consumer to guarantee that &quot;VC4&quot; be a shared encode of o=
ne of VC1..VC3 is for it to receive only those captures and perform the seg=
ment switching itself (we&#39;ve talked in various meetings about linking V=
AD / energy detection to provider-side co-ordinates and this would seem to =
be applicable here, as it also addresses cases where the provider would not=
 be able to supply a separate, additional, VC4 equivalent).<br>

&gt;<br>
&gt; You probably think this still doesn&#39;t answer your question - I thi=
nk for some cases it&#39;s yes and for some it&#39;s no, depending on how t=
he provider is providing the switched capture and on how the consumer plans=
 to use it. It&#39;s definitely the case that ghere&#39;s no explicit signa=
lling for a provider to say &quot;capture N&quot; is always one of this set=
 of other captures - by way of further generalization, it might also be ins=
tructive to consider a potential additional capture scene entry consisting =
of VC5..VC8, a 4 capture representation of the scene. If this too were pres=
ent, it would not be possible to determine without extra explicit indicatio=
n from the provider whether the switched VC4 was one of the 1..3 set or the=
 5..8 set.<br>

<br>
ISTM there are *two* questions hidden here, though they are closely related=
.<br>
<br>
One is whether VC4 requires a separate *encoding* resource.<br>
The 2nd is whether VC4 requires a separate *decoding* resource.<br>
<br>
The question of the encoding resource comes down to a decision by the recei=
ver about which combinations of captures can be selected. If the receiver t=
hinks that a separate encoder is required for VC4, then it may conclude tha=
t it won&#39;t be able to select it with some other captures because the ad=
vertiser hasn&#39;t indicated sufficient encoding resources.<br>

<br>
=A0From the provider&#39;s perspective, it may be that it can perform an in=
ternal optimization and so require less resources than the receiver thinks =
are required. That is nice for the provider, but it also means that some us=
eful configurations aren&#39;t usable because they can&#39;t be discovered =
by the recipient.<br>

<br>
Similarly, the recipient can only select those configurations that it has d=
ecoders to handle. And once it has assigned decoders, it probably has less =
opportunity (than the provider) to exploit optimizations that would let it =
use fewer decoders.<br>

<br>
Having said all that, I don&#39;t know if it implies any changes to the mec=
hanisms that have proposed.<br>
<br>
=A0 =A0 =A0 =A0 Thanks,<br>
=A0 =A0 =A0 =A0 Paul<br>
<br>
&gt; Regards,<br>
&gt;<br>
&gt; Andy<br>
&gt;<br>
&gt;<br>
&gt; On 25 Jul 2012, at 15:55, Paul Kyzivat&lt;<a href=3D"mailto:pkyzivat@a=
lum.mit.edu">pkyzivat@alum.mit.edu</a>&gt; =A0wrote:<br>
&gt;<br>
&gt;&gt; On 7/25/12 10:44 AM, Andy Pepperell wrote:<br>
&gt;&gt;&gt; Hi Paul,<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt;&gt; I wonder about this. If capture ids are being sent in the =
media<br>
&gt;&gt;&gt; stream, then won&#39;t a separate codec resource be required f=
or VC4 to<br>
&gt;&gt;&gt; do that? Or are you assuming that insertion of the capture id =
is a<br>
&gt;&gt;&gt; separate function from the codec?<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; I think it&#39;s true that there will be a separate distinct I=
D for VC4<br>
&gt;&gt;&gt; as compared to any of the others (this is obviously essential =
for<br>
&gt;&gt;&gt; cases where VC4 is not just a simple copy of VC1, VC2 or VC3).=
 The<br>
&gt;&gt;&gt; media-9 requirement that Roni cites in<br>
&gt;&gt;&gt; &quot;draft-lennox-clue-rtp-usage-04&quot; covers this case to=
 some degree,<br>
&gt;&gt;&gt; and the intent (from that draft) in this scenario is for the<b=
r>
&gt;&gt;&gt; provider to use more than one header-extension value within th=
e same<br>
&gt;&gt;&gt; RTP stream (most notably, the same SSRC) to indicate this<br>
&gt;&gt;&gt; equivalence to the consumer (the consumer may or may not be se=
t up to be optimised for this case).<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; A forthcoming amendment to that RTP usage draft proposes that<=
br>
&gt;&gt;&gt; instead of the capture ID being used within the RTP encoding, =
it&#39;s a<br>
&gt;&gt;&gt; consumer-chosen ID (for the purposes of this discussion I don&=
#39;t<br>
&gt;&gt;&gt; believe it&#39;s significant, but this is necessary for simulc=
ast cases,<br>
&gt;&gt;&gt; and at the last interim meeting there was broad agreement over=
 the<br>
&gt;&gt;&gt; usefulness of the ID being chosen by the consumer-side rather =
than the provider).<br>
&gt;&gt;<br>
&gt;&gt; I understand all that. But you didn&#39;t answer my question:<br>
&gt;&gt;<br>
&gt;&gt; Does this mean that a switched capture always requires a separate =
encoding resource?<br>
&gt;&gt;<br>
&gt;&gt; I guess you were arguing that the consumer must assume it does.<br=
>
&gt;&gt;<br>
&gt;&gt; =A0 =A0 Thanks,<br>
&gt;&gt; =A0 =A0 Paul<br>
&gt;&gt;<br>
&gt;&gt;&gt; Andy<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; On Wed, Jul 25, 2012 at 3:25 PM, Paul Kyzivat&lt;<a href=3D"ma=
ilto:pkyzivat@alum.mit.edu">pkyzivat@alum.mit.edu</a><br>
&gt;&gt;&gt; &lt;mailto:<a href=3D"mailto:pkyzivat@alum.mit.edu">pkyzivat@a=
lum.mit.edu</a>&gt;&gt; =A0wrote:<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 On 7/25/12 5:12 AM, Roni Even wrote:<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 Hi,<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 I am still trying to understand how the encodi=
ng groups and Id work.<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 Suppose the advertisement include four media c=
aptures.<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 VC1 =96 left camera<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 VC2 =96 center camera<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 VC3 =96 right camera<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 VC4 =96 switched<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 The capture scene entries may be<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 (vc1,vc2,vc3,vc4)<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 (vc4)<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 VC4 appears in the both entries but it may hav=
e different encoding<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 constrains in both cases.<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 The encoding constrains have two values that r=
eflect different<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 resources. One is for network bandwidth and th=
e second is for<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 the codec<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 performance.<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 In the first capture scene entry VC4 does not =
require any additional<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 codec resource since it will use one from VC1,=
2 or 3.<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 I wonder about this. If capture ids are being sent in =
the media<br>
&gt;&gt;&gt; =A0 =A0 stream, then won&#39;t a separate codec resource be re=
quired for VC4 to<br>
&gt;&gt;&gt; =A0 =A0 do that? Or are you assuming that insertion of the cap=
ture id is a<br>
&gt;&gt;&gt; =A0 =A0 separate function from the codec?<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 =A0 =A0 =A0Thanks,<br>
&gt;&gt;&gt; =A0 =A0 =A0 =A0 =A0 =A0 =A0Paul<br>
&gt;&gt;&gt;<br>
&gt;&gt;&gt; =A0 =A0 _________________________________________________<br>
&gt;&gt;&gt; =A0 =A0 clue mailing list<br>
&gt;&gt;&gt; =A0 =A0 <a href=3D"mailto:clue@ietf.org">clue@ietf.org</a>&lt;=
mailto:<a href=3D"mailto:clue@ietf.org">clue@ietf.org</a>&gt;<br>
&gt;&gt;&gt; =A0 =A0 <a href=3D"https://www.ietf.org/mailman/__listinfo/clu=
e" target=3D"_blank">https://www.ietf.org/mailman/__listinfo/clue</a><br>
&gt;&gt;&gt; =A0 =A0 &lt;<a href=3D"https://www.ietf.org/mailman/listinfo/c=
lue" target=3D"_blank">https://www.ietf.org/mailman/listinfo/clue</a>&gt;<b=
r>
&gt;&gt;&gt;<br>
&gt;&gt;&gt;<br>
&gt;&gt;<br>
&gt;<br>
<br>
</div></div><div class=3D"HOEnZb"><div class=3D"h5">_______________________=
________________________<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/listinfo/clue</a><br>
<br>
</div></div></blockquote></div><br></div></div>

--f46d042fdb3e5b60e804c5cad213--

From ron.even.tlv@gmail.com  Fri Jul 27 01:21:46 2012
Return-Path: <ron.even.tlv@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 832E121F8616 for <clue@ietfa.amsl.com>; Fri, 27 Jul 2012 01:21:46 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.599
X-Spam-Level: 
X-Spam-Status: No, score=-3.599 tagged_above=-999 required=5 tests=[AWL=-0.001, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id tIfRZbuy5YYX for <clue@ietfa.amsl.com>; Fri, 27 Jul 2012 01:21:37 -0700 (PDT)
Received: from mail-pb0-f44.google.com (mail-pb0-f44.google.com [209.85.160.44]) by ietfa.amsl.com (Postfix) with ESMTP id 5B03A21F8618 for <clue@ietf.org>; Fri, 27 Jul 2012 01:21:37 -0700 (PDT)
Received: by pbcwy7 with SMTP id wy7so4714804pbc.31 for <clue@ietf.org>; Fri, 27 Jul 2012 01:21:32 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=from:to:cc:references:in-reply-to:subject:date:message-id :mime-version:content-type:x-mailer:thread-index:content-language; bh=vDZE7ANewyaNuMJn46k/UGVNDt5gqU/rHY1XfwhUc+A=; b=lwdEDg1Ic2bNzC6MTvvItlZIEtVpRU/NkfAmovYvPOxRz6iVdWuduYeGPMBG8Ad5n0 XIQ1qMAC3y/BUL/lNr+tSSv0DZiPGxLhkC8EYdOuAMkoOWkD0FaBb2+/jIcPWA+NUkPX oka9rusw2nJfGzfNNjfdC24Zgah3v5wpWpWQP3Tnq/i6w3Ro0XJkdhYM8ssvOihMjCDF Ud8mGMfVrPy5/IgLUwlvvrrA18Ox/iCyQ7ygkNBPlTrzEqwt25xGYJ6qaFm0mWjJaK9I n7G5MQhrXb1ReoH0ZBRK3c9mpwRC5vZ1N/A31Llqqjq4QV0BKe5Ex+Z4O346nJyOjwq7 JvIA==
Received: by 10.68.194.6 with SMTP id hs6mr11962602pbc.133.1343377292356; Fri, 27 Jul 2012 01:21:32 -0700 (PDT)
Received: from RoniE ([206.191.100.2]) by mx.google.com with ESMTPS id ng8sm1471898pbc.13.2012.07.27.01.21.30 (version=TLSv1/SSLv3 cipher=OTHER); Fri, 27 Jul 2012 01:21:31 -0700 (PDT)
From: "Roni Even" <ron.even.tlv@gmail.com>
To: "'Andy Pepperell'" <apeppere@gmail.com>
References: <004c01cd6a45$9f6115c0$de234140$@gmail.com>	<501001E0.30706@alum.mit.edu>	<CAA86=sOz5j4gXigRuZ6OiAWGC6H+UGcsstFxdNDyJTtZ2BVMgg@mail.gmail.com>	<501008E1.5060006@alum.mit.edu>	<796BD0FD-2F14-4A43-B6E8-66D3B8B67A01@gmail.com>	<50115816.3090900@alum.mit.edu>	<006101cd6bcf$49b4cb40$dd1e61c0$@gmail.com> <CAA86=sNajeirhZVTEOBzDHbnci1TOCXxi9x1D7+XLTkFYt_esg@mail.gmail.com>
In-Reply-To: <CAA86=sNajeirhZVTEOBzDHbnci1TOCXxi9x1D7+XLTkFYt_esg@mail.gmail.com>
Date: Fri, 27 Jul 2012 11:20:27 +0200
Message-ID: <006e01cd6bd9$10768350$316389f0$@gmail.com>
MIME-Version: 1.0
Content-Type: multipart/alternative; boundary="----=_NextPart_000_006F_01CD6BE9.D4021270"
X-Mailer: Microsoft Outlook 14.0
thread-index: AQKDrwqZuRpiwxPSzxtTrSp1seZOhgKah+AoAkoTl/wBepiY0wMeSt3DAlXi89ECSP/IewJzze63lUvQqjA=
Content-Language: en-us
Cc: clue@ietf.org
Subject: Re: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 27 Jul 2012 08:21:46 -0000

This is a multipart message in MIME format.

------=_NextPart_000_006F_01CD6BE9.D4021270
Content-Type: text/plain;
	charset="us-ascii"
Content-Transfer-Encoding: 7bit

Andy,

The problem is that the framework does not prohibit having a MC in two
capture scene entries.

 

Example of use case that may make more sense is when VC2 is center camera

 

(VC1, VC2, VC3) - to a three monitor

(VC4 (switched between VC1 and VC3), VC2) - to two monitor.

 

Again in this case the encoding capabilities between the first and second
entry for VC2 may be different and we cannot show it in the framework using
encoding groups  unless you have a different MC for the center camera for
each capture scene entry. The encoding group as is will provide the same
maximum for both.

I think that we need to clarify this point in the framework.

 

Roni

 

 

From: Andy Pepperell [mailto:apeppere@gmail.com] 
Sent: 27 July, 2012 9:40 AM
To: Roni Even
Cc: Paul Kyzivat; clue@ietf.org
Subject: Re: [clue] Question about encoding values

 

Hi Roni,

 

>If VC4 does not require extra decoding resources, it will still require it
when VC4 is advertised as a separate media capture entry.

 

I'm not sure that which capture scene entry VC4 is part of is a determining
factor here - as currently defined, VC4 shouldn't be in the same capture
scene entry as VC1..3 as it's an alternative to their capture scene entry
rather than being part of it.

 

>Can I provide a different limit on VC4 depending on which media capture
entry uses it 

 

I'm not sure how best to answer this, as, again, to my mind it wouldn't
depend on which capture scene entry VC4 was to be found in (as it should
always be separate to VC1..VC3) but different limits are supported through
the encoding groups - as it currently stands, the way to do what you're
describing through the framework would be to have VC4 in a different
encoding group.

 

>This is a general question when a media capture is advertised in more than
one media capture entry but the advertisement would like different
limitation on it. 

>I assume the only way is to not have the same media capture in more than
one entry and the text should mention this issue.

 

I'm not sure that having a media capture in more than one capture scene
entry makes much sense within the framework as it currently stands; to
re-iterate: capture scene entries are alternative representation of the same
capture scene and so having a media capture entry in more than one capture
scene entry would, I think, make it more difficult for a consumer to be able
to make a sensible choice.

 

It seems to me that what this discussion is about is introducing a new
semantic whereby if you put one or more switched media captures in the same
capture scene entry as one or more non-switched captures then there's an
implication that the switched captures are just copies of the others (and so
don't need separate decoding, and affects how the consumer choices need to
fit in with the encoding [group] limits as declared by the provider). This
is not something covered by the framework at the moment, which intentionally
focusses on the more general cases where a switched version either isn't a
simple copy of one of the non-switched captures (e.g. it's a separate PTZ
camera) or a consumer wants to receive it with different encoding
characteristics (bit rate, resolution etc.). I would go back (perhaps
tediously!) to an earlier comment where if a consumer really wants to do
segment switching and not separately decode the switched capture,
guaranteeing that the switched version is a copy of one of the other
streams, the optimal way to do this would be for it to perform the segment
switching itself. This would also have the advantage of working with
providers which either didn't offer the segment switched capture at all or
did so in a way that would definitely require a separate decode.

 

Regards,

 

Andy

 

On Fri, Jul 27, 2012 at 9:10 AM, Roni Even <ron.even.tlv@gmail.com> wrote:

Hi,
There are another questions.
If VC4 does not require extra decoding resources, it will still require it
when VC4 is advertised as a separate media capture entry.
Can I provide a different limit on VC4 depending on which media capture
entry uses it. This is a general question when a media capture is advertised
in more than one media capture entry but the advertisement would like
different limitation on it. I assume the only way is to not have the same
media capture in more than one entry and the text should mention this issue.
This will mean that in my example you cannot have both as VC4 and in the
first entry it must be possible to say that there are no limitation on the
MC in the advertisement to make it clear that no extra resources are needed
for it when switching between VC1-3.
Roni


-----Original Message-----
From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Paul
Kyzivat
Sent: 26 July, 2012 4:46 PM
To: Andrew Pepperell
Cc: clue@ietf.org
Subject: Re: [clue] Question about encoding values

On 7/25/12 1:50 PM, Andrew Pepperell wrote:
> Hi Paul,
>
> Apologies if it seemed like I was evading your question (!). Partly I was
keen not to give the impression what I was saying was any more than just my
opinion on this issue...
>
> In the general case I believe VC4 in this example has to [permitted to be]
a separately encoded stream needing a separate decode. This would be
essential for cases where the switched sub-scene view *wasn't* just one of
VC1..3, and also for cases where the consumer requires different encoding
characteristics, e.g. a lower resolution or bit rate.
>
> The RTP usage draft from Jonathan and others describes how the same actual
encoding can be sent by a provider to satisfy multiple consumer choices. I
maintain, though clearly it's a matter of opinion, that the best way for a
consumer to guarantee that "VC4" be a shared encode of one of VC1..VC3 is
for it to receive only those captures and perform the segment switching
itself (we've talked in various meetings about linking VAD / energy
detection to provider-side co-ordinates and this would seem to be applicable
here, as it also addresses cases where the provider would not be able to
supply a separate, additional, VC4 equivalent).
>
> You probably think this still doesn't answer your question - I think for
some cases it's yes and for some it's no, depending on how the provider is
providing the switched capture and on how the consumer plans to use it. It's
definitely the case that ghere's no explicit signalling for a provider to
say "capture N" is always one of this set of other captures - by way of
further generalization, it might also be instructive to consider a potential
additional capture scene entry consisting of VC5..VC8, a 4 capture
representation of the scene. If this too were present, it would not be
possible to determine without extra explicit indication from the provider
whether the switched VC4 was one of the 1..3 set or the 5..8 set.

ISTM there are *two* questions hidden here, though they are closely related.

One is whether VC4 requires a separate *encoding* resource.
The 2nd is whether VC4 requires a separate *decoding* resource.

The question of the encoding resource comes down to a decision by the
receiver about which combinations of captures can be selected. If the
receiver thinks that a separate encoder is required for VC4, then it may
conclude that it won't be able to select it with some other captures because
the advertiser hasn't indicated sufficient encoding resources.

 From the provider's perspective, it may be that it can perform an internal
optimization and so require less resources than the receiver thinks are
required. That is nice for the provider, but it also means that some useful
configurations aren't usable because they can't be discovered by the
recipient.

Similarly, the recipient can only select those configurations that it has
decoders to handle. And once it has assigned decoders, it probably has less
opportunity (than the provider) to exploit optimizations that would let it
use fewer decoders.

Having said all that, I don't know if it implies any changes to the
mechanisms that have proposed.

        Thanks,
        Paul

> Regards,
>
> Andy
>
>
> On 25 Jul 2012, at 15:55, Paul Kyzivat<pkyzivat@alum.mit.edu>  wrote:
>
>> On 7/25/12 10:44 AM, Andy Pepperell wrote:
>>> Hi Paul,
>>>
>>>> I wonder about this. If capture ids are being sent in the media
>>> stream, then won't a separate codec resource be required for VC4 to
>>> do that? Or are you assuming that insertion of the capture id is a
>>> separate function from the codec?
>>>
>>> I think it's true that there will be a separate distinct ID for VC4
>>> as compared to any of the others (this is obviously essential for
>>> cases where VC4 is not just a simple copy of VC1, VC2 or VC3). The
>>> media-9 requirement that Roni cites in
>>> "draft-lennox-clue-rtp-usage-04" covers this case to some degree,
>>> and the intent (from that draft) in this scenario is for the
>>> provider to use more than one header-extension value within the same
>>> RTP stream (most notably, the same SSRC) to indicate this
>>> equivalence to the consumer (the consumer may or may not be set up to be
optimised for this case).
>>>
>>> A forthcoming amendment to that RTP usage draft proposes that
>>> instead of the capture ID being used within the RTP encoding, it's a
>>> consumer-chosen ID (for the purposes of this discussion I don't
>>> believe it's significant, but this is necessary for simulcast cases,
>>> and at the last interim meeting there was broad agreement over the
>>> usefulness of the ID being chosen by the consumer-side rather than the
provider).
>>
>> I understand all that. But you didn't answer my question:
>>
>> Does this mean that a switched capture always requires a separate
encoding resource?
>>
>> I guess you were arguing that the consumer must assume it does.
>>
>>     Thanks,
>>     Paul
>>
>>> Andy
>>>
>>>
>>>
>>> On Wed, Jul 25, 2012 at 3:25 PM, Paul Kyzivat<pkyzivat@alum.mit.edu
>>> <mailto:pkyzivat@alum.mit.edu>>  wrote:
>>>
>>>     On 7/25/12 5:12 AM, Roni Even wrote:
>>>
>>>         Hi,
>>>
>>>         I am still trying to understand how the encoding groups and Id
work.
>>>
>>>         Suppose the advertisement include four media captures.
>>>
>>>         VC1 - left camera
>>>
>>>         VC2 - center camera
>>>
>>>         VC3 - right camera
>>>
>>>         VC4 - switched
>>>
>>>         The capture scene entries may be
>>>
>>>         (vc1,vc2,vc3,vc4)
>>>
>>>         (vc4)
>>>
>>>         VC4 appears in the both entries but it may have different
encoding
>>>         constrains in both cases.
>>>
>>>         The encoding constrains have two values that reflect different
>>>         resources. One is for network bandwidth and the second is for
>>>         the codec
>>>         performance.
>>>
>>>         In the first capture scene entry VC4 does not require any
additional
>>>         codec resource since it will use one from VC1,2 or 3.
>>>
>>>
>>>     I wonder about this. If capture ids are being sent in the media
>>>     stream, then won't a separate codec resource be required for VC4 to
>>>     do that? Or are you assuming that insertion of the capture id is a
>>>     separate function from the codec?
>>>
>>>              Thanks,
>>>              Paul
>>>
>>>     _________________________________________________
>>>     clue mailing list
>>>     clue@ietf.org<mailto:clue@ietf.org>
>>>     https://www.ietf.org/mailman/__listinfo/clue
>>>     <https://www.ietf.org/mailman/listinfo/clue>
>>>
>>>
>>
>

_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

 


------=_NextPart_000_006F_01CD6BE9.D4021270
Content-Type: text/html;
	charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" =
xmlns:o=3D"urn:schemas-microsoft-com:office:office" =
xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" =
xmlns=3D"http://www.w3.org/TR/REC-html40"><head><META =
HTTP-EQUIV=3D"Content-Type" CONTENT=3D"text/html; =
charset=3Dus-ascii"><meta name=3DGenerator content=3D"Microsoft Word 14 =
(filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
p.MsoAcetate, li.MsoAcetate, div.MsoAcetate
	{mso-style-priority:99;
	mso-style-link:"Balloon Text Char";
	margin:0in;
	margin-bottom:.0001pt;
	font-size:8.0pt;
	font-family:"Tahoma","sans-serif";}
span.hoenzb
	{mso-style-name:hoenzb;}
span.BalloonTextChar
	{mso-style-name:"Balloon Text Char";
	mso-style-priority:99;
	mso-style-link:"Balloon Text";
	font-family:"Tahoma","sans-serif";}
span.EmailStyle20
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.25in 1.0in 1.25in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue =
vlink=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Andy,<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>The problem is that the framework does not prohibit having a MC in =
two capture scene entries.<o:p></o:p></span></p><p =
class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Example of use case that may make more sense is when VC2 is center =
camera<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>(VC1, VC2, VC3) &#8211; to a three monitor<o:p></o:p></span></p><p =
class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>(VC4 (switched between VC1 and VC3), VC2) &#8211; to two =
monitor.<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Again in this case the encoding capabilities between the first and =
second entry for VC2 may be different and we cannot show it in the =
framework using encoding groups &nbsp;unless you have a different MC for =
the center camera for each capture scene entry. The encoding group as is =
will provide the same maximum for both.<o:p></o:p></span></p><p =
class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>I think that we need to clarify this point in the =
framework.<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Roni<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span>=
</b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
Andy Pepperell [mailto:apeppere@gmail.com] <br><b>Sent:</b> 27 July, =
2012 9:40 AM<br><b>To:</b> Roni Even<br><b>Cc:</b> Paul Kyzivat; =
clue@ietf.org<br><b>Subject:</b> Re: [clue] Question about encoding =
values<o:p></o:p></span></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p =
class=3DMsoNormal>Hi Roni,<o:p></o:p></p><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><p class=3DMsoNormal>&gt;If =
VC4 does not require extra decoding resources, it will still require it =
when VC4 is advertised as a separate media capture =
entry.<o:p></o:p></p><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>I'm not sure that which capture scene entry VC4 is =
part of is a determining factor here - as currently defined, VC4 =
shouldn't be in the same capture scene entry as VC1..3 as it's an =
alternative to their capture scene entry rather than being part of =
it.<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>&gt;Can I provide a different limit on VC4 depending =
on which media capture entry uses it <o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>I'm not sure how best to answer this, as, again, to my =
mind it wouldn't depend on which capture scene entry VC4 was to be found =
in (as it should always be separate to VC1..VC3) but different limits =
are supported through the encoding groups - as it currently stands, the =
way to do what you're describing through the framework would be to have =
VC4 in a different encoding group.<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>&gt;This is a general question when a media capture is =
advertised in more than one media capture entry but the advertisement =
would like different limitation on it.&nbsp;<o:p></o:p></p></div><div><p =
class=3DMsoNormal>&gt;I assume the only way is to not have the same =
media capture in more than one entry and the text should mention this =
issue.<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>I'm not sure that having a media capture in more than =
one capture scene entry makes much sense within the framework as it =
currently stands; to re-iterate: capture scene entries are alternative =
representation of the same capture scene and so having a media capture =
entry in more than one capture scene entry would, I think, make it more =
difficult for a consumer to be able to make a sensible =
choice.<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>It seems to me that what this discussion is about is =
introducing a new semantic whereby if you put one or more switched media =
captures in the same capture scene entry as one or more non-switched =
captures then there's an implication that the switched captures are just =
copies of the others (and so don't need separate decoding, and affects =
how the consumer choices need to fit in with the encoding [group] limits =
as declared by the provider). This is not something covered by the =
framework at the moment, which intentionally focusses on the more =
general cases where a switched version either isn't a simple copy of one =
of the non-switched captures (e.g. it's a separate PTZ camera) or a =
consumer wants to receive it with different encoding characteristics =
(bit rate, resolution etc.). I would go back (perhaps tediously!) to an =
earlier comment where if a consumer really wants to do segment switching =
and not separately decode the switched capture, guaranteeing that the =
switched version is a copy of one of the other streams, the optimal way =
to do this would be for it to perform the segment switching itself. This =
would also have the advantage of working with providers which either =
didn't offer the segment switched capture at all or did so in a way that =
would definitely require a separate decode.<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div><div><p =
class=3DMsoNormal>Regards,<o:p></o:p></p></div><div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><div><p =
class=3DMsoNormal>Andy<o:p></o:p></p></div><div><p class=3DMsoNormal =
style=3D'margin-bottom:12.0pt'><o:p>&nbsp;</o:p></p><div><p =
class=3DMsoNormal>On Fri, Jul 27, 2012 at 9:10 AM, Roni Even &lt;<a =
href=3D"mailto:ron.even.tlv@gmail.com" =
target=3D"_blank">ron.even.tlv@gmail.com</a>&gt; wrote:<o:p></o:p></p><p =
class=3DMsoNormal>Hi,<br>There are another questions.<br>If VC4 does not =
require extra decoding resources, it will still require it when VC4 is =
advertised as a separate media capture entry.<br>Can I provide a =
different limit on VC4 depending on which media capture entry uses it. =
This is a general question when a media capture is advertised in more =
than one media capture entry but the advertisement would like different =
limitation on it. I assume the only way is to not have the same media =
capture in more than one entry and the text should mention this =
issue.<br>This will mean that in my example you cannot have both as VC4 =
and in the first entry it must be possible to say that there are no =
limitation on the MC in the advertisement to make it clear that no extra =
resources are needed for it when switching between VC1-3.<br><span =
class=3Dhoenzb><span =
style=3D'color:#888888'>Roni</span></span><o:p></o:p></p><div><p =
class=3DMsoNormal style=3D'margin-bottom:12.0pt'><br>-----Original =
Message-----<br>From: <a =
href=3D"mailto:clue-bounces@ietf.org">clue-bounces@ietf.org</a> =
[mailto:<a =
href=3D"mailto:clue-bounces@ietf.org">clue-bounces@ietf.org</a>] On =
Behalf Of Paul Kyzivat<br>Sent: 26 July, 2012 4:46 PM<br>To: Andrew =
Pepperell<br>Cc: <a =
href=3D"mailto:clue@ietf.org">clue@ietf.org</a><br>Subject: Re: [clue] =
Question about encoding values<o:p></o:p></p></div><div><div><p =
class=3DMsoNormal style=3D'margin-bottom:12.0pt'>On 7/25/12 1:50 PM, =
Andrew Pepperell wrote:<br>&gt; Hi Paul,<br>&gt;<br>&gt; Apologies if it =
seemed like I was evading your question (!). Partly I was keen not to =
give the impression what I was saying was any more than just my opinion =
on this issue...<br>&gt;<br>&gt; In the general case I believe VC4 in =
this example has to [permitted to be] a separately encoded stream =
needing a separate decode. This would be essential for cases where the =
switched sub-scene view *wasn't* just one of VC1..3, and also for cases =
where the consumer requires different encoding characteristics, e.g. a =
lower resolution or bit rate.<br>&gt;<br>&gt; The RTP usage draft from =
Jonathan and others describes how the same actual encoding can be sent =
by a provider to satisfy multiple consumer choices. I maintain, though =
clearly it's a matter of opinion, that the best way for a consumer to =
guarantee that &quot;VC4&quot; be a shared encode of one of VC1..VC3 is =
for it to receive only those captures and perform the segment switching =
itself (we've talked in various meetings about linking VAD / energy =
detection to provider-side co-ordinates and this would seem to be =
applicable here, as it also addresses cases where the provider would not =
be able to supply a separate, additional, VC4 =
equivalent).<br>&gt;<br>&gt; You probably think this still doesn't =
answer your question - I think for some cases it's yes and for some it's =
no, depending on how the provider is providing the switched capture and =
on how the consumer plans to use it. It's definitely the case that =
ghere's no explicit signalling for a provider to say &quot;capture =
N&quot; is always one of this set of other captures - by way of further =
generalization, it might also be instructive to consider a potential =
additional capture scene entry consisting of VC5..VC8, a 4 capture =
representation of the scene. If this too were present, it would not be =
possible to determine without extra explicit indication from the =
provider whether the switched VC4 was one of the 1..3 set or the 5..8 =
set.<br><br>ISTM there are *two* questions hidden here, though they are =
closely related.<br><br>One is whether VC4 requires a separate =
*encoding* resource.<br>The 2nd is whether VC4 requires a separate =
*decoding* resource.<br><br>The question of the encoding resource comes =
down to a decision by the receiver about which combinations of captures =
can be selected. If the receiver thinks that a separate encoder is =
required for VC4, then it may conclude that it won't be able to select =
it with some other captures because the advertiser hasn't indicated =
sufficient encoding resources.<br><br>&nbsp;From the provider's =
perspective, it may be that it can perform an internal optimization and =
so require less resources than the receiver thinks are required. That is =
nice for the provider, but it also means that some useful configurations =
aren't usable because they can't be discovered by the =
recipient.<br><br>Similarly, the recipient can only select those =
configurations that it has decoders to handle. And once it has assigned =
decoders, it probably has less opportunity (than the provider) to =
exploit optimizations that would let it use fewer =
decoders.<br><br>Having said all that, I don't know if it implies any =
changes to the mechanisms that have proposed.<br><br>&nbsp; &nbsp; =
&nbsp; &nbsp; Thanks,<br>&nbsp; &nbsp; &nbsp; &nbsp; Paul<br><br>&gt; =
Regards,<br>&gt;<br>&gt; Andy<br>&gt;<br>&gt;<br>&gt; On 25 Jul 2012, at =
15:55, Paul Kyzivat&lt;<a =
href=3D"mailto:pkyzivat@alum.mit.edu">pkyzivat@alum.mit.edu</a>&gt; =
&nbsp;wrote:<br>&gt;<br>&gt;&gt; On 7/25/12 10:44 AM, Andy Pepperell =
wrote:<br>&gt;&gt;&gt; Hi Paul,<br>&gt;&gt;&gt;<br>&gt;&gt;&gt;&gt; I =
wonder about this. If capture ids are being sent in the =
media<br>&gt;&gt;&gt; stream, then won't a separate codec resource be =
required for VC4 to<br>&gt;&gt;&gt; do that? Or are you assuming that =
insertion of the capture id is a<br>&gt;&gt;&gt; separate function from =
the codec?<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; I think it's true that there =
will be a separate distinct ID for VC4<br>&gt;&gt;&gt; as compared to =
any of the others (this is obviously essential for<br>&gt;&gt;&gt; cases =
where VC4 is not just a simple copy of VC1, VC2 or VC3). =
The<br>&gt;&gt;&gt; media-9 requirement that Roni cites =
in<br>&gt;&gt;&gt; &quot;draft-lennox-clue-rtp-usage-04&quot; covers =
this case to some degree,<br>&gt;&gt;&gt; and the intent (from that =
draft) in this scenario is for the<br>&gt;&gt;&gt; provider to use more =
than one header-extension value within the same<br>&gt;&gt;&gt; RTP =
stream (most notably, the same SSRC) to indicate this<br>&gt;&gt;&gt; =
equivalence to the consumer (the consumer may or may not be set up to be =
optimised for this case).<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; A forthcoming =
amendment to that RTP usage draft proposes that<br>&gt;&gt;&gt; instead =
of the capture ID being used within the RTP encoding, it's =
a<br>&gt;&gt;&gt; consumer-chosen ID (for the purposes of this =
discussion I don't<br>&gt;&gt;&gt; believe it's significant, but this is =
necessary for simulcast cases,<br>&gt;&gt;&gt; and at the last interim =
meeting there was broad agreement over the<br>&gt;&gt;&gt; usefulness of =
the ID being chosen by the consumer-side rather than the =
provider).<br>&gt;&gt;<br>&gt;&gt; I understand all that. But you didn't =
answer my question:<br>&gt;&gt;<br>&gt;&gt; Does this mean that a =
switched capture always requires a separate encoding =
resource?<br>&gt;&gt;<br>&gt;&gt; I guess you were arguing that the =
consumer must assume it does.<br>&gt;&gt;<br>&gt;&gt; &nbsp; &nbsp; =
Thanks,<br>&gt;&gt; &nbsp; &nbsp; Paul<br>&gt;&gt;<br>&gt;&gt;&gt; =
Andy<br>&gt;&gt;&gt;<br>&gt;&gt;&gt;<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; On =
Wed, Jul 25, 2012 at 3:25 PM, Paul Kyzivat&lt;<a =
href=3D"mailto:pkyzivat@alum.mit.edu">pkyzivat@alum.mit.edu</a><br>&gt;&g=
t;&gt; &lt;mailto:<a =
href=3D"mailto:pkyzivat@alum.mit.edu">pkyzivat@alum.mit.edu</a>&gt;&gt; =
&nbsp;wrote:<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; On 7/25/12 =
5:12 AM, Roni Even wrote:<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; =
&nbsp; &nbsp; Hi,<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; =
&nbsp; I am still trying to understand how the encoding groups and Id =
work.<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; &nbsp; =
Suppose the advertisement include four media =
captures.<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; &nbsp; =
VC1 &#8211; left camera<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; =
&nbsp; &nbsp; VC2 &#8211; center camera<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; =
&nbsp; &nbsp; &nbsp; &nbsp; VC3 &#8211; right =
camera<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; &nbsp; VC4 =
&#8211; switched<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; =
&nbsp; The capture scene entries may be<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; =
&nbsp; &nbsp; &nbsp; &nbsp; =
(vc1,vc2,vc3,vc4)<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; =
&nbsp; (vc4)<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; &nbsp; =
VC4 appears in the both entries but it may have different =
encoding<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; &nbsp; constrains in both =
cases.<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; &nbsp; The =
encoding constrains have two values that reflect =
different<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; &nbsp; resources. One is =
for network bandwidth and the second is for<br>&gt;&gt;&gt; &nbsp; =
&nbsp; &nbsp; &nbsp; the codec<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; =
&nbsp; performance.<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; =
&nbsp; In the first capture scene entry VC4 does not require any =
additional<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; &nbsp; codec resource =
since it will use one from VC1,2 or =
3.<br>&gt;&gt;&gt;<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; I =
wonder about this. If capture ids are being sent in the =
media<br>&gt;&gt;&gt; &nbsp; &nbsp; stream, then won't a separate codec =
resource be required for VC4 to<br>&gt;&gt;&gt; &nbsp; &nbsp; do that? =
Or are you assuming that insertion of the capture id is =
a<br>&gt;&gt;&gt; &nbsp; &nbsp; separate function from the =
codec?<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; &nbsp; =
&nbsp; &nbsp; &nbsp;Thanks,<br>&gt;&gt;&gt; &nbsp; &nbsp; &nbsp; &nbsp; =
&nbsp; &nbsp; &nbsp;Paul<br>&gt;&gt;&gt;<br>&gt;&gt;&gt; &nbsp; &nbsp; =
_________________________________________________<br>&gt;&gt;&gt; &nbsp; =
&nbsp; clue mailing list<br>&gt;&gt;&gt; &nbsp; &nbsp; <a =
href=3D"mailto:clue@ietf.org">clue@ietf.org</a>&lt;mailto:<a =
href=3D"mailto:clue@ietf.org">clue@ietf.org</a>&gt;<br>&gt;&gt;&gt; =
&nbsp; &nbsp; <a href=3D"https://www.ietf.org/mailman/__listinfo/clue" =
target=3D"_blank">https://www.ietf.org/mailman/__listinfo/clue</a><br>&gt=
;&gt;&gt; &nbsp; &nbsp; &lt;<a =
href=3D"https://www.ietf.org/mailman/listinfo/clue" =
target=3D"_blank">https://www.ietf.org/mailman/listinfo/clue</a>&gt;<br>&=
gt;&gt;&gt;<br>&gt;&gt;&gt;<br>&gt;&gt;<br>&gt;<o:p></o:p></p></div></div=
><div><div><p class=3DMsoNormal =
style=3D'margin-bottom:12.0pt'>__________________________________________=
_____<br>clue mailing list<br><a =
href=3D"mailto:clue@ietf.org">clue@ietf.org</a><br><a =
href=3D"https://www.ietf.org/mailman/listinfo/clue" =
target=3D"_blank">https://www.ietf.org/mailman/listinfo/clue</a><o:p></o:=
p></p></div></div></div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div></div></div></body></html>
------=_NextPart_000_006F_01CD6BE9.D4021270--


From pkyzivat@alum.mit.edu  Fri Jul 27 06:30:43 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id E080521F8652 for <clue@ietfa.amsl.com>; Fri, 27 Jul 2012 06:30:43 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.311
X-Spam-Level: 
X-Spam-Status: No, score=-2.311 tagged_above=-999 required=5 tests=[AWL=0.289,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 2FmkysFyaZMm for <clue@ietfa.amsl.com>; Fri, 27 Jul 2012 06:30:43 -0700 (PDT)
Received: from QMTA11.westchester.pa.mail.comcast.net (qmta11.westchester.pa.mail.comcast.net [76.96.59.211]) by ietfa.amsl.com (Postfix) with ESMTP id 7C57421F84F3 for <clue@ietf.org>; Fri, 27 Jul 2012 06:30:38 -0700 (PDT)
Received: from omta14.westchester.pa.mail.comcast.net ([76.96.62.60]) by QMTA11.westchester.pa.mail.comcast.net with comcast id fQEv1j0021HzFnQ5BRWhtB; Fri, 27 Jul 2012 13:30:41 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta14.westchester.pa.mail.comcast.net with comcast id fRWg1j0063ZTu2S3aRWgsX; Fri, 27 Jul 2012 13:30:40 +0000
Message-ID: <501297FC.60403@alum.mit.edu>
Date: Fri, 27 Jul 2012 09:30:36 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <8A527E21B95EF842BC0E952D6E82297747DA1D4A@szxeml527-mbx.china.huawei.com> <E8F5F2C7B2623641BD9ABF0B622D726D023AEA@xmb-rcd-x11.cisco.com> <8A527E21B95EF842BC0E952D6E82297747DA1F8A@szxeml527-mbx.china.huawei.com> <50114600.3050406@alum.mit.edu> <50121C0B.5080100@nteczone.com>
In-Reply-To: <50121C0B.5080100@nteczone.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] FW: New Version Notification	for	draft-xiao-clue-telemedical-use-case-00.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 27 Jul 2012 13:30:44 -0000

[as individual]

On 7/27/12 12:41 AM, Christian Groves wrote:
> Hello Paul,
>
> I think have a enumeration for very specific capabilities woul dbe hard
> but I think there may be some common ones to many conferencing /
> telepresence scenarios.

Well, the thinking behind reusing the 'content' attribute was that there 
is already an IANA registry defined for it, so that extensions for new 
values can be made.

But I think it would be hard to get agreement to add values for the 
various kinds of instrumentation in an operating room. :-)

> In the discussion of this topic I think that
> perhaps the "description" attribute we have today may be too broad. I
> was thinking it would be used for something like "Teleconference Room 2,
> Beijing" but it seems there's proposals to use this for functional level
> things like "speaker etc".

I think there is a difference between descriptions of scenes and 
descriptions of individual captures within a scene.

For scenes, things like the following make sense to me:
- Teleconference Room 2, Beijing
- Presentations from Teleconference Room 2, Beijing
- Operating Room, General Hospital
- Instrumentation from Operating Room, General Hospital

For individual captures, things like the following make sense to me:

- Seats 1&2, Seats 3&4, Seats 5&6
- Shared Application
- Patient Full View
- Patient Close Up
- Surgeon
- Heart Monitor

I do see some difficulty in describing virtual scenes used for synthetic 
captures. There is general agreement that they should be in a different 
scene from the room they originate from, because they don't share the 
same coordinate space. But does every presentation capture have its own 
scene, or do they share?

Also, does the scene for presentations have an explicit relationship to 
the scene for a room? Sometimes I think they do, such as with the 
operating room instrumentation, that clearly originates from the same 
room even if it doesn't have the same coordinate space. In other cases, 
maybe not.

If we have a multi-site conference, there might be a single presentation 
'floor' that all the participants contend for. The content of the 
capture is switched - with the source determined by who has the floor. 
But maybe this is simply an artifact of a conference with an MCU. 
Presumably there is a virtual scene from the MCU containing 
switched/mixed captures, etc. representing the complete collection of 
rooms. And similarly there are then one or more scenes representing 
switched presentations.

For now the best I can see is to allow free text, and let some best 
practice develop.

	Thanks,
	Paul


> Regards, Christian
>
> On 26/07/2012 11:28 PM, Paul Kyzivat wrote:
>> [as individual]
>>
>> On 7/26/12 2:51 AM, Xiaojing wrote:
>>> Hi Espen,
>>>
>>> Please see my response inline.
>>>
>>> Regards,
>>> Lennard
>>>
>>> -----Original Message-----
>>> From: Espen Berger (espeberg) [mailto:espeberg@cisco.com]
>>> Sent: Wednesday, July 25, 2012 11:19 PM
>>> To: Xiaojing; clue@ietf.org
>>> Subject: RE: [clue] FW: New Version Notification for
>>> draft-xiao-clue-telemedical-use-case-00.txt
>>>
>>> Thanks for sharing the use case. I had a similar use case in mind,
>>> advanced lecture type calls mainly focusing on P2P with multiple
>>> presentation streams.
>>>
>>> My assumption for an advanced use case like this is each capture has
>>> at least a description field, e.g. 'x-ray' or 'CT-scan', that can be
>>> used by a manual operator to start and stop what to receive. This use
>>> case explains why we need descriptions for both capture-scenes and
>>> captures.
>>>
>>> [Xiao Jing] I share the same thinking on the description field with
>>> you. The different presentations need to be identified from each
>>> other. A straightforward way is to add description tags to them.
>>
>> I think a textual description is the place to start.
>> It would be hard to start defining a machine-processable enumeration
>> of application-specific categories.
>>
>> We already have the proposal for such a mechanism.
>> This use case simply reinforces the need for that mechanism.
>>
>>> Questions
>>> * Do you assume manual or automatic selection of presentation streams?
>>> [Xiao Jing] In my initial thinking, in the use case it is the surgeon
>>> and endpoint users who decide which presentation streams to be sent
>>> and displayed. Thus it is necessary to identify the presentations.
>>> * How do you decide which presentation streams are important? What if
>>> you offer three presentation streams and I can only receive one, how
>>> do I decide which of them to receive?
>>> [Xiao Jing] I assume that the users can differentiate the streams and
>>> then decide which to receive. In this case, if the user knows exactly
>>> what the stream is about, he can decide without additional
>>> information from the provider. But I also think we can introduced
>>> kind of priority concept into it. The "content" attribute could be a
>>> good place to include this idea. In my memory, Christian and Paul are
>>> working on this issue, and I'll try to inform them to take this into
>>> consideration.
>>> * Have you identified additional meta-information to the CLUE
>>> framework needed to describe the information you have in mind writing
>>> up the use case.
>>> [Xiao Jing] In this early stage, I'm just trying to draw concern
>>> about the necessity of having multiple presentation streams. I think
>>> the current framework can cover all the new requirements coming up
>>> with this use case at ease.
>>
>> I'm not sure whether 'priority' has been brought up on this public
>> list or not.
>>
>> But it is my thought that we need a numeric priority value per
>> capture, that can be used by the recipient when it doesn't have the
>> resources to render even the smallest entry from each scene. *That*
>> would provide a way for the receiving equipment to provide a default
>> rendering. Some endpoints might also provide a gui for the end users
>> to manually configure based on descriptions.
>>
>> The numeric priority could be used to indicate that the presentation
>> is more important than the speaker, or visa versa. And it can be used
>> to indicate a relative priority among presentations. Etc.
>>
>> Thanks,
>> Paul
>>
>>> Regards
>>>
>>> -Espen
>>>
>>>
>>> -----Original Message-----
>>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf
>>> Of Xiaojing
>>> Sent: 25. juli 2012 04:40
>>> To: clue@ietf.org
>>> Subject: [clue] FW: New Version Notification for
>>> draft-xiao-clue-telemedical-use-case-00.txt
>>>
>>> Hi all,
>>>
>>> I've submitted a telemedical use case, which addresses the use of
>>> Telepresence into medical scenarios.
>>>
>>> I think this use case is valid to add another application field where
>>> Telepresence can be used.
>>> So I'd like to suggest adding this use case into the current use case
>>> document.
>>>
>>> Also, along with this use case, some new requirements might come up,
>>> e.g. the requirement to support multiple presentation streams, which
>>> might be considered into the requirement draft.
>>>
>>> Best regards,
>>> Lennard
>>>
>>> -----Original Message-----
>>> From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
>>> Sent: Monday, July 09, 2012 11:13 AM
>>> To: Xiaojing
>>> Cc: Roni even
>>> Subject: New Version Notification for
>>> draft-xiao-clue-telemedical-use-case-00.txt
>>>
>>>
>>> A new version of I-D, draft-xiao-clue-telemedical-use-case-00.txt
>>> has been successfully submitted by Lennard Xiao and posted to the
>>> IETF repository.
>>>
>>> Filename: draft-xiao-clue-telemedical-use-case
>>> Revision: 00
>>> Title: Use Case for Telemedical with Multi-streams
>>> Creation date: 2012-07-06
>>> WG ID: Individual Submission
>>> Number of pages: 5
>>> URL:
>>> http://www.ietf.org/internet-drafts/draft-xiao-clue-telemedical-use-case-00.txt
>>>
>>> Status:
>>> http://datatracker.ietf.org/doc/draft-xiao-clue-telemedical-use-case
>>> Htmlized:
>>> http://tools.ietf.org/html/draft-xiao-clue-telemedical-use-case-00
>>>
>>>
>>> Abstract:
>>> This memo presenst a telemedicine use case where multiple
>>> presentation streams are used for conveying different information in
>>> parallel to the main video from the surgery room
>>>
>>>
>>>
>>>
>>> The IETF Secretariat
>>> _______________________________________________
>>> clue mailing list
>>> clue@ietf.org
>>> https://www.ietf.org/mailman/listinfo/clue
>>> _______________________________________________
>>> clue mailing list
>>> clue@ietf.org
>>> https://www.ietf.org/mailman/listinfo/clue
>>>
>>
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
>>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From pkyzivat@alum.mit.edu  Fri Jul 27 06:43:51 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 569D921F86C7 for <clue@ietfa.amsl.com>; Fri, 27 Jul 2012 06:43:51 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -1.234
X-Spam-Level: 
X-Spam-Status: No, score=-1.234 tagged_above=-999 required=5 tests=[AWL=-0.797, BAYES_00=-2.599, FH_RELAY_NODNS=1.451, HELO_MISMATCH_NET=0.611, RDNS_NONE=0.1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 8ZGqWE3WbcXX for <clue@ietfa.amsl.com>; Fri, 27 Jul 2012 06:43:50 -0700 (PDT)
Received: from qmta02.westchester.pa.mail.comcast.net (qmta02.westchester.pa.mail.comcast.net [IPv6:2001:558:fe14:43:76:96:62:24]) by ietfa.amsl.com (Postfix) with ESMTP id 04B2121F86B7 for <clue@ietf.org>; Fri, 27 Jul 2012 06:43:49 -0700 (PDT)
Received: from omta07.westchester.pa.mail.comcast.net ([76.96.62.59]) by qmta02.westchester.pa.mail.comcast.net with comcast id fP2q1j0081GhbT851Rjs4G; Fri, 27 Jul 2012 13:43:52 +0000
Received: from Paul-Kyzivats-MacBook-Pro.local ([50.138.229.164]) by omta07.westchester.pa.mail.comcast.net with comcast id fRjz1j0063ZTu2S3TRk0zF; Fri, 27 Jul 2012 13:44:00 +0000
Message-ID: <50129B14.7060802@alum.mit.edu>
Date: Fri, 27 Jul 2012 09:43:48 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: Andy Pepperell <apeppere@gmail.com>
References: <004c01cd6a45$9f6115c0$de234140$@gmail.com> <501001E0.30706@alum.mit.edu> <CAA86=sOz5j4gXigRuZ6OiAWGC6H+UGcsstFxdNDyJTtZ2BVMgg@mail.gmail.com> <501008E1.5060006@alum.mit.edu> <796BD0FD-2F14-4A43-B6E8-66D3B8B67A01@gmail.com> <50115816.3090900@alum.mit.edu> <006101cd6bcf$49b4cb40$dd1e61c0$@gmail.com> <CAA86=sNajeirhZVTEOBzDHbnci1TOCXxi9x1D7+XLTkFYt_esg@mail.gmail.com>
In-Reply-To: <CAA86=sNajeirhZVTEOBzDHbnci1TOCXxi9x1D7+XLTkFYt_esg@mail.gmail.com>
Content-Type: text/plain; charset=windows-1252; format=flowed
Content-Transfer-Encoding: 8bit
Cc: clue@ietf.org
Subject: Re: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 27 Jul 2012 13:43:51 -0000

It occurs to me that there is another way that the description of 
encoding resources is unable to capture nuances:

In some cases an MCU may be able to send the same encoded media to 
multiple consumers. If so, then that one may be considered "free" to all 
but one of the consumers. Then in principle they could get another 
capture that they otherwise wouldn't be able to get.

The reuse that Roni is talking about is similar, but arises for a single 
provider/consumer relationship.

I guess the challenge is that providing enough information to figure out 
when this applies is probably too difficult for us to attempt. And if 
not we will have to settle for the suboptimal solution that assumes 
every received capture requires a separate encoder.

Alternatively, I guess it would be possible to stop trying to convey 
encoding constraints from provider to consumer, and instead use some 
sort of negotiation to arrive at a workable configuration. But that 
seems unreasonably complex.

	Thanks,
	Paul

On 7/27/12 3:40 AM, Andy Pepperell wrote:
> Hi Roni,
>
>  >If VC4 does not require extra decoding resources, it will still
> require it when VC4 is advertised as a separate media capture entry.
>
> I'm not sure that which capture scene entry VC4 is part of is a
> determining factor here - as currently defined, VC4 shouldn't be in the
> same capture scene entry as VC1..3 as it's an alternative to their
> capture scene entry rather than being part of it.
>
>  >Can I provide a different limit on VC4 depending on which media
> capture entry uses it
>
> I'm not sure how best to answer this, as, again, to my mind it wouldn't
> depend on which capture scene entry VC4 was to be found in (as it should
> always be separate to VC1..VC3) but different limits are supported
> through the encoding groups - as it currently stands, the way to do what
> you're describing through the framework would be to have VC4 in a
> different encoding group.
>
>  >This is a general question when a media capture is advertised in more
> than one media capture entry but the advertisement would like different
> limitation on it.
>  >I assume the only way is to not have the same media capture in more
> than one entry and the text should mention this issue.
>
> I'm not sure that having a media capture in more than one capture scene
> entry makes much sense within the framework as it currently stands; to
> re-iterate: capture scene entries are alternative representation of the
> same capture scene and so having a media capture entry in more than one
> capture scene entry would, I think, make it more difficult for a
> consumer to be able to make a sensible choice.
>
> It seems to me that what this discussion is about is introducing a new
> semantic whereby if you put one or more switched media captures in the
> same capture scene entry as one or more non-switched captures then
> there's an implication that the switched captures are just copies of the
> others (and so don't need separate decoding, and affects how the
> consumer choices need to fit in with the encoding [group] limits as
> declared by the provider). This is not something covered by the
> framework at the moment, which intentionally focusses on the more
> general cases where a switched version either isn't a simple copy of one
> of the non-switched captures (e.g. it's a separate PTZ camera) or a
> consumer wants to receive it with different encoding characteristics
> (bit rate, resolution etc.). I would go back (perhaps tediously!) to an
> earlier comment where if a consumer really wants to do segment switching
> and not separately decode the switched capture, guaranteeing that the
> switched version is a copy of one of the other streams, the optimal way
> to do this would be for it to perform the segment switching itself. This
> would also have the advantage of working with providers which either
> didn't offer the segment switched capture at all or did so in a way that
> would definitely require a separate decode.
>
> Regards,
>
> Andy
>
>
> On Fri, Jul 27, 2012 at 9:10 AM, Roni Even <ron.even.tlv@gmail.com
> <mailto:ron.even.tlv@gmail.com>> wrote:
>
>     Hi,
>     There are another questions.
>     If VC4 does not require extra decoding resources, it will still
>     require it when VC4 is advertised as a separate media capture entry.
>     Can I provide a different limit on VC4 depending on which media
>     capture entry uses it. This is a general question when a media
>     capture is advertised in more than one media capture entry but the
>     advertisement would like different limitation on it. I assume the
>     only way is to not have the same media capture in more than one
>     entry and the text should mention this issue.
>     This will mean that in my example you cannot have both as VC4 and in
>     the first entry it must be possible to say that there are no
>     limitation on the MC in the advertisement to make it clear that no
>     extra resources are needed for it when switching between VC1-3.
>     Roni
>
>     -----Original Message-----
>     From: clue-bounces@ietf.org <mailto:clue-bounces@ietf.org>
>     [mailto:clue-bounces@ietf.org <mailto:clue-bounces@ietf.org>] On
>     Behalf Of Paul Kyzivat
>     Sent: 26 July, 2012 4:46 PM
>     To: Andrew Pepperell
>     Cc: clue@ietf.org <mailto:clue@ietf.org>
>     Subject: Re: [clue] Question about encoding values
>
>     On 7/25/12 1:50 PM, Andrew Pepperell wrote:
>      > Hi Paul,
>      >
>      > Apologies if it seemed like I was evading your question (!).
>     Partly I was keen not to give the impression what I was saying was
>     any more than just my opinion on this issue...
>      >
>      > In the general case I believe VC4 in this example has to
>     [permitted to be] a separately encoded stream needing a separate
>     decode. This would be essential for cases where the switched
>     sub-scene view *wasn't* just one of VC1..3, and also for cases where
>     the consumer requires different encoding characteristics, e.g. a
>     lower resolution or bit rate.
>      >
>      > The RTP usage draft from Jonathan and others describes how the
>     same actual encoding can be sent by a provider to satisfy multiple
>     consumer choices. I maintain, though clearly it's a matter of
>     opinion, that the best way for a consumer to guarantee that "VC4" be
>     a shared encode of one of VC1..VC3 is for it to receive only those
>     captures and perform the segment switching itself (we've talked in
>     various meetings about linking VAD / energy detection to
>     provider-side co-ordinates and this would seem to be applicable
>     here, as it also addresses cases where the provider would not be
>     able to supply a separate, additional, VC4 equivalent).
>      >
>      > You probably think this still doesn't answer your question - I
>     think for some cases it's yes and for some it's no, depending on how
>     the provider is providing the switched capture and on how the
>     consumer plans to use it. It's definitely the case that ghere's no
>     explicit signalling for a provider to say "capture N" is always one
>     of this set of other captures - by way of further generalization, it
>     might also be instructive to consider a potential additional capture
>     scene entry consisting of VC5..VC8, a 4 capture representation of
>     the scene. If this too were present, it would not be possible to
>     determine without extra explicit indication from the provider
>     whether the switched VC4 was one of the 1..3 set or the 5..8 set.
>
>     ISTM there are *two* questions hidden here, though they are closely
>     related.
>
>     One is whether VC4 requires a separate *encoding* resource.
>     The 2nd is whether VC4 requires a separate *decoding* resource.
>
>     The question of the encoding resource comes down to a decision by
>     the receiver about which combinations of captures can be selected.
>     If the receiver thinks that a separate encoder is required for VC4,
>     then it may conclude that it won't be able to select it with some
>     other captures because the advertiser hasn't indicated sufficient
>     encoding resources.
>
>       From the provider's perspective, it may be that it can perform an
>     internal optimization and so require less resources than the
>     receiver thinks are required. That is nice for the provider, but it
>     also means that some useful configurations aren't usable because
>     they can't be discovered by the recipient.
>
>     Similarly, the recipient can only select those configurations that
>     it has decoders to handle. And once it has assigned decoders, it
>     probably has less opportunity (than the provider) to exploit
>     optimizations that would let it use fewer decoders.
>
>     Having said all that, I don't know if it implies any changes to the
>     mechanisms that have proposed.
>
>              Thanks,
>              Paul
>
>      > Regards,
>      >
>      > Andy
>      >
>      >
>      > On 25 Jul 2012, at 15:55, Paul Kyzivat<pkyzivat@alum.mit.edu
>     <mailto:pkyzivat@alum.mit.edu>>  wrote:
>      >
>      >> On 7/25/12 10:44 AM, Andy Pepperell wrote:
>      >>> Hi Paul,
>      >>>
>      >>>> I wonder about this. If capture ids are being sent in the media
>      >>> stream, then won't a separate codec resource be required for VC4 to
>      >>> do that? Or are you assuming that insertion of the capture id is a
>      >>> separate function from the codec?
>      >>>
>      >>> I think it's true that there will be a separate distinct ID for VC4
>      >>> as compared to any of the others (this is obviously essential for
>      >>> cases where VC4 is not just a simple copy of VC1, VC2 or VC3). The
>      >>> media-9 requirement that Roni cites in
>      >>> "draft-lennox-clue-rtp-usage-04" covers this case to some degree,
>      >>> and the intent (from that draft) in this scenario is for the
>      >>> provider to use more than one header-extension value within the
>     same
>      >>> RTP stream (most notably, the same SSRC) to indicate this
>      >>> equivalence to the consumer (the consumer may or may not be set
>     up to be optimised for this case).
>      >>>
>      >>> A forthcoming amendment to that RTP usage draft proposes that
>      >>> instead of the capture ID being used within the RTP encoding,
>     it's a
>      >>> consumer-chosen ID (for the purposes of this discussion I don't
>      >>> believe it's significant, but this is necessary for simulcast
>     cases,
>      >>> and at the last interim meeting there was broad agreement over the
>      >>> usefulness of the ID being chosen by the consumer-side rather
>     than the provider).
>      >>
>      >> I understand all that. But you didn't answer my question:
>      >>
>      >> Does this mean that a switched capture always requires a
>     separate encoding resource?
>      >>
>      >> I guess you were arguing that the consumer must assume it does.
>      >>
>      >>     Thanks,
>      >>     Paul
>      >>
>      >>> Andy
>      >>>
>      >>>
>      >>>
>      >>> On Wed, Jul 25, 2012 at 3:25 PM, Paul
>     Kyzivat<pkyzivat@alum.mit.edu <mailto:pkyzivat@alum.mit.edu>
>      >>> <mailto:pkyzivat@alum.mit.edu <mailto:pkyzivat@alum.mit.edu>>>
>       wrote:
>      >>>
>      >>>     On 7/25/12 5:12 AM, Roni Even wrote:
>      >>>
>      >>>         Hi,
>      >>>
>      >>>         I am still trying to understand how the encoding groups
>     and Id work.
>      >>>
>      >>>         Suppose the advertisement include four media captures.
>      >>>
>      >>>         VC1 – left camera
>      >>>
>      >>>         VC2 – center camera
>      >>>
>      >>>         VC3 – right camera
>      >>>
>      >>>         VC4 – switched
>      >>>
>      >>>         The capture scene entries may be
>      >>>
>      >>>         (vc1,vc2,vc3,vc4)
>      >>>
>      >>>         (vc4)
>      >>>
>      >>>         VC4 appears in the both entries but it may have
>     different encoding
>      >>>         constrains in both cases.
>      >>>
>      >>>         The encoding constrains have two values that reflect
>     different
>      >>>         resources. One is for network bandwidth and the second
>     is for
>      >>>         the codec
>      >>>         performance.
>      >>>
>      >>>         In the first capture scene entry VC4 does not require
>     any additional
>      >>>         codec resource since it will use one from VC1,2 or 3.
>      >>>
>      >>>
>      >>>     I wonder about this. If capture ids are being sent in the media
>      >>>     stream, then won't a separate codec resource be required
>     for VC4 to
>      >>>     do that? Or are you assuming that insertion of the capture
>     id is a
>      >>>     separate function from the codec?
>      >>>
>      >>>              Thanks,
>      >>>              Paul
>      >>>
>      >>>     _________________________________________________
>      >>>     clue mailing list
>      >>> clue@ietf.org <mailto:clue@ietf.org><mailto:clue@ietf.org
>     <mailto:clue@ietf.org>>
>      >>> https://www.ietf.org/mailman/__listinfo/clue
>      >>> <https://www.ietf.org/mailman/listinfo/clue>
>      >>>
>      >>>
>      >>
>      >
>
>     _______________________________________________
>     clue mailing list
>     clue@ietf.org <mailto:clue@ietf.org>
>     https://www.ietf.org/mailman/listinfo/clue
>
>


From ron.even.tlv@gmail.com  Fri Jul 27 14:45:04 2012
Return-Path: <ron.even.tlv@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 9245321F84EA for <clue@ietfa.amsl.com>; Fri, 27 Jul 2012 14:45:04 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.599
X-Spam-Level: 
X-Spam-Status: No, score=-3.599 tagged_above=-999 required=5 tests=[AWL=0.000,  BAYES_00=-2.599, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id L5VGZUhEiwIa for <clue@ietfa.amsl.com>; Fri, 27 Jul 2012 14:45:03 -0700 (PDT)
Received: from mail-pb0-f44.google.com (mail-pb0-f44.google.com [209.85.160.44]) by ietfa.amsl.com (Postfix) with ESMTP id 59A8E21F8499 for <clue@ietf.org>; Fri, 27 Jul 2012 14:45:03 -0700 (PDT)
Received: by pbcwy7 with SMTP id wy7so5723584pbc.31 for <clue@ietf.org>; Fri, 27 Jul 2012 14:45:03 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=from:to:cc:references:in-reply-to:subject:date:message-id :mime-version:content-type:content-transfer-encoding:x-mailer :thread-index:content-language; bh=lD6WTyuXndXWIWfQ+x5Pre44tkDL7q6HgjMnd9iAJ9Y=; b=wYZfN61gkUyYboV7DL2UBv8wfC8zCC0sWAzkTF3DLGP+pDRNxSx88jx9yJ3NehI8cN aolVzuNfqV+D3WMGfrxubYH0uxXDh5Gv9scXIGlvNU/Jy939n09IBfGfdOQes+eqXspz 3BdB6+U4btnuR/qnO90OY2pbBEGEz/uZrWF8E4a9mXFHuS2QsFkyB5uzti7IH39nC1PQ XLNZFgRrui6K/Y8HQqsjkyE00BQuHnIH/lzFtNKHNvH4Lu3qcn0E+w/0v/wlMvM3rFFR EhQAMYFB42X8tGs7wV6wi/YVa9yPKRthm8Obsx7O7XKcM33wlbwwLdq6CfyqCoWiczcL NBPw==
Received: by 10.68.229.136 with SMTP id sq8mr16875500pbc.97.1343425502820; Fri, 27 Jul 2012 14:45:02 -0700 (PDT)
Received: from RoniE ([206.191.100.2]) by mx.google.com with ESMTPS id qr3sm2612986pbc.69.2012.07.27.14.45.01 (version=TLSv1/SSLv3 cipher=OTHER); Fri, 27 Jul 2012 14:45:01 -0700 (PDT)
From: "Roni Even" <ron.even.tlv@gmail.com>
To: "'Paul Kyzivat'" <pkyzivat@alum.mit.edu>, "'Andy Pepperell'" <apeppere@gmail.com>
References: <004c01cd6a45$9f6115c0$de234140$@gmail.com> <501001E0.30706@alum.mit.edu> <CAA86=sOz5j4gXigRuZ6OiAWGC6H+UGcsstFxdNDyJTtZ2BVMgg@mail.gmail.com> <501008E1.5060006@alum.mit.edu> <796BD0FD-2F14-4A43-B6E8-66D3B8B67A01@gmail.com> <50115816.3090900@alum.mit.edu> <006101cd6bcf$49b4cb40$dd1e61c0$@gmail.com> <CAA86=sNajeirhZVTEOBzDHbnci1TOCXxi9x1D7+XLTkFYt_esg@mail.gmail.com> <50129B14.7060802@alum.mit.edu>
In-Reply-To: <50129B14.7060802@alum.mit.edu>
Date: Sat, 28 Jul 2012 00:43:57 +0200
Message-ID: <002101cd6c49$4fcd9d20$ef68d760$@gmail.com>
MIME-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: 7bit
X-Mailer: Microsoft Outlook 14.0
Thread-Index: AQKDrwqZuRpiwxPSzxtTrSp1seZOhgKah+AoAkoTl/wBepiY0wMeSt3DAlXi89ECSP/IewJzze63Af6rIzmVPLyg4A==
Content-Language: en-us
Cc: clue@ietf.org
Subject: Re: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Fri, 27 Jul 2012 21:45:04 -0000

Paul,
In the MCU case each participant will get an individual advertisement. The
MCU may send the same encoded stream to all using the common denominator
(video switch) or if possible send each one an individual encode
(transcoding), this is done in current MCUs. The request from the receiver
is the maximum value , which is also true for the encoding groups in the
CLUE (at least this is my understanding)
Roni

-----Original Message-----
From: Paul Kyzivat [mailto:pkyzivat@alum.mit.edu] 
Sent: 27 July, 2012 3:44 PM
To: Andy Pepperell
Cc: Roni Even; clue@ietf.org
Subject: Re: [clue] Question about encoding values

It occurs to me that there is another way that the description of encoding
resources is unable to capture nuances:

In some cases an MCU may be able to send the same encoded media to multiple
consumers. If so, then that one may be considered "free" to all but one of
the consumers. Then in principle they could get another capture that they
otherwise wouldn't be able to get.

The reuse that Roni is talking about is similar, but arises for a single
provider/consumer relationship.

I guess the challenge is that providing enough information to figure out
when this applies is probably too difficult for us to attempt. And if not we
will have to settle for the suboptimal solution that assumes every received
capture requires a separate encoder.

Alternatively, I guess it would be possible to stop trying to convey
encoding constraints from provider to consumer, and instead use some sort of
negotiation to arrive at a workable configuration. But that seems
unreasonably complex.

	Thanks,
	Paul

On 7/27/12 3:40 AM, Andy Pepperell wrote:
> Hi Roni,
>
>  >If VC4 does not require extra decoding resources, it will still 
> require it when VC4 is advertised as a separate media capture entry.
>
> I'm not sure that which capture scene entry VC4 is part of is a 
> determining factor here - as currently defined, VC4 shouldn't be in 
> the same capture scene entry as VC1..3 as it's an alternative to their 
> capture scene entry rather than being part of it.
>
>  >Can I provide a different limit on VC4 depending on which media 
> capture entry uses it
>
> I'm not sure how best to answer this, as, again, to my mind it 
> wouldn't depend on which capture scene entry VC4 was to be found in 
> (as it should always be separate to VC1..VC3) but different limits are 
> supported through the encoding groups - as it currently stands, the 
> way to do what you're describing through the framework would be to 
> have VC4 in a different encoding group.
>
>  >This is a general question when a media capture is advertised in 
> more than one media capture entry but the advertisement would like 
> different limitation on it.
>  >I assume the only way is to not have the same media capture in more 
> than one entry and the text should mention this issue.
>
> I'm not sure that having a media capture in more than one capture 
> scene entry makes much sense within the framework as it currently 
> stands; to
> re-iterate: capture scene entries are alternative representation of 
> the same capture scene and so having a media capture entry in more 
> than one capture scene entry would, I think, make it more difficult 
> for a consumer to be able to make a sensible choice.
>
> It seems to me that what this discussion is about is introducing a new 
> semantic whereby if you put one or more switched media captures in the 
> same capture scene entry as one or more non-switched captures then 
> there's an implication that the switched captures are just copies of 
> the others (and so don't need separate decoding, and affects how the 
> consumer choices need to fit in with the encoding [group] limits as 
> declared by the provider). This is not something covered by the 
> framework at the moment, which intentionally focusses on the more 
> general cases where a switched version either isn't a simple copy of 
> one of the non-switched captures (e.g. it's a separate PTZ camera) or 
> a consumer wants to receive it with different encoding characteristics 
> (bit rate, resolution etc.). I would go back (perhaps tediously!) to 
> an earlier comment where if a consumer really wants to do segment 
> switching and not separately decode the switched capture, guaranteeing 
> that the switched version is a copy of one of the other streams, the 
> optimal way to do this would be for it to perform the segment 
> switching itself. This would also have the advantage of working with 
> providers which either didn't offer the segment switched capture at 
> all or did so in a way that would definitely require a separate decode.
>
> Regards,
>
> Andy
>
>
> On Fri, Jul 27, 2012 at 9:10 AM, Roni Even <ron.even.tlv@gmail.com 
> <mailto:ron.even.tlv@gmail.com>> wrote:
>
>     Hi,
>     There are another questions.
>     If VC4 does not require extra decoding resources, it will still
>     require it when VC4 is advertised as a separate media capture entry.
>     Can I provide a different limit on VC4 depending on which media
>     capture entry uses it. This is a general question when a media
>     capture is advertised in more than one media capture entry but the
>     advertisement would like different limitation on it. I assume the
>     only way is to not have the same media capture in more than one
>     entry and the text should mention this issue.
>     This will mean that in my example you cannot have both as VC4 and in
>     the first entry it must be possible to say that there are no
>     limitation on the MC in the advertisement to make it clear that no
>     extra resources are needed for it when switching between VC1-3.
>     Roni
>
>     -----Original Message-----
>     From: clue-bounces@ietf.org <mailto:clue-bounces@ietf.org>
>     [mailto:clue-bounces@ietf.org <mailto:clue-bounces@ietf.org>] On
>     Behalf Of Paul Kyzivat
>     Sent: 26 July, 2012 4:46 PM
>     To: Andrew Pepperell
>     Cc: clue@ietf.org <mailto:clue@ietf.org>
>     Subject: Re: [clue] Question about encoding values
>
>     On 7/25/12 1:50 PM, Andrew Pepperell wrote:
>      > Hi Paul,
>      >
>      > Apologies if it seemed like I was evading your question (!).
>     Partly I was keen not to give the impression what I was saying was
>     any more than just my opinion on this issue...
>      >
>      > In the general case I believe VC4 in this example has to
>     [permitted to be] a separately encoded stream needing a separate
>     decode. This would be essential for cases where the switched
>     sub-scene view *wasn't* just one of VC1..3, and also for cases where
>     the consumer requires different encoding characteristics, e.g. a
>     lower resolution or bit rate.
>      >
>      > The RTP usage draft from Jonathan and others describes how the
>     same actual encoding can be sent by a provider to satisfy multiple
>     consumer choices. I maintain, though clearly it's a matter of
>     opinion, that the best way for a consumer to guarantee that "VC4" be
>     a shared encode of one of VC1..VC3 is for it to receive only those
>     captures and perform the segment switching itself (we've talked in
>     various meetings about linking VAD / energy detection to
>     provider-side co-ordinates and this would seem to be applicable
>     here, as it also addresses cases where the provider would not be
>     able to supply a separate, additional, VC4 equivalent).
>      >
>      > You probably think this still doesn't answer your question - I
>     think for some cases it's yes and for some it's no, depending on how
>     the provider is providing the switched capture and on how the
>     consumer plans to use it. It's definitely the case that ghere's no
>     explicit signalling for a provider to say "capture N" is always one
>     of this set of other captures - by way of further generalization, it
>     might also be instructive to consider a potential additional capture
>     scene entry consisting of VC5..VC8, a 4 capture representation of
>     the scene. If this too were present, it would not be possible to
>     determine without extra explicit indication from the provider
>     whether the switched VC4 was one of the 1..3 set or the 5..8 set.
>
>     ISTM there are *two* questions hidden here, though they are closely
>     related.
>
>     One is whether VC4 requires a separate *encoding* resource.
>     The 2nd is whether VC4 requires a separate *decoding* resource.
>
>     The question of the encoding resource comes down to a decision by
>     the receiver about which combinations of captures can be selected.
>     If the receiver thinks that a separate encoder is required for VC4,
>     then it may conclude that it won't be able to select it with some
>     other captures because the advertiser hasn't indicated sufficient
>     encoding resources.
>
>       From the provider's perspective, it may be that it can perform an
>     internal optimization and so require less resources than the
>     receiver thinks are required. That is nice for the provider, but it
>     also means that some useful configurations aren't usable because
>     they can't be discovered by the recipient.
>
>     Similarly, the recipient can only select those configurations that
>     it has decoders to handle. And once it has assigned decoders, it
>     probably has less opportunity (than the provider) to exploit
>     optimizations that would let it use fewer decoders.
>
>     Having said all that, I don't know if it implies any changes to the
>     mechanisms that have proposed.
>
>              Thanks,
>              Paul
>
>      > Regards,
>      >
>      > Andy
>      >
>      >
>      > On 25 Jul 2012, at 15:55, Paul Kyzivat<pkyzivat@alum.mit.edu
>     <mailto:pkyzivat@alum.mit.edu>>  wrote:
>      >
>      >> On 7/25/12 10:44 AM, Andy Pepperell wrote:
>      >>> Hi Paul,
>      >>>
>      >>>> I wonder about this. If capture ids are being sent in the media
>      >>> stream, then won't a separate codec resource be required for VC4
to
>      >>> do that? Or are you assuming that insertion of the capture id is
a
>      >>> separate function from the codec?
>      >>>
>      >>> I think it's true that there will be a separate distinct ID for
VC4
>      >>> as compared to any of the others (this is obviously essential for
>      >>> cases where VC4 is not just a simple copy of VC1, VC2 or VC3).
The
>      >>> media-9 requirement that Roni cites in
>      >>> "draft-lennox-clue-rtp-usage-04" covers this case to some degree,
>      >>> and the intent (from that draft) in this scenario is for the
>      >>> provider to use more than one header-extension value within the
>     same
>      >>> RTP stream (most notably, the same SSRC) to indicate this
>      >>> equivalence to the consumer (the consumer may or may not be set
>     up to be optimised for this case).
>      >>>
>      >>> A forthcoming amendment to that RTP usage draft proposes that
>      >>> instead of the capture ID being used within the RTP encoding,
>     it's a
>      >>> consumer-chosen ID (for the purposes of this discussion I don't
>      >>> believe it's significant, but this is necessary for simulcast
>     cases,
>      >>> and at the last interim meeting there was broad agreement over
the
>      >>> usefulness of the ID being chosen by the consumer-side rather
>     than the provider).
>      >>
>      >> I understand all that. But you didn't answer my question:
>      >>
>      >> Does this mean that a switched capture always requires a
>     separate encoding resource?
>      >>
>      >> I guess you were arguing that the consumer must assume it does.
>      >>
>      >>     Thanks,
>      >>     Paul
>      >>
>      >>> Andy
>      >>>
>      >>>
>      >>>
>      >>> On Wed, Jul 25, 2012 at 3:25 PM, Paul
>     Kyzivat<pkyzivat@alum.mit.edu <mailto:pkyzivat@alum.mit.edu>
>      >>> <mailto:pkyzivat@alum.mit.edu <mailto:pkyzivat@alum.mit.edu>>>
>       wrote:
>      >>>
>      >>>     On 7/25/12 5:12 AM, Roni Even wrote:
>      >>>
>      >>>         Hi,
>      >>>
>      >>>         I am still trying to understand how the encoding groups
>     and Id work.
>      >>>
>      >>>         Suppose the advertisement include four media captures.
>      >>>
>      >>>         VC1 - left camera
>      >>>
>      >>>         VC2 - center camera
>      >>>
>      >>>         VC3 - right camera
>      >>>
>      >>>         VC4 - switched
>      >>>
>      >>>         The capture scene entries may be
>      >>>
>      >>>         (vc1,vc2,vc3,vc4)
>      >>>
>      >>>         (vc4)
>      >>>
>      >>>         VC4 appears in the both entries but it may have
>     different encoding
>      >>>         constrains in both cases.
>      >>>
>      >>>         The encoding constrains have two values that reflect
>     different
>      >>>         resources. One is for network bandwidth and the second
>     is for
>      >>>         the codec
>      >>>         performance.
>      >>>
>      >>>         In the first capture scene entry VC4 does not require
>     any additional
>      >>>         codec resource since it will use one from VC1,2 or 3.
>      >>>
>      >>>
>      >>>     I wonder about this. If capture ids are being sent in the
media
>      >>>     stream, then won't a separate codec resource be required
>     for VC4 to
>      >>>     do that? Or are you assuming that insertion of the capture
>     id is a
>      >>>     separate function from the codec?
>      >>>
>      >>>              Thanks,
>      >>>              Paul
>      >>>
>      >>>     _________________________________________________
>      >>>     clue mailing list
>      >>> clue@ietf.org <mailto:clue@ietf.org><mailto:clue@ietf.org
>     <mailto:clue@ietf.org>>
>      >>> https://www.ietf.org/mailman/__listinfo/clue
>      >>> <https://www.ietf.org/mailman/listinfo/clue>
>      >>>
>      >>>
>      >>
>      >
>
>     _______________________________________________
>     clue mailing list
>     clue@ietf.org <mailto:clue@ietf.org>
>     https://www.ietf.org/mailman/listinfo/clue
>
>


From allyn@cisco.com  Sat Jul 28 20:19:30 2012
Return-Path: <allyn@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id BD10C21F8722 for <clue@ietfa.amsl.com>; Sat, 28 Jul 2012 20:19:30 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -9.663
X-Spam-Level: 
X-Spam-Status: No, score=-9.663 tagged_above=-999 required=5 tests=[AWL=-0.936, BAYES_00=-2.599, FRT_BEFORE=1.272, J_CHICKENPOX_22=0.6, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id ig-f6-2TXBUD for <clue@ietfa.amsl.com>; Sat, 28 Jul 2012 20:19:29 -0700 (PDT)
Received: from rcdn-iport-5.cisco.com (rcdn-iport-5.cisco.com [173.37.86.76]) by ietfa.amsl.com (Postfix) with ESMTP id A10B721F871D for <clue@ietf.org>; Sat, 28 Jul 2012 20:19:29 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=allyn@cisco.com; l=5067; q=dns/txt; s=iport; t=1343531969; x=1344741569; h=from:to:cc:subject:date:message-id:references: in-reply-to:content-transfer-encoding:mime-version; bh=PaBlDLp5bODi41NdobXHNkrPfnnjOOGTvTZCsiWOQpw=; b=LPyszEGb7ZZ6+pZ7h9Pf/SZLz6sNcwETa/I9Rs2WqcLzOZ7TDTm5oF8R wlk9goV0uL9tx6I9dOsSsjA9enh9PaY9Bf2pHHcvwuqNyXsH9BRuzMKEB /uB9BXA0h0Zxje4jerqfIm3tfMT/c04Z5ZwG/ulbmlKtceqqLYlBVDYu7 k=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av8EAN+qFFCtJXG//2dsb2JhbABFuV+BB4IgAQEBBAEBAQ8BJzQJAgwEAgEIEQQBAQEKFAkHJwsUCAEIAgQBDQUIGodrC5oDnyQEi1CGAmADo3CBZoJf
X-IronPort-AV: E=Sophos;i="4.77,673,1336348800"; d="scan'208";a="106328638"
Received: from rcdn-core2-4.cisco.com ([173.37.113.191]) by rcdn-iport-5.cisco.com with ESMTP; 29 Jul 2012 03:19:29 +0000
Received: from xhc-aln-x09.cisco.com (xhc-aln-x09.cisco.com [173.36.12.83]) by rcdn-core2-4.cisco.com (8.14.5/8.14.5) with ESMTP id q6T3JTs5001557 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Sun, 29 Jul 2012 03:19:29 GMT
Received: from xmb-aln-x02.cisco.com ([169.254.5.237]) by xhc-aln-x09.cisco.com ([173.36.12.83]) with mapi id 14.02.0298.004; Sat, 28 Jul 2012 22:17:30 -0500
From: "Allyn Romanow (allyn)" <allyn@cisco.com>
To: Christian Groves <Christian.Groves@nteczone.com>, "clue@ietf.org" <clue@ietf.org>
Thread-Topic: [clue] FW: New Version Notification for draft-romanow-clue-data-model-01.txt
Thread-Index: AQHNT2ad72CiQ3Qf5k6mfebAfgXUK5c/xbzw
Date: Sun, 29 Jul 2012 03:19:27 +0000
Message-ID: <FD433719B54BFE41A70641D06F516F130F3CE855@xmb-aln-x02.cisco.com>
References: <9AC2C4348FD86B4BB1F8FA9C5E3A5EDC07A3819F@xmb-sjc-221.amer.cisco.com> <4FE2A361.6080501@nteczone.com>
In-Reply-To: <4FE2A361.6080501@nteczone.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.21.79.66]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19070.001
x-tm-as-result: No--40.280700-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] FW: New Version Notification for	draft-romanow-clue-data-model-01.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Sun, 29 Jul 2012 03:19:30 -0000

-----Original Message-----
From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Chr=
istian Groves
Sent: Wednesday, June 20, 2012 9:30 PM
To: clue@ietf.org
Subject: Re: [clue] FW: New Version Notification for draft-romanow-clue-dat=
a-model-01.txt

Hello Allyn and Andy,

Post the interim meeting I've had a bit of a closer look at the data model =
and I have a few comments/questions:


o Section 4 - Perhaps the numbering in section 4 could follow the=20
hierarchy of the XML scheme. i.e. rather than <capture-description>=20
being at level 4.2 it could be 4.1.1. It might make it easier for=20
readers to follow.
AR- Okay

o Sect. 4.3 <capture-id> - This indicates that the alphanumeric value is=20
unique. Within what scope is it unique? i.e. the framework uses the ACx=20
and VCx conventions. Where x could be the same value for both audio and=20
video. So is the ID unique to an endpoint / capture scene / media etc?=20
Maybe we want to keep the alphanumeric convention AC,VC etc?

AR- I'm going to let Andy respond to this

o Sect. 4.4 - If we adopted the naming scheme from the framework perhaps=20
this element is redundant? Alternatively could audio/video result in=20
another branch? i.e. be sub-elements all the parameters relevant to=20
audio would be under it and all the video parameters would be under the=20
video branch.
 AR- this seems a bit more complicated to me

o Sect. 4.5 - The description seems to only focus on video. Wouldn't an=20
audio feed generated by a computer also be valid?

AR- does this need to treated differently and therefore need to be distingu=
ished?

o Sect. 4.8.1 - The framework calls this "Are of capture". We probably=20
should be consistent.

AR- I don't believe that the data model elements should need to name things=
 the way the framework does. You can make the framework doc nomenclature ma=
tch the data model at the end of the process, if people want to do that.=20
The framework describes the concepts and was done prior to the data model w=
hich is a somewhat formal specification of data elements. I wouldn't expect=
 the names to be exactly the same.

o Sect. 4.8.3 - FYI, in ITU-T q5/16 at the last meeting a proposal was=20
received to add this to the parameters document. The proposal wasn't=20
supported as it was felt more information was necessary.

AR- that is interesting. What is your opinion on whether it is useful in CL=
UE?

o Sect. 4.12 - It says "...When there are multiple entries of the same=20
media type in the capture scene,...". I'm not sure what the significance=20
is of "the same media type". According to the text below it entries can=20
either be a list of audio or video, so they'll always be the same media=20
type.

AR- I'm not sure what the confusion is, but I get the message that the stat=
ement isn't clear=20
How would it be to say:
	 Each capture entry represents the capture scene, though with different ca=
ptures. For example, if there are 6 participants in the scene, 	one entry m=
ay be for 3 captures, each of which sees 2 participants; and another captur=
e entry may be for one switched capture, where 	the video and audio depends=
 on an algorithm, such as most recent speaker.

o Sect. 4.12.3.2 Nit missing opening "<".

o Sect. 4.12 - It would be good to align the names with the framework.
AR- see above

Regards, Christian


On 7/06/2012 3:43 AM, Allyn Romanow (allyn) wrote:
> Hi,
> I've updated the data model draft to correct an error. The original draft=
 had characters suggesting that elements be mandatory or repeated. This is =
really appropriate for the messages but not for the basic information model=
. The current draft follows the example of XCON RFC 6501 in saying only tha=
t the top level element, in our case, CLUE-info, is mandatory.
>
> Regards,
> Ally
>
> -----Original Message-----
> From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
> Sent: Wednesday, June 06, 2012 10:38 AM
> To: Allyn Romanow (allyn)
> Cc: andy.pepperell@silverflare.com
> Subject: New Version Notification for draft-romanow-clue-data-model-01.tx=
t
>
> A new version of I-D, draft-romanow-clue-data-model-01.txt has been succe=
ssfully submitted by Allyn Romanow and posted to the IETF repository.
>
> Filename:	 draft-romanow-clue-data-model
> Revision:	 01
> Title:		 Data model for the CLUE Framework
> Creation date:	 2012-06-06
> WG ID:		 Individual Submission
> Number of pages: 11
>
> Abstract:
>     This draft is for discussion in the CLUE working group.  It proposes
>     a data model for the CLUE Framework.
>
>                                                                          =
         =20
>
>
> The IETF Secretariat
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

From allyn@cisco.com  Sat Jul 28 20:48:55 2012
Return-Path: <allyn@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id CDA4221F8733 for <clue@ietfa.amsl.com>; Sat, 28 Jul 2012 20:48:55 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.598
X-Spam-Level: 
X-Spam-Status: No, score=-10.598 tagged_above=-999 required=5 tests=[AWL=-0.000, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id KIj1rt-6OEvI for <clue@ietfa.amsl.com>; Sat, 28 Jul 2012 20:48:52 -0700 (PDT)
Received: from rcdn-iport-4.cisco.com (rcdn-iport-4.cisco.com [173.37.86.75]) by ietfa.amsl.com (Postfix) with ESMTP id 09A4121F8731 for <clue@ietf.org>; Sat, 28 Jul 2012 20:48:51 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=allyn@cisco.com; l=27155; q=dns/txt; s=iport; t=1343533732; x=1344743332; h=from:to:cc:subject:date:message-id:references: in-reply-to:mime-version; bh=+awEpFdlK169RBpEVkF94Hg6K247rARm+N1XkYAXe9I=; b=T+O0DplslJsMagxoSt6eU5vsjyu5PftoCrHaigoEpsvTBwUWuj30MrZ2 VG2qJbjwK4DWAbnkEUO6Ec6wuxE8MKIcRVuxTrkr24uk+CmIibgeubvyQ G+LqImoH4QMScgipTetros1htoiUJTpITBsEJN5u+DAdFxrMJScWNM8V3 8=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: AiAFANSxFFCtJXHB/2dsb2JhbABFgkquQwGIUYEHgiABAQEEEgEaTBACAQgOAwQBAQsWBwchERQJCAEBBAENBQgah1wDDAuaApVHDYlOimhohgJgA5N1gmiJdoMdgWaCXw
X-IronPort-AV: E=Sophos;i="4.77,673,1336348800";  d="scan'208,217";a="106360993"
Received: from rcdn-core2-6.cisco.com ([173.37.113.193]) by rcdn-iport-4.cisco.com with ESMTP; 29 Jul 2012 03:48:51 +0000
Received: from xhc-rcd-x09.cisco.com (xhc-rcd-x09.cisco.com [173.37.183.83]) by rcdn-core2-6.cisco.com (8.14.5/8.14.5) with ESMTP id q6T3mowA020543 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Sun, 29 Jul 2012 03:48:50 GMT
Received: from xmb-aln-x02.cisco.com ([169.254.5.237]) by xhc-rcd-x09.cisco.com ([173.37.183.83]) with mapi id 14.02.0298.004; Sat, 28 Jul 2012 22:48:50 -0500
From: "Allyn Romanow (allyn)" <allyn@cisco.com>
To: Roni Even <ron.even.tlv@gmail.com>, "'CLUE'" <clue@ietf.org>
Thread-Topic: [clue] a few issues on data model draft
Thread-Index: Ac1kg8WEk0AQoAApS8WeIXXwQa82UAA1kpGAAfhZT3A=
Date: Sun, 29 Jul 2012 03:48:49 +0000
Message-ID: <FD433719B54BFE41A70641D06F516F130F3CE888@xmb-aln-x02.cisco.com>
References: <FD433719B54BFE41A70641D06F516F1304001C@xmb-aln-x02.cisco.com> <023001cd6530$28b664d0$7a232e70$@gmail.com>
In-Reply-To: <023001cd6530$28b664d0$7a232e70$@gmail.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.21.79.66]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19070.001
x-tm-as-result: No--50.469100-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: multipart/alternative; boundary="_000_FD433719B54BFE41A70641D06F516F130F3CE888xmbalnx02ciscoc_"
MIME-Version: 1.0
Subject: Re: [clue] a few issues on data model draft
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Sun, 29 Jul 2012 03:48:55 -0000

--_000_FD433719B54BFE41A70641D06F516F130F3CE888xmbalnx02ciscoc_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

Hi Roni,
Thanks much for your comments, please see inline -

Best,
Allyn

From: Roni Even [mailto:ron.even.tlv@gmail.com]
Sent: Wednesday, July 18, 2012 2:56 PM
To: Allyn Romanow (allyn); 'CLUE'
Subject: RE: [clue] a few issues on data model draft

Hi,
Reviewed the draft, inline for your question (BTW: not all the new attribut=
es here are in BOLD for example captureID)

okay

Other comments


1.       Need to add axis of capture to the media capture (now in the frame=
work)

2.       The capture scene text and language should be sets of (text, langu=
age), I think is not the current structure

Yes--

Thanks
Roni

From: clue-bounces@ietf.org<mailto:clue-bounces@ietf.org> [mailto:clue-boun=
ces@ietf.org]<mailto:[mailto:clue-bounces@ietf.org]> On Behalf Of Allyn Rom=
anow (allyn)
Sent: 18 July, 2012 3:22 AM
To: CLUE (clue@ietf.org<mailto:clue@ietf.org>)
Subject: [clue] a few issues on data model draft


Folks,

There are several issues related to the data model that we'd like us to con=
sider. These are things that are not exactly the same as in the framework, =
to a lesser or greater extent. They were brought up during the data model p=
resentation at the interim meeting. I wonder if we could work on resolving =
them?

List based on draft-romanow-clue-data-model-01

1.  Any problem with using media-type for capture attribute as described in=
 the draft?

RE: OK

2.  Any problem with using content-type for capture attribute as described =
in the draft?

                RE: I did not see any difference from the framework in whic=
h case I am OK.

3.  DERIVED for capture attribute- Should we have a variable called somethi=
ng like DERIVED, that takes various values, one of which is composed. That =
would mean that if DERIVED is not =3Dcomposed, that the capture is not comp=
osed, and if it =3Dcomposed then it is. I don't have another descriptor to =
propose now, but there could be others either now or later.

Why this change from the framework? I think it is more general than compose=
d Boolean, yet semantically similar.

This does not prevent us from having qualifiers to describe composed, to he=
lp  distinguish between different composed captures, as has  been discussed=
. Also, it needs to be possible to have multiple values for "DERIVED", that=
 is the values should not be mutually exclusive.

                RE:  I am OK if this is for future extension but am not sur=
e about the structure  the high level derived which has Compose and future =
something (not sure what). The composed has a value (true, false) and child=
 elements for extensions . Is this the proposed structure?



AR- I was thinking that it would be Derived, with value composed. So, if it=
 were composed you would have this, otherwise not. Do there need to be chil=
d elements of composed?

Then there would be other derived values as they are identified in the futu=
re.

It seems more general than calling out composed as the top level attribute.=
..



4.  Leave switched as a Boolean as in framework. The proposal in the draft =
seems infeasible - we don't want CLUE  to have to include all the ways in w=
hich products might want to implement switching. It would be better to make=
 this more general, but we have no suggestion for it at present- it does no=
t really match the meaning of a derived capture.

                RE: I think that if we have the extension for composed as I=
 outlined above we can have similar here.

AR- Sorry,  I don't understand your suggestion.. would you mind writing it =
out the way it would be in the data model?

5.  As part of the capture description, should we have a parameter NATIVE-A=
SPECT-RATIO, which indicates the aspect ratio for the capture if there is o=
ne, such as 4:3 for a video camera? The reason is that it can help renderin=
g.

Currently it is not possible to tell whether a remote video source is nativ=
ely 4:3 or 16:9, for instance. If we have this, there might usefully be a "=
PREFERRED-ASPECT-RATIO" in the consumer's stream selection message as part =
of the  (e.g. in "<stream-description> / <encoding>").

                RE: No need, first of all it does not work with switched ca=
pture that may have different aspect ratios. Also this is available in the =
SDP as well as a way for receiver to ask for specific ratio using the SDP i=
mage attribute.

AR - I'll let Andy respond to this

6.   Multiplex ID - Value sent by consumer in its stream selection message =
with the encoding id and capture id. This is the mechanism by which the con=
sumer tells the provider which multiplex id to generate that stream with, s=
o that the consumer can demultiplex the stream correctly when receiving it.
This is the link between RTP and CLUE as discussed in draft-lennox-clue-rtp=
-usage.

     Think should probably be re-named.

               RE: I do not see the need the mapping is to the capture ID w=
hich is a numeric value. See http://tools.ietf.org/html/draft-even-clue-rtp=
-mapping-03

AR- I think this will be discussed at the upcoming meeting in the CLUE sess=
ion Monday.

           7.  AUDIO-RENDERING-ID -  If the notion of an audio rendering ta=
g is

     adopted, this would be needed. It is an ID provided by the consumer to=
 the

     provider. The provider uses the tag to associate an audio stream with =
a video

    stream.

                RE; suggest to take this out at the moment until we agree i=
f needed and how to map.



AR - Sure, tabling it till later seems fine.



Clearly this doesn't cover all the data model issues, but it's a start.



Thanks,

Andy and Allyn



--_000_FD433719B54BFE41A70641D06F516F130F3CE888xmbalnx02ciscoc_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40">
<head>
<meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"=
>
<meta name=3D"Generator" content=3D"Microsoft Word 14 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
p
	{mso-style-priority:99;
	mso-margin-top-alt:auto;
	margin-right:0in;
	mso-margin-bottom-alt:auto;
	margin-left:0in;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
p.MsoAcetate, li.MsoAcetate, div.MsoAcetate
	{mso-style-priority:99;
	mso-style-link:"Balloon Text Char";
	margin:0in;
	margin-bottom:.0001pt;
	font-size:8.0pt;
	font-family:"Tahoma","sans-serif";}
p.MsoNoSpacing, li.MsoNoSpacing, div.MsoNoSpacing
	{mso-style-priority:1;
	margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
p.MsoListParagraph, li.MsoListParagraph, div.MsoListParagraph
	{mso-style-priority:34;
	margin-top:0in;
	margin-right:0in;
	margin-bottom:0in;
	margin-left:.5in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
span.EmailStyle20
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
span.EmailStyle21
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.BalloonTextChar
	{mso-style-name:"Balloon Text Char";
	mso-style-priority:99;
	mso-style-link:"Balloon Text";
	font-family:"Tahoma","sans-serif";}
span.EmailStyle24
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-size:10.0pt;}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
/* List Definitions */
@list l0
	{mso-list-id:959382058;
	mso-list-type:hybrid;
	mso-list-template-ids:-1109785824 67698703 67698713 67698715 67698703 6769=
8713 67698715 67698703 67698713 67698715;}
@list l0:level1
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level2
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level3
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
@list l0:level4
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level5
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level6
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
@list l0:level7
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level8
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level9
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
ol
	{margin-bottom:0in;}
ul
	{margin-bottom:0in;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang=3D"EN-US" link=3D"blue" vlink=3D"purple">
<div class=3D"WordSection1">
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Hi Roni,<o:p></o:p></span=
></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Thanks much for your comm=
ents, please see inline &#8211;<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Best,
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Allyn<o:p></o:p></span></=
p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in">
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;"> Roni Eve=
n [mailto:ron.even.tlv@gmail.com]
<br>
<b>Sent:</b> Wednesday, July 18, 2012 2:56 PM<br>
<b>To:</b> Allyn Romanow (allyn); 'CLUE'<br>
<b>Subject:</b> RE: [clue] a few issues on data model draft<o:p></o:p></spa=
n></p>
</div>
</div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Hi,<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Reviewed the draft, inlin=
e for your question (BTW: not all the new attributes here are in BOLD for e=
xample captureID)<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">okay<o:p></o:p></span></p=
>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Other comments<o:p></o:p>=
</span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<p class=3D"MsoListParagraph" style=3D"text-indent:-.25in;mso-list:l0 level=
1 lfo2"><![if !supportLists]><span style=3D"font-size:11.0pt;font-family:&q=
uot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><span style=3D"mso-=
list:Ignore">1.<span style=3D"font:7.0pt &quot;Times New Roman&quot;">&nbsp=
;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span style=3D"font-size:11.0pt;font-family:=
&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Need to add axis =
of capture to the media capture (now in the framework)<o:p></o:p></span></p=
>
<p class=3D"MsoListParagraph" style=3D"text-indent:-.25in;mso-list:l0 level=
1 lfo2"><![if !supportLists]><span style=3D"font-size:11.0pt;font-family:&q=
uot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><span style=3D"mso-=
list:Ignore">2.<span style=3D"font:7.0pt &quot;Times New Roman&quot;">&nbsp=
;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span style=3D"font-size:11.0pt;font-family:=
&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">The capture scene=
 text and language should be sets of (text, language), I think is not the c=
urrent structure<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Yes--<o:p></o:p></span></=
p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Thanks<o:p></o:p></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Roni<o:p></o:p></span></p=
>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in">
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">
<a href=3D"mailto:clue-bounces@ietf.org">clue-bounces@ietf.org</a> <a href=
=3D"mailto:[mailto:clue-bounces@ietf.org]">
[mailto:clue-bounces@ietf.org]</a> <b>On Behalf Of </b>Allyn Romanow (allyn=
)<br>
<b>Sent:</b> 18 July, 2012 3:22 AM<br>
<b>To:</b> CLUE (<a href=3D"mailto:clue@ietf.org">clue@ietf.org</a>)<br>
<b>Subject:</b> [clue] a few issues on data model draft<o:p></o:p></span></=
p>
</div>
</div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">Folks,</span><o:p></=
o:p></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">There are several is=
sues related to the data model that we&#8217;d like us to consider. These a=
re things that are not exactly the same as in the framework, to a lesser or=
 greater extent. They were brought up during the data
 model presentation at the interim meeting. I wonder if we could work on re=
solving them?<o:p></o:p></span></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">List based on draft-=
romanow-clue-data-model-01</span><o:p></o:p></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">1.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">Any problem with=
 using media-type for capture attribute as described in the draft?<o:p></o:=
p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"color:#1F497D">RE: OK<o:p></o:=
p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">2.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">Any problem with=
 using content-type for capture attribute as described in the draft?<o:p></=
o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: I did not see any differe=
nce from the framework in which case I am OK.<o:p></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">3.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">DERIVED for capt=
ure attribute- Should we have a variable called something like DERIVED, tha=
t takes various values, one of which is composed. That would mean that if D=
ERIVED is not =3Dcomposed, that the capture is
 not composed, and if it =3Dcomposed then it is. I don&#8217;t have another=
 descriptor to propose now, but there could be others either now or later.<=
/span><o:p></o:p></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">Why this change from the framework? I think it is more general than =
composed Boolean, yet semantically similar.<o:p></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">This does not prevent us from having qualifiers to describe composed=
, to help &nbsp;distinguish between different composed captures, as has &nb=
sp;been discussed. Also, it needs to be possible to have
 multiple values for &#8220;DERIVED&#8221;, that is the values should not b=
e mutually exclusive.<o:p></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE:&nbsp; I am OK if this is =
for future extension but am not sure about the structure &nbsp;the high lev=
el derived which has Compose and future something (not sure what).
 The composed has a value (true, false) and child elements for extensions .=
 Is this the proposed structure?<o:p></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">AR- I was thinking that it would be Derived, =
with value composed. So, if it were composed you would have this, otherwise=
 not. Do there need to be child elements of composed?<o:p></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">Then there would be other derived values as t=
hey are identified in the future.<o:p></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">It seems more general than calling out compos=
ed as the top level attribute&#8230;<o:p></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">4.&nbsp; Leave switched as a Boolean as in framework. The proposal i=
n the draft seems infeasible &#8211; we don&#8217;t want CLUE &nbsp;to have=
 to include all the ways in which products might want to implement switchin=
g.
 It would be better to make this more general, but we have no suggestion fo=
r it at present- it does not really match the meaning of a derived capture.=
<o:p></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: I think that if we have t=
he extension for composed as I outlined above we can have similar here.<o:p=
></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">AR- Sorry, &nbsp;I don&#8217;t understand you=
r suggestion.. would you mind writing it out the way it would be in the dat=
a model?<o:p></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">5.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">As part of the c=
apture description, should we have a parameter NATIVE-ASPECT-RATIO, which i=
ndicates the aspect ratio for the capture if there is one, such as 4:3 for =
a video camera? The reason is that it can help
 rendering.<br>
<br>
Currently it is not possible to tell whether a remote video source is nativ=
ely 4:3 or 16:9, for instance. If we have this, there might usefully be a &=
quot;PREFERRED-ASPECT-RATIO&quot; in the consumer's stream selection messag=
e as part of the &nbsp;(e.g. in &quot;&lt;stream-description&gt;
 / &lt;encoding&gt;&quot;).<o:p></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: No need, first of all it =
does not work with switched capture that may have different aspect ratios. =
Also this is available in the SDP as well as a way for
 receiver to ask for specific ratio using the SDP image attribute.<o:p></o:=
p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">AR &#8211; I&#8217;ll let Andy respond to thi=
s<o:p></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">6.</span><span style=3D"font-size:7.0pt">&nbsp; &nbsp;</span><span s=
tyle=3D"font-family:&quot;Courier New&quot;">Multiplex ID &#8211; Value sen=
t by consumer in its stream selection message with the encoding id and capt=
ure
 id. This is the mechanism by which the consumer tells the provider which m=
ultiplex id to generate that stream with, so that the consumer can demultip=
lex the stream correctly when receiving it.
<br>
This is the link between RTP and CLUE as discussed in draft-lennox-clue-rtp=
-usage.<o:p></o:p></span></p>
<p style=3D"margin-bottom:12.0pt"><span style=3D"font-family:&quot;Courier =
New&quot;">&nbsp;&nbsp;&nbsp;&nbsp; Think should probably be re-named.<o:p>=
</o:p></span></p>
<p style=3D"margin-bottom:12.0pt"><span style=3D"font-size:11.0pt;font-fami=
ly:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">&nbsp;&nbsp;&n=
bsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: =
I do not see the need the mapping is to the capture ID which is a numeric v=
alue. See
<a href=3D"http://tools.ietf.org/html/draft-even-clue-rtp-mapping-03">http:=
//tools.ietf.org/html/draft-even-clue-rtp-mapping-03</a>
<o:p></o:p></span></p>
<p style=3D"margin-bottom:12.0pt"><span style=3D"font-size:11.0pt;font-fami=
ly:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">AR- I think th=
is will be discussed at the upcoming meeting in the CLUE session Monday.<o:=
p></o:p></span></p>
<p class=3D"MsoNoSpacing">&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;<span style=3D"font-family:&quot;Courier New&quot;">7.</span><s=
pan style=3D"font-size:7.0pt;font-family:&quot;Courier New&quot;">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">AUDIO-RENDERING-=
ID &#8211; &nbsp;If the notion of an audio rendering tag is<o:p></o:p></spa=
n></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">&nbsp;&nbsp; &nbsp;&nbsp;adopted, this would be needed. It is an ID prov=
ided by the consumer to the<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">&nbsp;&nbsp;&nbsp; &nbsp;provider. The provider uses the tag to associat=
e an audio stream with a video<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">&nbsp;&nbsp;&nbsp;&nbsp;stream.<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE; su=
ggest to take this out at the moment until we agree if needed and how to ma=
p.<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></spa=
n></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">AR &#8211; Sure, tabli=
ng it till later seems fine.<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">Clearly this doesn&#8217;t cover all the data model issues, but it&#8217=
;s a start.<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">Thanks,<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">Andy and Allyn<o:p></o:p></span></p>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;"><o:p>&nbsp;</o:p></span></p>
</div>
</body>
</html>

--_000_FD433719B54BFE41A70641D06F516F130F3CE888xmbalnx02ciscoc_--

From allyn@cisco.com  Sat Jul 28 20:58:37 2012
Return-Path: <allyn@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 3949F21F86F3 for <clue@ietfa.amsl.com>; Sat, 28 Jul 2012 20:58:37 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.598
X-Spam-Level: 
X-Spam-Status: No, score=-10.598 tagged_above=-999 required=5 tests=[AWL=-0.000, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 9zEM1W52UrsO for <clue@ietfa.amsl.com>; Sat, 28 Jul 2012 20:58:32 -0700 (PDT)
Received: from rcdn-iport-5.cisco.com (rcdn-iport-5.cisco.com [173.37.86.76]) by ietfa.amsl.com (Postfix) with ESMTP id CACE121F86E4 for <clue@ietf.org>; Sat, 28 Jul 2012 20:58:31 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=allyn@cisco.com; l=38977; q=dns/txt; s=iport; t=1343534311; x=1344743911; h=from:to:subject:date:message-id:mime-version; bh=pqMPNd4MxnUcoQkjCgasb1RQDvMQwrQVHr30ZPiLonw=; b=crmfjhLN5Cfbq3erS+U955UNw/iKnfjo+Ei8CSe4SbTyo57GPV8ttrwq iH3vYf1ng2IoKZKBXLS/ngnUl9OcRgJKD1xE6kUKh4cDZWTAoH3WejdmS rbQGIXnXyl39MpH3abB86kxU7wn1kDunUR/mBZQlDPZafmdMMIEcYEj30 A=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Ah8FAHSzFFCtJXG9/2dsb2JhbABFgkquQwGIUYEHgiABAQEEEgEaXgEIEQQBAQsWAQYoERQJCQEEARIIGodcAwwLmgCVRQ2JTopoaIYCYAOTdYJoiXaDHYFmgl8
X-IronPort-AV: E=Sophos;i="4.77,673,1336348800";  d="scan'208,217";a="106332171"
Received: from rcdn-core2-2.cisco.com ([173.37.113.189]) by rcdn-iport-5.cisco.com with ESMTP; 29 Jul 2012 03:58:30 +0000
Received: from xhc-rcd-x02.cisco.com (xhc-rcd-x02.cisco.com [173.37.183.76]) by rcdn-core2-2.cisco.com (8.14.5/8.14.5) with ESMTP id q6T3wUjn001130 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Sun, 29 Jul 2012 03:58:30 GMT
Received: from xmb-aln-x02.cisco.com ([169.254.5.237]) by xhc-rcd-x02.cisco.com ([173.37.183.76]) with mapi id 14.02.0298.004; Sat, 28 Jul 2012 22:58:30 -0500
From: "Allyn Romanow (allyn)" <allyn@cisco.com>
To: "Espen Berger (espeberg)" <espeberg@cisco.com>, Roni Even <ron.even.tlv@gmail.com>, "'CLUE'" <clue@ietf.org>
Thread-Topic: [clue] a few issues on data model draft
Thread-Index: Ac1tPme5l9VJvZ08TT+zWnyNCAm8aA==
Date: Sun, 29 Jul 2012 03:58:29 +0000
Message-ID: <FD433719B54BFE41A70641D06F516F130F3CE8B6@xmb-aln-x02.cisco.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.21.79.66]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19070.001
x-tm-as-result: No--39.904800-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: multipart/alternative; boundary="_000_FD433719B54BFE41A70641D06F516F130F3CE8B6xmbalnx02ciscoc_"
MIME-Version: 1.0
Subject: Re: [clue] a few issues on data model draft
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Sun, 29 Jul 2012 03:58:37 -0000

--_000_FD433719B54BFE41A70641D06F516F130F3CE8B6xmbalnx02ciscoc_
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

Hi Espen,
Thanks for your comments-
Please see below-
Also inline in response to your inline :)

From: Espen Berger (espeberg)
Sent: Monday, July 23, 2012 8:27 AM
To: Allyn Romanow (allyn); Roni Even; 'CLUE'
Subject: RE: [clue] a few issues on data model draft

I have two questions to the data model draft.

The first questions is related to naming differences between the CLUE frame=
work and the CLUE data model. Some examples of differences. the framework u=
ses Description and the data model uses capture-scene-text, the framework u=
ses capture and the data model uses capture-description . Isn't it natural =
that both documents share the same vocabulary?

AR - Christian also brought this up.   I believe that the documents will no=
t have the same vocabulary - but the concepts are the same.     The framewo=
rk was written first and it's goal is to describe things as clearly as poss=
ible (we're not done with that...). The data model is more formal and the l=
anguage there is not casual. It was developed after the framework, so it so=
rt of distils the ideas in the framework.

If there is a discrepancy of meaning, that is an issue and we should defini=
tely sort it out. But in terms of language, I think it's fine to either lea=
ve it different or  change the framework at some point to be more in keepin=
g with the data model.. but I think it's a good idea to do that later when =
the data model is about agreed upon.

I've put this on the list for discussion at the IETF meeting on Weds.

The second questions is related to the concept of doing a data model as the=
 basis for both advertisement and configuration messages. Playing around wi=
th some XML examples messages it's not obvious that the two messages types =
share a common data model. I do see similarities between the initial advert=
isement, the current active configuration and the advantages of be able to =
describe the state of a running CLUE system. Assume this will be sorted out=
 when we look at the details of how to do configuration in CLUE.

AR - Okay, this is interesting. Guess I'll have to wait to see more specifi=
cally what issues arise.

Additional comments inline.

-Espen


From: clue-bounces@ietf.org<mailto:clue-bounces@ietf.org> [mailto:clue-boun=
ces@ietf.org]<mailto:[mailto:clue-bounces@ietf.org]> On Behalf Of Allyn Rom=
anow (allyn)
Sent: 18. juli 2012 23:00
To: Roni Even; 'CLUE'
Subject: Re: [clue] a few issues on data model draft

Hi Roni,
Sure, these are easy to add-
thanks

From: Roni Even [mailto:ron.even.tlv@gmail.com]<mailto:[mailto:ron.even.tlv=
@gmail.com]>
Sent: Wednesday, July 18, 2012 2:56 PM
To: Allyn Romanow (allyn); 'CLUE'
Subject: RE: [clue] a few issues on data model draft

Hi,
Reviewed the draft, inline for your question (BTW: not all the new attribut=
es here are in BOLD for example captureID)

Other comments


1.       Need to add axis of capture to the media capture (now in the frame=
work)

2.       The capture scene text and language should be sets of (text, langu=
age), I think is not the current structure

Thanks
Roni

From: clue-bounces@ietf.org<mailto:clue-bounces@ietf.org> [mailto:clue-boun=
ces@ietf.org]<mailto:[mailto:clue-bounces@ietf.org]> On Behalf Of Allyn Rom=
anow (allyn)
Sent: 18 July, 2012 3:22 AM
To: CLUE (clue@ietf.org<mailto:clue@ietf.org>)
Subject: [clue] a few issues on data model draft


Folks,

There are several issues related to the data model that we'd like us to con=
sider. These are things that are not exactly the same as in the framework, =
to a lesser or greater extent. They were brought up during the data model p=
resentation at the interim meeting. I wonder if we could work on resolving =
them?

List based on draft-romanow-clue-data-model-01

1.  Any problem with using media-type for capture attribute as described in=
 the draft?

RE: OK
EBE> Supported, since its allow us to join the audio and video encodings in=
to a single list of encodings.

2.  Any problem with using content-type for capture attribute as described =
in the draft?

                RE: I did not see any difference from the framework in whic=
h case I am OK.
               EBE> The framework use the 'content' name and the data model=
 the 'content-type' name. Why not use the same name?

AR- as above

3.  DERIVED for capture attribute- Should we have a variable called somethi=
ng like DERIVED, that takes various values, one of which is composed. That =
would mean that if DERIVED is not =3Dcomposed, that the capture is not comp=
osed, and if it =3Dcomposed then it is. I don't have another descriptor to =
propose now, but there could be others either now or later.

Why this change from the framework? I think it is more general than compose=
d Boolean, yet semantically similar.

This does not prevent us from having qualifiers to describe composed, to he=
lp  distinguish between different composed captures, as has  been discussed=
. Also, it needs to be possible to have multiple values for "DERIVED", that=
 is the values should not be mutually exclusive.

                RE:  I am OK if this is for future extension but am not sur=
e about the structure  the high level derived which has Compose and future =
something (not sure what). The composed has a value (true, false) and child=
 elements for extensions . Is this the proposed structure?
EBE> I like the idea of describing the origin of the capture with an attrib=
ute that is more extensible than a Boolean. What about creating enumerated =
values for the two origins we are currently discussing. We have 'composed' =
(composed=3Dtrue) meaning that the media has been changed in some way and o=
riginal (composed=3Dfalse).

4.  Leave switched as a Boolean as in framework. The proposal in the draft =
seems infeasible - we don't want CLUE  to have to include all the ways in w=
hich products might want to implement switching. It would be better to make=
 this more general, but we have no suggestion for it at present- it does no=
t really match the meaning of a derived capture.

                RE: I think that if we have the extension for composed as I=
 outlined above we can have similar here.

5.  As part of the capture description, should we have a parameter NATIVE-A=
SPECT-RATIO, which indicates the aspect ratio for the capture if there is o=
ne, such as 4:3 for a video camera? The reason is that it can help renderin=
g.

Currently it is not possible to tell whether a remote video source is nativ=
ely 4:3 or 16:9, for instance. If we have this, there might usefully be a "=
PREFERRED-ASPECT-RATIO" in the consumer's stream selection message as part =
of the  (e.g. in "<stream-description> / <encoding>").

                RE: No need, first of all it does not work with switched ca=
pture that may have different aspect ratios. Also this is available in the =
SDP as well as a way for receiver to ask for specific ratio using the SDP i=
mage attribute.
EBE> The image attribute (RFC6236) document talks about image resolution an=
d picture aspect ratio, and how they relates to codec specific parameters l=
ike h264 max-fs and max-mbps.  An attribute can have a single value, a list=
 of values or a range.

6.   Multiplex ID - Value sent by consumer in its stream selection message =
with the encoding id and capture id. This is the mechanism by which the con=
sumer tells the provider which multiplex id to generate that stream with, s=
o that the consumer can demultiplex the stream correctly when receiving it.
This is the link between RTP and CLUE as discussed in draft-lennox-clue-rtp=
-usage.

     Think should probably be re-named.

               RE: I do not see the need the mapping is to the capture ID w=
hich is a numeric value. See http://tools.ietf.org/html/draft-even-clue-rtp=
-mapping-03

           7.  AUDIO-RENDERING-ID -  If the notion of an audio rendering ta=
g is

     adopted, this would be needed. It is an ID provided by the consumer to=
 the

     provider. The provider uses the tag to associate an audio stream with =
a video

    stream.

                RE; suggest to take this out at the moment until we agree i=
f needed and how to map.
EBE> I assume that matching RTCP SDES CNAME is still the preferred mechanis=
ms for syncing audio and video for lip-sync (as defined in RFC3550). When w=
e discussed audio tags last interim it as was presented as a tool for impro=
ving directional audio.



Clearly this doesn't cover all the data model issues, but it's a start.



Thanks,

Andy and Allyn



--_000_FD433719B54BFE41A70641D06F516F130F3CE8B6xmbalnx02ciscoc_
Content-Type: text/html; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40">
<head>
<meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"=
>
<meta name=3D"Generator" content=3D"Microsoft Word 14 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
	{font-family:Wingdings;
	panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
	{font-family:Wingdings;
	panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
p
	{mso-style-priority:99;
	mso-margin-top-alt:auto;
	margin-right:0in;
	mso-margin-bottom-alt:auto;
	margin-left:0in;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
p.MsoAcetate, li.MsoAcetate, div.MsoAcetate
	{mso-style-priority:99;
	mso-style-link:"Balloon Text Char";
	margin:0in;
	margin-bottom:.0001pt;
	font-size:8.0pt;
	font-family:"Tahoma","sans-serif";}
p.MsoNoSpacing, li.MsoNoSpacing, div.MsoNoSpacing
	{mso-style-priority:1;
	margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
p.MsoListParagraph, li.MsoListParagraph, div.MsoListParagraph
	{mso-style-priority:34;
	margin-top:0in;
	margin-right:0in;
	margin-bottom:0in;
	margin-left:.5in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
span.BalloonTextChar
	{mso-style-name:"Balloon Text Char";
	mso-style-priority:99;
	mso-style-link:"Balloon Text";
	font-family:"Tahoma","sans-serif";}
span.EmailStyle22
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
span.EmailStyle23
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.EmailStyle24
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.EmailStyle25
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.EmailStyle26
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-size:10.0pt;}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
	{page:WordSection1;}
/* List Definitions */
@list l0
	{mso-list-id:959382058;
	mso-list-type:hybrid;
	mso-list-template-ids:-1109785824 67698703 67698713 67698715 67698703 6769=
8713 67698715 67698703 67698713 67698715;}
@list l0:level1
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level2
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level3
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
@list l0:level4
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level5
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level6
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
@list l0:level7
	{mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level8
	{mso-level-number-format:alpha-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:left;
	text-indent:-.25in;}
@list l0:level9
	{mso-level-number-format:roman-lower;
	mso-level-tab-stop:none;
	mso-level-number-position:right;
	text-indent:-9.0pt;}
ol
	{margin-bottom:0in;}
ul
	{margin-bottom:0in;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang=3D"EN-US" link=3D"blue" vlink=3D"purple">
<div class=3D"WordSection1">
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Hi Espen,<o:p></o:p></spa=
n></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Thanks for your comments-
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Please see below-<o:p></o=
:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Also inline in response t=
o your inline
</span><span style=3D"font-size:11.0pt;font-family:Wingdings;color:#1F497D"=
>J</span><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&q=
uot;sans-serif&quot;;color:#1F497D"><o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in">
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;"> Espen Be=
rger (espeberg)
<br>
<b>Sent:</b> Monday, July 23, 2012 8:27 AM<br>
<b>To:</b> Allyn Romanow (allyn); Roni Even; 'CLUE'<br>
<b>Subject:</b> RE: [clue] a few issues on data model draft<o:p></o:p></spa=
n></p>
</div>
</div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">I have two=
 questions to the data model draft.
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">The first =
questions is related to naming differences between the CLUE framework and t=
he CLUE data model. Some examples of differences. the framework
 uses Description and the data model uses capture-scene-text, the framework=
 uses capture and the data model uses capture-description . Isn&#8217;t it =
natural that both documents share the same vocabulary?
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black">AR &#8211; C=
hristian also brought this up. &nbsp;&nbsp;I believe that the documents wil=
l not have the same vocabulary &#8211; but the concepts are the same.&nbsp;=
&nbsp;&nbsp;&nbsp; The framework
 was written first and it&#8217;s goal is to describe things as clearly as =
possible (we&#8217;re not done with that&#8230;). The data model is more fo=
rmal and the language there is not casual. It was developed after the frame=
work, so it sort of distils the ideas in the framework.&nbsp;
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black"><o:p>&nbsp;<=
/o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black">If there is =
a discrepancy of meaning, that is an issue and we should definitely sort it=
 out. But in terms of language, I think it&#8217;s fine to either
 leave it different or&nbsp; change the framework at some point to be more =
in keeping with the data model.. but I think it&#8217;s a good idea to do t=
hat later when the data model is about agreed upon.&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black"><o:p>&nbsp;<=
/o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black">I&#8217;ve p=
ut this on the list for discussion at the IETF meeting on Weds.&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&n=
bsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp=
;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&n=
bsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp=
;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&n=
bsp;&nbsp;&nbsp;&nbsp;&nbsp;<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">The second=
 questions is related to the concept of doing a data model as the basis for=
 both advertisement and configuration messages. Playing around
 with some XML examples messages it&#8217;s not obvious that the two messag=
es types share a common data model. I do see similarities between the initi=
al advertisement, the current active configuration and the advantages of be=
 able to describe the state of a running
 CLUE system. Assume this will be sorted out when we look at the details of=
 how to do configuration in CLUE. &nbsp;<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:black">AR - Okay, t=
his is interesting. Guess I&#8217;ll have to wait to see more specifically =
what issues arise.<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Additional=
 comments inline.
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">-Espen
<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<p class=3D"MsoNormal"><span lang=3D"EN-GB" style=3D"font-size:11.0pt;font-=
family:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp=
;</o:p></span></p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in">
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">
</span><a href=3D"mailto:clue-bounces@ietf.org"><span style=3D"font-size:10=
.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">clue-bounces@ie=
tf.org</span></a><span style=3D"font-size:10.0pt;font-family:&quot;Tahoma&q=
uot;,&quot;sans-serif&quot;">
</span><a href=3D"mailto:[mailto:clue-bounces@ietf.org]"><span style=3D"fon=
t-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">[mailt=
o:clue-bounces@ietf.org]</span></a><span style=3D"font-size:10.0pt;font-fam=
ily:&quot;Tahoma&quot;,&quot;sans-serif&quot;">
<b>On Behalf Of </b>Allyn Romanow (allyn)<br>
<b>Sent:</b> 18. juli 2012 23:00<br>
<b>To:</b> Roni Even; 'CLUE'<br>
<b>Subject:</b> Re: [clue] a few issues on data model draft<o:p></o:p></spa=
n></p>
</div>
</div>
<p class=3D"MsoNormal"><span lang=3D"NO-BOK"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Hi Roni,<o:p></o:p></span=
></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Sure, these are easy to a=
dd-<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">thanks<o:p></o:p></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in">
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;"> Roni Eve=
n
</span><a href=3D"mailto:[mailto:ron.even.tlv@gmail.com]"><span style=3D"fo=
nt-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">[mail=
to:ron.even.tlv@gmail.com]</span></a><span style=3D"font-size:10.0pt;font-f=
amily:&quot;Tahoma&quot;,&quot;sans-serif&quot;">
<br>
<b>Sent:</b> Wednesday, July 18, 2012 2:56 PM<br>
<b>To:</b> Allyn Romanow (allyn); 'CLUE'<br>
<b>Subject:</b> RE: [clue] a few issues on data model draft<o:p></o:p></spa=
n></p>
</div>
</div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Hi,<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Reviewed the draft, inlin=
e for your question (BTW: not all the new attributes here are in BOLD for e=
xample captureID)<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Other comments<o:p></o:p>=
</span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<p class=3D"MsoListParagraph" style=3D"text-indent:-.25in;mso-list:l0 level=
1 lfo2"><![if !supportLists]><span style=3D"font-size:11.0pt;font-family:&q=
uot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><span style=3D"mso-=
list:Ignore">1.<span style=3D"font:7.0pt &quot;Times New Roman&quot;">&nbsp=
;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span style=3D"font-size:11.0pt;font-family:=
&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">Need to add axis =
of capture to the media capture (now in the framework)<o:p></o:p></span></p=
>
<p class=3D"MsoListParagraph" style=3D"text-indent:-.25in;mso-list:l0 level=
1 lfo2"><![if !supportLists]><span style=3D"font-size:11.0pt;font-family:&q=
uot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><span style=3D"mso-=
list:Ignore">2.<span style=3D"font:7.0pt &quot;Times New Roman&quot;">&nbsp=
;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><![endif]><span style=3D"font-size:11.0pt;font-family:=
&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">The capture scene=
 text and language should be sets of (text, language), I think is not the c=
urrent structure<o:p></o:p></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Thanks<o:p></o:p></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D">Roni<o:p></o:p></span></p=
>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></span><=
/p>
<div>
<div style=3D"border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in">
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">
</span><a href=3D"mailto:clue-bounces@ietf.org"><span style=3D"font-size:10=
.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">clue-bounces@ie=
tf.org</span></a><span style=3D"font-size:10.0pt;font-family:&quot;Tahoma&q=
uot;,&quot;sans-serif&quot;">
</span><a href=3D"mailto:[mailto:clue-bounces@ietf.org]"><span style=3D"fon=
t-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">[mailt=
o:clue-bounces@ietf.org]</span></a><span style=3D"font-size:10.0pt;font-fam=
ily:&quot;Tahoma&quot;,&quot;sans-serif&quot;">
<b>On Behalf Of </b>Allyn Romanow (allyn)<br>
<b>Sent:</b> 18 July, 2012 3:22 AM<br>
<b>To:</b> CLUE (</span><a href=3D"mailto:clue@ietf.org"><span style=3D"fon=
t-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">clue@i=
etf.org</span></a><span style=3D"font-size:10.0pt;font-family:&quot;Tahoma&=
quot;,&quot;sans-serif&quot;">)<br>
<b>Subject:</b> [clue] a few issues on data model draft<o:p></o:p></span></=
p>
</div>
</div>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">Folks,</span><o:p></=
o:p></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">There are several is=
sues related to the data model that we&#8217;d like us to consider. These a=
re things that are not exactly the same as in the framework, to a lesser or=
 greater extent. They were brought up during the data
 model presentation at the interim meeting. I wonder if we could work on re=
solving them?<o:p></o:p></span></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">List based on draft-=
romanow-clue-data-model-01</span><o:p></o:p></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">1.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">Any problem with=
 using media-type for capture attribute as described in the draft?<o:p></o:=
p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"color:#1F497D">RE: OK<br>
EBE&gt; Supported, since its allow us to join the audio and video encodings=
 into a single list of encodings.
<o:p></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">2.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">Any problem with=
 using content-type for capture attribute as described in the draft?<o:p></=
o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: I did not see any differe=
nce from the framework in which case I am OK.<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp; EBE&gt; The framework use the &#8216;content&#8217; name and the =
data model the &#8216;content-type&#8217; name. Why not use the same name? =
&nbsp;<o:p></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">AR- as above<o:p></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">3.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">DERIVED for capt=
ure attribute- Should we have a variable called something like DERIVED, tha=
t takes various values, one of which is composed. That would mean that if D=
ERIVED is not =3Dcomposed, that the capture is
 not composed, and if it =3Dcomposed then it is. I don&#8217;t have another=
 descriptor to propose now, but there could be others either now or later.<=
/span><o:p></o:p></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">Why this change from the framework? I think it is more general than =
composed Boolean, yet semantically similar.<o:p></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">This does not prevent us from having qualifiers to describe composed=
, to help &nbsp;distinguish between different composed captures, as has &nb=
sp;been discussed. Also, it needs to be possible to have
 multiple values for &#8220;DERIVED&#8221;, that is the values should not b=
e mutually exclusive.<o:p></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE:&nbsp; I am OK if this is =
for future extension but am not sure about the structure &nbsp;the high lev=
el derived which has Compose and future something (not sure what).
 The composed has a value (true, false) and child elements for extensions .=
 Is this the proposed structure?<br>
EBE&gt; I like the idea of describing the origin of the capture with an att=
ribute that is more extensible than a Boolean. What about creating enumerat=
ed values for the two origins we are currently discussing. We have &#8216;c=
omposed&#8217; (composed=3Dtrue) meaning that the
 media has been changed in some way and original (composed=3Dfalse). <o:p><=
/o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">4.&nbsp; Leave switched as a Boolean as in framework. The proposal i=
n the draft seems infeasible &#8211; we don&#8217;t want CLUE &nbsp;to have=
 to include all the ways in which products might want to implement switchin=
g.
 It would be better to make this more general, but we have no suggestion fo=
r it at present- it does not really match the meaning of a derived capture.=
<o:p></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: I think that if we have t=
he extension for composed as I outlined above we can have similar here.<o:p=
></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">5.</span><span style=3D"font-size:7.0pt">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">As part of the c=
apture description, should we have a parameter NATIVE-ASPECT-RATIO, which i=
ndicates the aspect ratio for the capture if there is one, such as 4:3 for =
a video camera? The reason is that it can help
 rendering.<br>
<br>
Currently it is not possible to tell whether a remote video source is nativ=
ely 4:3 or 16:9, for instance. If we have this, there might usefully be a &=
quot;PREFERRED-ASPECT-RATIO&quot; in the consumer's stream selection messag=
e as part of the &nbsp;(e.g. in &quot;&lt;stream-description&gt;
 / &lt;encoding&gt;&quot;).<o:p></o:p></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: No need, first of all it =
does not work with switched capture that may have different aspect ratios. =
Also this is available in the SDP as well as a way for
 receiver to ask for specific ratio using the SDP image attribute.<br>
EBE&gt; The image attribute (RFC6236) document talks about image resolution=
 and picture aspect ratio, and how they relates to codec specific parameter=
s like h264 max-fs and max-mbps. &nbsp;An attribute can have a single value=
, a list of values or a range.
<o:p></o:p></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">6.</span><span style=3D"font-size:7.0pt">&nbsp; &nbsp;</span><span s=
tyle=3D"font-family:&quot;Courier New&quot;">Multiplex ID &#8211; Value sen=
t by consumer in its stream selection message with the encoding id and capt=
ure
 id. This is the mechanism by which the consumer tells the provider which m=
ultiplex id to generate that stream with, so that the consumer can demultip=
lex the stream correctly when receiving it.
<br>
This is the link between RTP and CLUE as discussed in draft-lennox-clue-rtp=
-usage.<o:p></o:p></span></p>
<p style=3D"margin-bottom:12.0pt"><span style=3D"font-family:&quot;Courier =
New&quot;">&nbsp;&nbsp;&nbsp;&nbsp; Think should probably be re-named.<o:p>=
</o:p></span></p>
<p style=3D"margin-bottom:12.0pt"><span style=3D"font-size:11.0pt;font-fami=
ly:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">&nbsp;&nbsp;&n=
bsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: =
I do not see the need the mapping is to the capture ID which is a numeric v=
alue. See
</span><a href=3D"http://tools.ietf.org/html/draft-even-clue-rtp-mapping-03=
"><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;san=
s-serif&quot;">http://tools.ietf.org/html/draft-even-clue-rtp-mapping-03</s=
pan></a><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&qu=
ot;sans-serif&quot;;color:#1F497D">
<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing">&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;<span style=3D"font-family:&quot;Courier New&quot;">7.</span><s=
pan style=3D"font-size:7.0pt;font-family:&quot;Courier New&quot;">&nbsp;
</span><span style=3D"font-family:&quot;Courier New&quot;">AUDIO-RENDERING-=
ID &#8211; &nbsp;If the notion of an audio rendering tag is<o:p></o:p></spa=
n></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">&nbsp;&nbsp; &nbsp;&nbsp;adopted, this would be needed. It is an ID prov=
ided by the consumer to the<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">&nbsp;&nbsp;&nbsp; &nbsp;provider. The provider uses the tag to associat=
e an audio stream with a video<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">&nbsp;&nbsp;&nbsp;&nbsp;stream.<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D">&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE; su=
ggest to take this out at the moment until we agree if needed and how to ma=
p.<br>
EBE&gt; I assume that matching RTCP SDES CNAME is still the preferred mecha=
nisms for syncing audio and video for lip-sync (as defined in RFC3550). Whe=
n we discussed audio tags last interim it as was presented as a tool for im=
proving directional audio.
</span><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quo=
t;sans-serif&quot;"><o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1F497D"><o:p>&nbsp;</o:p></spa=
n></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">Clearly this doesn&#8217;t cover all the data model issues, but it&#8217=
;s a start.<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;"><o:p>&nbsp;</o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">Thanks,<o:p></o:p></span></p>
<p class=3D"MsoNoSpacing"><span style=3D"font-family:&quot;Courier New&quot=
;">Andy and Allyn<o:p></o:p></span></p>
<p class=3D"MsoNormal"><o:p>&nbsp;</o:p></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;"><o:p>&nbsp;</o:p></span></p>
</div>
</body>
</html>

--_000_FD433719B54BFE41A70641D06F516F130F3CE8B6xmbalnx02ciscoc_--

From allyn@cisco.com  Sat Jul 28 21:09:19 2012
Return-Path: <allyn@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 40F1521F86E8 for <clue@ietfa.amsl.com>; Sat, 28 Jul 2012 21:09:19 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[AWL=0.000, BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id mr4YYTE1HM4Y for <clue@ietfa.amsl.com>; Sat, 28 Jul 2012 21:09:18 -0700 (PDT)
Received: from rcdn-iport-7.cisco.com (rcdn-iport-7.cisco.com [173.37.86.78]) by ietfa.amsl.com (Postfix) with ESMTP id 3CD4221F86D9 for <clue@ietf.org>; Sat, 28 Jul 2012 21:09:18 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=allyn@cisco.com; l=6418; q=dns/txt; s=iport; t=1343534958; x=1344744558; h=from:to:cc:subject:date:message-id:references: in-reply-to:content-transfer-encoding:mime-version; bh=BsYgsjphWmQxVDcLbCfS075Io0OUbRTXIs1wsFDL2WY=; b=hZT2wON0Zg2BGxKjqSvsiSFLvhMOiBuSxY1O+iPpdQ/48H2ZOdFHW1V+ qj/Tgj5eV6emOb8qECxOzi240+6kIJf0FWvV9bkj1rzP/tGpyN4gTqGHy izvcEO9RL5dYYZ3tw4isMtuU07XQiE0Nw7sDiPZhUzmw/r47TuwM6WCTi w=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: AgAFAPm2FFCtJV2d/2dsb2JhbABFDrlRgQeCIAEBAQMBAQEBDwEnNAsFBwQCAQgOAwICAQEBChQJBycLFAkIAQEEDgUIGodlBguZfZ8fi1CGAmADo3CBZoImOQ
X-IronPort-AV: E=Sophos;i="4.77,673,1336348800"; d="scan'208";a="106333339"
Received: from rcdn-core-6.cisco.com ([173.37.93.157]) by rcdn-iport-7.cisco.com with ESMTP; 29 Jul 2012 04:09:17 +0000
Received: from xhc-rcd-x13.cisco.com (xhc-rcd-x13.cisco.com [173.37.183.87]) by rcdn-core-6.cisco.com (8.14.5/8.14.5) with ESMTP id q6T49HJ7014012 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Sun, 29 Jul 2012 04:09:17 GMT
Received: from xmb-aln-x02.cisco.com ([169.254.5.237]) by xhc-rcd-x13.cisco.com ([173.37.183.87]) with mapi id 14.02.0298.004; Sat, 28 Jul 2012 23:09:17 -0500
From: "Allyn Romanow (allyn)" <allyn@cisco.com>
To: Paul Kyzivat <pkyzivat@alum.mit.edu>
Thread-Topic: [clue] a few issues on data model draft
Thread-Index: Ac1kg8WEk0AQoAApS8WeIXXwQa82UAEva90AAP9McQA=
Date: Sun, 29 Jul 2012 04:09:16 +0000
Message-ID: <FD433719B54BFE41A70641D06F516F130F3CE8DC@xmb-aln-x02.cisco.com>
References: <FD433719B54BFE41A70641D06F516F1304001C@xmb-aln-x02.cisco.com> <500DBDB4.1020407@alum.mit.edu>
In-Reply-To: <500DBDB4.1020407@alum.mit.edu>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.21.79.66]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19070.001
x-tm-as-result: No--58.532200-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Cc: "CLUE \(clue@ietf.org\)" <clue@ietf.org>
Subject: Re: [clue] a few issues on data model draft
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Sun, 29 Jul 2012 04:09:19 -0000

Hi Paul,
Please see inline

-----Original Message-----
From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Pau=
l Kyzivat
Sent: Monday, July 23, 2012 2:10 PM
To: clue@ietf.org
Subject: Re: [clue] a few issues on data model draft

Allyn,

[replying as an individual]

On 7/17/12 9:22 PM, Allyn Romanow (allyn) wrote:
> Folks,
>
> There are several issues related to the data model that we'd like us=20
> to consider. These are things that are not exactly the same as in the=20
> framework, to a lesser or greater extent. They were brought up during=20
> the data model presentation at the interim meeting. I wonder if we=20
> could work on resolving them?
>
> List based on draft-romanow-clue-data-model-01
>
> 1.Any problem with using media-type for capture attribute as described=20
> in the draft?

I don't understand this.

IIUC, the intent is to use <CLUE-info> in both directions between provider =
and consumer.

In the advertisement from provider to consumer its clearly necessary to ind=
icate the media type of a capture. That is so regardless of whether the con=
sumer supports it or not.

The message from consumer to provider, for the purpose of choosing and conf=
iguring the captures it wishes to receive, it seems unnecessary to repeat a=
ny of the info from the advertisement that remains invariant, with the exce=
ption of the <capture-id>, which is needed to refer to the advertisement.

AR- I don't understand what you are saying - it sounds like you are talking=
 about messages.. but this is just the data model not how the defined eleme=
nts may or may not be used in messages
Do you not think that audio and video should be called out as media types i=
n CLUE? If not, why not?

> 2.Any problem with using content-type for capture attribute as=20
> described in the draft?

Same comment as for 1 above.

AR - me too, same as above.

> 3.DERIVED for capture attribute- Should we have a variable called=20
> something like DERIVED, that takes various values, one of which is=20
> composed. That would mean that if DERIVED is not =3Dcomposed, that the=20
> capture is not composed, and if it =3Dcomposed then it is. I don't have=20
> another descriptor to propose now, but there could be others either=20
> now or later.
>
> Why this change from the framework? I think it is more general than=20
> composed Boolean, yet semantically similar.
>
> This does not prevent us from having qualifiers to describe composed,=20
> to help distinguish between different composed captures, as has been=20
> discussed. Also, it needs to be possible to have multiple values for=20
> "DERIVED", that is the values should not be mutually exclusive.

> 4. Leave switched as a Boolean as in framework. The proposal in the=20
> draft seems infeasible - we don't want CLUE to have to include all the=20
> ways in which products might want to implement switching. It would be=20
> better to make this more general, but we have no suggestion for it at
> present- it does not really match the meaning of a derived capture.

I don't yet have an opinion on <DERIVED> and <switched>. I'd like to hear w=
hat others have to say.

It seems to me that switching and composition are two forms of mixing video=
. And they are not mutually exclusive. You can mix using one or the other, =
or both. And of course there are multiple ways of composing and switching.

The situation is somewhat the same for audio, but the ways of composing and=
 switching are different. (Switching for audio is probably only dependent o=
n audio. Switching for video is typically also dependent on
audio.)

AR-  I think this is a rhetorical comment, without need for response.

> 5.As part of the capture description, should we have a parameter=20
> NATIVE-ASPECT-RATIO, which indicates the aspect ratio for the capture=20
> if there is one, such as 4:3 for a video camera? The reason is that it=20
> can help rendering.
>
> Currently it is not possible to tell whether a remote video source is=20
> natively 4:3 or 16:9, for instance. If we have this, there might=20
> usefully be a "PREFERRED-ASPECT-RATIO" in the consumer's stream=20
> selection message as part of the (e.g. in "<stream-description> /=20
> <encoding>").
>
> 6.Multiplex ID - Value sent by consumer in its stream selection=20
> message with the encoding id and capture id. This is the mechanism by=20
> which the consumer tells the provider which multiplex id to generate=20
> that stream with, so that the consumer can demultiplex the stream=20
> correctly when receiving it.
> This is the link between RTP and CLUE as discussed in=20
> draft-lennox-clue-rtp-usage.

I look in draft-lennox-clue-rtp-usage and I don't see any mention of the
*consumer* supplying the multiplex ID. It talks of the sender choosing it, =
and the benefit that provides for reusing encodings to multiple receivers.

AR- As in comment to Roni, this should be sorted in the RTP usage discussio=
n, and then the data model can describe as appropriate

> Think should probably be re-named.
>
> 7.AUDIO-RENDERING-ID - If the notion of an audio rendering tag is
>
> adopted, this would be needed. It is an ID provided by the consumer to=20
> the
>
> provider. The provider uses the tag to associate an audio stream with=20
> a video
>
> stream.
>
> Clearly this doesn't cover all the data model issues, but it's a start.

Some other things:

I kind of implied it above, but I question whether it makes sense to use th=
e same document format for both advertisement and configuration. If two for=
mats were specified, then there would certainly be elements that appear in =
both, but not *all* elements.

AR- There seems to be some confusion -- we aren't doing advertisements and =
configurations here. We're doing overall data model. I agree that both mess=
ages won't both use all the defined data elements, of course.


Also, this version has eliminated the indicators of which elements can be r=
epeated, and which are optional. Why?
AR- because these aren't the messages which have to do with usage, just the=
 definitions.. the data model.. not how the elements defined here can be us=
ed.

	Thanks,
	Paul
_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

From pkyzivat@alum.mit.edu  Sat Jul 28 23:23:30 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 373F221F855D for <clue@ietfa.amsl.com>; Sat, 28 Jul 2012 23:23:30 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -0.437
X-Spam-Level: 
X-Spam-Status: No, score=-0.437 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, FH_RELAY_NODNS=1.451, HELO_MISMATCH_NET=0.611,  RDNS_NONE=0.1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id hgD0rtg0D+zr for <clue@ietfa.amsl.com>; Sat, 28 Jul 2012 23:23:29 -0700 (PDT)
Received: from qmta02.westchester.pa.mail.comcast.net (qmta02.westchester.pa.mail.comcast.net [IPv6:2001:558:fe14:43:76:96:62:24]) by ietfa.amsl.com (Postfix) with ESMTP id 1A2A121F845D for <clue@ietf.org>; Sat, 28 Jul 2012 23:23:28 -0700 (PDT)
Received: from omta01.westchester.pa.mail.comcast.net ([76.96.62.11]) by qmta02.westchester.pa.mail.comcast.net with comcast id g6LR1j0010EZKEL516PX3d; Sun, 29 Jul 2012 06:23:31 +0000
Received: from dhcp-40e5.meeting.ietf.org ([IPv6:2001:df8:0:64:81b2:e9a9:6ceb:536f]) by omta01.westchester.pa.mail.comcast.net with comcast id g6Pf1j00108hHtc3M6PfgF; Sun, 29 Jul 2012 06:23:39 +0000
Message-ID: <5014D6F7.7020203@alum.mit.edu>
Date: Sun, 29 Jul 2012 02:23:51 -0400
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: "Allyn Romanow (allyn)" <allyn@cisco.com>
References: <FD433719B54BFE41A70641D06F516F1304001C@xmb-aln-x02.cisco.com> <500DBDB4.1020407@alum.mit.edu> <FD433719B54BFE41A70641D06F516F130F3CE8DC@xmb-aln-x02.cisco.com>
In-Reply-To: <FD433719B54BFE41A70641D06F516F130F3CE8DC@xmb-aln-x02.cisco.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Cc: "CLUE \(clue@ietf.org\)" <clue@ietf.org>
Subject: Re: [clue] a few issues on data model draft
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Sun, 29 Jul 2012 06:23:30 -0000

There seems to be a common theme in some of the comments about the 
relationship of this data model to clue messages.

IIUC, the approach to describing the model was borrowed from XCON, and 
in XCON it describes a *single* XML structured document syntax.

As used here it still seems to be  structured that way. The description 
is hierarchical, so its not clear how one would pick and choose from it 
to construct different messages. *IF* it was a hierarchical document 
with repeated and optional elements, then it would be *possible* to use 
the same document format for advertisements and configuration, but use 
the repeating and optionality to convey different elements in each. But 
IMO that is a BADDDDD approach.

Alternately, we could start with a schema that defines a bunch of 
independent xml elements, and then assemble those into aggregates for 
the different message types. But I don't think the current thing does 
that. If its intended to, then it needs more explanation.

	Thanks,
	Paul (as individual)

On 7/29/12 12:09 AM, Allyn Romanow (allyn) wrote:
> Hi Paul,
> Please see inline
>
> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Paul Kyzivat
> Sent: Monday, July 23, 2012 2:10 PM
> To: clue@ietf.org
> Subject: Re: [clue] a few issues on data model draft
>
> Allyn,
>
> [replying as an individual]
>
> On 7/17/12 9:22 PM, Allyn Romanow (allyn) wrote:
>> Folks,
>>
>> There are several issues related to the data model that we'd like us
>> to consider. These are things that are not exactly the same as in the
>> framework, to a lesser or greater extent. They were brought up during
>> the data model presentation at the interim meeting. I wonder if we
>> could work on resolving them?
>>
>> List based on draft-romanow-clue-data-model-01
>>
>> 1.Any problem with using media-type for capture attribute as described
>> in the draft?
>
> I don't understand this.
>
> IIUC, the intent is to use<CLUE-info>  in both directions between provider and consumer.
>
> In the advertisement from provider to consumer its clearly necessary to indicate the media type of a capture. That is so regardless of whether the consumer supports it or not.
>
> The message from consumer to provider, for the purpose of choosing and configuring the captures it wishes to receive, it seems unnecessary to repeat any of the info from the advertisement that remains invariant, with the exception of the<capture-id>, which is needed to refer to the advertisement.
>
> AR- I don't understand what you are saying - it sounds like you are talking about messages.. but this is just the data model not how the defined elements may or may not be used in messages
> Do you not think that audio and video should be called out as media types in CLUE? If not, why not?
>
>> 2.Any problem with using content-type for capture attribute as
>> described in the draft?
>
> Same comment as for 1 above.
>
> AR - me too, same as above.
>
>> 3.DERIVED for capture attribute- Should we have a variable called
>> something like DERIVED, that takes various values, one of which is
>> composed. That would mean that if DERIVED is not =composed, that the
>> capture is not composed, and if it =composed then it is. I don't have
>> another descriptor to propose now, but there could be others either
>> now or later.
>>
>> Why this change from the framework? I think it is more general than
>> composed Boolean, yet semantically similar.
>>
>> This does not prevent us from having qualifiers to describe composed,
>> to help distinguish between different composed captures, as has been
>> discussed. Also, it needs to be possible to have multiple values for
>> "DERIVED", that is the values should not be mutually exclusive.
>
>> 4. Leave switched as a Boolean as in framework. The proposal in the
>> draft seems infeasible - we don't want CLUE to have to include all the
>> ways in which products might want to implement switching. It would be
>> better to make this more general, but we have no suggestion for it at
>> present- it does not really match the meaning of a derived capture.
>
> I don't yet have an opinion on<DERIVED>  and<switched>. I'd like to hear what others have to say.
>
> It seems to me that switching and composition are two forms of mixing video. And they are not mutually exclusive. You can mix using one or the other, or both. And of course there are multiple ways of composing and switching.
>
> The situation is somewhat the same for audio, but the ways of composing and switching are different. (Switching for audio is probably only dependent on audio. Switching for video is typically also dependent on
> audio.)
>
> AR-  I think this is a rhetorical comment, without need for response.
>
>> 5.As part of the capture description, should we have a parameter
>> NATIVE-ASPECT-RATIO, which indicates the aspect ratio for the capture
>> if there is one, such as 4:3 for a video camera? The reason is that it
>> can help rendering.
>>
>> Currently it is not possible to tell whether a remote video source is
>> natively 4:3 or 16:9, for instance. If we have this, there might
>> usefully be a "PREFERRED-ASPECT-RATIO" in the consumer's stream
>> selection message as part of the (e.g. in "<stream-description>  /
>> <encoding>").
>>
>> 6.Multiplex ID - Value sent by consumer in its stream selection
>> message with the encoding id and capture id. This is the mechanism by
>> which the consumer tells the provider which multiplex id to generate
>> that stream with, so that the consumer can demultiplex the stream
>> correctly when receiving it.
>> This is the link between RTP and CLUE as discussed in
>> draft-lennox-clue-rtp-usage.
>
> I look in draft-lennox-clue-rtp-usage and I don't see any mention of the
> *consumer* supplying the multiplex ID. It talks of the sender choosing it, and the benefit that provides for reusing encodings to multiple receivers.
>
> AR- As in comment to Roni, this should be sorted in the RTP usage discussion, and then the data model can describe as appropriate
>
>> Think should probably be re-named.
>>
>> 7.AUDIO-RENDERING-ID - If the notion of an audio rendering tag is
>>
>> adopted, this would be needed. It is an ID provided by the consumer to
>> the
>>
>> provider. The provider uses the tag to associate an audio stream with
>> a video
>>
>> stream.
>>
>> Clearly this doesn't cover all the data model issues, but it's a start.
>
> Some other things:
>
> I kind of implied it above, but I question whether it makes sense to use the same document format for both advertisement and configuration. If two formats were specified, then there would certainly be elements that appear in both, but not *all* elements.
>
> AR- There seems to be some confusion -- we aren't doing advertisements and configurations here. We're doing overall data model. I agree that both messages won't both use all the defined data elements, of course.
>
>
> Also, this version has eliminated the indicators of which elements can be repeated, and which are optional. Why?
> AR- because these aren't the messages which have to do with usage, just the definitions.. the data model.. not how the elements defined here can be used.
>
> 	Thanks,
> 	Paul
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From mary.ietf.barnes@gmail.com  Sun Jul 29 14:20:35 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id E696721F851C for <clue@ietfa.amsl.com>; Sun, 29 Jul 2012 14:20:35 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -103.533
X-Spam-Level: 
X-Spam-Status: No, score=-103.533 tagged_above=-999 required=5 tests=[AWL=0.065, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 5lCMrklXU4LI for <clue@ietfa.amsl.com>; Sun, 29 Jul 2012 14:20:35 -0700 (PDT)
Received: from mail-lb0-f172.google.com (mail-lb0-f172.google.com [209.85.217.172]) by ietfa.amsl.com (Postfix) with ESMTP id 11FDB21F851B for <clue@ietf.org>; Sun, 29 Jul 2012 14:20:34 -0700 (PDT)
Received: by lbbgo11 with SMTP id go11so3284895lbb.31 for <clue@ietf.org>; Sun, 29 Jul 2012 14:20:34 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:date:message-id:subject:from:to:content-type; bh=L8RcmORAbzlvW8Mldisi09YXScovkKu7ZGvHNHm95Wk=; b=T228hSZgtJx/v04X7xi/XwmvEAFrqKvgFL1V6txq9mK7XkbLQwa++8epPSvacEH8I3 ijKh+C3uSERU7cES5ux2BQqxD8kTFer8zGh8QYsralByw4y5tJ8iNU/NSXc74Suc2uwu yjv9BW8lJNWIax/+pjmj7pGJPkarPcLWZ/c3vy3nNiN9rj8sbTZwnFHJI4et4GczlC4G EifTMBcRoVGmzRUiSiZkg9TEwULAX9ZfdDG+7lTH6pHRWHM7ATxZqEUCrwQiSoWKrRPZ FsUYXlZ50qiOi8iCAFa2Yeg8RZmiMXzBYv2Y7w59+cOMiOGaFteSA0qKRl7FyRRw+BA3 MMTw==
MIME-Version: 1.0
Received: by 10.152.48.37 with SMTP id i5mr9325584lan.36.1343596833894; Sun, 29 Jul 2012 14:20:33 -0700 (PDT)
Received: by 10.112.85.196 with HTTP; Sun, 29 Jul 2012 14:20:33 -0700 (PDT)
Date: Sun, 29 Jul 2012 16:20:33 -0500
Message-ID: <CAHBDyN7Yp_PZMjrRUe67MYc7-cHmoxQMiNNK2K+B4S5ba7pruw@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: CLUE <clue@ietf.org>
Content-Type: multipart/alternative; boundary=bcaec5523980016f4904c5fe842e
Subject: [clue] Charts for tomorrow's tutorial (Room Georgia A @ 11:30-13:00)
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Sun, 29 Jul 2012 21:20:36 -0000

--bcaec5523980016f4904c5fe842e
Content-Type: text/plain; charset=ISO-8859-1

Hi all,

I have uploaded the final version of the presentation for the tutorial
tomorrow during lunch (in Georgia A).
https://datatracker.ietf.org/meeting/84/materials.html

Authors/presenters - please double check that I have correctly incorporated
your most recent versions.

Regards,
Mary.

--bcaec5523980016f4904c5fe842e
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

Hi all,<div><br></div><div>I have uploaded the final version of the present=
ation for the tutorial tomorrow during lunch (in Georgia A).=A0<a href=3D"h=
ttps://datatracker.ietf.org/meeting/84/materials.html">https://datatracker.=
ietf.org/meeting/84/materials.html</a></div>
<div><br></div><div>Authors/presenters - please double check that I have co=
rrectly incorporated your most recent versions.</div><div><br></div><div>Re=
gards,</div><div>Mary.=A0</div>

--bcaec5523980016f4904c5fe842e--

From ietf@meetecho.com  Mon Jul 30 00:25:19 2012
Return-Path: <ietf@meetecho.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id BDBAE11E80F1 for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 00:25:19 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: 0.488
X-Spam-Level: 
X-Spam-Status: No, score=0.488 tagged_above=-999 required=5 tests=[AWL=1.207,  BAYES_00=-2.599, HELO_EQ_IT=0.635, HOST_EQ_IT=1.245]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id BRIJqjPxJBRI for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 00:25:19 -0700 (PDT)
Received: from smtplq01.aruba.it (smtplq-out5.aruba.it [62.149.158.25]) by ietfa.amsl.com (Postfix) with SMTP id 7E40D11E80BA for <clue@ietf.org>; Mon, 30 Jul 2012 00:25:18 -0700 (PDT)
Received: (qmail 7375 invoked by uid 89); 30 Jul 2012 07:25:15 -0000
Received: from unknown (HELO smtp7.aruba.it) (62.149.158.227) by smtplq01.aruba.it with SMTP; 30 Jul 2012 07:25:15 -0000
Received: (qmail 2965 invoked by uid 89); 30 Jul 2012 07:25:15 -0000
Received: from unknown (HELO ?172.16.1.123?) (alex@meetecho.com@209.82.28.249) by smtp7.ad.aruba.it with ESMTPA; 30 Jul 2012 07:25:15 -0000
Message-ID: <501636C9.5030004@meetecho.com>
Date: Mon, 30 Jul 2012 09:24:57 +0200
From: Meetecho IETF support <ietf@meetecho.com>
User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:14.0) Gecko/20120713 Thunderbird/14.0
MIME-Version: 1.0
To: clue@ietf.org
Content-Type: text/plain; charset=ISO-8859-15; format=flowed
Content-Transfer-Encoding: 7bit
X-Spam-Rating: smtplq01.aruba.it 1.6.2 0/1000/N
Subject: [clue] Meetecho support for CLUE
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 30 Jul 2012 07:25:19 -0000

Hi all,

a virtual room has been reserved on the Meetecho system for Monday's 
CLUE WG meeting session.

Access to the on-line session (including audio and video streams) will 
be available at:
http://www.meetecho.com/ietf84/clue

The Meetecho session automatically logs you into the standard IETF 
jabber room. So, from there, you can have an integrated experience 
involving all media and allowing you to interact with the room.
Remote participants might also send their own voice to the room, if they 
want to, by either calling a landline phone number, or using our 
embedded VoIP applet (in this last case they are *strongly* advised to 
use a headset).

A tutorial of interactivity features of the tool can be found at:
http://www.meetecho.com/ietf84

Cheers,
the Meetecho team

-- 
Meetecho s.r.l.
Web Conferencing and Collaboration Tools
www.meetecho.com

From apeppere@gmail.com  Mon Jul 30 06:22:31 2012
Return-Path: <apeppere@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 7AD0D21F8507 for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 06:22:31 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.454
X-Spam-Level: 
X-Spam-Status: No, score=-2.454 tagged_above=-999 required=5 tests=[AWL=-0.728, BAYES_00=-2.599, FRT_BEFORE=1.272, HTML_MESSAGE=0.001, J_CHICKENPOX_22=0.6, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id PKlgz5BGdOQy for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 06:22:30 -0700 (PDT)
Received: from mail-vb0-f44.google.com (mail-vb0-f44.google.com [209.85.212.44]) by ietfa.amsl.com (Postfix) with ESMTP id 1488C21F8710 for <clue@ietf.org>; Mon, 30 Jul 2012 06:22:30 -0700 (PDT)
Received: by vbbez10 with SMTP id ez10so4935717vbb.31 for <clue@ietf.org>; Mon, 30 Jul 2012 06:22:29 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=MRo7cz4ZrVBvLqy8bs8m8n20YxeCff1sRBcEmnOiFtA=; b=Zqg+OR91sKws6wwqmAFwdeO5Mf8FS8+26XXz7Ze2s+HhbB56b+bajmJfoUX4i6FuGe Y0CnOvQBnlm59IwC9TFbB1hVaKpiDpCvQGFj7Pwys3PLARkiP8t15ijNv67DWzYYkxE7 PYGOi87vbMBbYZDeFbwHq+yclpVKTrUnuYdVcMdWcQpaM6JapntF0xGs2rQRwMd/9MuA cA78xukc0J3R5u3fCjPzs+Vi4tpQr2tfmYSlj7KL0J41hV0U1ZD+AxJgjF0cP+If0NNe OoTFyiXls8DW0cPEBJ3Yah1eF86erZ2kZTIcH+CHMTTWG6DCeCHge4DfhbBjhEdPpAhs DgzA==
MIME-Version: 1.0
Received: by 10.220.229.198 with SMTP id jj6mr10590882vcb.38.1343654549518; Mon, 30 Jul 2012 06:22:29 -0700 (PDT)
Received: by 10.220.36.1 with HTTP; Mon, 30 Jul 2012 06:22:29 -0700 (PDT)
In-Reply-To: <FD433719B54BFE41A70641D06F516F130F3CE855@xmb-aln-x02.cisco.com>
References: <9AC2C4348FD86B4BB1F8FA9C5E3A5EDC07A3819F@xmb-sjc-221.amer.cisco.com> <4FE2A361.6080501@nteczone.com> <FD433719B54BFE41A70641D06F516F130F3CE855@xmb-aln-x02.cisco.com>
Date: Mon, 30 Jul 2012 14:22:29 +0100
Message-ID: <CAA86=sOwCMtguEQgn2ZN2m4=RmXT1PjoBdfAhwHe3SySjtvfVQ@mail.gmail.com>
From: Andy Pepperell <apeppere@gmail.com>
To: "Allyn Romanow (allyn)" <allyn@cisco.com>
Content-Type: multipart/alternative; boundary=14dae9cdcb451ff85604c60bf46e
Cc: "clue@ietf.org" <clue@ietf.org>
Subject: Re: [clue] FW: New Version Notification for draft-romanow-clue-data-model-01.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 30 Jul 2012 13:22:31 -0000

--14dae9cdcb451ff85604c60bf46e
Content-Type: text/plain; charset=ISO-8859-1

>>o Sect. 4.3 <capture-id> - This indicates that the alphanumeric value is
>>unique. Within what scope is it unique? i.e. the framework uses the ACx
>>and VCx conventions. Where x could be the same value for both audio and
>>video. So is the ID unique to an endpoint / capture scene / media etc?
>>Maybe we want to keep the alphanumeric convention AC,VC etc?
>AR- I'm going to let Andy respond to this

Thanks Allyn (I think..!).

Christian,

The truth is that there's no fixed plan for this as yet; partly this is
because depending on other pending CLUE decisions, the requirements for
this may change - for instance there are RTP drafts out there that talk
about the capture ID being in RTP packet [header]s, which might constrain
its range and nature (especially if it were at some point required to form
an SSRC etc.).

My take though is that the capture IDs should be limited in scope to the
provider advertisement and consumer stream choice messages - this being so
there's no requirement for them to be numeric or be limited to some pre-set
range. I think even given this though, our original thinking was that
they'd be simple numeric values (e.g. "1" -> left camera media capture, "2"
-> right camera media capture, "3" -> pre-mixed audio stream etc.) within,
say, a 32 bit range, and the "ACn" / "VCn" notation in the framework etc.
is just for clarity.

We were thinking that the uniqueness would span all media captures declared
by a provider in its advertisement - partly this is because there may be
some constructs that span capture scenes and / or span audio and video (for
instance, simultaneity constraints as expressed by the provider
advertisement) and partly this was with one eye to future extensibility to
media captures of types other than simple audio or video (where it might be
undesirable or awkward to have to come up with new additional alphanumeric
prefixes).

Hope this helps,

Andy




On Sun, Jul 29, 2012 at 4:19 AM, Allyn Romanow (allyn) <allyn@cisco.com>wrote:

>
>
> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
> Christian Groves
> Sent: Wednesday, June 20, 2012 9:30 PM
> To: clue@ietf.org
> Subject: Re: [clue] FW: New Version Notification for
> draft-romanow-clue-data-model-01.txt
>
> Hello Allyn and Andy,
>
> Post the interim meeting I've had a bit of a closer look at the data model
> and I have a few comments/questions:
>
>
> o Section 4 - Perhaps the numbering in section 4 could follow the
> hierarchy of the XML scheme. i.e. rather than <capture-description>
> being at level 4.2 it could be 4.1.1. It might make it easier for
> readers to follow.
> AR- Okay
>
> o Sect. 4.3 <capture-id> - This indicates that the alphanumeric value is
> unique. Within what scope is it unique? i.e. the framework uses the ACx
> and VCx conventions. Where x could be the same value for both audio and
> video. So is the ID unique to an endpoint / capture scene / media etc?
> Maybe we want to keep the alphanumeric convention AC,VC etc?
>
> AR- I'm going to let Andy respond to this
>
> o Sect. 4.4 - If we adopted the naming scheme from the framework perhaps
> this element is redundant? Alternatively could audio/video result in
> another branch? i.e. be sub-elements all the parameters relevant to
> audio would be under it and all the video parameters would be under the
> video branch.
>  AR- this seems a bit more complicated to me
>
> o Sect. 4.5 - The description seems to only focus on video. Wouldn't an
> audio feed generated by a computer also be valid?
>
> AR- does this need to treated differently and therefore need to be
> distinguished?
>
> o Sect. 4.8.1 - The framework calls this "Are of capture". We probably
> should be consistent.
>
> AR- I don't believe that the data model elements should need to name
> things the way the framework does. You can make the framework doc
> nomenclature match the data model at the end of the process, if people want
> to do that.
> The framework describes the concepts and was done prior to the data model
> which is a somewhat formal specification of data elements. I wouldn't
> expect the names to be exactly the same.
>
> o Sect. 4.8.3 - FYI, in ITU-T q5/16 at the last meeting a proposal was
> received to add this to the parameters document. The proposal wasn't
> supported as it was felt more information was necessary.
>
> AR- that is interesting. What is your opinion on whether it is useful in
> CLUE?
>
> o Sect. 4.12 - It says "...When there are multiple entries of the same
> media type in the capture scene,...". I'm not sure what the significance
> is of "the same media type". According to the text below it entries can
> either be a list of audio or video, so they'll always be the same media
> type.
>
> AR- I'm not sure what the confusion is, but I get the message that the
> statement isn't clear
> How would it be to say:
>          Each capture entry represents the capture scene, though with
> different captures. For example, if there are 6 participants in the scene,
>        one entry may be for 3 captures, each of which sees 2 participants;
> and another capture entry may be for one switched capture, where    the
> video and audio depends on an algorithm, such as most recent speaker.
>
> o Sect. 4.12.3.2 Nit missing opening "<".
>
> o Sect. 4.12 - It would be good to align the names with the framework.
> AR- see above
>
> Regards, Christian
>
>
> On 7/06/2012 3:43 AM, Allyn Romanow (allyn) wrote:
> > Hi,
> > I've updated the data model draft to correct an error. The original
> draft had characters suggesting that elements be mandatory or repeated.
> This is really appropriate for the messages but not for the basic
> information model. The current draft follows the example of XCON RFC 6501
> in saying only that the top level element, in our case, CLUE-info, is
> mandatory.
> >
> > Regards,
> > Ally
> >
> > -----Original Message-----
> > From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
> > Sent: Wednesday, June 06, 2012 10:38 AM
> > To: Allyn Romanow (allyn)
> > Cc: andy.pepperell@silverflare.com
> > Subject: New Version Notification for
> draft-romanow-clue-data-model-01.txt
> >
> > A new version of I-D, draft-romanow-clue-data-model-01.txt has been
> successfully submitted by Allyn Romanow and posted to the IETF repository.
> >
> > Filename:      draft-romanow-clue-data-model
> > Revision:      01
> > Title:                 Data model for the CLUE Framework
> > Creation date:         2012-06-06
> > WG ID:                 Individual Submission
> > Number of pages: 11
> >
> > Abstract:
> >     This draft is for discussion in the CLUE working group.  It proposes
> >     a data model for the CLUE Framework.
> >
> >
> >
> >
> > The IETF Secretariat
> > _______________________________________________
> > clue mailing list
> > clue@ietf.org
> > https://www.ietf.org/mailman/listinfo/clue
> >
>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>

--14dae9cdcb451ff85604c60bf46e
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

&gt;&gt;o Sect. 4.3 &lt;capture-id&gt; - This indicates that the alphanumer=
ic value is<br>
&gt;&gt;unique. Within what scope is it unique? i.e. the framework uses the=
 ACx<br>
&gt;&gt;and VCx conventions. Where x could be the same value for both audio=
 and<br>
&gt;&gt;video. So is the ID unique to an endpoint / capture scene / media e=
tc?<br>
&gt;&gt;Maybe we want to keep the alphanumeric convention AC,VC etc?<br>

&gt;AR- I&#39;m going to let Andy respond to this<br><br>Thanks Allyn (I th=
ink..!).<br><br>Christian,<br><br>The truth is that there&#39;s no fixed pl=
an for this as yet; partly this is because depending on other pending CLUE =
decisions, the requirements for this may change - for instance there are RT=
P drafts out there that talk about the capture ID being in RTP packet [head=
er]s, which might constrain its range and nature (especially if it were at =
some point required to form an SSRC etc.).<br>
<br>My take though is that the capture IDs should be limited in scope to th=
e provider advertisement and consumer stream choice messages - this being s=
o there&#39;s no requirement for them to be numeric or be limited to some p=
re-set range. I think even given this though, our original thinking was tha=
t they&#39;d be simple numeric values (e.g. &quot;1&quot; -&gt; left camera=
 media capture, &quot;2&quot; -&gt; right camera media capture, &quot;3&quo=
t; -&gt; pre-mixed audio stream etc.) within, say, a 32 bit range, and the =
&quot;ACn&quot; / &quot;VCn&quot; notation in the framework etc. is just fo=
r clarity.<br>
<br>We were thinking that the uniqueness would span all media captures decl=
ared by a provider in its advertisement - partly this is because there may =
be some constructs that span capture scenes and / or span audio and video (=
for instance, simultaneity constraints as expressed by the provider adverti=
sement) and partly this was with one eye to future extensibility to media c=
aptures of types other than simple audio or video (where it might be undesi=
rable or awkward to have to come up with new additional alphanumeric prefix=
es). <br>
<br>Hope this helps,<br><br>Andy<br><br>
<br><br><br><div class=3D"gmail_quote">On Sun, Jul 29, 2012 at 4:19 AM, All=
yn Romanow (allyn) <span dir=3D"ltr">&lt;<a href=3D"mailto:allyn@cisco.com"=
 target=3D"_blank">allyn@cisco.com</a>&gt;</span> wrote:<br><blockquote cla=
ss=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;pa=
dding-left:1ex">
<div class=3D"im"><br>
<br>
-----Original Message-----<br>
From: <a href=3D"mailto:clue-bounces@ietf.org">clue-bounces@ietf.org</a> [m=
ailto:<a href=3D"mailto:clue-bounces@ietf.org">clue-bounces@ietf.org</a>] O=
n Behalf Of Christian Groves<br>
Sent: Wednesday, June 20, 2012 9:30 PM<br>
To: <a href=3D"mailto:clue@ietf.org">clue@ietf.org</a><br>
Subject: Re: [clue] FW: New Version Notification for draft-romanow-clue-dat=
a-model-01.txt<br>
<br>
Hello Allyn and Andy,<br>
<br>
Post the interim meeting I&#39;ve had a bit of a closer look at the data mo=
del and I have a few comments/questions:<br>
<br>
<br>
o Section 4 - Perhaps the numbering in section 4 could follow the<br>
hierarchy of the XML scheme. i.e. rather than &lt;capture-description&gt;<b=
r>
being at level 4.2 it could be 4.1.1. It might make it easier for<br>
readers to follow.<br>
</div>AR- Okay<br>
<div class=3D"im"><br>
o Sect. 4.3 &lt;capture-id&gt; - This indicates that the alphanumeric value=
 is<br>
unique. Within what scope is it unique? i.e. the framework uses the ACx<br>
and VCx conventions. Where x could be the same value for both audio and<br>
video. So is the ID unique to an endpoint / capture scene / media etc?<br>
Maybe we want to keep the alphanumeric convention AC,VC etc?<br>
<br>
</div>AR- I&#39;m going to let Andy respond to this<br>
<div class=3D"im"><br>
o Sect. 4.4 - If we adopted the naming scheme from the framework perhaps<br=
>
this element is redundant? Alternatively could audio/video result in<br>
another branch? i.e. be sub-elements all the parameters relevant to<br>
audio would be under it and all the video parameters would be under the<br>
video branch.<br>
</div>=A0AR- this seems a bit more complicated to me<br>
<div class=3D"im"><br>
o Sect. 4.5 - The description seems to only focus on video. Wouldn&#39;t an=
<br>
audio feed generated by a computer also be valid?<br>
<br>
</div>AR- does this need to treated differently and therefore need to be di=
stinguished?<br>
<div class=3D"im"><br>
o Sect. 4.8.1 - The framework calls this &quot;Are of capture&quot;. We pro=
bably<br>
should be consistent.<br>
<br>
</div>AR- I don&#39;t believe that the data model elements should need to n=
ame things the way the framework does. You can make the framework doc nomen=
clature match the data model at the end of the process, if people want to d=
o that.<br>

The framework describes the concepts and was done prior to the data model w=
hich is a somewhat formal specification of data elements. I wouldn&#39;t ex=
pect the names to be exactly the same.<br>
<div class=3D"im"><br>
o Sect. 4.8.3 - FYI, in ITU-T q5/16 at the last meeting a proposal was<br>
received to add this to the parameters document. The proposal wasn&#39;t<br=
>
supported as it was felt more information was necessary.<br>
<br>
</div>AR- that is interesting. What is your opinion on whether it is useful=
 in CLUE?<br>
<div class=3D"im"><br>
o Sect. 4.12 - It says &quot;...When there are multiple entries of the same=
<br>
media type in the capture scene,...&quot;. I&#39;m not sure what the signif=
icance<br>
is of &quot;the same media type&quot;. According to the text below it entri=
es can<br>
either be a list of audio or video, so they&#39;ll always be the same media=
<br>
type.<br>
<br>
</div>AR- I&#39;m not sure what the confusion is, but I get the message tha=
t the statement isn&#39;t clear<br>
How would it be to say:<br>
=A0 =A0 =A0 =A0 =A0Each capture entry represents the capture scene, though =
with different captures. For example, if there are 6 participants in the sc=
ene, =A0 =A0 =A0 =A0one entry may be for 3 captures, each of which sees 2 p=
articipants; and another capture entry may be for one switched capture, whe=
re =A0 =A0the video and audio depends on an algorithm, such as most recent =
speaker.<br>

<div class=3D"im"><br>
o Sect. 4.12.3.2 Nit missing opening &quot;&lt;&quot;.<br>
<br>
o Sect. 4.12 - It would be good to align the names with the framework.<br>
</div>AR- see above<br>
<div class=3D"HOEnZb"><div class=3D"h5"><br>
Regards, Christian<br>
<br>
<br>
On 7/06/2012 3:43 AM, Allyn Romanow (allyn) wrote:<br>
&gt; Hi,<br>
&gt; I&#39;ve updated the data model draft to correct an error. The origina=
l draft had characters suggesting that elements be mandatory or repeated. T=
his is really appropriate for the messages but not for the basic informatio=
n model. The current draft follows the example of XCON RFC 6501 in saying o=
nly that the top level element, in our case, CLUE-info, is mandatory.<br>

&gt;<br>
&gt; Regards,<br>
&gt; Ally<br>
&gt;<br>
&gt; -----Original Message-----<br>
&gt; From: <a href=3D"mailto:internet-drafts@ietf.org">internet-drafts@ietf=
.org</a> [mailto:<a href=3D"mailto:internet-drafts@ietf.org">internet-draft=
s@ietf.org</a>]<br>
&gt; Sent: Wednesday, June 06, 2012 10:38 AM<br>
&gt; To: Allyn Romanow (allyn)<br>
&gt; Cc: <a href=3D"mailto:andy.pepperell@silverflare.com">andy.pepperell@s=
ilverflare.com</a><br>
&gt; Subject: New Version Notification for draft-romanow-clue-data-model-01=
.txt<br>
&gt;<br>
&gt; A new version of I-D, draft-romanow-clue-data-model-01.txt has been su=
ccessfully submitted by Allyn Romanow and posted to the IETF repository.<br=
>
&gt;<br>
&gt; Filename: =A0 =A0 =A0draft-romanow-clue-data-model<br>
&gt; Revision: =A0 =A0 =A001<br>
&gt; Title: =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 Data model for the CLUE Framewo=
rk<br>
&gt; Creation date: =A0 =A0 =A0 =A0 2012-06-06<br>
&gt; WG ID: =A0 =A0 =A0 =A0 =A0 =A0 =A0 =A0 Individual Submission<br>
&gt; Number of pages: 11<br>
&gt;<br>
&gt; Abstract:<br>
&gt; =A0 =A0 This draft is for discussion in the CLUE working group. =A0It =
proposes<br>
&gt; =A0 =A0 a data model for the CLUE Framework.<br>
&gt;<br>
&gt;<br>
&gt;<br>
&gt;<br>
&gt; The IETF Secretariat<br>
&gt; _______________________________________________<br>
&gt; clue mailing list<br>
&gt; <a href=3D"mailto:clue@ietf.org">clue@ietf.org</a><br>
&gt; <a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blan=
k">https://www.ietf.org/mailman/listinfo/clue</a><br>
&gt;<br>
<br>
<br>
_______________________________________________<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/listinfo/clue</a><br>
</div></div></blockquote></div><br>

--14dae9cdcb451ff85604c60bf46e--

From espeberg@cisco.com  Mon Jul 30 06:46:16 2012
Return-Path: <espeberg@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 21B5721F86DD for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 06:46:16 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[AWL=0.000, BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id gBClu+7K+AXr for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 06:46:12 -0700 (PDT)
Received: from rcdn-iport-8.cisco.com (rcdn-iport-8.cisco.com [173.37.86.79]) by ietfa.amsl.com (Postfix) with ESMTP id D3EFC21F86B9 for <clue@ietf.org>; Mon, 30 Jul 2012 06:46:11 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=espeberg@cisco.com; l=7568; q=dns/txt; s=iport; t=1343655972; x=1344865572; h=from:to:subject:date:message-id:references:in-reply-to: content-transfer-encoding:mime-version; bh=2Dxs2hrbnWU+7fyLmzTgZFytvlt3Uy87KI4dfDSZOgw=; b=BwCts8HRLh9aE+xtQOSIfDaxHFC7+oRZUi/99ucTQuj7QpujWqsi9GMC Q+VIuCibVY+e0ejJGRE47SX5s2h8TP+5GIs1ADRZ9/iFOshZTpdzfG+Fg dK1nrS+gmAv7Sgx3pDAsw+T1qZ4lUeFFtel0/cChu9RAR1dDzz3co1/xW Q=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: AgAFAMuPFlCtJV2b/2dsb2JhbAA7CrlWgQeCIAEBAQMBAQEBDwEnLgYGAQIOBAIBCBEEAQEBChQJBycLFAgBCAIEARIIARmHZQYLmlefYotQCgaFcmADll2NE4Fmgl8
X-IronPort-AV: E=Sophos;i="4.77,679,1336348800"; d="scan'208";a="106619111"
Received: from rcdn-core-4.cisco.com ([173.37.93.155]) by rcdn-iport-8.cisco.com with ESMTP; 30 Jul 2012 13:46:03 +0000
Received: from xhc-rcd-x06.cisco.com (xhc-rcd-x06.cisco.com [173.37.183.80]) by rcdn-core-4.cisco.com (8.14.5/8.14.5) with ESMTP id q6UDk3Qg024055 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Mon, 30 Jul 2012 13:46:03 GMT
Received: from xmb-rcd-x11.cisco.com ([169.254.1.151]) by xhc-rcd-x06.cisco.com ([173.37.183.80]) with mapi id 14.02.0298.004; Mon, 30 Jul 2012 08:46:03 -0500
From: "Espen Berger (espeberg)" <espeberg@cisco.com>
To: Christian Groves <Christian.Groves@nteczone.com>, "clue@ietf.org" <clue@ietf.org>
Thread-Topic: [clue] FW: New Version	Notification	for draft-xiao-clue-telemedical-use-case-00.txt
Thread-Index: AQHNazKSWZOyYSj0nEqDRCIV3f5Ok5c84a+AgAT5MEA=
Date: Mon, 30 Jul 2012 13:46:01 +0000
Message-ID: <E8F5F2C7B2623641BD9ABF0B622D726D0F4A162E@xmb-rcd-x11.cisco.com>
References: <8A527E21B95EF842BC0E952D6E82297747DA1D4A@szxeml527-mbx.china.huawei.com> <E8F5F2C7B2623641BD9ABF0B622D726D023AEA@xmb-rcd-x11.cisco.com> <8A527E21B95EF842BC0E952D6E82297747DA1F8A@szxeml527-mbx.china.huawei.com> <50114600.3050406@alum.mit.edu> <50121C0B.5080100@nteczone.com>
In-Reply-To: <50121C0B.5080100@nteczone.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.147.112.72]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19072.005
x-tm-as-result: No--57.928600-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] FW: New Version	Notification	for	draft-xiao-clue-telemedical-use-case-00.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 30 Jul 2012 13:46:16 -0000

Hi Christian=20

If a consumer want to learn about information that's on the level of " like=
 "Teleconference Room 2, Beijing"  I think its natural to look into confere=
nce event package or XCON.=20

In the medical case the description attribute will have values like "x-ray"=
 or "CT-scan", "Operation", which is needed since other captures attributes=
 will have the same values.=20

-Espen=20


-----Original Message-----
From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Chr=
istian Groves
Sent: 27. juli 2012 06:42
To: clue@ietf.org
Subject: Re: [clue] FW: New Version Notification for draft-xiao-clue-teleme=
dical-use-case-00.txt

Hello Paul,

I think have a enumeration for very specific capabilities woul dbe hard but=
 I think there may be some common ones to many conferencing / telepresence =
scenarios. In the discussion of this topic I think that perhaps the "descri=
ption" attribute we have today may be too broad. I was thinking it would be=
 used for something like "Teleconference Room 2, Beijing" but it seems ther=
e's proposals to use this for functional level things like "speaker etc".

Regards, Christian

On 26/07/2012 11:28 PM, Paul Kyzivat wrote:
> [as individual]
>
> On 7/26/12 2:51 AM, Xiaojing wrote:
>> Hi Espen,
>>
>> Please see my response inline.
>>
>> Regards,
>> Lennard
>>
>> -----Original Message-----
>> From: Espen Berger (espeberg) [mailto:espeberg@cisco.com]
>> Sent: Wednesday, July 25, 2012 11:19 PM
>> To: Xiaojing; clue@ietf.org
>> Subject: RE: [clue] FW: New Version Notification for=20
>> draft-xiao-clue-telemedical-use-case-00.txt
>>
>> Thanks for sharing the use case. I had a similar use case in mind,=20
>> advanced lecture type calls mainly focusing on P2P with multiple=20
>> presentation streams.
>>
>> My assumption for an advanced use case like this is each capture has=20
>> at least a description field, e.g. 'x-ray' or  'CT-scan', that can be=20
>> used by a manual operator to start and stop what to receive. This use=20
>> case explains why we need descriptions for both capture-scenes and=20
>> captures.
>>
>> [Xiao Jing] I share the same thinking on the description field with=20
>> you. The different presentations need to be identified from each=20
>> other. A straightforward way is to add description tags to them.
>
> I think a textual description is the place to start.
> It would be hard to start defining a machine-processable enumeration=20
> of application-specific categories.
>
> We already have the proposal for such a mechanism.
> This use case simply reinforces the need for that mechanism.
>
>> Questions
>> * Do you assume manual or automatic selection of presentation streams?
>> [Xiao Jing] In my initial thinking, in the use case it is the surgeon=20
>> and endpoint users who decide which presentation streams to be sent=20
>> and displayed. Thus it is necessary to identify the presentations.
>> * How do you decide which presentation streams are important? What if=20
>> you offer three presentation streams and I can only receive one, how=20
>> do I decide which of them to receive?
>> [Xiao Jing] I assume that the users can differentiate the streams and=20
>> then decide which to receive. In this case, if the user knows exactly=20
>> what the stream is about, he can decide without additional=20
>> information from the provider. But I also think we can introduced=20
>> kind of priority concept into it. The "content" attribute could be a=20
>> good place to include this idea. In my memory, Christian and Paul are=20
>> working on this issue, and I'll try to inform them to take this into=20
>> consideration.
>> * Have you identified additional meta-information to the CLUE=20
>> framework needed to describe the information you have in mind writing=20
>> up the use case.
>> [Xiao Jing] In this early stage, I'm just trying to draw concern=20
>> about the necessity of having multiple presentation streams. I think=20
>> the current framework can cover all the new requirements coming up=20
>> with this use case at ease.
>
> I'm not sure whether 'priority' has been brought up on this public=20
> list or not.
>
> But it is my thought that we need a numeric priority value per=20
> capture, that can be used by the recipient when it doesn't have the=20
> resources to render even the smallest entry from each scene. *That*=20
> would provide a way for the receiving equipment to provide a default=20
> rendering. Some endpoints might also provide a gui for the end users=20
> to manually configure based on descriptions.
>
> The numeric priority could be used to indicate that the presentation=20
> is more important than the speaker, or visa versa. And it can be used=20
> to indicate a relative priority among presentations. Etc.
>
>     Thanks,
>     Paul
>
>> Regards
>>
>> -Espen
>>
>>
>> -----Original Message-----
>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf=20
>> Of Xiaojing
>> Sent: 25. juli 2012 04:40
>> To: clue@ietf.org
>> Subject: [clue] FW: New Version Notification for=20
>> draft-xiao-clue-telemedical-use-case-00.txt
>>
>> Hi all,
>>
>> I've submitted a telemedical use case, which addresses the use of=20
>> Telepresence into medical scenarios.
>>
>> I think this use case is valid to add another application field where=20
>> Telepresence can be used.
>> So I'd like to suggest adding this use case into the current use case=20
>> document.
>>
>> Also, along with this use case, some new requirements might come up,=20
>> e.g. the requirement to support multiple presentation streams, which=20
>> might be considered into the requirement draft.
>>
>> Best regards,
>> Lennard
>>
>> -----Original Message-----
>> From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
>> Sent: Monday, July 09, 2012 11:13 AM
>> To: Xiaojing
>> Cc: Roni even
>> Subject: New Version Notification for=20
>> draft-xiao-clue-telemedical-use-case-00.txt
>>
>>
>> A new version of I-D, draft-xiao-clue-telemedical-use-case-00.txt
>> has been successfully submitted by Lennard Xiao and posted to the=20
>> IETF repository.
>>
>> Filename:     draft-xiao-clue-telemedical-use-case
>> Revision:     00
>> Title:         Use Case for Telemedical with Multi-streams
>> Creation date:     2012-07-06
>> WG ID:         Individual Submission
>> Number of pages: 5
>> URL:=20
>> http://www.ietf.org/internet-drafts/draft-xiao-clue-telemedical-use-c
>> ase-00.txt
>> Status:=20
>> http://datatracker.ietf.org/doc/draft-xiao-clue-telemedical-use-case
>> Htmlized:=20
>> http://tools.ietf.org/html/draft-xiao-clue-telemedical-use-case-00
>>
>>
>> Abstract:
>>     This memo presenst a telemedicine use case where multiple
>>     presentation streams are used for conveying different information in
>>     parallel to the main video from the surgery room
>>
>>
>>
>>
>> The IETF Secretariat
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
>>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>

_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

From espeberg@cisco.com  Mon Jul 30 06:52:55 2012
Return-Path: <espeberg@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 148EA21F8687 for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 06:52:55 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[AWL=0.000, BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id R-OpMzNrYyyQ for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 06:52:54 -0700 (PDT)
Received: from rcdn-iport-2.cisco.com (rcdn-iport-2.cisco.com [173.37.86.73]) by ietfa.amsl.com (Postfix) with ESMTP id 43F0221F8512 for <clue@ietf.org>; Mon, 30 Jul 2012 06:52:54 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=espeberg@cisco.com; l=3054; q=dns/txt; s=iport; t=1343656374; x=1344865974; h=from:to:subject:date:message-id:references:in-reply-to: content-transfer-encoding:mime-version; bh=Jsy4RljuzrtZKxeuaBnCseUZ8Ydo3puC5f4oXlXANaA=; b=g46TlCvhWaVMeBogmRTSWHESoD20DXSFROdJKKaHuVzz0gLorWQMLowV 7aFXwss4vhEe5dzB1pe7ZRhH82+J1dMOhQFdgpA70hxO1urc5E2GbNxSi DbZfXDN4x71LQkPDpS4WkZ5XkVJj1VhLmH6WKSSWZfdM0Bk0k7ASiLkcO k=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: Av8EAOmQFlCtJXG+/2dsb2JhbABFuVaBB4IgAQEBBAEBAQ8BJzQXBAIBCBEEAQEBChQJBycLFAkIAQEEARIIARIHh2sLmlSfZItQGgqFXmADo3CBZoJfgV8
X-IronPort-AV: E=Sophos;i="4.77,679,1336348800"; d="scan'208";a="106592895"
Received: from rcdn-core2-3.cisco.com ([173.37.113.190]) by rcdn-iport-2.cisco.com with ESMTP; 30 Jul 2012 13:52:53 +0000
Received: from xhc-aln-x04.cisco.com (xhc-aln-x04.cisco.com [173.36.12.78]) by rcdn-core2-3.cisco.com (8.14.5/8.14.5) with ESMTP id q6UDqruR018830 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Mon, 30 Jul 2012 13:52:53 GMT
Received: from xmb-rcd-x11.cisco.com ([169.254.1.151]) by xhc-aln-x04.cisco.com ([173.36.12.78]) with mapi id 14.02.0298.004; Mon, 30 Jul 2012 08:52:53 -0500
From: "Espen Berger (espeberg)" <espeberg@cisco.com>
To: Christian Groves <Christian.Groves@nteczone.com>, "clue@ietf.org" <clue@ietf.org>
Thread-Topic: [clue] Status of Ticket #8 how consumer differentiates between capture scenes
Thread-Index: Ac1pqgM1kz5FngEeR2q23Vtmrf4u8QAgJ86AAQvEuYA=
Date: Mon, 30 Jul 2012 13:52:53 +0000
Message-ID: <E8F5F2C7B2623641BD9ABF0B622D726D0F4A1645@xmb-rcd-x11.cisco.com>
References: <44C6B6B2D0CF424AA90B6055548D7A61038F466863@CRPMBOXPRD01.polycom.com> <500F44E9.7010804@nteczone.com>
In-Reply-To: <500F44E9.7010804@nteczone.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.147.112.72]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19072.005
x-tm-as-result: No--39.586600-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Subject: Re: [clue] Status of Ticket #8 how consumer differentiates between capture scenes
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 30 Jul 2012 13:52:55 -0000

What about use cases for providers expressing preferred alternatives and re=
commended captures.=20

UC-1: Alice receives an call from Bob. Bob advertise 3 captures with descri=
ptions VC1=3D"speaker", VC2=3D"audience", VC3=3D"whiteboard". Alice decide =
that she only want to receive the single most important capture from Bob.=20

Another example would be an endpoint two different capture scene entries wi=
th two captures, one could be a composed and the other a switched alternati=
ve. I assume a receiver would choose what the provider offer as the preferr=
ed alternative
=20
There is a couple of solution is to this use case=20
* We can agree that captures and captures scenes within an advertisement sh=
ould be sorted in order of priority=20
* Add an explicit priority attribute=20
* Something else

Cheers=20

-Espen=20

-----Original Message-----
From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Chr=
istian Groves
Sent: 25. juli 2012 02:59
To: clue@ietf.org
Subject: Re: [clue] Status of Ticket #8 how consumer differentiates between=
 capture scenes

Hello Mark,

I do think it would be worthwhile to add some further type of description a=
bout the individual captures. Although I'm not sure just including what is =
basically a free text field is the best way to do this. I think this issue =
of describing captures is also linked to the "Content" attribute. As I ment=
ioned in another email I'm currently working with Paul to come up with some=
 text / proposal to discuss further descriptions of individual captures.

Regards, Christian

On 25/07/2012 12:42 AM, Duckworth, Mark wrote:
>
> The framework includes a couple ways a provider advertisement can=20
> include information to differentiate between multiple capture scenes=20
> it is advertising.
>
> -Description attribute for capture scene
>
> -Content attribute for media captures
>
> When we added the Description attribute, we agreed to keep Ticket #8=20
> open. Prior to that, we discussed Ticket #8 on the list but I don't=20
> remember any specific proposals or consensus other than the=20
> Description attribute.
>
> Recently Espen suggested adding another description attribute for=20
> media captures=20
> <http://www.ietf.org/mail-archive/web/clue/current/msg01664.html>,
> which could include even more text information to differentiate=20
> between scenes, and to differentiate captures within a scene. I didn't=20
> see any responses to Espen's proposal. I agree this could be useful,=20
> but I'm not sure it's necessary.
>
> So if anybody still thinks we need more information in the framework=20
> for this issue, can you make a specific proposal? Or can we close this=20
> ticket now?
>
> Mark
>
>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue

_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

From internet-drafts@ietf.org  Mon Jul 30 08:09:00 2012
Return-Path: <internet-drafts@ietf.org>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 231B921F8822; Mon, 30 Jul 2012 08:09:00 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -102.581
X-Spam-Level: 
X-Spam-Status: No, score=-102.581 tagged_above=-999 required=5 tests=[AWL=0.018, BAYES_00=-2.599, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id AweOjATlbA7O; Mon, 30 Jul 2012 08:08:59 -0700 (PDT)
Received: from ietfa.amsl.com (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 9047F21F85F7; Mon, 30 Jul 2012 08:08:59 -0700 (PDT)
MIME-Version: 1.0
Content-Type: text/plain; charset="utf-8"
Content-Transfer-Encoding: quoted-printable
From: internet-drafts@ietf.org
To: i-d-announce@ietf.org
X-Test-IDTracker: no
X-IETF-IDTracker: 4.32
Message-ID: <20120730150859.27899.52632.idtracker@ietfa.amsl.com>
Date: Mon, 30 Jul 2012 08:08:59 -0700
Cc: clue@ietf.org
Subject: [clue] I-D Action: draft-ietf-clue-telepresence-use-cases-03.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 30 Jul 2012 15:09:00 -0000

A New Internet-Draft is available from the on-line Internet-Drafts director=
ies.
 This draft is a work item of the ControLling mUltiple streams for tElepres=
ence Working Group of the IETF.

	Title           : Use Cases for Telepresence Multi-streams
	Author(s)       : Allyn Romanow
                          Stephen Botzko
                          Mark Duckworth
                          Roni Even
                          Iformata Communications
	Filename        : draft-ietf-clue-telepresence-use-cases-03.txt
	Pages           : 16
	Date            : 2012-07-30

Abstract:
   Telepresence conferencing systems seek to create the sense of really
   being present for the participants.  A number of techniques for
   handling audio and video streams are used to create this experience.
   When these techniques are not similar, interoperability between
   different systems is difficult at best, and often not possible.
   Conveying information about the relationships between multiple
   streams of media would allow senders and receivers to make choices to
   allow telepresence systems to interwork.  This memo describes the
   most typical and important use cases for sending multiple streams in
   a telepresence conference.


The IETF datatracker status page for this draft is:
https://datatracker.ietf.org/doc/draft-ietf-clue-telepresence-use-cases

There's also a htmlized version available at:
http://tools.ietf.org/html/draft-ietf-clue-telepresence-use-cases-03

A diff from previous version is available at:
http://tools.ietf.org/rfcdiff?url2=3Ddraft-ietf-clue-telepresence-use-cases=
-03


Internet-Drafts are also available by anonymous FTP at:
ftp://ftp.ietf.org/internet-drafts/


From ietf@meetecho.com  Mon Jul 30 10:32:34 2012
Return-Path: <ietf@meetecho.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id F112011E8172 for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 10:32:33 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -0.719
X-Spam-Level: 
X-Spam-Status: No, score=-0.719 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, HELO_EQ_IT=0.635, HOST_EQ_IT=1.245]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id P2IE6F4nr4sP for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 10:32:33 -0700 (PDT)
Received: from smtplq02.aruba.it (smtplq-out6.aruba.it [62.149.158.26]) by ietfa.amsl.com (Postfix) with SMTP id 7F48C11E8166 for <clue@ietf.org>; Mon, 30 Jul 2012 10:32:32 -0700 (PDT)
Received: (qmail 15539 invoked by uid 89); 30 Jul 2012 17:32:29 -0000
Received: from unknown (HELO smtp7.aruba.it) (62.149.158.227) by smtplq02.aruba.it with SMTP; 30 Jul 2012 17:32:29 -0000
Received: (qmail 16088 invoked by uid 89); 30 Jul 2012 17:32:29 -0000
Received: from unknown (HELO ?130.129.21.177?) (alex@meetecho.com@130.129.21.177) by smtp7.ad.aruba.it with ESMTPA; 30 Jul 2012 17:32:28 -0000
Message-ID: <5016C519.6060206@meetecho.com>
Date: Mon, 30 Jul 2012 19:32:09 +0200
From: Meetecho IETF support <ietf@meetecho.com>
User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:14.0) Gecko/20120713 Thunderbird/14.0
MIME-Version: 1.0
To: clue@ietf.org
References: <501636C9.5030004@meetecho.com>
In-Reply-To: <501636C9.5030004@meetecho.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
X-Spam-Rating: smtplq02.aruba.it 1.6.2 0/1000/N
Subject: Re: [clue] Meetecho support for CLUE
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 30 Jul 2012 17:32:34 -0000

All,

Meetecho will be available also for today's lunch-time CLUE tutorial.

Here is the link:
http://www.meetecho.com/ietf84/cluetutorial

Cheers,
the Meetecho team


Il 30/07/2012 09:24, Meetecho IETF support ha scritto:
> Hi all,
>
> a virtual room has been reserved on the Meetecho system for Monday's
> CLUE WG meeting session.
>
> Access to the on-line session (including audio and video streams) will
> be available at:
> http://www.meetecho.com/ietf84/clue
>
> The Meetecho session automatically logs you into the standard IETF
> jabber room. So, from there, you can have an integrated experience
> involving all media and allowing you to interact with the room.
> Remote participants might also send their own voice to the room, if they
> want to, by either calling a landline phone number, or using our
> embedded VoIP applet (in this last case they are *strongly* advised to
> use a headset).
>
> A tutorial of interactivity features of the tool can be found at:
> http://www.meetecho.com/ietf84
>
> Cheers,
> the Meetecho team
>

From mary.ietf.barnes@gmail.com  Mon Jul 30 13:25:23 2012
Return-Path: <mary.ietf.barnes@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 41FFC11E8126 for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 13:25:23 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -102.704
X-Spam-Level: 
X-Spam-Status: No, score=-102.704 tagged_above=-999 required=5 tests=[AWL=-0.772, BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1, SARE_HTML_USL_OBFU=1.666, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id USfmT8++N69b for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 13:25:22 -0700 (PDT)
Received: from mail-qa0-f51.google.com (mail-qa0-f51.google.com [209.85.216.51]) by ietfa.amsl.com (Postfix) with ESMTP id 1802611E815A for <clue@ietf.org>; Mon, 30 Jul 2012 13:25:17 -0700 (PDT)
Received: by qaea16 with SMTP id a16so1248635qae.10 for <clue@ietf.org>; Mon, 30 Jul 2012 13:25:16 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=5jCM/W7nOo1kIyqkN9nBU97+d4wIHvdqCbtqfgVwrTI=; b=isyfX6h6hiereTUWsUBYr6wEZi3RVevtPng5puZkvOVtYtVBnbz5rqhSJc2xVyNLTC ZC/f3phHwuuoCJzoZxeGxFO73nzor7Pg2cOMmAlgqExtqXkFM24J0k4RA3lODWq4Qhhb aDQip31CWgfRPL3OBlQYoVE6TwDyHxkZ2nV1/MzaE7n074Kabl19yRtstTFbta0ecpHJ s9+6WvzFiq7ZDv0o6uqqJjdJNPASYdyqyOY5hovtdehUs7Ti6bLsxcYQJzHGxrewqb7+ g2a/FRCNIDccwh/r15hduJ9FpqBLAa/l4Nz/UoHlwwH5wL2ztYzDJW+8399+wKhCAOed bv9Q==
MIME-Version: 1.0
Received: by 10.224.203.197 with SMTP id fj5mr24962525qab.98.1343679916514; Mon, 30 Jul 2012 13:25:16 -0700 (PDT)
Received: by 10.229.136.131 with HTTP; Mon, 30 Jul 2012 13:25:16 -0700 (PDT)
In-Reply-To: <5016C519.6060206@meetecho.com>
References: <501636C9.5030004@meetecho.com> <5016C519.6060206@meetecho.com>
Date: Mon, 30 Jul 2012 15:25:16 -0500
Message-ID: <CAHBDyN4n_8HJZr96FE3Tf5Lbz4YihODmHLkgvi6dohhW_x8ZYA@mail.gmail.com>
From: Mary Barnes <mary.ietf.barnes@gmail.com>
To: Meetecho IETF support <ietf@meetecho.com>
Content-Type: multipart/alternative; boundary=20cf300fb0831d9c4e04c611dc70
Cc: clue@ietf.org
Subject: Re: [clue] Meetecho support for CLUE
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 30 Jul 2012 20:25:23 -0000

--20cf300fb0831d9c4e04c611dc70
Content-Type: text/plain; charset=ISO-8859-1

Thank you so much for providing support for our tutorial!

On Mon, Jul 30, 2012 at 12:32 PM, Meetecho IETF support
<ietf@meetecho.com>wrote:

> All,
>
> Meetecho will be available also for today's lunch-time CLUE tutorial.
>
> Here is the link:
> http://www.meetecho.com/**ietf84/cluetutorial<http://www.meetecho.com/ietf84/cluetutorial>
>
> Cheers,
> the Meetecho team
>
>
> Il 30/07/2012 09:24, Meetecho IETF support ha scritto:
>
>  Hi all,
>>
>> a virtual room has been reserved on the Meetecho system for Monday's
>> CLUE WG meeting session.
>>
>> Access to the on-line session (including audio and video streams) will
>> be available at:
>> http://www.meetecho.com/**ietf84/clue<http://www.meetecho.com/ietf84/clue>
>>
>> The Meetecho session automatically logs you into the standard IETF
>> jabber room. So, from there, you can have an integrated experience
>> involving all media and allowing you to interact with the room.
>> Remote participants might also send their own voice to the room, if they
>> want to, by either calling a landline phone number, or using our
>> embedded VoIP applet (in this last case they are *strongly* advised to
>> use a headset).
>>
>> A tutorial of interactivity features of the tool can be found at:
>> http://www.meetecho.com/ietf84
>>
>> Cheers,
>> the Meetecho team
>>
>>  ______________________________**_________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/**listinfo/clue<https://www.ietf.org/mailman/listinfo/clue>
>

--20cf300fb0831d9c4e04c611dc70
Content-Type: text/html; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

Thank you so much for providing support for our tutorial!<br><br><div class=
=3D"gmail_quote">On Mon, Jul 30, 2012 at 12:32 PM, Meetecho IETF support <s=
pan dir=3D"ltr">&lt;<a href=3D"mailto:ietf@meetecho.com" target=3D"_blank">=
ietf@meetecho.com</a>&gt;</span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">All,<br>
<br>
Meetecho will be available also for today&#39;s lunch-time CLUE tutorial.<b=
r>
<br>
Here is the link:<br>
<a href=3D"http://www.meetecho.com/ietf84/cluetutorial" target=3D"_blank">h=
ttp://www.meetecho.com/<u></u>ietf84/cluetutorial</a><br>
<br>
Cheers,<br>
the Meetecho team<br>
<br>
<br>
Il 30/07/2012 09:24, Meetecho IETF support ha scritto:<div class=3D"im HOEn=
Zb"><br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">
Hi all,<br>
<br>
a virtual room has been reserved on the Meetecho system for Monday&#39;s<br=
>
CLUE WG meeting session.<br>
<br>
Access to the on-line session (including audio and video streams) will<br>
be available at:<br>
<a href=3D"http://www.meetecho.com/ietf84/clue" target=3D"_blank">http://ww=
w.meetecho.com/<u></u>ietf84/clue</a><br>
<br>
The Meetecho session automatically logs you into the standard IETF<br>
jabber room. So, from there, you can have an integrated experience<br>
involving all media and allowing you to interact with the room.<br>
Remote participants might also send their own voice to the room, if they<br=
>
want to, by either calling a landline phone number, or using our<br>
embedded VoIP applet (in this last case they are *strongly* advised to<br>
use a headset).<br>
<br>
A tutorial of interactivity features of the tool can be found at:<br>
<a href=3D"http://www.meetecho.com/ietf84" target=3D"_blank">http://www.mee=
techo.com/ietf84</a><br>
<br>
Cheers,<br>
the Meetecho team<br>
<br>
</blockquote></div><div class=3D"HOEnZb"><div class=3D"h5">
______________________________<u></u>_________________<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/<u></u>listinfo/clue</a><br>
</div></div></blockquote></div><br>

--20cf300fb0831d9c4e04c611dc70--

From spromano@unina.it  Mon Jul 30 13:40:33 2012
Return-Path: <spromano@unina.it>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 3B3D821F8504 for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 13:40:33 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -99.052
X-Spam-Level: 
X-Spam-Status: No, score=-99.052 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, HELO_EQ_IT=0.635, HOST_EQ_IT=1.245, HTML_MESSAGE=0.001, SARE_HTML_USL_OBFU=1.666, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id aV92ld084XVl for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 13:40:32 -0700 (PDT)
Received: from smtp1.unina.it (smtp1.unina.it [192.132.34.61]) by ietfa.amsl.com (Postfix) with ESMTP id 38FCA21F8491 for <clue@ietf.org>; Mon, 30 Jul 2012 13:40:31 -0700 (PDT)
Received: from dhcp-16bb.meeting.ietf.org (dhcp-16bb.meeting.ietf.org [130.129.22.187]) (authenticated bits=0) by smtp1.unina.it (8.14.4/8.14.4) with ESMTP id q6UKdrKi018911 (version=TLSv1/SSLv3 cipher=RC4-MD5 bits=128 verify=NO); Mon, 30 Jul 2012 22:40:21 +0200
References: <501636C9.5030004@meetecho.com> <5016C519.6060206@meetecho.com> <CAHBDyN4n_8HJZr96FE3Tf5Lbz4YihODmHLkgvi6dohhW_x8ZYA@mail.gmail.com>
User-Agent: K-9 Mail per Android
In-Reply-To: <CAHBDyN4n_8HJZr96FE3Tf5Lbz4YihODmHLkgvi6dohhW_x8ZYA@mail.gmail.com>
MIME-Version: 1.0
Content-Type: multipart/alternative; boundary="----RG6BXIDXBG26BDS9CPL1BR1MRHHX0F"
From: Simon Pietro Romano <spromano@unina.it>
Date: Mon, 30 Jul 2012 13:39:48 -0700
To: Mary Barnes <mary.ietf.barnes@gmail.com>, Meetecho IETF support <ietf@meetecho.com>
Message-ID: <11ff373c-68b4-4a9a-b969-6451a3d45e45@email.android.com>
Cc: clue@ietf.org
Subject: Re: [clue] Meetecho support for CLUE
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Mon, 30 Jul 2012 20:40:33 -0000

------RG6BXIDXBG26BDS9CPL1BR1MRHHX0F
Content-Type: text/plain;
 charset=UTF-8
Content-Transfer-Encoding: 8bit

It was our pleasure! Interesting tutorial, by the way ;-)

Simon

Mary Barnes <mary.ietf.barnes@gmail.com> ha scritto:

Thank you so much for providing support for our tutorial!

On Mon, Jul 30, 2012 at 12:32 PM, Meetecho IETF support <ietf@meetecho.com> wrote:

All,

Meetecho will be available also for today's lunch-time CLUE tutorial.

Here is the link:
http://www.meetecho.com/ietf84/cluetutorial

Cheers,
the Meetecho team


Il 30/07/2012 09:24, Meetecho IETF support ha scritto:


Hi all,

a virtual room has been reserved on the Meetecho system for Monday's
CLUE WG meeting session.

Access to the on-line session (including audio and video streams) will
be available at:
http://www.meetecho.com/ietf84/clue

The Meetecho session automatically logs you into the standard IETF
jabber room. So, from there, you can have an integrated experience
involving all media and allowing you to interact with the room.
Remote participants might also send their own voice to the room, if they
want to, by either calling a landline phone number, or using our
embedded VoIP applet (in this last case they are *strongly* advised to
use a headset).

A tutorial of interactivity features of the tool can be found at:
http://www.meetecho.com/ietf84

Cheers,
the Meetecho team

_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue



------RG6BXIDXBG26BDS9CPL1BR1MRHHX0F
Content-Type: text/html;
 charset=utf-8
Content-Transfer-Encoding: 8bit

<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<html><head><meta content="text/html; charset=utf-8" http-equiv="Content-Type"></head>It was our pleasure! Interesting tutorial, by the way  ;-)<br>
<br>
Simon<br><br><div class="gmail_quote">Mary Barnes &lt;mary.ietf.barnes@gmail.com&gt; ha scritto:<blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">
Thank you so much for providing support for our tutorial!<br><br><div class="gmail_quote">On Mon, Jul 30, 2012 at 12:32 PM, Meetecho IETF support <span dir="ltr">&lt;<a href="mailto:ietf@meetecho.com" target="_blank">ietf@meetecho.com</a>&gt;</span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">All,<br>
<br>
Meetecho will be available also for today&#39;s lunch-time CLUE tutorial.<br>
<br>
Here is the link:<br>
<a href="http://www.meetecho.com/ietf84/cluetutorial" target="_blank">http://www.meetecho.com/<u></u>ietf84/cluetutorial</a><br>
<br>
Cheers,<br>
the Meetecho team<br>
<br>
<br>
Il 30/07/2012 09:24, Meetecho IETF support ha scritto:<div class="im HOEnZb"><br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
Hi all,<br>
<br>
a virtual room has been reserved on the Meetecho system for Monday&#39;s<br>
CLUE WG meeting session.<br>
<br>
Access to the on-line session (including audio and video streams) will<br>
be available at:<br>
<a href="http://www.meetecho.com/ietf84/clue" target="_blank">http://www.meetecho.com/<u></u>ietf84/clue</a><br>
<br>
The Meetecho session automatically logs you into the standard IETF<br>
jabber room. So, from there, you can have an integrated experience<br>
involving all media and allowing you to interact with the room.<br>
Remote participants might also send their own voice to the room, if they<br>
want to, by either calling a landline phone number, or using our<br>
embedded VoIP applet (in this last case they are *strongly* advised to<br>
use a headset).<br>
<br>
A tutorial of interactivity features of the tool can be found at:<br>
<a href="http://www.meetecho.com/ietf84" target="_blank">http://www.meetecho.com/ietf84</a><br>
<br>
Cheers,<br>
the Meetecho team<br>
<br>
</blockquote></div><div class="HOEnZb"><div class="h5">
______________________________<u></u>_________________<br>
clue mailing list<br>
<a href="mailto:clue@ietf.org" target="_blank">clue@ietf.org</a><br>
<a href="https://www.ietf.org/mailman/listinfo/clue" target="_blank">https://www.ietf.org/mailman/<u></u>listinfo/clue</a><br>
</div></div></blockquote></div><br>
</blockquote></div></html>
------RG6BXIDXBG26BDS9CPL1BR1MRHHX0F--


From wang.liang12@zte.com.cn  Mon Jul 30 18:34:40 2012
Return-Path: <wang.liang12@zte.com.cn>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id D74D911E80E4; Mon, 30 Jul 2012 18:34:40 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -94.337
X-Spam-Level: 
X-Spam-Status: No, score=-94.337 tagged_above=-999 required=5 tests=[BAYES_40=-0.185, HTML_FONT_FACE_BAD=0.884, HTML_MESSAGE=0.001, MIME_BASE64_TEXT=1.753, MIME_CHARSET_FARAWAY=2.45, RCVD_DOUBLE_IP_LOOSE=0.76, USER_IN_WHITELIST=-100]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id WCiWclcEKGS8; Mon, 30 Jul 2012 18:34:38 -0700 (PDT)
Received: from mx5.zte.com.cn (mx6.zte.com.cn [95.130.199.165]) by ietfa.amsl.com (Postfix) with ESMTP id B334C21F8441; Mon, 30 Jul 2012 18:34:36 -0700 (PDT)
Received: from [10.30.17.99] by mx5.zte.com.cn with surfront esmtp id 107231682403064; Tue, 31 Jul 2012 09:23:23 +0800 (CST)
Received: from [10.30.3.20] by [192.168.168.15] with StormMail ESMTP id 21262.1682403064; Tue, 31 Jul 2012 09:34:32 +0800 (CST)
Received: from notes_smtp.zte.com.cn ([10.30.1.239]) by mse01.zte.com.cn with ESMTP id q6V1YP7u036828; Tue, 31 Jul 2012 09:34:25 +0800 (GMT-8) (envelope-from wang.liang12@zte.com.cn)
In-Reply-To: <mailman.976.1343310222.3364.clue@ietf.org>
MIME-Version: 1.0
To: clue@ietf.org
X-KeepSent: 72BFD64A:73D923C1-48257A48:001AB5EC; type=4; name=$KeepSent
X-Mailer: Lotus Notes Release 6.5.6 March 06, 2007
Message-ID: <OF72BFD64A.73D923C1-ON48257A48.001AB5EC-48257A4C.0008A3C8@zte.com.cn>
From: wang.liang12@zte.com.cn
Date: Tue, 31 Jul 2012 09:34:12 +0800
X-MIMETrack: Serialize by Router on notes_smtp/zte_ltd(Release 8.5.3FP1 HF212|May 23, 2012) at 2012-07-31 09:34:21, Serialize complete at 2012-07-31 09:34:21
Content-Type: multipart/alternative; boundary="=_alternative 0008A2DC48257A4C_="
X-MAIL: mse01.zte.com.cn q6V1YP7u036828
Cc: clue-bounces@ietf.org, clue@ietf.org, wang.liang12@zte.com.cn
Subject: Re: [clue] FW: New Version Notification for draft-xiao-clue-telemedical-use-case-00.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 31 Jul 2012 01:34:41 -0000

This is a multipart message in MIME format.
--=_alternative 0008A2DC48257A4C_=
Content-Type: text/plain; charset="GB2312"
Content-Transfer-Encoding: base64
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--=_alternative 0008A2DC48257A4C_=
Content-Type: text/html; charset="GB2312"
Content-Transfer-Encoding: base64
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--=_alternative 0008A2DC48257A4C_=--


From eckelcu@cisco.com  Mon Jul 30 18:40:30 2012
Return-Path: <eckelcu@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 4523311E80F6 for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 18:40:30 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[AWL=0.000, BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 3fE-h88KGLuQ for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 18:40:28 -0700 (PDT)
Received: from rcdn-iport-7.cisco.com (rcdn-iport-7.cisco.com [173.37.86.78]) by ietfa.amsl.com (Postfix) with ESMTP id 235E411E8114 for <clue@ietf.org>; Mon, 30 Jul 2012 18:40:28 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=eckelcu@cisco.com; l=16093; q=dns/txt; s=iport; t=1343698828; x=1344908428; h=from:to:cc:subject:date:message-id:references: in-reply-to:content-transfer-encoding:mime-version; bh=mdkHhHw5jZU5aVtIHA153oN103uBylIn1IYPpmYaWwo=; b=ZguckaBeEsMxPMhuHIIrlaBvV9agWiRlLzEjxqvjmojDm78AIkmw+in3 xmNDtn9ytjQL13oq28mtIZaCw77rYvUUnLRHxo7pM5mBHWm0Kd8z0dJGW c8yKCTPntPTTIcU5fA4gU+6Ya9hsX2KJnppjbe5FlsOplPWRuoNYORTBF 0=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: AgAFAAo3F1CtJXHB/2dsb2JhbABFDrlSgQeCIAEBAQQBAQEPASc0BAcMBAIBCA4DBAEBAQoUCQchBgsUCQgCBAENBQgTB4dcAwwLmnmWZg2JSgSKZmgVhhRgA5N0jF6DHYFmgiY5gVc
X-IronPort-AV: E=Sophos;i="4.77,681,1336348800"; d="scan'208";a="106812519"
Received: from rcdn-core2-6.cisco.com ([173.37.113.193]) by rcdn-iport-7.cisco.com with ESMTP; 31 Jul 2012 01:40:27 +0000
Received: from xhc-rcd-x14.cisco.com (xhc-rcd-x14.cisco.com [173.37.183.88]) by rcdn-core2-6.cisco.com (8.14.5/8.14.5) with ESMTP id q6V1eRY3024602 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Tue, 31 Jul 2012 01:40:27 GMT
Received: from xmb-aln-x08.cisco.com ([169.254.3.143]) by xhc-rcd-x14.cisco.com ([173.37.183.88]) with mapi id 14.02.0298.004; Mon, 30 Jul 2012 20:40:27 -0500
From: "Charles Eckel (eckelcu)" <eckelcu@cisco.com>
To: Roni Even <ron.even.tlv@gmail.com>, "'Paul Kyzivat'" <pkyzivat@alum.mit.edu>, "'Andy Pepperell'" <apeppere@gmail.com>
Thread-Topic: [clue] Question about encoding values
Thread-Index: Ac1qRJ976QYoQHY1TzCVjPB5Kn2PygAVqSwAAACplAAAAGGagAAGGE0AACva1QAAJH0XgP//94aAgABlmgCAAJbrgP/7bKYQ
Date: Tue, 31 Jul 2012 01:40:26 +0000
Message-ID: <92B7E61ADAC1BB4F941F943788C088280657F2@xmb-aln-x08.cisco.com>
References: <004c01cd6a45$9f6115c0$de234140$@gmail.com> <501001E0.30706@alum.mit.edu> <CAA86=sOz5j4gXigRuZ6OiAWGC6H+UGcsstFxdNDyJTtZ2BVMgg@mail.gmail.com> <501008E1.5060006@alum.mit.edu> <796BD0FD-2F14-4A43-B6E8-66D3B8B67A01@gmail.com> <50115816.3090900@alum.mit.edu>	<006101cd6bcf$49b4cb40$dd1e61c0$@gmail.com> <CAA86=sNajeirhZVTEOBzDHbnci1TOCXxi9x1D7+XLTkFYt_esg@mail.gmail.com> <50129B14.7060802@alum.mit.edu> <002101cd6c49$4fcd9d20$ef68d760$@gmail.com>
In-Reply-To: <002101cd6c49$4fcd9d20$ef68d760$@gmail.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.21.118.218]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19074.001
x-tm-as-result: No--67.819000-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Cc: "clue@ietf.org" <clue@ietf.org>
Subject: Re: [clue] Question about encoding values
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 31 Jul 2012 01:40:30 -0000

It seems to me that while a provider may be able in some cases to make some=
 optimizations when sending the same media to multiple consumers, my assump=
tion is that this is not generally the case, as all it takes is one "fir" m=
essage or one "tmmbr" messages and suddenly what the provider is sending on=
e consumer will differ from what it sends others.
I think any optimization or the ability of a provider to perform such optim=
izations can be left out of CLUE advertisements and configurations.

Cheers,
Charles

> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of
> Roni Even
> Sent: Friday, July 27, 2012 3:44 PM
> To: 'Paul Kyzivat'; 'Andy Pepperell'
> Cc: clue@ietf.org
> Subject: Re: [clue] Question about encoding values
>=20
> Paul,
> In the MCU case each participant will get an individual advertisement. Th=
e
> MCU may send the same encoded stream to all using the common
> denominator
> (video switch) or if possible send each one an individual encode
> (transcoding), this is done in current MCUs. The request from the receive=
r
> is the maximum value , which is also true for the encoding groups in the
> CLUE (at least this is my understanding)
> Roni
>=20
> -----Original Message-----
> From: Paul Kyzivat [mailto:pkyzivat@alum.mit.edu]
> Sent: 27 July, 2012 3:44 PM
> To: Andy Pepperell
> Cc: Roni Even; clue@ietf.org
> Subject: Re: [clue] Question about encoding values
>=20
> It occurs to me that there is another way that the description of encodin=
g
> resources is unable to capture nuances:
>=20
> In some cases an MCU may be able to send the same encoded media to
> multiple
> consumers. If so, then that one may be considered "free" to all but one o=
f
> the consumers. Then in principle they could get another capture that they
> otherwise wouldn't be able to get.
>=20
> The reuse that Roni is talking about is similar, but arises for a single
> provider/consumer relationship.
>=20
> I guess the challenge is that providing enough information to figure out
> when this applies is probably too difficult for us to attempt. And if not=
 we
> will have to settle for the suboptimal solution that assumes every receiv=
ed
> capture requires a separate encoder.
>=20
> Alternatively, I guess it would be possible to stop trying to convey
> encoding constraints from provider to consumer, and instead use some sort
> of
> negotiation to arrive at a workable configuration. But that seems
> unreasonably complex.
>=20
> 	Thanks,
> 	Paul
>=20
> On 7/27/12 3:40 AM, Andy Pepperell wrote:
> > Hi Roni,
> >
> >  >If VC4 does not require extra decoding resources, it will still
> > require it when VC4 is advertised as a separate media capture entry.
> >
> > I'm not sure that which capture scene entry VC4 is part of is a
> > determining factor here - as currently defined, VC4 shouldn't be in
> > the same capture scene entry as VC1..3 as it's an alternative to their
> > capture scene entry rather than being part of it.
> >
> >  >Can I provide a different limit on VC4 depending on which media
> > capture entry uses it
> >
> > I'm not sure how best to answer this, as, again, to my mind it
> > wouldn't depend on which capture scene entry VC4 was to be found in
> > (as it should always be separate to VC1..VC3) but different limits are
> > supported through the encoding groups - as it currently stands, the
> > way to do what you're describing through the framework would be to
> > have VC4 in a different encoding group.
> >
> >  >This is a general question when a media capture is advertised in
> > more than one media capture entry but the advertisement would like
> > different limitation on it.
> >  >I assume the only way is to not have the same media capture in more
> > than one entry and the text should mention this issue.
> >
> > I'm not sure that having a media capture in more than one capture
> > scene entry makes much sense within the framework as it currently
> > stands; to
> > re-iterate: capture scene entries are alternative representation of
> > the same capture scene and so having a media capture entry in more
> > than one capture scene entry would, I think, make it more difficult
> > for a consumer to be able to make a sensible choice.
> >
> > It seems to me that what this discussion is about is introducing a new
> > semantic whereby if you put one or more switched media captures in the
> > same capture scene entry as one or more non-switched captures then
> > there's an implication that the switched captures are just copies of
> > the others (and so don't need separate decoding, and affects how the
> > consumer choices need to fit in with the encoding [group] limits as
> > declared by the provider). This is not something covered by the
> > framework at the moment, which intentionally focusses on the more
> > general cases where a switched version either isn't a simple copy of
> > one of the non-switched captures (e.g. it's a separate PTZ camera) or
> > a consumer wants to receive it with different encoding characteristics
> > (bit rate, resolution etc.). I would go back (perhaps tediously!) to
> > an earlier comment where if a consumer really wants to do segment
> > switching and not separately decode the switched capture, guaranteeing
> > that the switched version is a copy of one of the other streams, the
> > optimal way to do this would be for it to perform the segment
> > switching itself. This would also have the advantage of working with
> > providers which either didn't offer the segment switched capture at
> > all or did so in a way that would definitely require a separate decode.
> >
> > Regards,
> >
> > Andy
> >
> >
> > On Fri, Jul 27, 2012 at 9:10 AM, Roni Even <ron.even.tlv@gmail.com
> > <mailto:ron.even.tlv@gmail.com>> wrote:
> >
> >     Hi,
> >     There are another questions.
> >     If VC4 does not require extra decoding resources, it will still
> >     require it when VC4 is advertised as a separate media capture entry=
.
> >     Can I provide a different limit on VC4 depending on which media
> >     capture entry uses it. This is a general question when a media
> >     capture is advertised in more than one media capture entry but the
> >     advertisement would like different limitation on it. I assume the
> >     only way is to not have the same media capture in more than one
> >     entry and the text should mention this issue.
> >     This will mean that in my example you cannot have both as VC4 and i=
n
> >     the first entry it must be possible to say that there are no
> >     limitation on the MC in the advertisement to make it clear that no
> >     extra resources are needed for it when switching between VC1-3.
> >     Roni
> >
> >     -----Original Message-----
> >     From: clue-bounces@ietf.org <mailto:clue-bounces@ietf.org>
> >     [mailto:clue-bounces@ietf.org <mailto:clue-bounces@ietf.org>] On
> >     Behalf Of Paul Kyzivat
> >     Sent: 26 July, 2012 4:46 PM
> >     To: Andrew Pepperell
> >     Cc: clue@ietf.org <mailto:clue@ietf.org>
> >     Subject: Re: [clue] Question about encoding values
> >
> >     On 7/25/12 1:50 PM, Andrew Pepperell wrote:
> >      > Hi Paul,
> >      >
> >      > Apologies if it seemed like I was evading your question (!).
> >     Partly I was keen not to give the impression what I was saying was
> >     any more than just my opinion on this issue...
> >      >
> >      > In the general case I believe VC4 in this example has to
> >     [permitted to be] a separately encoded stream needing a separate
> >     decode. This would be essential for cases where the switched
> >     sub-scene view *wasn't* just one of VC1..3, and also for cases wher=
e
> >     the consumer requires different encoding characteristics, e.g. a
> >     lower resolution or bit rate.
> >      >
> >      > The RTP usage draft from Jonathan and others describes how the
> >     same actual encoding can be sent by a provider to satisfy multiple
> >     consumer choices. I maintain, though clearly it's a matter of
> >     opinion, that the best way for a consumer to guarantee that "VC4" b=
e
> >     a shared encode of one of VC1..VC3 is for it to receive only those
> >     captures and perform the segment switching itself (we've talked in
> >     various meetings about linking VAD / energy detection to
> >     provider-side co-ordinates and this would seem to be applicable
> >     here, as it also addresses cases where the provider would not be
> >     able to supply a separate, additional, VC4 equivalent).
> >      >
> >      > You probably think this still doesn't answer your question - I
> >     think for some cases it's yes and for some it's no, depending on ho=
w
> >     the provider is providing the switched capture and on how the
> >     consumer plans to use it. It's definitely the case that ghere's no
> >     explicit signalling for a provider to say "capture N" is always one
> >     of this set of other captures - by way of further generalization, i=
t
> >     might also be instructive to consider a potential additional captur=
e
> >     scene entry consisting of VC5..VC8, a 4 capture representation of
> >     the scene. If this too were present, it would not be possible to
> >     determine without extra explicit indication from the provider
> >     whether the switched VC4 was one of the 1..3 set or the 5..8 set.
> >
> >     ISTM there are *two* questions hidden here, though they are closely
> >     related.
> >
> >     One is whether VC4 requires a separate *encoding* resource.
> >     The 2nd is whether VC4 requires a separate *decoding* resource.
> >
> >     The question of the encoding resource comes down to a decision by
> >     the receiver about which combinations of captures can be selected.
> >     If the receiver thinks that a separate encoder is required for VC4,
> >     then it may conclude that it won't be able to select it with some
> >     other captures because the advertiser hasn't indicated sufficient
> >     encoding resources.
> >
> >       From the provider's perspective, it may be that it can perform an
> >     internal optimization and so require less resources than the
> >     receiver thinks are required. That is nice for the provider, but it
> >     also means that some useful configurations aren't usable because
> >     they can't be discovered by the recipient.
> >
> >     Similarly, the recipient can only select those configurations that
> >     it has decoders to handle. And once it has assigned decoders, it
> >     probably has less opportunity (than the provider) to exploit
> >     optimizations that would let it use fewer decoders.
> >
> >     Having said all that, I don't know if it implies any changes to the
> >     mechanisms that have proposed.
> >
> >              Thanks,
> >              Paul
> >
> >      > Regards,
> >      >
> >      > Andy
> >      >
> >      >
> >      > On 25 Jul 2012, at 15:55, Paul Kyzivat<pkyzivat@alum.mit.edu
> >     <mailto:pkyzivat@alum.mit.edu>>  wrote:
> >      >
> >      >> On 7/25/12 10:44 AM, Andy Pepperell wrote:
> >      >>> Hi Paul,
> >      >>>
> >      >>>> I wonder about this. If capture ids are being sent in the med=
ia
> >      >>> stream, then won't a separate codec resource be required for V=
C4
> to
> >      >>> do that? Or are you assuming that insertion of the capture id =
is
> a
> >      >>> separate function from the codec?
> >      >>>
> >      >>> I think it's true that there will be a separate distinct ID fo=
r
> VC4
> >      >>> as compared to any of the others (this is obviously essential =
for
> >      >>> cases where VC4 is not just a simple copy of VC1, VC2 or VC3).
> The
> >      >>> media-9 requirement that Roni cites in
> >      >>> "draft-lennox-clue-rtp-usage-04" covers this case to some degr=
ee,
> >      >>> and the intent (from that draft) in this scenario is for the
> >      >>> provider to use more than one header-extension value within th=
e
> >     same
> >      >>> RTP stream (most notably, the same SSRC) to indicate this
> >      >>> equivalence to the consumer (the consumer may or may not be se=
t
> >     up to be optimised for this case).
> >      >>>
> >      >>> A forthcoming amendment to that RTP usage draft proposes that
> >      >>> instead of the capture ID being used within the RTP encoding,
> >     it's a
> >      >>> consumer-chosen ID (for the purposes of this discussion I don'=
t
> >      >>> believe it's significant, but this is necessary for simulcast
> >     cases,
> >      >>> and at the last interim meeting there was broad agreement over
> the
> >      >>> usefulness of the ID being chosen by the consumer-side rather
> >     than the provider).
> >      >>
> >      >> I understand all that. But you didn't answer my question:
> >      >>
> >      >> Does this mean that a switched capture always requires a
> >     separate encoding resource?
> >      >>
> >      >> I guess you were arguing that the consumer must assume it does.
> >      >>
> >      >>     Thanks,
> >      >>     Paul
> >      >>
> >      >>> Andy
> >      >>>
> >      >>>
> >      >>>
> >      >>> On Wed, Jul 25, 2012 at 3:25 PM, Paul
> >     Kyzivat<pkyzivat@alum.mit.edu <mailto:pkyzivat@alum.mit.edu>
> >      >>> <mailto:pkyzivat@alum.mit.edu
> <mailto:pkyzivat@alum.mit.edu>>>
> >       wrote:
> >      >>>
> >      >>>     On 7/25/12 5:12 AM, Roni Even wrote:
> >      >>>
> >      >>>         Hi,
> >      >>>
> >      >>>         I am still trying to understand how the encoding group=
s
> >     and Id work.
> >      >>>
> >      >>>         Suppose the advertisement include four media captures.
> >      >>>
> >      >>>         VC1 - left camera
> >      >>>
> >      >>>         VC2 - center camera
> >      >>>
> >      >>>         VC3 - right camera
> >      >>>
> >      >>>         VC4 - switched
> >      >>>
> >      >>>         The capture scene entries may be
> >      >>>
> >      >>>         (vc1,vc2,vc3,vc4)
> >      >>>
> >      >>>         (vc4)
> >      >>>
> >      >>>         VC4 appears in the both entries but it may have
> >     different encoding
> >      >>>         constrains in both cases.
> >      >>>
> >      >>>         The encoding constrains have two values that reflect
> >     different
> >      >>>         resources. One is for network bandwidth and the second
> >     is for
> >      >>>         the codec
> >      >>>         performance.
> >      >>>
> >      >>>         In the first capture scene entry VC4 does not require
> >     any additional
> >      >>>         codec resource since it will use one from VC1,2 or 3.
> >      >>>
> >      >>>
> >      >>>     I wonder about this. If capture ids are being sent in the
> media
> >      >>>     stream, then won't a separate codec resource be required
> >     for VC4 to
> >      >>>     do that? Or are you assuming that insertion of the capture
> >     id is a
> >      >>>     separate function from the codec?
> >      >>>
> >      >>>              Thanks,
> >      >>>              Paul
> >      >>>
> >      >>>     _________________________________________________
> >      >>>     clue mailing list
> >      >>> clue@ietf.org <mailto:clue@ietf.org><mailto:clue@ietf.org
> >     <mailto:clue@ietf.org>>
> >      >>> https://www.ietf.org/mailman/__listinfo/clue
> >      >>> <https://www.ietf.org/mailman/listinfo/clue>
> >      >>>
> >      >>>
> >      >>
> >      >
> >
> >     _______________________________________________
> >     clue mailing list
> >     clue@ietf.org <mailto:clue@ietf.org>
> >     https://www.ietf.org/mailman/listinfo/clue
> >
> >
>=20
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue

From Christian.Groves@nteczone.com  Mon Jul 30 20:24:38 2012
Return-Path: <Christian.Groves@nteczone.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id AFB4C11E80F8 for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 20:24:38 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -2.544
X-Spam-Level: 
X-Spam-Status: No, score=-2.544 tagged_above=-999 required=5 tests=[AWL=0.055,  BAYES_00=-2.599]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 0OaoJr5YOGO6 for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 20:24:37 -0700 (PDT)
Received: from ipmail07.adl2.internode.on.net (ipmail07.adl2.internode.on.net [IPv6:2001:44b8:8060:ff02:300:1:2:7]) by ietfa.amsl.com (Postfix) with ESMTP id D977A11E80E2 for <clue@ietf.org>; Mon, 30 Jul 2012 20:24:36 -0700 (PDT)
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: ApMBANxOF1B20UJ6/2dsb2JhbAANLgq9CwEBAQQBAQE1GxUGBgECAQEMBAsRBAEBAQkWCAcJAwIBAgEVHwgBCAYNAQUCAQEFiA+nK5Qhi04KBoZ5A5ZckWo
Received: from ppp118-209-66-122.lns20.mel4.internode.on.net (HELO [127.0.0.1]) ([118.209.66.122]) by ipmail07.adl2.internode.on.net with ESMTP; 31 Jul 2012 12:54:34 +0930
Message-ID: <50174FEE.1080208@nteczone.com>
Date: Tue, 31 Jul 2012 13:24:30 +1000
From: Christian Groves <Christian.Groves@nteczone.com>
User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:14.0) Gecko/20120713 Thunderbird/14.0
MIME-Version: 1.0
To: "Espen Berger (espeberg)" <espeberg@cisco.com>
References: <8A527E21B95EF842BC0E952D6E82297747DA1D4A@szxeml527-mbx.china.huawei.com> <E8F5F2C7B2623641BD9ABF0B622D726D023AEA@xmb-rcd-x11.cisco.com> <8A527E21B95EF842BC0E952D6E82297747DA1F8A@szxeml527-mbx.china.huawei.com> <50114600.3050406@alum.mit.edu> <50121C0B.5080100@nteczone.com> <E8F5F2C7B2623641BD9ABF0B622D726D0F4A162E@xmb-rcd-x11.cisco.com>
In-Reply-To: <E8F5F2C7B2623641BD9ABF0B622D726D0F4A162E@xmb-rcd-x11.cisco.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Cc: "clue@ietf.org" <clue@ietf.org>
Subject: Re: [clue] FW: New Version	Notification	for draft-xiao-clue-telemedical-use-case-00.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 31 Jul 2012 03:24:38 -0000

Hello Espen,

The issue that I see is that the conference event package or XCON would 
come after the initial CLUE signalling. You may want to chose captures 
based on this high level information before XCON etc is established. 
However I think the main point is that we need to be a little more 
detailed when we describe the use of these fields if people are even now 
proposing different uses.

Regards, Christian

On 30/07/2012 11:46 PM, Espen Berger (espeberg) wrote:
> Hi Christian
>
> If a consumer want to learn about information that's on the level of " like "Teleconference Room 2, Beijing"  I think its natural to look into conference event package or XCON.
>
> In the medical case the description attribute will have values like "x-ray" or "CT-scan", "Operation", which is needed since other captures attributes will have the same values.
>
> -Espen
>
>
> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf Of Christian Groves
> Sent: 27. juli 2012 06:42
> To: clue@ietf.org
> Subject: Re: [clue] FW: New Version Notification for draft-xiao-clue-telemedical-use-case-00.txt
>
> Hello Paul,
>
> I think have a enumeration for very specific capabilities woul dbe hard but I think there may be some common ones to many conferencing / telepresence scenarios. In the discussion of this topic I think that perhaps the "description" attribute we have today may be too broad. I was thinking it would be used for something like "Teleconference Room 2, Beijing" but it seems there's proposals to use this for functional level things like "speaker etc".
>
> Regards, Christian
>
> On 26/07/2012 11:28 PM, Paul Kyzivat wrote:
>> [as individual]
>>
>> On 7/26/12 2:51 AM, Xiaojing wrote:
>>> Hi Espen,
>>>
>>> Please see my response inline.
>>>
>>> Regards,
>>> Lennard
>>>
>>> -----Original Message-----
>>> From: Espen Berger (espeberg) [mailto:espeberg@cisco.com]
>>> Sent: Wednesday, July 25, 2012 11:19 PM
>>> To: Xiaojing; clue@ietf.org
>>> Subject: RE: [clue] FW: New Version Notification for
>>> draft-xiao-clue-telemedical-use-case-00.txt
>>>
>>> Thanks for sharing the use case. I had a similar use case in mind,
>>> advanced lecture type calls mainly focusing on P2P with multiple
>>> presentation streams.
>>>
>>> My assumption for an advanced use case like this is each capture has
>>> at least a description field, e.g. 'x-ray' or  'CT-scan', that can be
>>> used by a manual operator to start and stop what to receive. This use
>>> case explains why we need descriptions for both capture-scenes and
>>> captures.
>>>
>>> [Xiao Jing] I share the same thinking on the description field with
>>> you. The different presentations need to be identified from each
>>> other. A straightforward way is to add description tags to them.
>> I think a textual description is the place to start.
>> It would be hard to start defining a machine-processable enumeration
>> of application-specific categories.
>>
>> We already have the proposal for such a mechanism.
>> This use case simply reinforces the need for that mechanism.
>>
>>> Questions
>>> * Do you assume manual or automatic selection of presentation streams?
>>> [Xiao Jing] In my initial thinking, in the use case it is the surgeon
>>> and endpoint users who decide which presentation streams to be sent
>>> and displayed. Thus it is necessary to identify the presentations.
>>> * How do you decide which presentation streams are important? What if
>>> you offer three presentation streams and I can only receive one, how
>>> do I decide which of them to receive?
>>> [Xiao Jing] I assume that the users can differentiate the streams and
>>> then decide which to receive. In this case, if the user knows exactly
>>> what the stream is about, he can decide without additional
>>> information from the provider. But I also think we can introduced
>>> kind of priority concept into it. The "content" attribute could be a
>>> good place to include this idea. In my memory, Christian and Paul are
>>> working on this issue, and I'll try to inform them to take this into
>>> consideration.
>>> * Have you identified additional meta-information to the CLUE
>>> framework needed to describe the information you have in mind writing
>>> up the use case.
>>> [Xiao Jing] In this early stage, I'm just trying to draw concern
>>> about the necessity of having multiple presentation streams. I think
>>> the current framework can cover all the new requirements coming up
>>> with this use case at ease.
>> I'm not sure whether 'priority' has been brought up on this public
>> list or not.
>>
>> But it is my thought that we need a numeric priority value per
>> capture, that can be used by the recipient when it doesn't have the
>> resources to render even the smallest entry from each scene. *That*
>> would provide a way for the receiving equipment to provide a default
>> rendering. Some endpoints might also provide a gui for the end users
>> to manually configure based on descriptions.
>>
>> The numeric priority could be used to indicate that the presentation
>> is more important than the speaker, or visa versa. And it can be used
>> to indicate a relative priority among presentations. Etc.
>>
>>      Thanks,
>>      Paul
>>
>>> Regards
>>>
>>> -Espen
>>>
>>>
>>> -----Original Message-----
>>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf
>>> Of Xiaojing
>>> Sent: 25. juli 2012 04:40
>>> To: clue@ietf.org
>>> Subject: [clue] FW: New Version Notification for
>>> draft-xiao-clue-telemedical-use-case-00.txt
>>>
>>> Hi all,
>>>
>>> I've submitted a telemedical use case, which addresses the use of
>>> Telepresence into medical scenarios.
>>>
>>> I think this use case is valid to add another application field where
>>> Telepresence can be used.
>>> So I'd like to suggest adding this use case into the current use case
>>> document.
>>>
>>> Also, along with this use case, some new requirements might come up,
>>> e.g. the requirement to support multiple presentation streams, which
>>> might be considered into the requirement draft.
>>>
>>> Best regards,
>>> Lennard
>>>
>>> -----Original Message-----
>>> From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
>>> Sent: Monday, July 09, 2012 11:13 AM
>>> To: Xiaojing
>>> Cc: Roni even
>>> Subject: New Version Notification for
>>> draft-xiao-clue-telemedical-use-case-00.txt
>>>
>>>
>>> A new version of I-D, draft-xiao-clue-telemedical-use-case-00.txt
>>> has been successfully submitted by Lennard Xiao and posted to the
>>> IETF repository.
>>>
>>> Filename:     draft-xiao-clue-telemedical-use-case
>>> Revision:     00
>>> Title:         Use Case for Telemedical with Multi-streams
>>> Creation date:     2012-07-06
>>> WG ID:         Individual Submission
>>> Number of pages: 5
>>> URL:
>>> http://www.ietf.org/internet-drafts/draft-xiao-clue-telemedical-use-c
>>> ase-00.txt
>>> Status:
>>> http://datatracker.ietf.org/doc/draft-xiao-clue-telemedical-use-case
>>> Htmlized:
>>> http://tools.ietf.org/html/draft-xiao-clue-telemedical-use-case-00
>>>
>>>
>>> Abstract:
>>>      This memo presenst a telemedicine use case where multiple
>>>      presentation streams are used for conveying different information in
>>>      parallel to the main video from the surgery room
>>>
>>>
>>>
>>>
>>> The IETF Secretariat
>>> _______________________________________________
>>> clue mailing list
>>> clue@ietf.org
>>> https://www.ietf.org/mailman/listinfo/clue
>>> _______________________________________________
>>> clue mailing list
>>> clue@ietf.org
>>> https://www.ietf.org/mailman/listinfo/clue
>>>
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
>>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From Christian.Groves@nteczone.com  Mon Jul 30 21:28:56 2012
Return-Path: <Christian.Groves@nteczone.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id B663411E80D2 for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 21:28:56 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -1.913
X-Spam-Level: 
X-Spam-Status: No, score=-1.913 tagged_above=-999 required=5 tests=[AWL=-0.586, BAYES_00=-2.599, FRT_BEFORE=1.272]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id dPriJoT1rT3Y for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 21:28:56 -0700 (PDT)
Received: from ipmail07.adl2.internode.on.net (ipmail07.adl2.internode.on.net [IPv6:2001:44b8:8060:ff02:300:1:2:7]) by ietfa.amsl.com (Postfix) with ESMTP id E248311E80C5 for <clue@ietf.org>; Mon, 30 Jul 2012 21:28:55 -0700 (PDT)
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: ApMBAK1eF1B20UJ6/2dsb2JhbAANOLY1hlYBAQEEOBskAQEQCxgJFg8JAwIBAgE8CQYNAQcBAa9FlCSLTocJA6hG
Received: from ppp118-209-66-122.lns20.mel4.internode.on.net (HELO [127.0.0.1]) ([118.209.66.122]) by ipmail07.adl2.internode.on.net with ESMTP; 31 Jul 2012 13:58:53 +0930
Message-ID: <50175F00.7080908@nteczone.com>
Date: Tue, 31 Jul 2012 14:28:48 +1000
From: Christian Groves <Christian.Groves@nteczone.com>
User-Agent: Mozilla/5.0 (Windows NT 6.1; WOW64; rv:14.0) Gecko/20120713 Thunderbird/14.0
MIME-Version: 1.0
To: "Allyn Romanow (allyn)" <allyn@cisco.com>
References: <9AC2C4348FD86B4BB1F8FA9C5E3A5EDC07A3819F@xmb-sjc-221.amer.cisco.com> <4FE2A361.6080501@nteczone.com> <FD433719B54BFE41A70641D06F516F130F3CE855@xmb-aln-x02.cisco.com>
In-Reply-To: <FD433719B54BFE41A70641D06F516F130F3CE855@xmb-aln-x02.cisco.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Cc: "clue@ietf.org" <clue@ietf.org>
Subject: Re: [clue] FW: New Version Notification for draft-romanow-clue-data-model-01.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 31 Jul 2012 04:28:56 -0000

Hello Allyn,

Please see my response below.

Regards, Christian

On 29/07/2012 1:19 PM, Allyn Romanow (allyn) wrote:
> ..snip..
>
>
>
> o Sect. 4.5 - The description seems to only focus on video. Wouldn't an
> audio feed generated by a computer also be valid?
>
> AR- does this need to treated differently and therefore need to be distinguished?
[CNG] Perhaps but this would need to be addressed by the framework 
first? As it currently stands the parameter is for both audio and video 
so it should be described that way.
>
> o Sect. 4.8.1 - The framework calls this "Are of capture". We probably
> should be consistent.
>
> AR- I don't believe that the data model elements should need to name things the way the framework does. You can make the framework doc nomenclature match the data model at the end of the process, if people want to do that.
> The framework describes the concepts and was done prior to the data model which is a somewhat formal specification of data elements. I wouldn't expect the names to be exactly the same.
[CNG] I think we should have a good reason to name a parameter 
differently in the data model as compared to the framework. The 
framework and the data model are both living documents subject to change 
so I don't think there's a before and after. If whilst developing the 
data model a better name is chosen then I think the goal is to have it 
the same in the framework and the data model and both documents would be 
updated accordingly.
>
> o Sect. 4.8.3 - FYI, in ITU-T q5/16 at the last meeting a proposal was
> received to add this to the parameters document. The proposal wasn't
> supported as it was felt more information was necessary.
>
> AR- that is interesting. What is your opinion on whether it is useful in CLUE?
[CNG] If we have spatial information for captures then my opinion is 
that the aspect ratio isn't needed. However I haven't seen any real 
analysis or justification on how it would be used. So if someone could 
put together a good case for it then i'd consider it.
>
> o Sect. 4.12 - It says "...When there are multiple entries of the same
> media type in the capture scene,...". I'm not sure what the significance
> is of "the same media type". According to the text below it entries can
> either be a list of audio or video, so they'll always be the same media
> type.
>
> AR- I'm not sure what the confusion is, but I get the message that the statement isn't clear
> How would it be to say:
> 	 Each capture entry represents the capture scene, though with different captures. For example, if there are 6 participants in the scene, 	one entry may be for 3 captures, each of which sees 2 participants; and another capture entry may be for one switched capture, where 	the video and audio depends on an algorithm, such as most recent speaker.
[CNG] I think the last part of the sentence needs work. Capture scene 
entries must be the same media so it may lead to confusion where in the 
first part a video capture is mentioned and then we say "where video and 
audio depends....". It would be more correct to say "... where the video 
depends on an algorithm...".
>
>


From pkyzivat@alum.mit.edu  Mon Jul 30 22:36:57 2012
Return-Path: <pkyzivat@alum.mit.edu>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 7110411E80D2 for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 22:36:57 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: 0.199
X-Spam-Level: 
X-Spam-Status: No, score=0.199 tagged_above=-999 required=5 tests=[AWL=-0.636,  BAYES_00=-2.599, FH_RELAY_NODNS=1.451, FRT_BEFORE=1.272, HELO_MISMATCH_NET=0.611, RDNS_NONE=0.1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id Tbbnug5TOxJJ for <clue@ietfa.amsl.com>; Mon, 30 Jul 2012 22:36:56 -0700 (PDT)
Received: from qmta01.westchester.pa.mail.comcast.net (qmta01.westchester.pa.mail.comcast.net [IPv6:2001:558:fe14:43:76:96:62:16]) by ietfa.amsl.com (Postfix) with ESMTP id B0E0321F85DD for <clue@ietf.org>; Mon, 30 Jul 2012 22:36:56 -0700 (PDT)
Received: from omta02.westchester.pa.mail.comcast.net ([76.96.62.19]) by qmta01.westchester.pa.mail.comcast.net with comcast id gtWC1j0050QuhwU51tczDn; Tue, 31 Jul 2012 05:36:59 +0000
Received: from dhcp-40e5.meeting.ietf.org ([IPv6:2001:df8:0:64:cdc6:6051:fcdb:1db6]) by omta02.westchester.pa.mail.comcast.net with comcast id gtcl1j0051a3fix3Ntclfv; Tue, 31 Jul 2012 05:36:46 +0000
Message-ID: <50176EF6.3080005@alum.mit.edu>
Date: Mon, 30 Jul 2012 22:36:54 -0700
From: Paul Kyzivat <pkyzivat@alum.mit.edu>
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:12.0) Gecko/20120428 Thunderbird/12.0.1
MIME-Version: 1.0
To: clue@ietf.org
References: <9AC2C4348FD86B4BB1F8FA9C5E3A5EDC07A3819F@xmb-sjc-221.amer.cisco.com> <4FE2A361.6080501@nteczone.com> <FD433719B54BFE41A70641D06F516F130F3CE855@xmb-aln-x02.cisco.com> <50175F00.7080908@nteczone.com>
In-Reply-To: <50175F00.7080908@nteczone.com>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit
Subject: Re: [clue] FW: New Version Notification for draft-romanow-clue-data-model-01.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 31 Jul 2012 05:36:57 -0000

Speaking *as* co-chair, I think that before we are done the data model 
and the framework must agree on terminology, other that perhaps 
punctuation, separator characters, etc. As we evolve the documents they 
will no doubt get out of sync for some period of time. I don't care 
which doc gets changed to align them as long as they get aligned.

	Thanks,
	Paul

On 7/30/12 9:28 PM, Christian Groves wrote:
> Hello Allyn,
>
> Please see my response below.
>
> Regards, Christian
>
> On 29/07/2012 1:19 PM, Allyn Romanow (allyn) wrote:
>> ..snip..
>>
>>
>>
>> o Sect. 4.5 - The description seems to only focus on video. Wouldn't an
>> audio feed generated by a computer also be valid?
>>
>> AR- does this need to treated differently and therefore need to be
>> distinguished?
> [CNG] Perhaps but this would need to be addressed by the framework
> first? As it currently stands the parameter is for both audio and video
> so it should be described that way.
>>
>> o Sect. 4.8.1 - The framework calls this "Are of capture". We probably
>> should be consistent.
>>
>> AR- I don't believe that the data model elements should need to name
>> things the way the framework does. You can make the framework doc
>> nomenclature match the data model at the end of the process, if people
>> want to do that.
>> The framework describes the concepts and was done prior to the data
>> model which is a somewhat formal specification of data elements. I
>> wouldn't expect the names to be exactly the same.
> [CNG] I think we should have a good reason to name a parameter
> differently in the data model as compared to the framework. The
> framework and the data model are both living documents subject to change
> so I don't think there's a before and after. If whilst developing the
> data model a better name is chosen then I think the goal is to have it
> the same in the framework and the data model and both documents would be
> updated accordingly.
>>
>> o Sect. 4.8.3 - FYI, in ITU-T q5/16 at the last meeting a proposal was
>> received to add this to the parameters document. The proposal wasn't
>> supported as it was felt more information was necessary.
>>
>> AR- that is interesting. What is your opinion on whether it is useful
>> in CLUE?
> [CNG] If we have spatial information for captures then my opinion is
> that the aspect ratio isn't needed. However I haven't seen any real
> analysis or justification on how it would be used. So if someone could
> put together a good case for it then i'd consider it.
>>
>> o Sect. 4.12 - It says "...When there are multiple entries of the same
>> media type in the capture scene,...". I'm not sure what the significance
>> is of "the same media type". According to the text below it entries can
>> either be a list of audio or video, so they'll always be the same media
>> type.
>>
>> AR- I'm not sure what the confusion is, but I get the message that the
>> statement isn't clear
>> How would it be to say:
>> Each capture entry represents the capture scene, though with different
>> captures. For example, if there are 6 participants in the scene, one
>> entry may be for 3 captures, each of which sees 2 participants; and
>> another capture entry may be for one switched capture, where the video
>> and audio depends on an algorithm, such as most recent speaker.
> [CNG] I think the last part of the sentence needs work. Capture scene
> entries must be the same media so it may lead to confusion where in the
> first part a video capture is mentioned and then we say "where video and
> audio depends....". It would be more correct to say "... where the video
> depends on an algorithm...".
>>
>>
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From espeberg@cisco.com  Tue Jul 31 04:31:41 2012
Return-Path: <espeberg@cisco.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id B164421F86C3 for <clue@ietfa.amsl.com>; Tue, 31 Jul 2012 04:31:41 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -10.599
X-Spam-Level: 
X-Spam-Status: No, score=-10.599 tagged_above=-999 required=5 tests=[AWL=0.000, BAYES_00=-2.599, RCVD_IN_DNSWL_HI=-8]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id s7865fBPtahK for <clue@ietfa.amsl.com>; Tue, 31 Jul 2012 04:31:40 -0700 (PDT)
Received: from rcdn-iport-1.cisco.com (rcdn-iport-1.cisco.com [173.37.86.72]) by ietfa.amsl.com (Postfix) with ESMTP id 7F3A821F86BB for <clue@ietf.org>; Tue, 31 Jul 2012 04:31:40 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=cisco.com; i=espeberg@cisco.com; l=9335; q=dns/txt; s=iport; t=1343734300; x=1344943900; h=from:to:cc:subject:date:message-id:references: in-reply-to:content-transfer-encoding:mime-version; bh=/v9CbCeDAIzc0Ly20jOnk1gRnyE421cglWXIxHHUR58=; b=ESpD46DHXu8S5iaxDYxgLt7Zt9I+C4VK06t3oN61NosW9LboxpgL1Upj Durb+F1oTJCWtxoysRnVAsi1Plq5EOM6Hov8Dpfl/aCFcItOyvDOzcwhU uBSclz0yWQfBL+S5jc+R+ul5kRv9aPJqIHIIJiEkHS6V3FVX2JwZWWU55 g=;
X-IronPort-Anti-Spam-Filtered: true
X-IronPort-Anti-Spam-Result: AgAFACLBF1CtJV2b/2dsb2JhbAA7Crl1gQeCIAEBAQQBAQEPAScuBgYBAgIMBAIBCBEEAQEBChQJBycLFAgBCAIEDgUIARmHawubTKB0i0kKBgSGFWADlluNE4Fmgl+BVg
X-IronPort-AV: E=Sophos;i="4.77,682,1336348800"; d="scan'208";a="106755132"
Received: from rcdn-core-4.cisco.com ([173.37.93.155]) by rcdn-iport-1.cisco.com with ESMTP; 31 Jul 2012 11:31:40 +0000
Received: from xhc-rcd-x05.cisco.com (xhc-rcd-x05.cisco.com [173.37.183.79]) by rcdn-core-4.cisco.com (8.14.5/8.14.5) with ESMTP id q6VBVdtg029731 (version=TLSv1/SSLv3 cipher=AES128-SHA bits=128 verify=FAIL); Tue, 31 Jul 2012 11:31:39 GMT
Received: from xmb-rcd-x11.cisco.com ([169.254.1.151]) by xhc-rcd-x05.cisco.com ([173.37.183.79]) with mapi id 14.02.0298.004; Tue, 31 Jul 2012 06:31:39 -0500
From: "Espen Berger (espeberg)" <espeberg@cisco.com>
To: Christian Groves <Christian.Groves@nteczone.com>
Thread-Topic: [clue] FW: New Version	Notification	for draft-xiao-clue-telemedical-use-case-00.txt
Thread-Index: AQHNbswFtOojQTEf1kaaRC0tjCTK7ZdDBt0A
Date: Tue, 31 Jul 2012 11:31:38 +0000
Message-ID: <E8F5F2C7B2623641BD9ABF0B622D726D0F4A4F80@xmb-rcd-x11.cisco.com>
References: <8A527E21B95EF842BC0E952D6E82297747DA1D4A@szxeml527-mbx.china.huawei.com> <E8F5F2C7B2623641BD9ABF0B622D726D023AEA@xmb-rcd-x11.cisco.com> <8A527E21B95EF842BC0E952D6E82297747DA1F8A@szxeml527-mbx.china.huawei.com> <50114600.3050406@alum.mit.edu> <50121C0B.5080100@nteczone.com> <E8F5F2C7B2623641BD9ABF0B622D726D0F4A162E@xmb-rcd-x11.cisco.com> <50174FEE.1080208@nteczone.com>
In-Reply-To: <50174FEE.1080208@nteczone.com>
Accept-Language: en-US
Content-Language: en-US
X-MS-Has-Attach: 
X-MS-TNEF-Correlator: 
x-originating-ip: [10.147.112.95]
x-tm-as-product-ver: SMEX-10.2.0.1135-7.000.1014-19074.005
x-tm-as-result: No--56.232700-8.000000-31
x-tm-as-user-approved-sender: No
x-tm-as-user-blocked-sender: No
Content-Type: text/plain; charset="us-ascii"
Content-Transfer-Encoding: quoted-printable
MIME-Version: 1.0
Cc: "clue@ietf.org" <clue@ietf.org>
Subject: Re: [clue] FW: New Version	Notification	for draft-xiao-clue-telemedical-use-case-00.txt
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 31 Jul 2012 11:31:41 -0000

Hi Christian

The usage of the description field was originally discussed for use cases w=
hen an endpoint provider can offer two or more capture sources with similar=
 capabilities. For conferences scenarios the assumption is that CLUE needs =
to be used together with another protocol for getting information about who=
 is in the conference and handling operations to a conference resource. XCO=
N is a good candidate for this. =20

I agree that there might be challenges with information arriving in differe=
nt order and how to link CLUE and XCon information together. Another observ=
ation is that we have limited concrete examples where we try out CLUE conce=
pts in parallel with existing IETF standards to see how they relates and ca=
n be used together.=20

Cheers=20

-Espen=20

-----Original Message-----
From: Christian Groves [mailto:Christian.Groves@nteczone.com]=20
Sent: 31. juli 2012 05:24
To: Espen Berger (espeberg)
Cc: clue@ietf.org
Subject: Re: [clue] FW: New Version Notification for draft-xiao-clue-teleme=
dical-use-case-00.txt

Hello Espen,

The issue that I see is that the conference event package or XCON would com=
e after the initial CLUE signalling. You may want to chose captures based o=
n this high level information before XCON etc is established.=20
However I think the main point is that we need to be a little more detailed=
 when we describe the use of these fields if people are even now proposing =
different uses.

Regards, Christian

On 30/07/2012 11:46 PM, Espen Berger (espeberg) wrote:
> Hi Christian
>
> If a consumer want to learn about information that's on the level of " li=
ke "Teleconference Room 2, Beijing"  I think its natural to look into confe=
rence event package or XCON.
>
> In the medical case the description attribute will have values like "x-ra=
y" or "CT-scan", "Operation", which is needed since other captures attribut=
es will have the same values.
>
> -Espen
>
>
> -----Original Message-----
> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf=20
> Of Christian Groves
> Sent: 27. juli 2012 06:42
> To: clue@ietf.org
> Subject: Re: [clue] FW: New Version Notification for=20
> draft-xiao-clue-telemedical-use-case-00.txt
>
> Hello Paul,
>
> I think have a enumeration for very specific capabilities woul dbe hard b=
ut I think there may be some common ones to many conferencing / telepresenc=
e scenarios. In the discussion of this topic I think that perhaps the "desc=
ription" attribute we have today may be too broad. I was thinking it would =
be used for something like "Teleconference Room 2, Beijing" but it seems th=
ere's proposals to use this for functional level things like "speaker etc".
>
> Regards, Christian
>
> On 26/07/2012 11:28 PM, Paul Kyzivat wrote:
>> [as individual]
>>
>> On 7/26/12 2:51 AM, Xiaojing wrote:
>>> Hi Espen,
>>>
>>> Please see my response inline.
>>>
>>> Regards,
>>> Lennard
>>>
>>> -----Original Message-----
>>> From: Espen Berger (espeberg) [mailto:espeberg@cisco.com]
>>> Sent: Wednesday, July 25, 2012 11:19 PM
>>> To: Xiaojing; clue@ietf.org
>>> Subject: RE: [clue] FW: New Version Notification for=20
>>> draft-xiao-clue-telemedical-use-case-00.txt
>>>
>>> Thanks for sharing the use case. I had a similar use case in mind,=20
>>> advanced lecture type calls mainly focusing on P2P with multiple=20
>>> presentation streams.
>>>
>>> My assumption for an advanced use case like this is each capture has=20
>>> at least a description field, e.g. 'x-ray' or  'CT-scan', that can=20
>>> be used by a manual operator to start and stop what to receive. This=20
>>> use case explains why we need descriptions for both capture-scenes=20
>>> and captures.
>>>
>>> [Xiao Jing] I share the same thinking on the description field with=20
>>> you. The different presentations need to be identified from each=20
>>> other. A straightforward way is to add description tags to them.
>> I think a textual description is the place to start.
>> It would be hard to start defining a machine-processable enumeration=20
>> of application-specific categories.
>>
>> We already have the proposal for such a mechanism.
>> This use case simply reinforces the need for that mechanism.
>>
>>> Questions
>>> * Do you assume manual or automatic selection of presentation streams?
>>> [Xiao Jing] In my initial thinking, in the use case it is the=20
>>> surgeon and endpoint users who decide which presentation streams to=20
>>> be sent and displayed. Thus it is necessary to identify the presentatio=
ns.
>>> * How do you decide which presentation streams are important? What=20
>>> if you offer three presentation streams and I can only receive one,=20
>>> how do I decide which of them to receive?
>>> [Xiao Jing] I assume that the users can differentiate the streams=20
>>> and then decide which to receive. In this case, if the user knows=20
>>> exactly what the stream is about, he can decide without additional=20
>>> information from the provider. But I also think we can introduced=20
>>> kind of priority concept into it. The "content" attribute could be a=20
>>> good place to include this idea. In my memory, Christian and Paul=20
>>> are working on this issue, and I'll try to inform them to take this=20
>>> into consideration.
>>> * Have you identified additional meta-information to the CLUE=20
>>> framework needed to describe the information you have in mind=20
>>> writing up the use case.
>>> [Xiao Jing] In this early stage, I'm just trying to draw concern=20
>>> about the necessity of having multiple presentation streams. I think=20
>>> the current framework can cover all the new requirements coming up=20
>>> with this use case at ease.
>> I'm not sure whether 'priority' has been brought up on this public=20
>> list or not.
>>
>> But it is my thought that we need a numeric priority value per=20
>> capture, that can be used by the recipient when it doesn't have the=20
>> resources to render even the smallest entry from each scene. *That*=20
>> would provide a way for the receiving equipment to provide a default=20
>> rendering. Some endpoints might also provide a gui for the end users=20
>> to manually configure based on descriptions.
>>
>> The numeric priority could be used to indicate that the presentation=20
>> is more important than the speaker, or visa versa. And it can be used=20
>> to indicate a relative priority among presentations. Etc.
>>
>>      Thanks,
>>      Paul
>>
>>> Regards
>>>
>>> -Espen
>>>
>>>
>>> -----Original Message-----
>>> From: clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] On Behalf=20
>>> Of Xiaojing
>>> Sent: 25. juli 2012 04:40
>>> To: clue@ietf.org
>>> Subject: [clue] FW: New Version Notification for=20
>>> draft-xiao-clue-telemedical-use-case-00.txt
>>>
>>> Hi all,
>>>
>>> I've submitted a telemedical use case, which addresses the use of=20
>>> Telepresence into medical scenarios.
>>>
>>> I think this use case is valid to add another application field=20
>>> where Telepresence can be used.
>>> So I'd like to suggest adding this use case into the current use=20
>>> case document.
>>>
>>> Also, along with this use case, some new requirements might come up,=20
>>> e.g. the requirement to support multiple presentation streams, which=20
>>> might be considered into the requirement draft.
>>>
>>> Best regards,
>>> Lennard
>>>
>>> -----Original Message-----
>>> From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org]
>>> Sent: Monday, July 09, 2012 11:13 AM
>>> To: Xiaojing
>>> Cc: Roni even
>>> Subject: New Version Notification for=20
>>> draft-xiao-clue-telemedical-use-case-00.txt
>>>
>>>
>>> A new version of I-D, draft-xiao-clue-telemedical-use-case-00.txt
>>> has been successfully submitted by Lennard Xiao and posted to the=20
>>> IETF repository.
>>>
>>> Filename:     draft-xiao-clue-telemedical-use-case
>>> Revision:     00
>>> Title:         Use Case for Telemedical with Multi-streams
>>> Creation date:     2012-07-06
>>> WG ID:         Individual Submission
>>> Number of pages: 5
>>> URL:
>>> http://www.ietf.org/internet-drafts/draft-xiao-clue-telemedical-use-
>>> c
>>> ase-00.txt
>>> Status:
>>> http://datatracker.ietf.org/doc/draft-xiao-clue-telemedical-use-case
>>> Htmlized:
>>> http://tools.ietf.org/html/draft-xiao-clue-telemedical-use-case-00
>>>
>>>
>>> Abstract:
>>>      This memo presenst a telemedicine use case where multiple
>>>      presentation streams are used for conveying different information =
in
>>>      parallel to the main video from the surgery room
>>>
>>>
>>>
>>>
>>> The IETF Secretariat
>>> _______________________________________________
>>> clue mailing list
>>> clue@ietf.org
>>> https://www.ietf.org/mailman/listinfo/clue
>>> _______________________________________________
>>> clue mailing list
>>> clue@ietf.org
>>> https://www.ietf.org/mailman/listinfo/clue
>>>
>> _______________________________________________
>> clue mailing list
>> clue@ietf.org
>> https://www.ietf.org/mailman/listinfo/clue
>>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>


From apeppere@gmail.com  Tue Jul 31 16:41:18 2012
Return-Path: <apeppere@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id 040B711E8168 for <clue@ietfa.amsl.com>; Tue, 31 Jul 2012 16:41:18 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.244
X-Spam-Level: 
X-Spam-Status: No, score=-3.244 tagged_above=-999 required=5 tests=[AWL=0.354,  BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id yXgTcFfCChYf for <clue@ietfa.amsl.com>; Tue, 31 Jul 2012 16:41:16 -0700 (PDT)
Received: from mail-vb0-f44.google.com (mail-vb0-f44.google.com [209.85.212.44]) by ietfa.amsl.com (Postfix) with ESMTP id A64E011E808E for <clue@ietf.org>; Tue, 31 Jul 2012 16:41:15 -0700 (PDT)
Received: by vbbez10 with SMTP id ez10so6919034vbb.31 for <clue@ietf.org>; Tue, 31 Jul 2012 16:41:09 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=sl0h+wrdPff4BYqDmx2G0vuL5hBiACsAmOxQ645z7Q0=; b=xU9CXkkFsPpVO0ck997X0XpFRA1EEt1OiSQxiZaT97YkD+/VdfQf6tbG0eRhPQpqW9 gsQUvXPV001iNuFddswryiCysbdk6a0JmcM9VFPIy9o4wyeunXwRqkpwIZLR4F3QroAj CtKXu8glYXHJaiPh1S7xKgLl9ArBn1nFO1LKTGIfxr03YFLqoQH6v3xA58O3aycIiZXC Vc52afg8bV/RoKwENe8zn6DK3E+v1/C/psVkDRo4NsMH7u854CbJ+dBh+Dh2D3EaGFZZ PF1FJDgQX+c8zbdPulOSlavxVj9Ha+IUkf1cOrktLGlh9ltCvJZGhjHP99WTQJfV/87l /Vlg==
MIME-Version: 1.0
Received: by 10.58.168.211 with SMTP id zy19mr4103826veb.25.1343778069460; Tue, 31 Jul 2012 16:41:09 -0700 (PDT)
Received: by 10.220.46.212 with HTTP; Tue, 31 Jul 2012 16:41:09 -0700 (PDT)
In-Reply-To: <FD433719B54BFE41A70641D06F516F130F3CE8B6@xmb-aln-x02.cisco.com>
References: <FD433719B54BFE41A70641D06F516F130F3CE8B6@xmb-aln-x02.cisco.com>
Date: Wed, 1 Aug 2012 00:41:09 +0100
Message-ID: <CAA86=sMqdEnytVmk=DpgPVnVUqZFWdjLfxAZ0_aeStqKfsNBJg@mail.gmail.com>
From: Andy Pepperell <apeppere@gmail.com>
To: "Allyn Romanow (allyn)" <allyn@cisco.com>
Content-Type: multipart/alternative; boundary=047d7b6dcb3e7cb8b104c628b64b
Cc: CLUE <clue@ietf.org>
Subject: Re: [clue] a few issues on data model draft
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Tue, 31 Jul 2012 23:41:18 -0000

--047d7b6dcb3e7cb8b104c628b64b
Content-Type: text/plain; charset=windows-1252
Content-Transfer-Encoding: quoted-printable

>>>Currently it is not possible to tell whether a remote video source is
natively 4:3 or 16:9, for instance.
>>>If we have this, there might usefully be a "PREFERRED-ASPECT-RATIO" in
the consumer's stream selection message as part of the  (e.g. in
"<stream-description> / <encoding>").

>>Roni: RE: No need, first of all it does not work with switched capture
that may have different aspect ratios. Also this is available in the SDP as
well as a way for receiver to ask for specific ratio using the SDP image
attribute.

>AR =96 I=92ll let Andy respond to this

Many apologies for not doing so until now...

Roni, I think you're right in that at least the native aspect ratio as
potentially expressed in a provider's capture advertisement wouldn't work
for the switched capture case (or at least wouldn't work all the time - for
the endpoint case where the switched capture was a dynamic choice between
one of the "real" cameras' image then it would be possible (and
straightforward) to attach the same native aspect ratio to the switched
capture as was applicable to the non-switched captures). Even if it were
impossible to attach a "native aspect ratio" to the switched case, to my
mind this doesn't necessarily take away from the validity in this scenario
of the consumer supplying a "preferred aspect ratio" in its stream
selection message.

re: use of "imageattr" in the SDP, it's definitely pertinent here;
potentially this has some issues in relation to CLUE:

- it would have to be applied on a per m line basis (excluding payload type
differences) rather than per capture - within CLUE there would be a need
(or at least use) of the aspect ratio specification being more fine-grained
and separately specifiable per capture (this may depend in part on how we
eventually choose to manage main vs slides video in terms of RTP session
association though).

- by being in SDP, it's presumably the case that to correctly signal to the
consumer when, say, a 4:3 presentation source had been connected would
require an additional offer / answer cycle (and similarly if that source
were to be disconnected and a new 16:9 source attached) - this seems
slightly less lightweight than the equivalent operation would be if its
scope were restricted to just the CLUE provider capture advertisement. As a
side point, it also seems more heavyweight than SIP without the use of
imageattr too, where presumably the only impact of connecting such a
presentation source would be a BFCP exchange.

I'm happy to own up here to not having seen this attribute being present in
devices' SDP, so if any of the above are inaccurate due to my ignorance on
this, I apologise. It would certainly be interesting to get some sort of
picture of the adoption of "imageattr" within the vendor community - I
don't recall seeing this in use, but most of my exposure has been to
systems not necessarily running recent software versions. Obviously if the
already-defined "imageattr" does all we'd like within CLUE, then we should
use this already-defined scheme.

Regards,

Andy


On Sun, Jul 29, 2012 at 4:58 AM, Allyn Romanow (allyn) <allyn@cisco.com>wro=
te:

>  Hi Espen,****
>
> Thanks for your comments- ****
>
> Please see below-****
>
> Also inline in response to your inline J****
>
> ** **
>
> *From:* Espen Berger (espeberg)
> *Sent:* Monday, July 23, 2012 8:27 AM
> *To:* Allyn Romanow (allyn); Roni Even; 'CLUE'
>
> *Subject:* RE: [clue] a few issues on data model draft****
>
>  ** **
>
> I have two questions to the data model draft. ****
>
> ** **
>
> The first questions is related to naming differences between the CLUE
> framework and the CLUE data model. Some examples of differences. the
> framework uses Description and the data model uses capture-scene-text, th=
e
> framework uses capture and the data model uses capture-description . Isn=
=92t
> it natural that both documents share the same vocabulary? ****
>
> ** **
>
> AR =96 Christian also brought this up.   I believe that the documents wil=
l
> not have the same vocabulary =96 but the concepts are the same.     The
> framework was written first and it=92s goal is to describe things as clea=
rly
> as possible (we=92re not done with that=85). The data model is more forma=
l and
> the language there is not casual. It was developed after the framework, s=
o
> it sort of distils the ideas in the framework.  ****
>
> ** **
>
> If there is a discrepancy of meaning, that is an issue and we should
> definitely sort it out. But in terms of language, I think it=92s fine to
> either leave it different or  change the framework at some point to be mo=
re
> in keeping with the data model.. but I think it=92s a good idea to do tha=
t
> later when the data model is about agreed upon.                 ****
>
> ** **
>
> I=92ve put this on the list for discussion at the IETF meeting on
> Weds.
>                                                                  ****
>
> ** **
>
> The second questions is related to the concept of doing a data model as
> the basis for both advertisement and configuration messages. Playing arou=
nd
> with some XML examples messages it=92s not obvious that the two messages
> types share a common data model. I do see similarities between the initia=
l
> advertisement, the current active configuration and the advantages of be
> able to describe the state of a running CLUE system. Assume this will be
> sorted out when we look at the details of how to do configuration in CLUE=
.
> ****
>
> ** **
>
> AR - Okay, this is interesting. Guess I=92ll have to wait to see more
> specifically what issues arise.****
>
> ** **
>
> Additional comments inline. ****
>
> ** **
>
> -Espen ****
>
> ** **
>
> ** **
>
> *From:* clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] *On Behalf
> Of *Allyn Romanow (allyn)
>
> *Sent:* 18. juli 2012 23:00
> *To:* Roni Even; 'CLUE'
> *Subject:* Re: [clue] a few issues on data model draft****
>
>  ** **
>
> Hi Roni,****
>
> Sure, these are easy to add-****
>
> thanks****
>
> ** **
>
> *From:* Roni Even [mailto:ron.even.tlv@gmail.com]
> *Sent:* Wednesday, July 18, 2012 2:56 PM
> *To:* Allyn Romanow (allyn); 'CLUE'
> *Subject:* RE: [clue] a few issues on data model draft****
>
>  ** **
>
> Hi,****
>
> Reviewed the draft, inline for your question (BTW: not all the new
> attributes here are in BOLD for example captureID)****
>
> ** **
>
> Other comments****
>
> ** **
>
> **1.       **Need to add axis of capture to the media capture (now in the
> framework)****
>
> **2.       **The capture scene text and language should be sets of (text,
> language), I think is not the current structure****
>
> ** **
>
> Thanks****
>
> Roni****
>
> ** **
>
> *From:* clue-bounces@ietf.org [mailto:clue-bounces@ietf.org] *On Behalf
> Of *Allyn Romanow (allyn)
> *Sent:* 18 July, 2012 3:22 AM
> *To:* CLUE (clue@ietf.org)
> *Subject:* [clue] a few issues on data model draft****
>
> ** **
>
> Folks,****
>
> There are several issues related to the data model that we=92d like us to
> consider. These are things that are not exactly the same as in the
> framework, to a lesser or greater extent. They were brought up during the
> data model presentation at the interim meeting. I wonder if we could work
> on resolving them?****
>
> List based on draft-romanow-clue-data-model-01****
>
> 1.  Any problem with using media-type for capture attribute as described
> in the draft?****
>
> RE: OK
>
> EBE> Supported, since its allow us to join the audio and video encodings
> into a single list of encodings. ****
>
> 2.  Any problem with using content-type for capture attribute as
> described in the draft?****
>
>                 RE: I did not see any difference from the framework in
> which case I am OK.
>                 EBE> The framework use the =91content=92 name and the dat=
a
> model the =91content-type=92 name. Why not use the same name?  ****
>
> AR- as above****
>
> 3.  DERIVED for capture attribute- Should we have a variable called
> something like DERIVED, that takes various values, one of which is
> composed. That would mean that if DERIVED is not =3Dcomposed, that the
> capture is not composed, and if it =3Dcomposed then it is. I don=92t have
> another descriptor to propose now, but there could be others either now o=
r
> later.****
>
> Why this change from the framework? I think it is more general than
> composed Boolean, yet semantically similar.****
>
> This does not prevent us from having qualifiers to describe composed, to
> help  distinguish between different composed captures, as has  been
> discussed. Also, it needs to be possible to have multiple values for
> =93DERIVED=94, that is the values should not be mutually exclusive.****
>
>                 RE:  I am OK if this is for future extension but am not
> sure about the structure  the high level derived which has Compose and
> future something (not sure what). The composed has a value (true, false)
> and child elements for extensions . Is this the proposed structure?
> EBE> I like the idea of describing the origin of the capture with an
> attribute that is more extensible than a Boolean. What about creating
> enumerated values for the two origins we are currently discussing. We hav=
e
> =91composed=92 (composed=3Dtrue) meaning that the media has been changed =
in some
> way and original (composed=3Dfalse). ****
>
> 4.  Leave switched as a Boolean as in framework. The proposal in the draf=
t
> seems infeasible =96 we don=92t want CLUE  to have to include all the way=
s in
> which products might want to implement switching. It would be better to
> make this more general, but we have no suggestion for it at present- it
> does not really match the meaning of a derived capture.****
>
>                 RE: I think that if we have the extension for composed as
> I outlined above we can have similar here.****
>
> 5.  As part of the capture description, should we have a parameter
> NATIVE-ASPECT-RATIO, which indicates the aspect ratio for the capture if
> there is one, such as 4:3 for a video camera? The reason is that it can
> help rendering.
>
>
> Currently it is not possible to tell whether a remote video source is
> natively 4:3 or 16:9, for instance. If we have this, there might usefully
> be a "PREFERRED-ASPECT-RATIO" in the consumer's stream selection message =
as
> part of the  (e.g. in "<stream-description> / <encoding>").****
>
>                 RE: No need, first of all it does not work with switched
> capture that may have different aspect ratios. Also this is available in
> the SDP as well as a way for receiver to ask for specific ratio using the
> SDP image attribute.
> EBE> The image attribute (RFC6236) document talks about image resolution
> and picture aspect ratio, and how they relates to codec specific paramete=
rs
> like h264 max-fs and max-mbps.  An attribute can have a single value, a
> list of values or a range. ****
>
> 6.   Multiplex ID =96 Value sent by consumer in its stream selection
> message with the encoding id and capture id. This is the mechanism by whi=
ch
> the consumer tells the provider which multiplex id to generate that strea=
m
> with, so that the consumer can demultiplex the stream correctly when
> receiving it.
> This is the link between RTP and CLUE as discussed in
> draft-lennox-clue-rtp-usage.****
>
>      Think should probably be re-named.****
>
>                RE: I do not see the need the mapping is to the capture ID
> which is a numeric value. See
> http://tools.ietf.org/html/draft-even-clue-rtp-mapping-03 ****
>
>            7.  AUDIO-RENDERING-ID =96  If the notion of an audio renderin=
g
> tag is****
>
>      adopted, this would be needed. It is an ID provided by the consumer
> to the****
>
>      provider. The provider uses the tag to associate an audio stream wit=
h
> a video****
>
>     stream.****
>
>                 RE; suggest to take this out at the moment until we agree
> if needed and how to map.
>  EBE> I assume that matching RTCP SDES CNAME is still the preferred
> mechanisms for syncing audio and video for lip-sync (as defined in
> RFC3550). When we discussed audio tags last interim it as was presented a=
s
> a tool for improving directional audio.
> ****
>
> ** **
>
> Clearly this doesn=92t cover all the data model issues, but it=92s a star=
t.***
> *
>
> ** **
>
> Thanks,****
>
> Andy and Allyn****
>
> ** **
>
> ** **
>
> _______________________________________________
> clue mailing list
> clue@ietf.org
> https://www.ietf.org/mailman/listinfo/clue
>
>

--047d7b6dcb3e7cb8b104c628b64b
Content-Type: text/html; charset=windows-1252
Content-Transfer-Encoding: quoted-printable

&gt;&gt;&gt;Currently it is not possible to tell whether a remote video sou=
rce is natively 4:3 or 16:9, for instance.<br>&gt;&gt;&gt;If we have this, =
there might usefully be a &quot;PREFERRED-ASPECT-RATIO&quot; in the consume=
r&#39;s stream selection message as part of the=A0 (e.g. in &quot;&lt;strea=
m-description&gt; / &lt;encoding&gt;&quot;).<br>


<br>&gt;&gt;Roni: RE: No need, first of all it does not work with switched =
capture that may have different aspect ratios. Also this is available in th=
e SDP as well as a way for receiver to ask for specific ratio using the SDP=
 image attribute.<br>


<br>&gt;AR =96 I=92ll let Andy respond to this<br><br>Many apologies for no=
t doing so until now...<br><br>Roni, I think you&#39;re right in that at le=
ast the native aspect ratio as potentially expressed in a provider&#39;s ca=
pture advertisement wouldn&#39;t work for the switched capture case (or at =
least wouldn&#39;t work all the time - for the endpoint case where the swit=
ched capture was a dynamic choice between one of the &quot;real&quot; camer=
as&#39; image then it would be possible (and straightforward) to attach the=
 same native aspect ratio to the switched capture as was applicable to the =
non-switched captures). Even if it were impossible to attach a &quot;native=
 aspect ratio&quot; to the switched case, to my mind this doesn&#39;t neces=
sarily take away from the validity in this scenario of the consumer supplyi=
ng a &quot;preferred aspect ratio&quot; in its stream selection message.<br=
>


<br>re: use of &quot;imageattr&quot; in the SDP, it&#39;s definitely pertin=
ent here; potentially this has some issues in relation to CLUE:<br><br>- it=
 would have to be applied on a per m line basis (excluding payload type dif=
ferences) rather than per capture - within CLUE there would be a need (or a=
t least use) of the aspect ratio specification being more fine-grained and =
separately specifiable per capture (this may depend in part on how we event=
ually choose to manage main vs slides video in terms of RTP session associa=
tion though).<br>


<br>- by being in SDP, it&#39;s presumably the case that to correctly signa=
l to the consumer when, say, a 4:3 presentation source had been connected w=
ould require an additional offer / answer cycle (and similarly if that sour=
ce were to be disconnected and a new 16:9 source attached) - this seems sli=
ghtly less lightweight than the equivalent operation would be if its scope =
were restricted to just the CLUE provider capture advertisement. As a side =
point, it also seems more heavyweight than SIP without the use of imageattr=
 too, where presumably the only impact of connecting such a presentation so=
urce would be a BFCP exchange.<br>


<br>
I&#39;m happy to own up here to not having seen this attribute being presen=
t in devices&#39; SDP, so if any of the above are inaccurate due to my igno=
rance on this, I apologise. It would certainly be interesting to get some s=
ort of picture of the adoption of &quot;imageattr&quot; within the vendor c=
ommunity - I don&#39;t recall  seeing this in use, but most of my exposure =
has been to systems not necessarily running recent software versions. Obvio=
usly if the already-defined &quot;imageattr&quot; does all we&#39;d like wi=
thin CLUE, then we should use this already-defined scheme.<br>


<br>Regards,<br><br>Andy<br><br><br><div class=3D"gmail_quote">On Sun, Jul =
29, 2012 at 4:58 AM, Allyn Romanow (allyn) <span dir=3D"ltr">&lt;<a href=3D=
"mailto:allyn@cisco.com" target=3D"_blank">allyn@cisco.com</a>&gt;</span> w=
rote:<br>
<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex">







<div link=3D"blue" vlink=3D"purple" lang=3D"EN-US">
<div>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Hi Espen,<u></u><u></u></=
span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Thanks for your comments-
<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Please see below-<u></u><=
u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Also inline in response t=
o your inline
</span><span style=3D"font-size:11.0pt;font-family:Wingdings;color:#1f497d"=
>J</span><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&q=
uot;sans-serif&quot;;color:#1f497d"><u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p>
<div>
<div style=3D"border:none;border-top:solid #b5c4df 1.0pt;padding:3.0pt 0in =
0in 0in">
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;"> Espen Be=
rger (espeberg)
<br>
<b>Sent:</b> Monday, July 23, 2012 8:27 AM<br>
<b>To:</b> Allyn Romanow (allyn); Roni Even; &#39;CLUE&#39;</span></p><div>=
<br>
<b>Subject:</b> RE: [clue] a few issues on data model draft<u></u><u></u></=
div><p></p>
</div>
</div>
<p class=3D"MsoNormal"><u></u>=A0<u></u></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB">I have two=
 questions to the data model draft.
<u></u><u></u></span></p><div>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB"><u></u>=A0=
<u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB">The first =
questions is related to naming differences between the CLUE framework and t=
he CLUE data model. Some examples of differences. the framework
 uses Description and the data model uses capture-scene-text, the framework=
 uses capture and the data model uses capture-description . Isn=92t it natu=
ral that both documents share the same vocabulary?
<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB"><u></u>=A0=
<u></u></span></p>
</div><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&q=
uot;Calibri&quot;,&quot;sans-serif&quot;" lang=3D"EN-GB">AR =96 Christian a=
lso brought this up. =A0=A0I believe that the documents will not have the s=
ame vocabulary =96 but the concepts are the same.=A0=A0=A0=A0 The framework
 was written first and it=92s goal is to describe things as clearly as poss=
ible (we=92re not done with that=85). The data model is more formal and the=
 language there is not casual. It was developed after the framework, so it =
sort of distils the ideas in the framework.=A0
<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;" lang=3D"EN-GB"><u></u>=A0<u></u></span>=
</p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;" lang=3D"EN-GB">If there is a discrepanc=
y of meaning, that is an issue and we should definitely sort it out. But in=
 terms of language, I think it=92s fine to either
 leave it different or=A0 change the framework at some point to be more in =
keeping with the data model.. but I think it=92s a good idea to do that lat=
er when the data model is about agreed upon.=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=
=A0=A0=A0=A0=A0=A0
<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;" lang=3D"EN-GB"><u></u>=A0<u></u></span>=
</p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;" lang=3D"EN-GB">I=92ve put this on the l=
ist for discussion at the IETF meeting on Weds.=A0=A0=A0=A0=A0=A0=A0=A0=A0=
=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=
=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 =A0=A0=A0=A0=
=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=
=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=
=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0<u></u><u></u></span></p>


<div>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB"><u></u>=A0=
<u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB">The second=
 questions is related to the concept of doing a data model as the basis for=
 both advertisement and configuration messages. Playing around
 with some XML examples messages it=92s not obvious that the two messages t=
ypes share a common data model. I do see similarities between the initial a=
dvertisement, the current active configuration and the advantages of be abl=
e to describe the state of a running
 CLUE system. Assume this will be sorted out when we look at the details of=
 how to do configuration in CLUE. =A0<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB"><u></u>=A0=
<u></u></span></p>
</div><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&q=
uot;Calibri&quot;,&quot;sans-serif&quot;" lang=3D"EN-GB">AR - Okay, this is=
 interesting. Guess I=92ll have to wait to see more specifically what issue=
s arise.<u></u><u></u></span></p>



<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB"><u></u>=A0=
<u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB">Additional=
 comments inline.
<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB"><u></u>=A0=
<u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB">-Espen
<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB"><u></u>=A0=
<u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d" lang=3D"EN-GB"><u></u>=A0=
<u></u></span></p>
<div>
<div style=3D"border:none;border-top:solid #b5c4df 1.0pt;padding:3.0pt 0in =
0in 0in">
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">
</span><a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank"><span sty=
le=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot=
;">clue-bounces@ietf.org</span></a><span style=3D"font-size:10.0pt;font-fam=
ily:&quot;Tahoma&quot;,&quot;sans-serif&quot;">
</span><a href=3D"mailto:[mailto:clue-bounces@ietf.org]" target=3D"_blank">=
<span style=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-s=
erif&quot;">[mailto:clue-bounces@ietf.org]</span></a><span style=3D"font-si=
ze:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">
<b>On Behalf Of </b>Allyn Romanow (allyn)</span></p><div><br>
<b>Sent:</b> 18. juli 2012 23:00<br>
<b>To:</b> Roni Even; &#39;CLUE&#39;<br>
<b>Subject:</b> Re: [clue] a few issues on data model draft<u></u><u></u></=
div><p></p>
</div>
</div><div>
<p class=3D"MsoNormal"><span lang=3D"NO-BOK"><u></u>=A0<u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Hi Roni,<u></u><u></u></s=
pan></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Sure, these are easy to a=
dd-<u></u><u></u></span></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">thanks<u></u><u></u></spa=
n></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p>
</div><div>
<div style=3D"border:none;border-top:solid #b5c4df 1.0pt;padding:3.0pt 0in =
0in 0in">
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;"> Roni Eve=
n
</span><a href=3D"mailto:[mailto:ron.even.tlv@gmail.com]" target=3D"_blank"=
><span style=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-=
serif&quot;">[mailto:ron.even.tlv@gmail.com]</span></a><span style=3D"font-=
size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">
<br></span></p><div>
<b>Sent:</b> Wednesday, July 18, 2012 2:56 PM<br>
<b>To:</b> Allyn Romanow (allyn); &#39;CLUE&#39;<br>
<b>Subject:</b> RE: [clue] a few issues on data model draft<u></u><u></u></=
div><p></p>
</div>
</div><div>
<p class=3D"MsoNormal"><u></u>=A0<u></u></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Hi,<u></u><u></u></span><=
/p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Reviewed the draft, inlin=
e for your question (BTW: not all the new attributes here are in BOLD for e=
xample captureID)<u></u><u></u></span></p>



<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p>
</div><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&q=
uot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">Other comments<u></=
u><u></u></span></p><div>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p>
<p><u></u><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&=
quot;sans-serif&quot;;color:#1f497d"><span>1.<span style=3D"font:7.0pt &quo=
t;Times New Roman&quot;">=A0=A0=A0=A0=A0=A0
</span></span></span><u></u><span style=3D"font-size:11.0pt;font-family:&qu=
ot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">Need to add axis of =
capture to the media capture (now in the framework)<u></u><u></u></span></p=
>



<p><u></u><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&=
quot;sans-serif&quot;;color:#1f497d"><span>2.<span style=3D"font:7.0pt &quo=
t;Times New Roman&quot;">=A0=A0=A0=A0=A0=A0
</span></span></span><u></u><span style=3D"font-size:11.0pt;font-family:&qu=
ot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">The capture scene te=
xt and language should be sets of (text, language), I think is not the curr=
ent structure<u></u><u></u></span></p>



<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p>
</div><p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&q=
uot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">Thanks<u></u><u></u=
></span></p><div>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d">Roni<u></u><u></u></span>=
</p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span><=
/p>
<div>
<div style=3D"border:none;border-top:solid #b5c4df 1.0pt;padding:3.0pt 0in =
0in 0in">
<p class=3D"MsoNormal"><b><span style=3D"font-size:10.0pt;font-family:&quot=
;Tahoma&quot;,&quot;sans-serif&quot;">From:</span></b><span style=3D"font-s=
ize:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">
</span><a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank"><span sty=
le=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot=
;">clue-bounces@ietf.org</span></a><span style=3D"font-size:10.0pt;font-fam=
ily:&quot;Tahoma&quot;,&quot;sans-serif&quot;">
</span><a href=3D"mailto:[mailto:clue-bounces@ietf.org]" target=3D"_blank">=
<span style=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-s=
erif&quot;">[mailto:clue-bounces@ietf.org]</span></a><span style=3D"font-si=
ze:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-serif&quot;">
<b>On Behalf Of </b>Allyn Romanow (allyn)<br>
<b>Sent:</b> 18 July, 2012 3:22 AM<br>
<b>To:</b> CLUE (</span><a href=3D"mailto:clue@ietf.org" target=3D"_blank">=
<span style=3D"font-size:10.0pt;font-family:&quot;Tahoma&quot;,&quot;sans-s=
erif&quot;">clue@ietf.org</span></a><span style=3D"font-size:10.0pt;font-fa=
mily:&quot;Tahoma&quot;,&quot;sans-serif&quot;">)<br>



<b>Subject:</b> [clue] a few issues on data model draft<u></u><u></u></span=
></p>
</div>
</div>
<p class=3D"MsoNormal"><u></u>=A0<u></u></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">Folks,</span><u></u>=
<u></u></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">There are several is=
sues related to the data model that we=92d like us to consider. These are t=
hings that are not exactly the same as in the framework, to a lesser or gre=
ater extent. They were brought up during the data
 model presentation at the interim meeting. I wonder if we could work on re=
solving them?<u></u><u></u></span></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">List based on draft-=
romanow-clue-data-model-01</span><u></u><u></u></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">1.</span><span style=3D"font-size:7.0pt">=A0
</span><span style=3D"font-family:&quot;Courier New&quot;">Any problem with=
 using media-type for capture attribute as described in the draft?<u></u><u=
></u></span></p>
</div><p style=3D"margin-left:.5in"><span style=3D"color:#1f497d">RE: OK</s=
pan></p><div><br>
EBE&gt; Supported, since its allow us to join the audio and video encodings=
 into a single list of encodings.
<u></u><u></u></div><p></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">2.</span><span style=3D"font-size:7.0pt">=A0
</span><span style=3D"font-family:&quot;Courier New&quot;">Any problem with=
 using content-type for capture attribute as described in the draft?<u></u>=
<u></u></span></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1f497d"></span></p><div>=A0=A0=A0=A0=A0=A0=A0=A0=A0=
=A0=A0=A0=A0=A0=A0 RE: I did not see any difference from the framework in w=
hich case I am OK.<br>
</div><div>
=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 EBE&gt; The framework use the =
=91content=92 name and the data model the =91content-type=92 name. Why not =
use the same name? =A0<u></u><u></u></div><p></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1f497d">AR- as above<u></u><u></u></span></p><div>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">3.</span><span style=3D"font-size:7.0pt">=A0
</span><span style=3D"font-family:&quot;Courier New&quot;">DERIVED for capt=
ure attribute- Should we have a variable called something like DERIVED, tha=
t takes various values, one of which is composed. That would mean that if D=
ERIVED is not =3Dcomposed, that the capture is
 not composed, and if it =3Dcomposed then it is. I don=92t have another des=
criptor to propose now, but there could be others either now or later.</spa=
n><u></u><u></u></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">Why this change from the framework? I think it is more general than =
composed Boolean, yet semantically similar.<u></u><u></u></span></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">This does not prevent us from having qualifiers to describe composed=
, to help =A0distinguish between different composed captures, as has =A0bee=
n discussed. Also, it needs to be possible to have
 multiple values for =93DERIVED=94, that is the values should not be mutual=
ly exclusive.<u></u><u></u></span></p>
</div><p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&q=
uot;sans-serif&quot;;color:#1f497d"></span></p><div>=A0=A0=A0=A0=A0=A0=A0=
=A0=A0=A0=A0=A0=A0=A0=A0 RE:=A0 I am OK if this is for future extension but=
 am not sure about the structure =A0the high level derived which has Compos=
e and future something (not sure what).
 The composed has a value (true, false) and child elements for extensions .=
 Is this the proposed structure?<br></div><div>
EBE&gt; I like the idea of describing the origin of the capture with an att=
ribute that is more extensible than a Boolean. What about creating enumerat=
ed values for the two origins we are currently discussing. We have =91compo=
sed=92 (composed=3Dtrue) meaning that the
 media has been changed in some way and original (composed=3Dfalse). <u></u=
><u></u></div><p></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">4.=A0 Leave switched as a Boolean as in framework. The proposal in t=
he draft seems infeasible =96 we don=92t want CLUE =A0to have to include al=
l the ways in which products might want to implement switching.
 It would be better to make this more general, but we have no suggestion fo=
r it at present- it does not really match the meaning of a derived capture.=
<u></u><u></u></span></p><div>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1f497d">=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=
 RE: I think that if we have the extension for composed as I outlined above=
 we can have similar here.<u></u><u></u></span></p>



</div><p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courie=
r New&quot;">5.</span><span style=3D"font-size:7.0pt">=A0
</span><span style=3D"font-family:&quot;Courier New&quot;">As part of the c=
apture description, should we have a parameter NATIVE-ASPECT-RATIO, which i=
ndicates the aspect ratio for the capture if there is one, such as 4:3 for =
a video camera? The reason is that it can help
 rendering.</span></p><div><br>
<br>
Currently it is not possible to tell whether a remote video source is nativ=
ely 4:3 or 16:9, for instance. If we have this, there might usefully be a &=
quot;PREFERRED-ASPECT-RATIO&quot; in the consumer&#39;s stream selection me=
ssage as part of the =A0(e.g. in &quot;&lt;stream-description&gt;
 / &lt;encoding&gt;&quot;).<u></u><u></u></div><p></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1f497d"></span></p><div>=A0=A0=A0=A0=A0=A0=A0=A0=A0=
=A0=A0=A0=A0=A0=A0 RE: No need, first of all it does not work with switched=
 capture that may have different aspect ratios. Also this is available in t=
he SDP as well as a way for
 receiver to ask for specific ratio using the SDP image attribute.<br></div=
><div>
EBE&gt; The image attribute (RFC6236) document talks about image resolution=
 and picture aspect ratio, and how they relates to codec specific parameter=
s like h264 max-fs and max-mbps. =A0An attribute can have a single value, a=
 list of values or a range.
<u></u><u></u></div><p></p>
<p style=3D"margin-left:.5in"><span style=3D"font-family:&quot;Courier New&=
quot;">6.</span><span style=3D"font-size:7.0pt">=A0 =A0</span><span style=
=3D"font-family:&quot;Courier New&quot;">Multiplex ID =96 Value sent by con=
sumer in its stream selection message with the encoding id and capture
 id. This is the mechanism by which the consumer tells the provider which m=
ultiplex id to generate that stream with, so that the consumer can demultip=
lex the stream correctly when receiving it.
<br></span></p><div>
This is the link between RTP and CLUE as discussed in draft-lennox-clue-rtp=
-usage.<u></u><u></u></div><p></p><div>
<p style=3D"margin-bottom:12.0pt"><span style=3D"font-family:&quot;Courier =
New&quot;">=A0=A0=A0=A0 Think should probably be re-named.<u></u><u></u></s=
pan></p>
<p style=3D"margin-bottom:12.0pt"><span style=3D"font-size:11.0pt;font-fami=
ly:&quot;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">=A0=A0=A0=A0=
=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 RE: I do not see the need the mapping is to =
the capture ID which is a numeric value. See
</span><a href=3D"http://tools.ietf.org/html/draft-even-clue-rtp-mapping-03=
" target=3D"_blank"><span style=3D"font-size:11.0pt;font-family:&quot;Calib=
ri&quot;,&quot;sans-serif&quot;">http://tools.ietf.org/html/draft-even-clue=
-rtp-mapping-03</span></a><span style=3D"font-size:11.0pt;font-family:&quot=
;Calibri&quot;,&quot;sans-serif&quot;;color:#1f497d">
<u></u><u></u></span></p>
</div><p>=A0=A0 =A0=A0=A0=A0=A0=A0=A0=A0<span style=3D"font-family:&quot;Co=
urier New&quot;">7.</span><span style=3D"font-size:7.0pt;font-family:&quot;=
Courier New&quot;">=A0
</span><span style=3D"font-family:&quot;Courier New&quot;">AUDIO-RENDERING-=
ID =96 =A0If the notion of an audio rendering tag is<u></u><u></u></span></=
p><div>
<p><span style=3D"font-family:&quot;Courier New&quot;">=A0=A0 =A0=A0adopted=
, this would be needed. It is an ID provided by the consumer to the<u></u><=
u></u></span></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">=A0=A0=A0 =A0provide=
r. The provider uses the tag to associate an audio stream with a video<u></=
u><u></u></span></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">=A0=A0=A0=A0stream.<=
u></u><u></u></span></p>
</div><p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&q=
uot;sans-serif&quot;;color:#1f497d"></span></p><div>=A0=A0=A0=A0=A0=A0=A0=
=A0=A0=A0=A0=A0=A0=A0=A0 RE; suggest to take this out at the moment until w=
e agree if needed and how to map.<br>


</div><div>
EBE&gt; I assume that matching RTCP SDES CNAME is still the preferred mecha=
nisms for syncing audio and video for lip-sync (as defined in RFC3550). Whe=
n we discussed audio tags last interim it as was presented as a tool for im=
proving directional audio.
</div><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot=
;sans-serif&quot;"><u></u><u></u></span><p></p>
<p><span style=3D"font-size:11.0pt;font-family:&quot;Calibri&quot;,&quot;sa=
ns-serif&quot;;color:#1f497d"><u></u>=A0<u></u></span></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">Clearly this doesn=
=92t cover all the data model issues, but it=92s a start.<u></u><u></u></sp=
an></p>
<p><span style=3D"font-family:&quot;Courier New&quot;"><u></u>=A0<u></u></s=
pan></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">Thanks,<u></u><u></u=
></span></p>
<p><span style=3D"font-family:&quot;Courier New&quot;">Andy and Allyn<u></u=
><u></u></span></p>
<p class=3D"MsoNormal"><u></u>=A0<u></u></p>
<p class=3D"MsoNormal"><span style=3D"font-size:11.0pt;font-family:&quot;Ca=
libri&quot;,&quot;sans-serif&quot;"><u></u>=A0<u></u></span></p>
</div>
</div>

<br>_______________________________________________<br>
clue mailing list<br>
<a href=3D"mailto:clue@ietf.org" target=3D"_blank">clue@ietf.org</a><br>
<a href=3D"https://www.ietf.org/mailman/listinfo/clue" target=3D"_blank">ht=
tps://www.ietf.org/mailman/listinfo/clue</a><br>
<br></blockquote></div><br>

--047d7b6dcb3e7cb8b104c628b64b--

From ron.even.tlv@gmail.com  Tue Jul 31 17:26:39 2012
Return-Path: <ron.even.tlv@gmail.com>
X-Original-To: clue@ietfa.amsl.com
Delivered-To: clue@ietfa.amsl.com
Received: from localhost (localhost [127.0.0.1]) by ietfa.amsl.com (Postfix) with ESMTP id B557711E8143 for <clue@ietfa.amsl.com>; Tue, 31 Jul 2012 17:26:39 -0700 (PDT)
X-Virus-Scanned: amavisd-new at amsl.com
X-Spam-Flag: NO
X-Spam-Score: -3.598
X-Spam-Level: 
X-Spam-Status: No, score=-3.598 tagged_above=-999 required=5 tests=[BAYES_00=-2.599, HTML_MESSAGE=0.001, RCVD_IN_DNSWL_LOW=-1]
Received: from mail.ietf.org ([12.22.58.30]) by localhost (ietfa.amsl.com [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id d-XdaZJA8gbZ for <clue@ietfa.amsl.com>; Tue, 31 Jul 2012 17:26:32 -0700 (PDT)
Received: from mail-yx0-f172.google.com (mail-yx0-f172.google.com [209.85.213.172]) by ietfa.amsl.com (Postfix) with ESMTP id 661A221F84C5 for <clue@ietf.org>; Tue, 31 Jul 2012 17:26:32 -0700 (PDT)
Received: by yenq13 with SMTP id q13so7269022yen.31 for <clue@ietf.org>; Tue, 31 Jul 2012 17:26:32 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=from:to:cc:references:in-reply-to:subject:date:message-id :mime-version:content-type:x-mailer:thread-index:content-language; bh=Ztl4RX5XJ3GsKrwgwa2UwAdeo82f63SIVRJjCm7Vd9I=; b=DbX9/9/xbOo6nztLW5OXWoTXyeONLOCox4nMk5objzHberiJzDiKkv+k8VcjKBT/kF 4RfutSuyZzUVMREJlgoKr4rj1qFYEJ0N7TZEAZOFBh0rH8J9LmYPj6DtER6b/c2Xez1C OtAvpXuUkHWd/TKsz13HUy6LPSb+5CIvSVeLHDTXHGHbfVXOgNcrg3Dn4+14rme9xgeG AZCQcc+O+L6QLgvev0X+P/cKQnNePoh9v51vamlB5dGhRT49KUlL0t5bCmHXlxhRNx4v rLv8yR97bLNb+8R0Sw4Ui5FNkHru1gBAxOO5PMfpy7Ufkzp6/ILXSwwh3KBPvrvqDGRR JTMQ==
Received: by 10.66.89.166 with SMTP id bp6mr35803568pab.48.1343780791337; Tue, 31 Jul 2012 17:26:31 -0700 (PDT)
Received: from RoniE ([2001:df8:0:16:bd0a:26a8:faa8:1379]) by mx.google.com with ESMTPS id hw6sm1277929pbc.73.2012.07.31.17.26.27 (version=TLSv1/SSLv3 cipher=OTHER); Tue, 31 Jul 2012 17:26:30 -0700 (PDT)
From: "Roni Even" <ron.even.tlv@gmail.com>
To: "'Andy Pepperell'" <apeppere@gmail.com>, "'Allyn Romanow \(allyn\)'" <allyn@cisco.com>
References: <FD433719B54BFE41A70641D06F516F130F3CE8B6@xmb-aln-x02.cisco.com> <CAA86=sMqdEnytVmk=DpgPVnVUqZFWdjLfxAZ0_aeStqKfsNBJg@mail.gmail.com>
In-Reply-To: <CAA86=sMqdEnytVmk=DpgPVnVUqZFWdjLfxAZ0_aeStqKfsNBJg@mail.gmail.com>
Date: Wed, 1 Aug 2012 03:25:21 +0200
Message-ID: <003e01cd6f84$86f63120$94e29360$@gmail.com>
MIME-Version: 1.0
Content-Type: multipart/alternative; boundary="----=_NextPart_000_003F_01CD6F95.4A8EDFA0"
X-Mailer: Microsoft Outlook 14.0
Thread-Index: AQKWYUEgNa6IsauA+88Ek8WS63kd0gI/9J3nlaBFGjA=
Content-Language: en-us
Cc: 'CLUE' <clue@ietf.org>
Subject: Re: [clue] a few issues on data model draft
X-BeenThere: clue@ietf.org
X-Mailman-Version: 2.1.12
Precedence: list
List-Id: CLUE - ControLling mUltiple streams for TElepresence <clue.ietf.org>
List-Unsubscribe: <https://www.ietf.org/mailman/options/clue>, <mailto:clue-request@ietf.org?subject=unsubscribe>
List-Archive: <http://www.ietf.org/mail-archive/web/clue>
List-Post: <mailto:clue@ietf.org>
List-Help: <mailto:clue-request@ietf.org?subject=help>
List-Subscribe: <https://www.ietf.org/mailman/listinfo/clue>, <mailto:clue-request@ietf.org?subject=subscribe>
X-List-Received-Date: Wed, 01 Aug 2012 00:26:39 -0000

This is a multipart message in MIME format.

------=_NextPart_000_003F_01CD6F95.4A8EDFA0
Content-Type: text/plain;
	charset="us-ascii"
Content-Transfer-Encoding: 7bit

Andy,

The image attribute provides a better solution  to allow the consumer to ask
for a preferred image size which is not only the aspect ratio but the
resolution and pixel aspect ratio.  It can be specified per SSRC
http://tools.ietf.org/html/draft-lennox-mmusic-sdp-source-selection-03 

The consensus in RTCweb was to use this solution  based on
http://tools.ietf.org/html/draft-alvestrand-rtcweb-resolution-00 

 

Roni

 

From: Andy Pepperell [mailto:apeppere@gmail.com] 
Sent: 01 August, 2012 1:41 AM
To: Allyn Romanow (allyn)
Cc: Espen Berger (espeberg); Roni Even; CLUE
Subject: Re: [clue] a few issues on data model draft

 

>>>Currently it is not possible to tell whether a remote video source is
natively 4:3 or 16:9, for instance.
>>>If we have this, there might usefully be a "PREFERRED-ASPECT-RATIO" in
the consumer's stream selection message as part of the  (e.g. in
"<stream-description> / <encoding>").

>>Roni: RE: No need, first of all it does not work with switched capture
that may have different aspect ratios. Also this is available in the SDP as
well as a way for receiver to ask for specific ratio using the SDP image
attribute.

>AR - I'll let Andy respond to this

Many apologies for not doing so until now...

Roni, I think you're right in that at least the native aspect ratio as
potentially expressed in a provider's capture advertisement wouldn't work
for the switched capture case (or at least wouldn't work all the time - for
the endpoint case where the switched capture was a dynamic choice between
one of the "real" cameras' image then it would be possible (and
straightforward) to attach the same native aspect ratio to the switched
capture as was applicable to the non-switched captures). Even if it were
impossible to attach a "native aspect ratio" to the switched case, to my
mind this doesn't necessarily take away from the validity in this scenario
of the consumer supplying a "preferred aspect ratio" in its stream selection
message.

re: use of "imageattr" in the SDP, it's definitely pertinent here;
potentially this has some issues in relation to CLUE:

- it would have to be applied on a per m line basis (excluding payload type
differences) rather than per capture - within CLUE there would be a need (or
at least use) of the aspect ratio specification being more fine-grained and
separately specifiable per capture (this may depend in part on how we
eventually choose to manage main vs slides video in terms of RTP session
association though).

- by being in SDP, it's presumably the case that to correctly signal to the
consumer when, say, a 4:3 presentation source had been connected would
require an additional offer / answer cycle (and similarly if that source
were to be disconnected and a new 16:9 source attached) - this seems
slightly less lightweight than the equivalent operation would be if its
scope were restricted to just the CLUE provider capture advertisement. As a
side point, it also seems more heavyweight than SIP without the use of
imageattr too, where presumably the only impact of connecting such a
presentation source would be a BFCP exchange.

I'm happy to own up here to not having seen this attribute being present in
devices' SDP, so if any of the above are inaccurate due to my ignorance on
this, I apologise. It would certainly be interesting to get some sort of
picture of the adoption of "imageattr" within the vendor community - I don't
recall seeing this in use, but most of my exposure has been to systems not
necessarily running recent software versions. Obviously if the
already-defined "imageattr" does all we'd like within CLUE, then we should
use this already-defined scheme.

Regards,

Andy



On Sun, Jul 29, 2012 at 4:58 AM, Allyn Romanow (allyn) <allyn@cisco.com>
wrote:

Hi Espen,

Thanks for your comments- 

Please see below-

Also inline in response to your inline J

 

From: Espen Berger (espeberg) 
Sent: Monday, July 23, 2012 8:27 AM
To: Allyn Romanow (allyn); Roni Even; 'CLUE'


Subject: RE: [clue] a few issues on data model draft

 

I have two questions to the data model draft. 

 

The first questions is related to naming differences between the CLUE
framework and the CLUE data model. Some examples of differences. the
framework uses Description and the data model uses capture-scene-text, the
framework uses capture and the data model uses capture-description . Isn't
it natural that both documents share the same vocabulary? 

 

AR - Christian also brought this up.   I believe that the documents will not
have the same vocabulary - but the concepts are the same.     The framework
was written first and it's goal is to describe things as clearly as possible
(we're not done with that.). The data model is more formal and the language
there is not casual. It was developed after the framework, so it sort of
distils the ideas in the framework.  

 

If there is a discrepancy of meaning, that is an issue and we should
definitely sort it out. But in terms of language, I think it's fine to
either leave it different or  change the framework at some point to be more
in keeping with the data model.. but I think it's a good idea to do that
later when the data model is about agreed upon.                 

 

I've put this on the list for discussion at the IETF meeting on Weds.


 

The second questions is related to the concept of doing a data model as the
basis for both advertisement and configuration messages. Playing around with
some XML examples messages it's not obvious that the two messages types
share a common data model. I do see similarities between the initial
advertisement, the current active configuration and the advantages of be
able to describe the state of a running CLUE system. Assume this will be
sorted out when we look at the details of how to do configuration in CLUE.  

 

AR - Okay, this is interesting. Guess I'll have to wait to see more
specifically what issues arise.

 

Additional comments inline. 

 

-Espen 

 

 

From:  <mailto:clue-bounces@ietf.org> clue-bounces@ietf.org
<mailto:[mailto:clue-bounces@ietf.org]> [mailto:clue-bounces@ietf.org] On
Behalf Of Allyn Romanow (allyn)


Sent: 18. juli 2012 23:00
To: Roni Even; 'CLUE'
Subject: Re: [clue] a few issues on data model draft

 

Hi Roni,

Sure, these are easy to add-

thanks

 

From: Roni Even  <mailto:[mailto:ron.even.tlv@gmail.com]>
[mailto:ron.even.tlv@gmail.com] 

Sent: Wednesday, July 18, 2012 2:56 PM
To: Allyn Romanow (allyn); 'CLUE'
Subject: RE: [clue] a few issues on data model draft

 

Hi,

Reviewed the draft, inline for your question (BTW: not all the new
attributes here are in BOLD for example captureID)

 

Other comments

 

1.       Need to add axis of capture to the media capture (now in the
framework)

2.       The capture scene text and language should be sets of (text,
language), I think is not the current structure

 

Thanks

Roni

 

From:  <mailto:clue-bounces@ietf.org> clue-bounces@ietf.org
<mailto:[mailto:clue-bounces@ietf.org]> [mailto:clue-bounces@ietf.org] On
Behalf Of Allyn Romanow (allyn)
Sent: 18 July, 2012 3:22 AM
To: CLUE ( <mailto:clue@ietf.org> clue@ietf.org)
Subject: [clue] a few issues on data model draft

 

Folks,

There are several issues related to the data model that we'd like us to
consider. These are things that are not exactly the same as in the
framework, to a lesser or greater extent. They were brought up during the
data model presentation at the interim meeting. I wonder if we could work on
resolving them?

List based on draft-romanow-clue-data-model-01

1.  Any problem with using media-type for capture attribute as described in
the draft?

RE: OK


EBE> Supported, since its allow us to join the audio and video encodings
into a single list of encodings. 

2.  Any problem with using content-type for capture attribute as described
in the draft?

                RE: I did not see any difference from the framework in which
case I am OK.

               EBE> The framework use the 'content' name and the data model
the 'content-type' name. Why not use the same name?  

AR- as above

3.  DERIVED for capture attribute- Should we have a variable called
something like DERIVED, that takes various values, one of which is composed.
That would mean that if DERIVED is not =composed, that the capture is not
composed, and if it =composed then it is. I don't have another descriptor to
propose now, but there could be others either now or later.

Why this change from the framework? I think it is more general than composed
Boolean, yet semantically similar.

This does not prevent us from having qualifiers to describe composed, to
help  distinguish between different composed captures, as has  been
discussed. Also, it needs to be possible to have multiple values for
"DERIVED", that is the values should not be mutually exclusive.

                RE:  I am OK if this is for future extension but am not sure
about the structure  the high level derived which has Compose and future
something (not sure what). The composed has a value (true, false) and child
elements for extensions . Is this the proposed structure?

EBE> I like the idea of describing the origin of the capture with an
attribute that is more extensible than a Boolean. What about creating
enumerated values for the two origins we are currently discussing. We have
'composed' (composed=true) meaning that the media has been changed in some
way and original (composed=false). 

4.  Leave switched as a Boolean as in framework. The proposal in the draft
seems infeasible - we don't want CLUE  to have to include all the ways in
which products might want to implement switching. It would be better to make
this more general, but we have no suggestion for it at present- it does not
really match the meaning of a derived capture.

                RE: I think that if we have the extension for composed as I
outlined above we can have similar here.

5.  As part of the capture description, should we have a parameter
NATIVE-ASPECT-RATIO, which indicates the aspect ratio for the capture if
there is one, such as 4:3 for a video camera? The reason is that it can help
rendering.



Currently it is not possible to tell whether a remote video source is
natively 4:3 or 16:9, for instance. If we have this, there might usefully be
a "PREFERRED-ASPECT-RATIO" in the consumer's stream selection message as
part of the  (e.g. in "<stream-description> / <encoding>").

                RE: No need, first of all it does not work with switched
capture that may have different aspect ratios. Also this is available in the
SDP as well as a way for receiver to ask for specific ratio using the SDP
image attribute.

EBE> The image attribute (RFC6236) document talks about image resolution and
picture aspect ratio, and how they relates to codec specific parameters like
h264 max-fs and max-mbps.  An attribute can have a single value, a list of
values or a range. 

6.   Multiplex ID - Value sent by consumer in its stream selection message
with the encoding id and capture id. This is the mechanism by which the
consumer tells the provider which multiplex id to generate that stream with,
so that the consumer can demultiplex the stream correctly when receiving it.


This is the link between RTP and CLUE as discussed in
draft-lennox-clue-rtp-usage.

     Think should probably be re-named.

               RE: I do not see the need the mapping is to the capture ID
which is a numeric value. See
<http://tools.ietf.org/html/draft-even-clue-rtp-mapping-03>
http://tools.ietf.org/html/draft-even-clue-rtp-mapping-03 

           7.  AUDIO-RENDERING-ID -  If the notion of an audio rendering tag
is

     adopted, this would be needed. It is an ID provided by the consumer to
the

     provider. The provider uses the tag to associate an audio stream with a
video

    stream.

                RE; suggest to take this out at the moment until we agree if
needed and how to map.

EBE> I assume that matching RTCP SDES CNAME is still the preferred
mechanisms for syncing audio and video for lip-sync (as defined in RFC3550).
When we discussed audio tags last interim it as was presented as a tool for
improving directional audio. 

 

Clearly this doesn't cover all the data model issues, but it's a start.

 

Thanks,

Andy and Allyn

 

 


_______________________________________________
clue mailing list
clue@ietf.org
https://www.ietf.org/mailman/listinfo/clue

 


------=_NextPart_000_003F_01CD6F95.4A8EDFA0
Content-Type: text/html;
	charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" =
xmlns:o=3D"urn:schemas-microsoft-com:office:office" =
xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" =
xmlns=3D"http://www.w3.org/TR/REC-html40"><head><meta =
http-equiv=3DContent-Type content=3D"text/html; =
charset=3Dus-ascii"><meta name=3DGenerator content=3D"Microsoft Word 14 =
(filtered medium)"><style><!--
/* Font Definitions */
@font-face
	{font-family:Wingdings;
	panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
	{font-family:Wingdings;
	panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
	{font-family:Tahoma;
	panose-1:2 11 6 4 3 5 4 4 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0in;
	margin-bottom:.0001pt;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:blue;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:purple;
	text-decoration:underline;}
p
	{mso-style-priority:99;
	mso-margin-top-alt:auto;
	margin-right:0in;
	mso-margin-bottom-alt:auto;
	margin-left:0in;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
p.MsoAcetate, li.MsoAcetate, div.MsoAcetate
	{mso-style-priority:99;
	mso-style-link:"Balloon Text Char";
	margin:0in;
	margin-bottom:.0001pt;
	font-size:8.0pt;
	font-family:"Tahoma","sans-serif";}
span.BalloonTextChar
	{mso-style-name:"Balloon Text Char";
	mso-style-priority:99;
	mso-style-link:"Balloon Text";
	font-family:"Tahoma","sans-serif";}
span.EmailStyle20
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-family:"Calibri","sans-serif";}
@page WordSection1
	{size:8.5in 11.0in;
	margin:1.0in 1.25in 1.0in 1.25in;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DEN-US link=3Dblue =
vlink=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Andy,<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>The image attribute provides a better solution&nbsp; to allow the =
consumer to ask for a preferred image size which is not only the aspect =
ratio but the resolution and pixel aspect ratio. &nbsp;It can be =
specified per SSRC <a =
href=3D"http://tools.ietf.org/html/draft-lennox-mmusic-sdp-source-selecti=
on-03">http://tools.ietf.org/html/draft-lennox-mmusic-sdp-source-selectio=
n-03</a> <o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>The consensus in RTCweb was to use this solution &nbsp;based on <a =
href=3D"http://tools.ietf.org/html/draft-alvestrand-rtcweb-resolution-00"=
>http://tools.ietf.org/html/draft-alvestrand-rtcweb-resolution-00</a> =
<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Roni<o:p></o:p></span></p><p class=3DMsoNormal><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span>=
</b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
Andy Pepperell [mailto:apeppere@gmail.com] <br><b>Sent:</b> 01 August, =
2012 1:41 AM<br><b>To:</b> Allyn Romanow (allyn)<br><b>Cc:</b> Espen =
Berger (espeberg); Roni Even; CLUE<br><b>Subject:</b> Re: [clue] a few =
issues on data model draft<o:p></o:p></span></p><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal =
style=3D'margin-bottom:12.0pt'>&gt;&gt;&gt;Currently it is not possible =
to tell whether a remote video source is natively 4:3 or 16:9, for =
instance.<br>&gt;&gt;&gt;If we have this, there might usefully be a =
&quot;PREFERRED-ASPECT-RATIO&quot; in the consumer's stream selection =
message as part of the&nbsp; (e.g. in &quot;&lt;stream-description&gt; / =
&lt;encoding&gt;&quot;).<br><br>&gt;&gt;Roni: RE: No need, first of all =
it does not work with switched capture that may have different aspect =
ratios. Also this is available in the SDP as well as a way for receiver =
to ask for specific ratio using the SDP image attribute.<br><br>&gt;AR =
&#8211; I&#8217;ll let Andy respond to this<br><br>Many apologies for =
not doing so until now...<br><br>Roni, I think you're right in that at =
least the native aspect ratio as potentially expressed in a provider's =
capture advertisement wouldn't work for the switched capture case (or at =
least wouldn't work all the time - for the endpoint case where the =
switched capture was a dynamic choice between one of the =
&quot;real&quot; cameras' image then it would be possible (and =
straightforward) to attach the same native aspect ratio to the switched =
capture as was applicable to the non-switched captures). Even if it were =
impossible to attach a &quot;native aspect ratio&quot; to the switched =
case, to my mind this doesn't necessarily take away from the validity in =
this scenario of the consumer supplying a &quot;preferred aspect =
ratio&quot; in its stream selection message.<br><br>re: use of =
&quot;imageattr&quot; in the SDP, it's definitely pertinent here; =
potentially this has some issues in relation to CLUE:<br><br>- it would =
have to be applied on a per m line basis (excluding payload type =
differences) rather than per capture - within CLUE there would be a need =
(or at least use) of the aspect ratio specification being more =
fine-grained and separately specifiable per capture (this may depend in =
part on how we eventually choose to manage main vs slides video in terms =
of RTP session association though).<br><br>- by being in SDP, it's =
presumably the case that to correctly signal to the consumer when, say, =
a 4:3 presentation source had been connected would require an additional =
offer / answer cycle (and similarly if that source were to be =
disconnected and a new 16:9 source attached) - this seems slightly less =
lightweight than the equivalent operation would be if its scope were =
restricted to just the CLUE provider capture advertisement. As a side =
point, it also seems more heavyweight than SIP without the use of =
imageattr too, where presumably the only impact of connecting such a =
presentation source would be a BFCP exchange.<br><br>I'm happy to own up =
here to not having seen this attribute being present in devices' SDP, so =
if any of the above are inaccurate due to my ignorance on this, I =
apologise. It would certainly be interesting to get some sort of picture =
of the adoption of &quot;imageattr&quot; within the vendor community - I =
don't recall seeing this in use, but most of my exposure has been to =
systems not necessarily running recent software versions. Obviously if =
the already-defined &quot;imageattr&quot; does all we'd like within =
CLUE, then we should use this already-defined =
scheme.<br><br>Regards,<br><br>Andy<br><br><o:p></o:p></p><div><p =
class=3DMsoNormal>On Sun, Jul 29, 2012 at 4:58 AM, Allyn Romanow (allyn) =
&lt;<a href=3D"mailto:allyn@cisco.com" =
target=3D"_blank">allyn@cisco.com</a>&gt; =
wrote:<o:p></o:p></p><div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Hi Espen,</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Thanks for your comments- </span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Please see below-</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Also inline in response to your inline </span><span =
style=3D'font-size:11.0pt;font-family:Wingdings;color:#1F497D'>J</span><o=
:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p><div><div =
style=3D'border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in'><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span>=
</b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
Espen Berger (espeberg) <br><b>Sent:</b> Monday, July 23, 2012 8:27 =
AM<br><b>To:</b> Allyn Romanow (allyn); Roni Even; =
'CLUE'</span><o:p></o:p></p><div><p =
class=3DMsoNormal><br><b>Subject:</b> RE: [clue] a few issues on data =
model draft<o:p></o:p></p></div></div></div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>I have two questions to the data model draft. =
</span><o:p></o:p></p><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>The first questions is related to naming differences between the CLUE =
framework and the CLUE data model. Some examples of differences. the =
framework uses Description and the data model uses capture-scene-text, =
the framework uses capture and the data model uses capture-description . =
Isn&#8217;t it natural that both documents share the same vocabulary? =
</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p></div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'>AR &#8211; =
Christian also brought this up. &nbsp;&nbsp;I believe that the documents =
will not have the same vocabulary &#8211; but the concepts are the =
same.&nbsp;&nbsp;&nbsp;&nbsp; The framework was written first and =
it&#8217;s goal is to describe things as clearly as possible =
(we&#8217;re not done with that&#8230;). The data model is more formal =
and the language there is not casual. It was developed after the =
framework, so it sort of distils the ideas in the framework.&nbsp; =
</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'>&nbsp;</spa=
n><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'>If there =
is a discrepancy of meaning, that is an issue and we should definitely =
sort it out. But in terms of language, I think it&#8217;s fine to either =
leave it different or&nbsp; change the framework at some point to be =
more in keeping with the data model.. but I think it&#8217;s a good idea =
to do that later when the data model is about agreed =
upon.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&n=
bsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'>&nbsp;</spa=
n><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'>I&#8217;ve =
put this on the list for discussion at the IETF meeting on =
Weds.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&n=
bsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp=
;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; =
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&n=
bsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp=
;&nbsp;&nbsp;&nbsp;&nbsp;</span><o:p></o:p></p><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>The second questions is related to the concept of doing a data model =
as the basis for both advertisement and configuration messages. Playing =
around with some XML examples messages it&#8217;s not obvious that the =
two messages types share a common data model. I do see similarities =
between the initial advertisement, the current active configuration and =
the advantages of be able to describe the state of a running CLUE =
system. Assume this will be sorted out when we look at the details of =
how to do configuration in CLUE. &nbsp;</span><o:p></o:p></p><p =
class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p></div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'>AR - Okay, =
this is interesting. Guess I&#8217;ll have to wait to see more =
specifically what issues arise.</span><o:p></o:p></p><p =
class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Additional comments inline. </span><o:p></o:p></p><p =
class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>-Espen </span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DEN-GB =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p><div><div =
style=3D'border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in'><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span>=
</b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
</span><a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank"><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>clue-bounces=
@ietf.org</span></a><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> </span><a =
href=3D"mailto:[mailto:clue-bounces@ietf.org]" target=3D"_blank"><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>[mailto:clue=
-bounces@ietf.org]</span></a><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> <b>On =
Behalf Of </b>Allyn Romanow (allyn)</span><o:p></o:p></p><div><p =
class=3DMsoNormal><br><b>Sent:</b> 18. juli 2012 23:00<br><b>To:</b> =
Roni Even; 'CLUE'<br><b>Subject:</b> Re: [clue] a few issues on data =
model draft<o:p></o:p></p></div></div></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
lang=3DNO-BOK>&nbsp;</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Hi Roni,</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Sure, these are easy to add-</span><o:p></o:p></p><p =
class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>thanks</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p></div><div><div =
style=3D'border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in'><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span>=
</b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
Roni Even </span><a href=3D"mailto:[mailto:ron.even.tlv@gmail.com]" =
target=3D"_blank"><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>[mailto:ron.=
even.tlv@gmail.com]</span></a><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
</span><o:p></o:p></p><div><p class=3DMsoNormal><b>Sent:</b> Wednesday, =
July 18, 2012 2:56 PM<br><b>To:</b> Allyn Romanow (allyn); =
'CLUE'<br><b>Subject:</b> RE: [clue] a few issues on data model =
draft<o:p></o:p></p></div></div></div><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Hi,</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Reviewed the draft, inline for your question (BTW: not all the new =
attributes here are in BOLD for example =
captureID)</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p></div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Other comments</span><o:p></o:p></p><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p><p><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>1.</span><span =
style=3D'font-size:7.0pt;color:#1F497D'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp; </span><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Need to add axis of capture to the media capture (now in the =
framework)</span><o:p></o:p></p><p><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>2.</span><span =
style=3D'font-size:7.0pt;color:#1F497D'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp; </span><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>The capture scene text and language should be sets of (text, =
language), I think is not the current structure</span><o:p></o:p></p><p =
class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p></div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Thanks</span><o:p></o:p></p><div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>Roni</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p><div><div =
style=3D'border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in =
0in 0in'><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span>=
</b><span style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> =
</span><a href=3D"mailto:clue-bounces@ietf.org" target=3D"_blank"><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>clue-bounces=
@ietf.org</span></a><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> </span><a =
href=3D"mailto:[mailto:clue-bounces@ietf.org]" target=3D"_blank"><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>[mailto:clue=
-bounces@ietf.org]</span></a><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'> <b>On =
Behalf Of </b>Allyn Romanow (allyn)<br><b>Sent:</b> 18 July, 2012 3:22 =
AM<br><b>To:</b> CLUE (</span><a href=3D"mailto:clue@ietf.org" =
target=3D"_blank"><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>clue@ietf.or=
g</span></a><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif"'>)<br><b>Subj=
ect:</b> [clue] a few issues on data model =
draft</span><o:p></o:p></p></div></div><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><p><span style=3D'font-family:"Courier =
New"'>Folks,</span><o:p></o:p></p><p><span style=3D'font-family:"Courier =
New"'>There are several issues related to the data model that we&#8217;d =
like us to consider. These are things that are not exactly the same as =
in the framework, to a lesser or greater extent. They were brought up =
during the data model presentation at the interim meeting. I wonder if =
we could work on resolving them?</span><o:p></o:p></p><p><span =
style=3D'font-family:"Courier New"'>List based on =
draft-romanow-clue-data-model-01</span><o:p></o:p></p><p =
style=3D'margin-left:.5in'><span style=3D'font-family:"Courier =
New"'>1.</span><span style=3D'font-size:7.0pt'>&nbsp; </span><span =
style=3D'font-family:"Courier New"'>Any problem with using media-type =
for capture attribute as described in the =
draft?</span><o:p></o:p></p></div><p style=3D'margin-left:.5in'><span =
style=3D'color:#1F497D'>RE: OK</span><o:p></o:p></p><div><p =
class=3DMsoNormal><br>EBE&gt; Supported, since its allow us to join the =
audio and video encodings into a single list of encodings. =
<o:p></o:p></p></div><p style=3D'margin-left:.5in'><span =
style=3D'font-family:"Courier New"'>2.</span><span =
style=3D'font-size:7.0pt'>&nbsp; </span><span =
style=3D'font-family:"Courier New"'>Any problem with using content-type =
for capture attribute as described in the =
draft?</span><o:p></o:p></p><div><p =
class=3DMsoNormal>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: I did not see any difference =
from the framework in which case I am OK.<o:p></o:p></p></div><div><p =
class=3DMsoNormal>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp; EBE&gt; The framework use the =
&#8216;content&#8217; name and the data model the =
&#8216;content-type&#8217; name. Why not use the same name? =
&nbsp;<o:p></o:p></p></div><p><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>AR- as above</span><o:p></o:p></p><div><p =
style=3D'margin-left:.5in'><span style=3D'font-family:"Courier =
New"'>3.</span><span style=3D'font-size:7.0pt'>&nbsp; </span><span =
style=3D'font-family:"Courier New"'>DERIVED for capture attribute- =
Should we have a variable called something like DERIVED, that takes =
various values, one of which is composed. That would mean that if =
DERIVED is not =3Dcomposed, that the capture is not composed, and if it =
=3Dcomposed then it is. I don&#8217;t have another descriptor to propose =
now, but there could be others either now or =
later.</span><o:p></o:p></p><p style=3D'margin-left:.5in'><span =
style=3D'font-family:"Courier New"'>Why this change from the framework? =
I think it is more general than composed Boolean, yet semantically =
similar.</span><o:p></o:p></p><p style=3D'margin-left:.5in'><span =
style=3D'font-family:"Courier New"'>This does not prevent us from having =
qualifiers to describe composed, to help &nbsp;distinguish between =
different composed captures, as has &nbsp;been discussed. Also, it needs =
to be possible to have multiple values for &#8220;DERIVED&#8221;, that =
is the values should not be mutually =
exclusive.</span><o:p></o:p></p></div><div><p =
class=3DMsoNormal>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE:&nbsp; I am OK if this is for =
future extension but am not sure about the structure &nbsp;the high =
level derived which has Compose and future something (not sure what). =
The composed has a value (true, false) and child elements for extensions =
. Is this the proposed structure?<o:p></o:p></p></div><div><p =
class=3DMsoNormal>EBE&gt; I like the idea of describing the origin of =
the capture with an attribute that is more extensible than a Boolean. =
What about creating enumerated values for the two origins we are =
currently discussing. We have &#8216;composed&#8217; (composed=3Dtrue) =
meaning that the media has been changed in some way and original =
(composed=3Dfalse). <o:p></o:p></p></div><p =
style=3D'margin-left:.5in'><span style=3D'font-family:"Courier =
New"'>4.&nbsp; Leave switched as a Boolean as in framework. The proposal =
in the draft seems infeasible &#8211; we don&#8217;t want CLUE &nbsp;to =
have to include all the ways in which products might want to implement =
switching. It would be better to make this more general, but we have no =
suggestion for it at present- it does not really match the meaning of a =
derived capture.</span><o:p></o:p></p><div><p><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp; RE: I think that if we have the extension for =
composed as I outlined above we can have similar =
here.</span><o:p></o:p></p></div><p style=3D'margin-left:.5in'><span =
style=3D'font-family:"Courier New"'>5.</span><span =
style=3D'font-size:7.0pt'>&nbsp; </span><span =
style=3D'font-family:"Courier New"'>As part of the capture description, =
should we have a parameter NATIVE-ASPECT-RATIO, which indicates the =
aspect ratio for the capture if there is one, such as 4:3 for a video =
camera? The reason is that it can help =
rendering.</span><o:p></o:p></p><div><p =
class=3DMsoNormal><br><br>Currently it is not possible to tell whether a =
remote video source is natively 4:3 or 16:9, for instance. If we have =
this, there might usefully be a &quot;PREFERRED-ASPECT-RATIO&quot; in =
the consumer's stream selection message as part of the &nbsp;(e.g. in =
&quot;&lt;stream-description&gt; / =
&lt;encoding&gt;&quot;).<o:p></o:p></p></div><div><p =
class=3DMsoNormal>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE: No need, first of all it does =
not work with switched capture that may have different aspect ratios. =
Also this is available in the SDP as well as a way for receiver to ask =
for specific ratio using the SDP image =
attribute.<o:p></o:p></p></div><div><p class=3DMsoNormal>EBE&gt; The =
image attribute (RFC6236) document talks about image resolution and =
picture aspect ratio, and how they relates to codec specific parameters =
like h264 max-fs and max-mbps. &nbsp;An attribute can have a single =
value, a list of values or a range. <o:p></o:p></p></div><p =
style=3D'margin-left:.5in'><span style=3D'font-family:"Courier =
New"'>6.</span><span style=3D'font-size:7.0pt'>&nbsp; &nbsp;</span><span =
style=3D'font-family:"Courier New"'>Multiplex ID &#8211; Value sent by =
consumer in its stream selection message with the encoding id and =
capture id. This is the mechanism by which the consumer tells the =
provider which multiplex id to generate that stream with, so that the =
consumer can demultiplex the stream correctly when receiving it. =
</span><o:p></o:p></p><div><p class=3DMsoNormal>This is the link between =
RTP and CLUE as discussed in =
draft-lennox-clue-rtp-usage.<o:p></o:p></p></div><div><p =
style=3D'margin-bottom:12.0pt'><span style=3D'font-family:"Courier =
New"'>&nbsp;&nbsp;&nbsp;&nbsp; Think should probably be =
re-named.</span><o:p></o:p></p><p style=3D'margin-bottom:12.0pt'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp; RE: I do not see the need the mapping is to the capture =
ID which is a numeric value. See </span><a =
href=3D"http://tools.ietf.org/html/draft-even-clue-rtp-mapping-03" =
target=3D"_blank"><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'>http://tool=
s.ietf.org/html/draft-even-clue-rtp-mapping-03</span></a><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'> </span><o:p></o:p></p></div><p>&nbsp;&nbsp; =
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<span =
style=3D'font-family:"Courier New"'>7.</span><span =
style=3D'font-size:7.0pt;font-family:"Courier New"'>&nbsp; </span><span =
style=3D'font-family:"Courier New"'>AUDIO-RENDERING-ID &#8211; &nbsp;If =
the notion of an audio rendering tag =
is</span><o:p></o:p></p><div><p><span style=3D'font-family:"Courier =
New"'>&nbsp;&nbsp; &nbsp;&nbsp;adopted, this would be needed. It is an =
ID provided by the consumer to the</span><o:p></o:p></p><p><span =
style=3D'font-family:"Courier New"'>&nbsp;&nbsp;&nbsp; &nbsp;provider. =
The provider uses the tag to associate an audio stream with a =
video</span><o:p></o:p></p><p><span style=3D'font-family:"Courier =
New"'>&nbsp;&nbsp;&nbsp;&nbsp;stream.</span><o:p></o:p></p></div><div><p =
class=3DMsoNormal>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RE; suggest to take this out at the =
moment until we agree if needed and how to =
map.<o:p></o:p></p></div><div><p class=3DMsoNormal>EBE&gt; I assume that =
matching RTCP SDES CNAME is still the preferred mechanisms for syncing =
audio and video for lip-sync (as defined in RFC3550). When we discussed =
audio tags last interim it as was presented as a tool for improving =
directional audio. <o:p></o:p></p></div><p><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497=
D'>&nbsp;</span><o:p></o:p></p><p><span style=3D'font-family:"Courier =
New"'>Clearly this doesn&#8217;t cover all the data model issues, but =
it&#8217;s a start.</span><o:p></o:p></p><p><span =
style=3D'font-family:"Courier New"'>&nbsp;</span><o:p></o:p></p><p><span =
style=3D'font-family:"Courier =
New"'>Thanks,</span><o:p></o:p></p><p><span =
style=3D'font-family:"Courier New"'>Andy and =
Allyn</span><o:p></o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'>&nbsp;<o:p><=
/o:p></p><p class=3DMsoNormal =
style=3D'mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span =
style=3D'font-size:11.0pt;font-family:"Calibri","sans-serif"'>&nbsp;</spa=
n><o:p></o:p></p></div></div><p class=3DMsoNormal =
style=3D'margin-bottom:12.0pt'><br>______________________________________=
_________<br>clue mailing list<br><a href=3D"mailto:clue@ietf.org" =
target=3D"_blank">clue@ietf.org</a><br><a =
href=3D"https://www.ietf.org/mailman/listinfo/clue" =
target=3D"_blank">https://www.ietf.org/mailman/listinfo/clue</a><o:p></o:=
p></p></div><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div></body></html>
------=_NextPart_000_003F_01CD6F95.4A8EDFA0--

