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In-Reply-To: <3FA8056F.7090707@nist.gov>
To: Paul Over <over@nist.gov>
Cc: Alan Smeaton <asmeaton@computing.dcu.ie>,
   Wessel Kraaij <Kraaij@tpd.tno.nl>
MIME-Version: 1.0
Subject: Re: Fw: TRECVID: reminder... notebook papers and registration
X-Mailer: Lotus Notes Release 6.0.2CF1 June 9, 2003
From: John R Smith <jsmith@us.ibm.com>
Message-ID: <OF49079D9F.5CA79D9B-ON85256DD9.004DAFEF-85256DD9.004FB0B3@us.ibm.com>
Date: Sun, 9 Nov 2003 09:29:05 -0500
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Hi Paul,

Please see summary as follows:

The IBM team participated in all four TRECVID tasks in 2003.  For shot 
boundary detection, the IBM results were based on the IBM CueVideo system. 
 For high-level feature detection, we submitted ten runs based on a set of 
uni-modal and multi-modal runs using statistical modeling techniques such 
as support vector machines, multi-layer perceptrons, ensemble fusion, 
validity weighted model vectors, multi-nets, discriminant model fusion, 
and ontology-based fusion.  We also created several "best-of" runs by 
automatically selecting best classifiers from above techniques.  For story 
segmentation, we used an unsupervised audio-visual clustering technique 
that incorporated a decision-tree classifier on speech transcript.  For 
search, we examined spoken-document retrieval and content-based 
techniques.  The spoken-document retrieval techniques included automatic 
and phonetic-based approaches.  We also examined spoken-document retrieval 
fusion-techniques over multiple matching functions and methods for 
re-ranking based on color blobs.  We also explored techniques for 
fully-automatic multiple example content-based retrieval.  Lastly, we 
explored search techniques that fuse content-based and spokent-document 
retrieval results based on linear weighting.

Thanks,

John

---------------------------------------------------

Manager, Pervasive Media Management
IBM T. J. Watson Research Center
30 Saw Mill River Road
Hawthorne, NY 10532
(914) 784-7320; jrsmith@watson.ibm.com

---------------------------------------------------

Paul Over <over@nist.gov> 
11/04/2003 03:00 PM

To
John R Smith/Watson/IBM@IBMUS
cc
Alan Smeaton <asmeaton@computing.dcu.ie>, Wessel Kraaij 
<Kraaij@tpd.tno.nl>
Subject
Re: Fw: TRECVID: reminder... notebook papers and registration

John R Smith wrote:
> 
> Hi Paul, Cedric,
> 
> I just wanted to inform you that the IBM team will not finish our 
> notebook paper in time.  Therefore, we are planning to bring and 
> distribute any writeups at the workshop instead.
> 
> Thanks,
> 
> John
> 

Hi John,

Alan, Wessel, and I were expecting to extract some words from
the papers about the main approaches various groups took to
the tasks they undertook - for use in the overviews. Since we
will not be getting a paper from the IBM team, can we get
something vary brief about the approaches IBM took to each
task - this week?.

Thanks,
Paul

-- 
Paul Over - Retrieval Group
                     Information Access Division
                     Information Technology Laboratory
                     National Institute of Standards and Technology
                     Bldg. 225  Rm. A211  (Mailstop 8940)
                     Gaithersburg, MD  20899-8940   USA
                     Voice: 301 975-6784    Fax: 301 975-5287 

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Content-Type: text/html; charset="US-ASCII"

<br><font size=2 face="sans-serif">Hi Paul,</font>
<br>
<br><font size=2 face="sans-serif">Please see summary as follows:</font>
<br>
<br><font size=2 face="sans-serif">The IBM team participated in all four
TRECVID tasks in 2003. &nbsp;For shot boundary detection, the IBM results
were based on the IBM CueVideo system. &nbsp;For high-level feature detection,
we submitted ten runs based on a set of uni-modal and multi-modal runs
using statistical modeling techniques such as support vector machines,
multi-layer perceptrons, ensemble fusion, validity weighted model vectors,
multi-nets, discriminant model fusion, and ontology-based fusion. &nbsp;We
also created several &quot;best-of&quot; runs by automatically selecting
best classifiers from above techniques. &nbsp;For story segmentation, we
used an unsupervised audio-visual clustering technique that incorporated
a decision-tree classifier on speech transcript. &nbsp;For search, we examined
spoken-document retrieval and content-based techniques. &nbsp;The spoken-document
retrieval techniques included automatic and phonetic-based approaches.
&nbsp;We also examined spoken-document retrieval fusion-techniques over
multiple matching functions and methods for re-ranking based on color blobs.
&nbsp;We also explored techniques for fully-automatic multiple example
content-based retrieval. &nbsp;Lastly, we explored search techniques that
fuse content-based and spokent-document retrieval results based on linear
weighting.</font>
<br>
<br><font size=2 face="sans-serif">Thanks,</font>
<br>
<br><font size=2 face="sans-serif">John</font>
<br>
<br><font size=2 face="sans-serif">---------------------------------------------------<br>
<br>
Manager, Pervasive Media Management<br>
IBM T. J. Watson Research Center<br>
30 Saw Mill River Road<br>
Hawthorne, NY 10532<br>
(914) 784-7320; jrsmith@watson.ibm.com<br>
<br>
---------------------------------------------------<br>
</font>
<br>
<br>
<br>
<table width=100%>
<tr valign=top>
<td width=40%><font size=1 face="sans-serif"><b>Paul Over &lt;over@nist.gov&gt;</b>
</font>
<p><font size=1 face="sans-serif">11/04/2003 03:00 PM</font>
<td width=59%>
<table width=100%>
<tr>
<td>
<div align=right><font size=1 face="sans-serif">To</font></div>
<td valign=top><font size=1 face="sans-serif">John R Smith/Watson/IBM@IBMUS</font>
<tr>
<td>
<div align=right><font size=1 face="sans-serif">cc</font></div>
<td valign=top><font size=1 face="sans-serif">Alan Smeaton &lt;asmeaton@computing.dcu.ie&gt;,
Wessel Kraaij &lt;Kraaij@tpd.tno.nl&gt;</font>
<tr>
<td>
<div align=right><font size=1 face="sans-serif">Subject</font></div>
<td valign=top><font size=1 face="sans-serif">Re: Fw: TRECVID: reminder...
notebook papers and registration</font></table>
<br>
<table>
<tr valign=top>
<td>
<td></table>
<br></table>
<br>
<br>
<br><font size=2><tt>John R Smith wrote:<br>
&gt; <br>
&gt; Hi Paul, Cedric,<br>
&gt; <br>
&gt; I just wanted to inform you that the IBM team will not finish our
<br>
&gt; notebook paper in time. &nbsp;Therefore, we are planning to bring
and <br>
&gt; distribute any writeups at the workshop instead.<br>
&gt; <br>
&gt; Thanks,<br>
&gt; <br>
&gt; John<br>
&gt; <br>
<br>
Hi John,<br>
<br>
Alan, Wessel, and I were expecting to extract some words from<br>
the papers about the main approaches various groups took to<br>
the tasks they undertook - for use in the overviews. Since we<br>
will not be getting a paper from the IBM team, can we get<br>
something vary brief about the approaches IBM took to each<br>
task - this week?.<br>
<br>
Thanks,<br>
Paul<br>
<br>
-- <br>
Paul Over - Retrieval Group<br>
 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;
&nbsp; &nbsp; Information Access Division<br>
 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;
&nbsp; &nbsp; Information Technology Laboratory<br>
 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;
&nbsp; &nbsp; National Institute of Standards and Technology<br>
 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;
&nbsp; &nbsp; Bldg. 225 &nbsp;Rm. A211 &nbsp;(Mailstop 8940)<br>
 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;
&nbsp; &nbsp; Gaithersburg, MD &nbsp;20899-8940 &nbsp; USA<br>
 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;
&nbsp; &nbsp; Voice: 301 975-6784 &nbsp; &nbsp;Fax: 301 975-5287 &nbsp;
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br>
<br>
</tt></font>
<br>
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