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CFP: ACM ICIMCS Special Session: Multimedia Content Analysis Using Web Scale Social Media Data

From: Benoit Huet <Benoit.Huet@eurecom.fr>
Date: Mon, 4 Apr 2011 10:03:04 +0200
To: "'Benoit Huet'" <benoit.huet@eurecom.fr>
Cc: <SIGMM@pi4.informatik.uni-mannheim.de>, <chorus1@chorus-ist.org>, <chorus2@chorus-ist.org>, <chorus3@chorus-ist.org>, <list-weknowit@iti.gr>, <mpeg-7@i5.informatik.rwth-aachen.de>, <mmkm@jiscmail.ac.uk>, <IRList@lists.shef.ac.uk>, <semantic-web@w3.org>, "'ACM ICMR'" <icmr@liacs.nl>, <ieee_icme_2011@lists.cs.ualberta.ca>
Message-ID: <001e01cbf29e$b9c45f00$2d4d1d00$@fr>
Call for Papers

Special Session: Multimedia Content Analysis Using Web Scale Social Media
Data
2 August, 2011
in
International Conference on Internet Multimedia Computing and Service
Chengdu, China
http://www.cs.cityu.edu.hk/~wuxiao/ICIMCS
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With the development of Web 2.0 technologies and popularity of digital
content capture devices, the recent years have witnessed the emerging and
booming of photo and video sharing websites (e.g., Flickr, YouTube). Massive
and increasing multimedia data and their associated metadata, context and
social information are being continuously uploaded to the web. These
so-called social media data offers new opportunities to attack the
traditional problems encountered in the online and local multimedia analysis
and understanding. Recently, more and more research efforts from academic
and industry have been dedicated to the opportunities for multimedia
research brought by the Internet. Especially, data-driven (i.e.,
search-based) approaches have been proposed to analyze multimedia content by
leveraging such web-scale social media data, which provide the possible only
way to date to annotate or understand domain-free multimedia content.
Besides, social media data are also used for tag recommendation or tag
refinement. This new media also introduces many challenging and new research
issues such as large-scale social image and video analysis and retrieval.

This special session solicits contributions on novel techniques, algorithms
and systems regarding multimedia content analysis using web-scale social
media data as well as social media mining and search. Both review paper and
technical paper are expected. Topics of interest include but are not limited
to
 *	Image annotation by mining image search results 
 *	Video annotation by similar video search
 *	Web video categorization using social information
 *	Image/Video tag refinement
 *	Machine learning methods for multimedia content analysis using
social media data
 *	Large-scale image and video indexing
 *	Scene completion, geotagging, and photo tourism using millions of
photographs 
 *	Large-scale copy detection and near-duplicate detection
 *	Social media mining and applications
 *	Corpus construction using social media data

Submissions for this session are required to follow the same format as
regular ACM ICIMCS papers with no more than 6 pages
(http://www.cs.cityu.edu.hk/~wuxiao/ICIMCS). All submitted papers will go
through a peer review process.
We will invite extended versions of selected papers for a special issue of a
top-tier multimedia journal (under discussion).


Important Dates:

Paper Submission: May 15, 2011 
Notification of Paper Acceptance: June 5, 2011 
Camera-ready Paper Due: June 15, 2011 
Special Session Date: 2 August, 2011


Organizers:

Dr. Benoit Huet
Assistant Professor
Multimedia Communications Department, EURECOM, France
Email: benoit.huet@eurecom.fr

Dr. Haojie Li
Associate Professor
School of Software, Dalian University of Technology, China
Email: hjli@dlut.edu.cn
Received on Monday, 4 April 2011 16:57:19 GMT

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