Call for Papers

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Multimedia Content Analysis, Management, and Retrieval 2006 (EI122)
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Part of the IS&T/SPIE International Symposium on Electronic Imaging
15-19 January 2006, San Jose Marriott and San Jose Convention Center, 
San Jose, California USA

Conference Chairs: 
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Edward Y. Chang, Univ. of California/Santa Barbara; 
Alan Hanjalic, Delft Univ. of Technology (Netherlands);
Nicu Sebe, Univ. van Amsterdam (Netherlands)

Recent advances in computing, communications and storage
technology have made multimedia data become prevalent.
Multimedia has gained enormous potential in improving the
processes in a wide range of fields, such as advertising and
marketing, education and training, entertainment, medicine,
surveillance, wearable computing, biometrics, and remote
sensing. Rich content of multimedia data, built through the
synergies of the information contained in different modalities,
calls for new and innovative methods for modeling,
processing, mining, organizing, and indexing of this data for
effective and efficient searching, retrieval, delivery,
management and sharing of multimedia content, as required
by the applications in the abovementioned fields. The aim of
this conference is to bring together the researchers who are
developing such methods, and the users, who are defining the
needs for such methods.

It is our intention to make this conference a premium forum
for quality papers addressing the research challenges and
applications related to multimedia content analysis,
management and retrieval. We are soliciting high-quality
submissions that:
- present novel and fresh ideas
- question existing paradigms and unwritten rules
- introduce brave new research directions.
in the following (and other related) areas:

Content Analysis
- image, audio and video characterization (feature extraction)
- fusion of text, image, video and audio data
- semantic image/video/audio classification
- multimedia semantics modeling
- image, video and audio similarity measures
- unconstrained object and face detection/recognition
- low- and high-level temporal video segmentation
- benchmarking of content analysis methods and algorithms
- generic methods and algorithms for content analysis and
semantics modeling
- affective content analysis

Content Search/Browsing/Retrieval
- multimedia mining
- active learning and relevance feedback techniques
- query models, paradigms, and languages for multimedia
content retrieval
- browsing and visualization of multimedia data sets
- user interfaces for multimedia databases
- search issues in distributed and heterogeneous systems,
meta-search engines
- benchmarking of search, browsing and retrieval methods
and algorithms
- generation of video summaries and abstractions
Content Management and Delivery
- multimedia databases
- efficient peer-to-peer storage and search techniques
- indexing and data organization
- system optimization for search and retrieval
- storage hierarchy, scalable storage

Applications
- personalized multimedia
- media commerce
- biomedical media databases
- multimedia and bioinformatics
- user-friendly multimedia
- news and entertainment
- surveillance
- wearable computing
- management of meeting/presentation recordings
- biometrics
- threat assessment, military and civilian security
applications.

The conference program will include invited keynote
presentations, invited special sessions, and a panel of
experts who will be discussing the remaining research
challenges related to multimedia content analysis,
management and retrieval.

Important Dates
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Extended Abstract (5,000 words) Due Date: 5 July 2005
Manuscript Due Date: 24 October 2005
200-word Final Summary Due Date: 14 November 2005

Proceedings of this conference will be published and available at the meeting.
For more information on this and other related conferences, 
please see http://www.electronicimaging.org

Program Committee: 
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Kiyoharu Aizawa, The Univ. of Tokyo (Japan); 
Aya Aner-Wolf, GenTech Corp. (Israel); 
Noboru Babaguchi, Osaka Univ. (Japan); 
Nozha Boujemaa, INRIA Rocquencourt (France); 
Arbee L. P. Chen, National Chengchi Univ. (Taiwan);
Tsuhan Chen, Carnegie Mellon Univ.; 
TatSeng Chua, National Univ. of Singapore (Singapore); 
Ajay Divakaran, Mitsubishi Electric Research Labs.; 
Chitra Dorai, IBM Thomas J. Watson Research Ctr.;
Arun Hampapur, IBM Thomas J. Watson Research Ctr.; 
Alexander G. Hauptmann, Carnegie Mellon Univ.; 
Alejandro Jaimes, Fuji Xerox Co., Ltd. (Japan); 
Mohan S. Kankanhalli, National Univ. of Singapore (Singapore); 
John R. Kender, Columbia Univ.; 
Anil C. Kokaram, The Univ. of Dublin, Trinity College (Ireland); 
Michael S. Lew, Leiden Institute of Advanced Computer Science (Netherlands); 
Chung-Sheng Li, IBM Corp.; 
Rainer W. Lienhart, Univ. of Augsburg (Germany); 
Wei-Ying Ma, Microsoft Research Asia (China); 
Bernard Merialdo, Institut Eurécom (France); 
Kadir A. Peker, Mitsubishi Electric Research Labs.; 
Silvia Pfeiffer, Commonwealth Scientific & Industrial Research Organisation (Australia);
Alan F. Smeaton, Dublin City Univ. (Ireland); 
John R. Smith, IBM Thomas J. Watson Research Ctr.; 
Hari Sundaram, Arizona State Univ.; 
Ahmet M. Tekalp, Univ. of Rochester; 
Qi Tian, The Univ. of Texas at San Antonio; 
Svetha Venkatesh, Curtin Univ. of Technology (Australia); 
Stephen T. C. Wong, Harvard Medical School; 
Marcel Worring, Univ. van Amsterdam (Netherlands);
Aidong Zhang, SUNY/Univ. at Buffalo