3rd International Workshop on Semantic Learning

and Applications in Multimedia (the new SLAM)

in association with CVPR 2008, Anchorage, Alaska


Workshop date (full-day):              06/27/08
Paper submission:                      03/15/08
Notification of acceptance:            04/15/08
Receipt of camera ready copy:       05/01/08


The use of semantic knowledge in multimedia is rapidly becoming more widespread and significant.  In areas such as multimedia content analysis, media integration, semantic cues and knowledge are being used to achieve performance that is not attainable by purely bottom-up, data-driven approaches.  In many applications, meaningful multimedia content recognition is not possible without contextual, semantic support.  However, many fundamental challenges still remain.

This workshop will bring together an interdisciplinary group of researchers in computer vision, speech/music recognition, knowledge representation and ontologies, machine learning, natural language and other areas to examine the issues and recent results in using semantic knowledge to enhance multimedia.  Recent progress in machine learning has enabled the rigorous management of uncertainty in large-scale reasoning problems, and this has stimulated the use of semantic methods and reasoning in multimedia.  Simultaneously, the natural language and artificial intelligence communities have developed large computational models and databases of semantic knowledge.  The multimedia communities are using both evidential reasoning methods and semantic knowledge bases to fuse multiple data sources for intelligent multimedia content analysis, integration, and delivery.

Papers are solicited in all disciplines related to the central theme, including but not limited to:

o use of knowledgebases/ontologies for multimedia problems
o new ontologies for visual objects, video events, etc.
o new ontologies for audio objects, audio scenes/events, etc.
o user-centric multimedia ontologies
o unsupervised learning of event ontologies
o automatic multimedia concept detection
o semantic representations of spatio-temporal data
o context-based recognition
o high-level event recognition
o semantic image, audio, music, and video annotation
o semantic event-based retrieval of audio/music/video
o content-based queries and use cases
o integration of vision and natural language
o learning vs. prior, structured knowledge
o probabilistic models for dynamic systems
o temporal logic in speech and vision
o multi-agent multi-threaded representations
o situational awareness through audio-visual perception
o intelligent media agents and middleware



PROGRAM

The program will emphasize invited talks from researchers working on multimedia related fields,
while approximately half of the program will consist of open submission papers.
In addition, the program will feature two keynote speeches and one panel discussion.


ORGANIZATION

General Chairs:



Tom Huang, University of Illinois at Urbana-Champaign

Qiang Ji, Rensselaer Polytechnic Institute

Jiebo Luo, Kodak Research Labs



Program Committee:



Selim Aksoy, Bilkent University

Kobus Barnard, University of Arizona

Serge Belongie, UCSD

Matthew Boutell, Rose-Hulman Institute of Technology

Tat-Seng Chua, NUS

Li Deng, Microsoft Research

Guoliang Fan, Oklahoma State University

Jianping Fan, University of North Carolina at Charlotte

Alan Hanjalic, Delft University of Technology

Anthony Hoogs, GE Global Research

Xian-Sheng Hua, Microsoft Research Asia

Horace Ip, City University of Hong Kong

Svetlana Lazebnik, UNC

Jim Little, UBC

Christopher Pal, University of Rochester

Nemanja Petrovic, Google, Inc.

Andreas Savakis, Rochester Institute of Technology

Nicu Sebe, U Amsterdam

Mubarak Shah, UCF

John R. Smith, IBM

Rahul Sukthankar, Intel Research Pittsburg

Qibin Sun, Institute for Infocomm Research

Qi Tian, University of Texas at San Antonio

Antonio Torralba, MIT

George Tzanetakis, University of Victoria

James Wang, Pennsylvania State University

Yi Wu, Intel Research

Zhongfei Zhang, SUNY Binghamton

Song-Chun Zhu, UCLA



PAPER SUBMISSION



In keeping with the spirit of a workshop, submitted papers may emphasize intellectual risks and
argue for ideas that do not yet have comprehensive experimental support.
Hence papers may not need to describe fully developed algorithms, methods, or results as
would normally be required for acceptance at CVPR.



Papers describing novel, unpublished research are solicited in the areas listed above and
closely related topics. Reviewing will be by members of the program committee. Each paper will
receive at least two reviews.  Acceptance will be based on relevance to the workshop, novelty, and
technical quality. Papers should be at most 8 pages in length, in the same style format as CVPR,
and encoded as pdf. All accepted papers will be included in the electronic CVPR proceedings.



To submit a paper, please go to EDAS at http://edas.info/papers.php?c=6391 and login into the EDAS using
your email address. If you are the first time user of EDAS, you need register first. After login,
click the Submit Paper tab on the upper left corner.  Search for the SLAM08 in the listing of conferences
and then click the Submit button on the right.

For the latest information on this workshop. visit 
http://www.ecse.rpi.edu/slam08