4th International Workshop on Semantic
Learning
and
Applications in Multimedia
in association
with CVPR 2009
Workshop date
(full-day): June 21,
2009
Paper submission:
3/16/09
Notification of
acceptance: 4/7/09
Receipt
of camera ready copy: 4/13/09
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 include both
invited talks from researchers working on multimedia related fields, as well as
open submission papers. In
addition, the program will feature two keynote speeches and
one panel discussion.
ORGANIZATION
General Chairs:
Tom Huang,
Qiang Ji, Rensselaer Polytechnic
Institute
Jiebo Luo, Kodak Research Labs
Program Committee:
Kobus Barnard, University of Arizona
Serge Belongie,
UCSD
Matthew Boutell,
Rose-Hulman Institute of Technology
Daniel Ellis, Columbia
University
Guoliang Fan, Oklahoma State University
Jianping Fan, University of North Carolina at Charlotte
Yun Fu, BBN Technologies
Alan Hanjalic,
Delft University of Technology
Anthony Hoogs,
Kitware
Xian-Sheng
Hua, Microsoft Research Asia
Horace Ip,
City University of Hong Kong
Ebroul Izquierdo, University of
London
Svetlana Lazebnik,
UNC
Jim Little, UBC
Mor Naaman, Rutgers University
Christopher Pal, University
of Rochester
Nemanja Petrovic, Google, Inc.
Visvanathan Ramesh, Siemens Corporate
Research
Nicu Sebe,
U Amsterdam
Rahul Sukthankar, Intel Research
Pittsburg
Qi Tian, University of Texas
at San Antonio/MSRA
Antonio Torralba,
MIT
George Tzanetakis,
University of Victoria
Yi Wu, Intel Research
Dong Xu,
NTU
Shuicheng Yan, NUS
Zhongfei Zhang, SUNY Binghamton
PAPER SUBMISSION
Papers describing novel, unpublished research are
solicited in the areas listed above and closely related topics. Acceptance will
be based on relevance to the workshop, novelty, and technical quality. 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 should be at most 8 pages in length, in the
same style format as
CVPR, and encoded as pdf. Submission should be anonymous and
review will be double-blind.
Reviewing will be by members of the program committee. Each paper will
receive at least two reviews. All
accepted papers will be included in the electronic CVPR proceedings. At the conclusion of the workshop, we will announce the best paper
award. The best paper selection
criteria will include both technical reviews and quality of oral
presentation.
To submit a paper, please go
to Microsoft CMT for SLAM09 at https://cmt.research.microsoft.com/SLAM09/
and login into the system using your email address. If you are the first time
user, you need register first. If
you encounter any difficulty, please contact Qiang Ji
at qji@ecse.rpi.edu