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MDMM 2009: 3rd International Workshop on Multimedia Data
Mining and Management
August 31 ~ September 4, Linz,
Austria
in conjunction with
20th International Conference on DEXA 2009 |
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- [New] Abstract and
Paper submission due are extended:
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Abstract Submission:
March 8, 2009
March 29, 2009
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Full
Paper Submission:
March 15, 2009
April 5, 2009
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Workshop Title |
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MDMM 2009: 3rd International Workshop on Multimedia Data Mining
and Management |
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Workshop description and objective |
With the recent advances in electronic imaging, video
devices, storage, networking and computer power, the amount of
multimedia has grown enormously, and data mining has become a
popular way of discovering new knowledge from such a large data
sets. Multimedia data mining is a discipline which brings
together database systems, artificial intelligence, and
multimedia processing, such as image and video processing. It is
important to understand what is multimedia data mining, how data
mining techniques can contribute to discover new knowledge, how
to organize and manage the discovered knowledge and concepts.
The multimedia data appear in multiple forms including audio,
speech, text, web, image, video and combinations of several
types.
In this workshop, we aim to solicit papers that address the
technical challenges in mining multimedia data and management.
Through the workshop, we expect to bring together experts in
analysis of multimedia data, state-of-art data mining and
knowledge discovery in multimedia database systems, and domain
experts in diverse areas, such as medical, surveillance, and
education.
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| Topics |
Topics of contributions
include (but are not limited to):
Algorithms and Models
• Association rules for multimedia data mining
• Clustering algorithms for multimedia data mining
• Classification algorithms for multimedia data mining
• Conceptual clustering for multimedia data mining
• Neural networks for multimedia data mining
• Parallel and distributed data mining for multimedia data
• Multimedia data mining in pervasive computing
• Multimedia ontology
• Stream data mining algorithms
• Spatio-Temporal data mining and algorithms
Applications
• Audio/Image/Video DBMSs
• Data mining system for medical multimedia data
• Multimedia segmentation
• Visualization
• Semantic web and annotation
• Summarization and abstraction
• Video abstraction
• Contents-based image/video retrieval systems
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