CFP

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THEME AND SCOPE

Why knowledge discovery in multimedia databases ?
It is well known that multimedia information explodes in lots of areas, this phenomenon is amplified with the Internet. It is well known too, that knowledge discovery extracts relevant and hidden relationships from large amount of information in order to permit the users to understand the content and to take quickly accurate decisions, based on these relevant discovered relationships.
The conjunction of knowledge discovery and multimedia databases is a very important challenge. It means, we discover hidden knowledge from large volumes of information independently of their nature. So information may be structural such as relational data or non structured information such as texts, images, videos, audio and virtual data. Such challenge requires technologies that turn around the database management system, data mining and multimedia information.

The objective of this special session is to find answers to the following questions :

• What are the problems and the applications addressed by the
• knowledge discovery in multimedia databases ?
• Are the knowledge discovery in multimedia databases a real
• research problem or an ephemera research phenomenon ?
• What are the advanced architectures of the knowledge discovery in
• multimedia databases ?
• What are the suitable multimedia representations ? (MPEG7, MPEG4,
• SMIL)
• What about the classical database management system functions in the advanced architectures ?
• How to adapt database management system technologies to multimedia data that are complex (spatial and temporal features) and not structured in order to support knowledge discovery techniques ?

A number of research areas are concerned by the topic :

• Discovering User Semantics in Content-Based Retrieval
• Content-based multimedia indexing and retrieval
• Knowledge discovery
• Database management system
• Standardization models (MPEG7, MPEG4, SMIL)
• Data description languages and meta data (XML, RDF, etc.)
• Data formats (MP3, JPEG, MPEG, etc.)
• Knowledge visualization
• Knowledge representation and acquisition
• machine learning
• Multimedia applications
•  ......

Finding efficient solutions for Multimedia databases and knowledge discovery are themselves important challenges of the 20th century, and linking them together generates an amplified challenge of the 21st century.

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PAPER SUBMISSION

Each paper should have a cover page, on a separate sheet, which includes the title, author(s) and affiliation(s), a half-page abstract, and a list of keywords (up to six). Although printed copies are acceptable, electronic submission in PostScript/PDF/MS-Word format is encouraged.

All papers will be reviewed by up to three referees for technical merit and content. Papers accepted for presentation will appear in the conference proceedings, which will be available to delegates at the conference site.

Best papers and best student papers (a student should be the principal author and presenter of the submitted paper) will be selected based on both the quality of the written paper and its presentation.

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ORGANISATION

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IMPORTANT DATES