Next Deadline: Paper Submisions,
University of Alberta, Canada
University of Technology-Sydney, Australia
in conjunction with
The increasing application of collaborative computing and multimedia document handling in the majority of government, business and educational intra- and internets provides enormous sources of various data, organised in different structures and formats. No wonder researchers in multimedia turned towards the field of data mining and knowledge discovery in databases in the search for techniques for improving the indexing and retrieval of multimedia information. In the beginning, a variety of techniques from machine discovery, statistics, databases, knowledge acquisition, machine learning, data visualization, image analysis, high performance computing, and knowledge-based systems, have been used mainly as a research handcraft activity. The development of multimedia databases and their query interfaces recall again the idea of incorporating data mining methods for dynamic indexing. Recently data mining efforts have focused in less formalised fields of art, design, hypermedia information systems, case-based reasoning and computational modeling of creativity. These and similar fields use variety of data sources, incorporated through sophisticated digital media data structures. As a result there is an urgent need for new techniques and tools that can transform these rich data into useful information and knowledge.
The aim of this workshop is to bring together experts in analysis of digital media content, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from different applied disciplines with potential in multimedia data mining. The major topics of the workshop include but are not limited to:
There is no restriction on the length of submissions. Contact author and email address should be specified.
May 15: Submissions Due|
June 15: Acceptance Notification
July 16:Camera Ready Copy Due
August 26: Workshop Day
Electronic submission either in paper-oriented PDF, PS, RTF or Microsoft Word
Document formats, or in Web-based multimedia format are preferable.
Please, e-mail electronic submissions with subject "MDM/KDD2001" to:
Send hardcopies to:|
Osmar R. Zaïane
Department of Computing Science
University of Alberta
T6G 2H1, Canada
Simeon J. Simoff
Department of Computer Systems,
University of Technology, Sydney
NSW 2007, Australia
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