DM: MDM/KDD99 - Workshop on Multimedia Data Mining

[Simeon Simoff]

Call for Papers

MDM/KDD99 - Workshop on Multimedia Data Mining

Sunday, August 15,1999, San Diego, CA, USA,

in conjunction with KDD99: The ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD99) (August 15-18)

http://research.microsoft.com/datamine/kdd99/

The increasing application of collaborative computing and multimedia document handling in the majority of government, business and educational intra- and internets results in enormous sources of various data, organised in different structures and formats.

In order to make use of all this data, researchers in multimedia are considering the field of data mining and knowledge discovery in databases to improve 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 in research activities.

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 on less formalised fields of design, hypermedia information systems, case-based reasoning and computational modeling of creativity.

These and similar fields use a variety of data sources, spread throughout sophisticated multimedia data structures. This has generated an urgent need for new techniques and tools that can transform these rich data sources 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, and domain experts from different applied disciplines with potential in multimedia data mining. The major topics of the workshop are:

- multimedia data mining methods and algorithms;
- electronic documents - multimedia data representation and reuse of
discovered knowledge;
- content-based search, retrieval, and discovery methods;
- uncertainty management in multimedia data mining;
- complexity, efficiency and scalability of multimedia data mining
algorithms;
- the incorporation of domain knowledge;
- multimedia data mining and interactive exploration;
- integrated data mining of text and image data;
- data analysis of video and audio data.

Submissions on the above and related topics of knowledge discovery in
digital media are invited. We also encourage submissions, which 
present
early stages of research work, software applications and solutions.

WORKSHOP ORGANISERS
Simeon J. Simoff and Mary Lou Maher (simeon, mary@arch.usyd.edu.au)
Key Centre of Design Computing and Cognition
University of Sydney

SUBMISSION
There is no restriction on the length of submissions. Contact author 
and
email address should be specified. Electronic submission of papers in 
PDF, PS, RTF or Microsoft Word Document formats are preferable.
Please, e-mail electronic submissions to simeon@arch.usyd.edu.au 
with subject "MDM/KDD99".

If not submitting an electronic version, please send a hard copy 
original to:

Simeon J. Simoff
Key Centre of Design Computing and Cognition (G04)
University of Sydney, NSW 2006
Australia

DISSEMINATION
Papers accepted for presentation at the workshop will be published in
preprints of workshop proceedings. An edited collection of extended
contributions will be published as a book with Springer Verlag.

DEADLINES
Submissions Due: June 21
Acceptance: June 28
Camera ready copy: July 12

REGISTRATION
Registration for the workshop is free for the registrants of KDD-99.

Workshop attendance is limited to 60 participants only.

Full CFP and updated information on the workshop is available at

http://www.arch.usyd.edu.au/~simeon/mdm_kdd99/index.html