MultiMediaMiner: a system prototype for multimedia data mining

Authors:
Osmar R. Zaïane;Jiawei Han;Ze-Nian Li;Sonny H. Chee;Jenny Y. Chiang
Affiliations:
Intelligent Database Systems Research Laboratory and Vision and Media Laboratory, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada V5A 1S6;Intelligent Database Systems Research Laboratory and Vision and Media Laboratory, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada V5A 1S6;Intelligent Database Systems Research Laboratory and Vision and Media Laboratory, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada V5A 1S6;Intelligent Database Systems Research Laboratory and Vision and Media Laboratory, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada V5A 1S6;Intelligent Database Systems Research Laboratory and Vision and Media Laboratory, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada V5A 1S6
Venue:
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Year:
1998

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Abstract

Multimedia data mining is the mining of high-level multimedia information and knowledge from large multimedia databases. A multimedia data mining system prototype, MultiMediaMiner, has been designed and developed. It includes the construction of a multimedia data cube which facilitates multiple dimensional analysis of multimedia data, primarily based on visual content, and the mining of multiple kinds of knowledge, including summarization, comparison, classification, association, and clustering.