MultiMediaMiner: A System Prototype for Multimedia Data Mining
Osmar R. Zaiane, Jiawei Han, Ze-Nian Li, Sonny H. Chee, Jenny Chiang
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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.

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Contents
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BIBTEX

@inproceedings{DBLP:conf/sigmod/ZaianeHLCC98,
author = {Osmar R. Za\"{\i}ane and
Jiawei Han and
Ze-Nian Li and
Sonny H. Chee and
Jenny Chiang},
editor = {Laura M. Haas and
Ashutosh Tiwary},
title = {MultiMediaMiner: A System Prototype for Multimedia Data Mining},
booktitle = {SIGMOD 1998, Proceedings ACM SIGMOD International Conference
on Management of Data, June 2-4, 1998, Seattle, Washington, USA},
publisher = {ACM Press},
year = {1998},
isbn = {0-89791-955-5},
pages = {581-583},
crossref = {DBLP:conf/sigmod/98},
bibsource = {DBLP, http://dblp.uni-trier.de}
}


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