MultimediaMiner: A System Prototype for Multimedia Data Mining
- Osmar R. Zaiane, University of Alberta (Database)
- Jiawei Han
- Ze-Nian Li
- Sonny H. Chee
- Jenny Y. Chiang
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, classi fication, association, and clustering.
Citation
O. Zaiane, J. Han, Z. Li, S. Chee, J. Chiang. "MultimediaMiner: A System Prototype for Multimedia Data Mining". ACM-SIGMOD International Conference on Management of Data (SIGMOD), Seattle, United States, pp 581-583, June 1998.| Keywords: | |
| Category: | In Conference |
| Web Links: | Webdocs |
BibTeX
@incollection{Zaiane+al:(SIGMOD)98,
author = {Osmar R. Zaiane and Jiawei Han and Ze-Nian Li and Sonny H. Chee and
Jenny Y. Chiang},
title = {MultimediaMiner: A System Prototype for Multimedia Data Mining},
Pages = {581-583},
booktitle = {ACM-SIGMOD International Conference on Management of Data
(SIGMOD)},
year = 1998,
}Last Updated: February 04, 2020Submitted by Sabina P
