Real Time Video Scene Detection and Classification
Information Processing & Management Volume 35, Number 3, ISSN 0306-4573
Describes the VISION (video indexing for searching over networks) digital video library system which was developed at the University of Kansas as a testbed for evaluating automatic and comprehensive mechanisms for library creation and content-based search and retrieval of video over local and wide area networks. Discusses experimental results. (AEF)
Gauch, J.M., Gauch, S., Bouix, S. & Zhu, X. (1999). Real Time Video Scene Detection and Classification. Information Processing & Management, 35(3), 381-400.
Cited ByView References & Citations Map
Mei-Hua Hsu, Jui-Hua Chang & Shu-Yi Yu, Chang Gung Institute of Technology, Taiwan
EdMedia + Innovate Learning 2009 (Jun 22, 2009) pp. 2854–2861
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