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Proceedings Paper

Hierarchical video classification with mixed media cues
Author(s): Wensheng Zhou; Son K. Dao; C.-C. Jay Kuo
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Paper Abstract

A hierarchical semantic tree for sport video analysis by incorporating mixed media cues form video, audio and caption texts is proposed in this research. It allows queries form users at different granularity of semantic meanings. A set of classification functions, which associate the low-level features with video high-level semantic meanings for various applications, are learned by supervised learning algorithms at each node. Experimental results show our proposed scheme and classification system is effective and promising.

Paper Details

Date Published: 1 January 2001
PDF: 12 pages
Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410938
Show Author Affiliations
Wensheng Zhou, HRL Labs., LLC and Univ. of Southern California (United States)
Son K. Dao, HRL Labs., LLC (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 4315:
Storage and Retrieval for Media Databases 2001
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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