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1 January 2001 Hierarchical video classification with mixed media cues
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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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wensheng Zhou, Son K. Dao, and C.-C. Jay Kuo "Hierarchical video classification with mixed media cues", Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001);


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