Translator Disclaimer
1 January 2001 Hierarchical video classification with mixed media cues
Author Affiliations +
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.
© (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); https://doi.org/10.1117/12.410938
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Activity-based video indexing and search
Proceedings of SPIE (April 28 2010)
Content-based analysis and indexing of sports video
Proceedings of SPIE (December 18 2001)
Choosing efficient feature sets for video classification
Proceedings of SPIE (December 16 1998)
Video indexing and retrieval using MPEG-7
Proceedings of SPIE (December 09 2002)

Back to Top