NDLI: Content-based sports video analysis and modeling

Content Provider	IEEE Xplore Digital Library
Author	Hong Lu Yap-Peng Tan
Copyright Year	2002
Description	Author affiliation: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore (Hong Lu; Yap-Peng Tan)
Abstract	We propose in this paper some new methods for analyzing and modeling sports based on their low-level visual are first automatically identified by using the color features derived from its video are first automatically identified by using the color features derived from its video shots. To improve the performance on the identification of dominant scenes and reduce the dependency on a proper threshold, a comparison on different forms of shot color features, including shot color histograms, their principal components, and subspace linear discriminant representations, is performed. Second, the content compactness and motion attributes of clustered video shots are analyzed to differentiate dominant scene types. A scene transition diagram is then constructed to form a structural descriptor for sports video contents. Third, the video shots belonging to each dominant scene are processed, using customized schemes and domain specific knowledge, to identify interesting play events in the sports video. Experimental results on identification of dominant scenes, structural desprictors and high-level ball videos, are presented to demonstrate the possible applications of the proposed methods.
Starting Page	1198
Ending Page	1203
File Size	513636
Page Count	6
File Format	PDF
ISBN	9810483643
DOI	10.1109/ICARCV.2002.1234943
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-12-02
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Nanyang Technological Univ
Subject Keyword	Layout Tiles Prototypes Satellite navigation systems Gunshot detection systems Games
Content Type	Text
Resource Type	Article

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