Paper
24 June 2005 A scheme for racquet sports video analysis with the combination of audio-visual information
Liyuan Xing, Qixiang Ye, Weigang Zhang, Qingming Huang, Hua Yu
Author Affiliations +
Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59600S (2005) https://doi.org/10.1117/12.631382
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China
Abstract
As a very important category in sports video, racquet sports video, e.g. table tennis, tennis and badminton, has been paid little attention in the past years. Considering the characteristics of this kind of sports video, we propose a new scheme for structure indexing and highlight generating based on the combination of audio and visual information. Firstly, a supervised classification method is employed to detect important audio symbols including impact (ball hit), audience cheers, commentator speech, etc. Meanwhile an unsupervised algorithm is proposed to group video shots into various clusters. Then, by taking advantage of temporal relationship between audio and visual signals, we can specify the scene clusters with semantic labels including rally scenes and break scenes. Thirdly, a refinement procedure is developed to reduce false rally scenes by further audio analysis. Finally, an exciting model is proposed to rank the detected rally scenes from which many exciting video clips such as game (match) points can be correctly retrieved. Experiments on two types of representative racquet sports video, table tennis video and tennis video, demonstrate encouraging results.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Liyuan Xing, Qixiang Ye, Weigang Zhang, Qingming Huang, and Hua Yu "A scheme for racquet sports video analysis with the combination of audio-visual information", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59600S (24 June 2005); https://doi.org/10.1117/12.631382
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Video

Visualization

Information visualization

Analytical research

Video processing

Classification systems

Semantic video

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