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Semantic labeling of soccer video

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4 Author(s)
Haiping Sun ; Institute for Infocomm Res., Singapore, Singapore ; Joo-Hwee Lim ; Qi Tian ; Kankanhalli, M.S.

As traditional shot segmentation may not produce video segments that possess one-to-one correspondence to semantic views, we present an integrated segmentation and classification approach to label soccer video into semantic units in this paper. In our system, each P frame is divided to a 6 × 4 blocks with color and motion features extracted on both block and frame levels. First, a threshold is used to divide the video stream into relatively static parts and active parts. Then every active part is segmented into sub-parts according to 4 view types and the motion features are used to classify segments with support vector machines. Finally, static parts are merged with classified active sub-parts to form labeled segments. Four 10-minute test clips from the World Cup 2002 are used to evaluate our system resulting in a promising classification rate of 79.8%.

Published in:

Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on  (Volume:3 )

Date of Conference:

15-18 Dec. 2003

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