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PCM
2004
Springer

Semantic Analysis of Basketball Video Using Motion Information

14 years 4 months ago
Semantic Analysis of Basketball Video Using Motion Information
Abstract. This paper presents a new method for extracting semantic information from basketball video. Our approach consists of three stages: shot and scene boundary detection, scene classification and semantic video analysis for event detection. The scene boundary detection algorithm is based on both visual and motion prediction information. After the shot and scene boundary detection, a set of visual and motion features are extracted from scene or shot. The motion features, describing the total motion, camera motion and object motion within the scene respectively, are computed from the motion vector of the compressed video using an iterative algorithm with robust outlier rejection. Finally, the extracted features are used to differentiate offensive/defensive activities in the scenes. By analyzing the offensive/defensive activities, the positions of potential semantic events, such as foul and goal, are located. Experimental results demonstrate the effectiveness of the proposed met...
Song Liu, Haoran Yi, Liang-Tien Chia, Deepu Rajan,
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where PCM
Authors Song Liu, Haoran Yi, Liang-Tien Chia, Deepu Rajan, Syin Chan
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