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This paper proposed a framework for goal event detection in soccer videos by using multi-clues detection rules. In this framework, the visual clues including shot segmentation, shot classification and goal detection is extracted. Meanwhile, the audio clues including the audience's cheering and the commentator' excited speech are extracted. Then the goal event detection rules are defined by combining...
With the fast development of video semantic analysis, there has been increasing attention to the typical issue of the semantic analysis of soccer program. Based on the color feature analysis, this paper focuses on the video shot segmentation problem from the perspective of semantic analysis, i.e. the semantic shot segmentation. Most existing works segment and classify the shot by using the dominant...
The extraction of playing shots is helpful for video analysis. In this paper, we propose an algorithm: first, the shots are segmented by detecting the shot boundaries (both abrupt cuts and gradual transitions), and wipes are discarded directly; then from the rest shots, playing shots are extracted by shot classification. Experimental results confirm the efficiency of our proposed algorithm.
To refine their strategy of play such as football, handball, volley ball, Rugby, the coach need to have a maximum of technico-tactics information about the on-going of the game and the players. We propose in this paper a variety of algorithms contributing to the resolution of the major problem appearing in the automation of team identification to which each player belongs relying on visual data provided...
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