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Videos of multi-player team sports provide a challenging domain for dynamic scene analysis. Player actions and interactions are complex as they are driven by many factors, such as the short-term goals of the individual player, the overall team strategy, the rules of the sport, and the current context of the game. We show that constrained multi-agent events can be analyzed and even predicted from video...
It takes some finals in the 18th Soccer World Cup, the 5th Women's Soccer World Cup and the 15th European Cup as the research subject, employing video analysis and data analysis to study fast break in modern soccer games, and analyzes the essence of the fast break techniques in the modern soccer games as well as the three kinds of soccer tournaments.
A step-variable shot detection algorithm of soccer video based on DC image is presented in this paper. The proposed method uses the DC image as original data and the grass ratio as feature parameter in soccer field. This algorithm only needs partly decompression from the encode bit-stream and doesnpsilat need all the histogram comparison between adjacent frames, so it can reduce the computational...
In this paper, we propose an automatic system for video shot segmentation, called linear transition detector, unique for both cuts and linear transitions detection. Comparison with publicly available shot detection systems is reported on different sports (Formula 1 racing, basketball, soccer, and cycling) and TRECVID 2005 results are also reported
To be viable advertising platforms, methods for in-program content placement in sports video must balance against clutter. We propose viewer relevance (VR) measures of video frames in the temporal and spatial domain. Video sub-segments with low temporal VR are first selected, within which actual content is emplaced on regions with low spatial VR. We compute VR measures using color, motion, texture...
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