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	Mining information of attack-defense status from soccer video based on scene analysis
	Shuqiang, Jiang ; Qingming, Huang ; Wen, Gao
	2007
英文摘要	Video Content is always huge by itself with abundant information. Extracting explicit semantic information has been extensively investigated such as object detection, structure analysis and event detection. However, little work has been devoted on the problem of discovering global or inexplicit information from the huge video stream. As an implementation in this topic, this paper proposes a solution to mining the statistical global attack-defense status information from soccer video by scene analysis. Semantic scene information of playfield detection, view classification, midline detection and global motion are extracted as the mid level information, and then they are fed into the finite state machine based status mining model to generate the statistical results, which will be of much usefulness for users. Experimental results reveal the feasibility of the method and more research work on the topic of discovering high-level inexplicit information from video are expected. ? 2007 IEEE.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/327854]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Shuqiang, Jiang,Qingming, Huang,Wen, Gao. Mining information of attack-defense status from soccer video based on scene analysis. 2007-01-01.

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