%0 Journal Article
%T Semantic Analysis of Soccer Video Using Model of Visual Attention and HMM<br>基于视觉注意模型和HMM的足球视频语义分析
%A YU Zhou
%A ZHANG Rui
%A YANG Xiao-kang
%A <br>于舟
%A 张瑞
%A 杨小康
%J 中国图象图形学报
%D 2008
%I 
%X A hidden Markov model (HMM) has good adaptability,can automatically learn and adapts well when used in predicting temporal data. Changing of scenes in soccer video is a fundamental trait and manifests semantics of soccer video. In this paper,a new method based on scene classification and HMM is given to analyze semantics of video,detecting semantic events in soccer video. In order to solve the low accuracy and low robustness of scene classification based on traditional method,model of visual attention and gist of scene is used in classification of scenes of soccer video. The experimental results show higher efficiency and higher accuracy of our method in detecting free kick in soccer video.
%K semantic analysis
%K event detection
%K GIST
%K HMM(hidden Markov model)
%K scene classification<br>语义分析
%K 事件识别
%K 图像要旨
%K HMM
%K 场景分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=3FF725E32A1649D4210A885E1AAF6250&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=F3090AE9B60B7ED1&sid=DB7C57A2F6AB0CB0&eid=770F25CE148F797D&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=6