Shot segmentation and classification in Basketball Videos - 文章详情页

作者：

Wu, Lifang (Wu, Lifang.) (学者：毋立芳) | Han, Xiuli (Han, Xiuli.) | Cui, Hao (Cui, Hao.) | Shen, Wei (Shen, Wei.)

收录：

EI Scopus

摘要：

Shot　is　important　and　meaningful　unit　in　sport　videos.　In　this　paper,　we　propose　a　shot　segmentation　algorithm　using　DBNF　(the　difference　between　neighbour　frames)　and　DBSF　(the　difference　between　a　frame　and　a　designed　start　frame).　Then　we　propose　a　shot　classification　algorithm　based　on　dominant　colours　and　edge　image,　by　which　the　shots　can　be　classified　into　court　shots　and　non-court　shots.　Experiments　show　that　proposed　shot　segmentation　algorithm　is　effective　to　both　abrupt　cuts　and　wipes,　and　shot　classification　algorithm　can　extract　more　than　90%　court　shots　correctly.

关键词：

Multimedia signal processing Image segmentation Basketball Edge detection

作者机构：

[ 1 ] [Wu, Lifang]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100022, China
[ 2 ] [Han, Xiuli]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100022, China
[ 3 ] [Cui, Hao]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100022, China
[ 4 ] [Shen, Wei]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100022, China

通讯作者信息：

电子邮件地址：

lfwu@bjut.edu.cn

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