文章基本信息

标题：投球の次ショットに重きを置いたシーンのパターン化と離散隠れマルコフモデルを用いた野球放送映像の自動イベント分類
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作者：望月貴裕 ; 藤井真人 ; 八木伸行等
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：2007
卷号：61
期号：8
页码：1139-1149
DOI：10.3169/itej.61.1139
出版社：The Institute of Image Information and Television Engineers
摘要：A method has been developed for automatically classifying baseball video scenes into some events that describe their content.The baseball scenes are patternized using a set of rectangles with image features and motion vectors.The basic unit for patternization is a shot.For the second shot of each scene which includes significant information for event-classification,a partial shot generated by dividing the shot is used as a processing unit.The scenes used for training are expressed as sequenced symbols based on the patternized data for shots and partial shots.“Event-unknown”baseball scenes are assigned “event-indexes”(i.e.,homerun,single,walk,etc.) using discrete hidden Markov models that have been trained with the training symbol sequences for each kind of event.An experiment using videos of seven Major League Baseball games produced good results,demonstrating that this method can automatically classify events with high accuracy.
关键词：映像分類;ショット;パターン化;離散HMM;野球映像