%0 Journal Article
%T A Video Scene Detection Method Based on Mean Shift<br>一种基于均值漂移的视频场景检测方法
%A ZHANG Yuzhen
%A WANG Jianyu
%A DAI Yuewei
%A WEI Daidi
%A <br>张玉珍
%A 王建宇
%A 戴跃伟
%A 魏带娣
%J 中国图象图形学报
%D 2010
%I 
%X An efficient algorithm for scene detection is proposed. Where firstly within a sliding shot window, the shots are clustered and each cluster center is achieved rapidly by employing MS clustering, then according to the development pattern of film video scene, the temporal distances between two shots are computed and scenes are detected based on the temporal and spatial relationship. In addition, the scene key frames can be achieved on the basis of corresponding cluster centers. Finally, a succeeding procession for over-segmented scenes is introduced. Experiments prove this algorithm can cluster shots rapidly and detect scenes and the key frames of the scence efficiently.
%K mean shift
%K clustering
%K shot cluster
%K scene detection
%K scene key frame<br>均值漂移
%K 聚类
%K 镜头类
%K 场景检测
%K 场景关键帧
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=9CD0AA9B3E9CFC3A972F1F20FE991D4F&yid=140ECF96957D60B2&vid=23CCDDCD68FFCC2F&iid=0B39A22176CE99FB&sid=AA5FB09E1F81059E&eid=CA9ED1AB4D9E3E04&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=12