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一种基于子镜头聚类的情节代表帧选取方法
引用本文:王华伟,施智平,史忠植,胡宏.一种基于子镜头聚类的情节代表帧选取方法[J].计算机工程与应用,2005,41(27):157-159.
作者姓名:王华伟  施智平  史忠植  胡宏
作者单位:1. 人民大会堂技术处,北京,100800;中国科学院计算技术研究所,北京,100080
2. 中国科学院计算技术研究所,北京,100080
基金项目:国家自然科学基金资助项目(编号:30170231,60203027);国家863高技术研究发展计划(编号:2002AA135230-D)资助
摘    要:情节代表帧选取方法是视频语义分析和基于内容的视频检索的很重要的方法。代表帧的使用大大减少了视频索引的数据量,同时也为视频摘要和检索提供了一种快捷的方法。该文在子镜头的关键帧提取方法基础上,利用模糊C-均值聚类算法,实现了一种基于子镜头聚类的情节代表帧选取方法。实验证明该方法计算简单,可以较好地代表视频情节。

关 键 词:代表帧选取  子镜头聚类  情节  模糊C-均值聚类算法
文章编号:1002-8331-(2005)27-0157-03
收稿时间:2005-04
修稿时间:2005-04

An Approach for Selecting Episode Representation Frames Based on Subshot Clustering
Wang Huawei,Shi Zhiping,Shi Zhongzhi,Hu Hong.An Approach for Selecting Episode Representation Frames Based on Subshot Clustering[J].Computer Engineering and Applications,2005,41(27):157-159.
Authors:Wang Huawei  Shi Zhiping  Shi Zhongzhi  Hu Hong
Affiliation:1. Technology Division,The Great Hall of the People,Beijing 100800;2. Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100080
Abstract:Selecting episode representation frame is one of the important processes in video semantic analysis and content-based video retrieval.Representation frame can dramatically reduce the data of the video indexing and provides a shortcut method for video abstraction and retrieval.An algorithm for selecting episode representation frames by using an approach of key frame extraction based on multiple characters and C-Mean fuzzy clustering is detailed in the paper. Experimental results show that the approach is computationally simple and able to adapt to the visual content.
Keywords:selecting representation frame  subshot clustering  episode  C-Mean fuzzy clustering
本文献已被 CNKI 维普 万方数据 等数据库收录!
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