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基于Rough Set的镜头分割方法
引用本文:韩加亮,吴渝,林玉宝.基于Rough Set的镜头分割方法[J].计算机工程与应用,2007,43(36):185-188.
作者姓名:韩加亮  吴渝  林玉宝
作者单位:重庆邮电大学人工智能研究所,重庆,400065;燕山大学信息科学与工程学院,河北,秦皇岛,066004
基金项目:重庆市自然科学基金 , 教育部跨世纪优秀人才培养计划 , 重庆市教委资助项目
摘    要:综合利用了MPEG视频流P帧的运动特征、像素差和直方图差特征,提出了一种基于Rough Set的镜头分割方法。该方法首先提取视频流中P帧的宏块信息,然后分析得到其运动活力性、宏块类型和运动空间分布,再结合这些帧的像素差特征和直方图差特征,利用Rough Set对这些特征进行约减后,对镜头切换处进行识别。实验表明,该方法能有效地区分镜头的突变,对渐变也能很好地检测。

关 键 词:Rough  set  运动信息  突变  渐变
文章编号:1002-8331(2007)36-0185-04
修稿时间:2007年7月1日

Shot boundary detection based on Rough Set
HAN Jia-liang,WU Yu,LIN Yu-bao.Shot boundary detection based on Rough Set[J].Computer Engineering and Applications,2007,43(36):185-188.
Authors:HAN Jia-liang  WU Yu  LIN Yu-bao
Affiliation:1.Institute of Artificial Intelligence,Chongqing University of Posts and Telecommunications,Chongqing 400065,China 2.College of Information Science and Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China
Abstract:An approach to shot boundary detection by Rough Set is introduced which comprehensively utilizes the motion features of P frame in MPEG video sequence,the difference of pixel and the difference of histogram.First,some information of macro blocks is extracted in P frame of MPEG video sequence.Then the information analyzed and the motion-activity,the type of macro blocks and the motion-distribution are gotten.Combined these parameters with the difference of pixel and the difference of histogram the shot-boundary detection can be achieved according to the Rough Set after being reduced.Experimental results show that it can effectively distinguish the hard cut and gradual transition.
Keywords:Rough Set  motion information  hard cut  gradual transition
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