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基于小波变换及熵的视频镜头分割检测方法

戴小文 蔡志平 钟桂英

戴小文, 蔡志平, 钟桂英. 基于小波变换及熵的视频镜头分割检测方法[J]. 西南交通大学学报, 2008, 21(3): 314-318.
引用本文: 戴小文, 蔡志平, 钟桂英. 基于小波变换及熵的视频镜头分割检测方法[J]. 西南交通大学学报, 2008, 21(3): 314-318.
DAI Xiaowen, CAI Zhiping, ZHONG Guiying. Video Shot Detection Method Based on Wavelet Transform and Wavelet Entropy[J]. Journal of Southwest Jiaotong University, 2008, 21(3): 314-318.
Citation: DAI Xiaowen, CAI Zhiping, ZHONG Guiying. Video Shot Detection Method Based on Wavelet Transform and Wavelet Entropy[J]. Journal of Southwest Jiaotong University, 2008, 21(3): 314-318.

基于小波变换及熵的视频镜头分割检测方法

基金项目: 

信息产业部电子发展基金资助项目((2005)No.555)

详细信息
    作者简介:

    戴小文(1967- ),男,副教授,博士,研究方向为模式识别,E-mail:xwdai678@yahoo.com.cn

Video Shot Detection Method Based on Wavelet Transform and Wavelet Entropy

  • 摘要: 提出了基于小波变换及熵的视频镜头分割检测方法.用图像低频信号的小波系数的均值和标准差检测剪切镜头转换边界.分别计算图像小波分解后水平、垂直和对角方向细节信号的小波熵分量,以此3个小波熵分量作为特征量,计算相邻视频帧间特征量的欧氏距离.在检测窗内欧氏距离两次以上大于设定的阈值时即可判定镜头发生渐变转换.实验结果表明,剪切镜头查准率为95%,查全率为96%;渐变镜头查准率为87.5%,查全率83.8%.

     

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出版历程
  • 收稿日期:  2007-09-05
  • 刊出日期:  2008-06-25

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