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基于颜色和灰度熵的视频镜头检测方法
引用本文:亓玉娇,杜海清.基于颜色和灰度熵的视频镜头检测方法[J].电视技术,2012,36(21):37-39,108.
作者姓名:亓玉娇  杜海清
作者单位:网络体系构建与融合北京市重点实验室,北京邮电大学,北京100876
基金项目:北京邮电大学青年科研创新计划专项课题(G470289)。
摘    要:视频镜头分割是视频检索和视频分类等应用的关键步骤,因此提出一种基于颜色直方图和灰度熵的镜头检测算法。该方法以HSV颜色直方图和图像的灰度熵为特征,计算视频相邻两图像帧的相似度,从而判断出是否发生了镜头变换。实验证明,该方法能准确检测出视频的突变镜头,对渐变镜头也有理想的检测效果。

关 键 词:HSV颜色直方图  灰度熵  相似度  镜头检测
收稿时间:6/25/2012 3:34:57 PM
修稿时间:6/25/2012 3:34:57 PM

Video Shot Boundary Detection Based on Color and Gray-scale Entropy
qiyujiao and duhaiqing.Video Shot Boundary Detection Based on Color and Gray-scale Entropy[J].Tv Engineering,2012,36(21):37-39,108.
Authors:qiyujiao and duhaiqing
Affiliation:Beijing University of Posts and Communications,Beijing University of Posts and Communications
Abstract:Video shot segmentation is a key step in the application of video retrieval and video classification. This paper presents an effective shot detection based on color histogram and gray-scale entropy. The method is characterized by a non-uniform quantized HSV color histogram and gray-scale entropy. Then it calculates the similarity of two adjacent frames of the video to determine whether the video transforms to another shot. The experiments results indicate the method can accurately detect abrupt cuts, and also has ideal effect on detecting gradual cuts.
Keywords:HSV color histogram  gray-scale entropy  similarity  shot detection
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