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基于关键帧颜色和纹理特征的视频拷贝检测
引用本文:陈秀新,贾克斌,魏世昂. 基于关键帧颜色和纹理特征的视频拷贝检测[J]. 电视技术, 2012, 36(15): 36-39
作者姓名:陈秀新  贾克斌  魏世昂
作者单位:北京工商大学,北京工业大学,北京工商大学
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:提出了一种基于关键帧颜色和纹理特征的视频拷贝检测方法。首先通过子片段方法提取视频的关键帧,然后将关键帧分成3个子块,提取每个子块的三维量化颜色直方图,通过直方图相交法来进行颜色特征的匹配。对检索得到的结果视频关键帧进行纹理特征提取,通过其灰度共生矩阵的角二阶矩和熵来表征其纹理特征,纹理特征的匹配可进一步过滤不相关的视频。实验结果表明,该方法效果好、稳健性强且可应用于多种类型的视频。

关 键 词:三维量化颜色直方图  灰度共生矩阵  关键帧  视频拷贝检测  基于内容的信息检索
收稿时间:2012-03-16
修稿时间:2012-04-12

A Video Copy Detection Method Based on Color and Texture Features of Key Frames
Chen Xiuxin,Jia Kebin and Wei Shiang. A Video Copy Detection Method Based on Color and Texture Features of Key Frames[J]. Ideo Engineering, 2012, 36(15): 36-39
Authors:Chen Xiuxin  Jia Kebin  Wei Shiang
Affiliation:Beijing Technology and Business University,Beijing University of Technology,Beijing Technology and Business University
Abstract:A video copy detection method based on color and texture features of key frames is proposed. Firstly, key frames are extracted based on clip-method. Then, key frames are divided into 3 blocks and three-dimensional quantized color histograms are extracted from the blocks. Color matching is based on histogram intersection. Texture features are further extracted from the key frames of the resulting videos and are represented with angular second moment and entropy of the co-occurrence matrix. With the matching of texture features, more irrelative videos are filtered. Experiments show that this method is effective, high robust and can be used for various types of videos.
Keywords:three-dimensional quantized color histograms   co-occurrence matrix   key frame   video copy detection   content-based information retrieval
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