面向压缩域视频拷贝检测的主要边缘相对相位算法  

A Relative Phases Algorithm of Key Edges for Detecting Compressed Video Copies

作　　者：张志杰[1] 邹建华[1] 

机构地区：[1]西安交通大学系统工程研究所,西安710049

出　　处：《西安交通大学学报》2010年第10期8-11,共4页Journal of Xi'an Jiaotong University

基　　金：国家自然科学基金资助项目(50177025)

摘　　要：为了提高视频拷贝检测的查全率和速度,提出了一种基于主要边缘相对相位的压缩域视频拷贝检测算法.该算法先通过压缩视频I帧中DCT系数的AC分量获取边缘信息,然后从边缘信息中抽取主要边缘相对相位,并将其作为视频特征,最后利用这种特征进行视频拷贝检测.各种拷贝攻击对主要边缘相对相位影响很小,因此本文算法是鲁棒的.此外,该算法直接从压缩域获取信息,避免了解压环节,从而减少了检测用时.实验结果表明,该算法相比于其他压缩域算法,查全率提高了68%,相比于非压缩域算法,检测速度提高了约5倍.A new algorithm to detect compressed video copies is proposed to improve the recall and speed of video copy detection based on the relative phases of key edges.The algorithm firstly computes edge information from the AC components of the DCT coefficients,which are directly obtained from all the I frames in compressed videos;The relative phases of key edges are computed from the edge information,and then used as the video signatures;Finally the video signatures are used to detect the video copies.Since various video copy attacks have little influence on the relative phases of key edges,the proposed algorithm is robust.Moreover,the algorithm avoids the decompression process so that the detection time is reduced.Experimental results show that the proposed algorithm outperforms not only the other compressed-domain algorithms 68%in recall,but also the uncompressed-domain algorithm about 5times in speed.

关 键 词：视频拷贝检测 压缩域 DCT系数 边缘 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]