融合多特征的异源视频复制-粘贴篡改检测  

Heterologous video copy-move forgery detection by fusing multiple features

作　　者：李富贵[1,2] 黄添强[1,2] 苏立超[1,2] 苏伟峰[3] 

机构地区：[1]福建师范大学数学与计算机科学学院,福建福州350007 [2]福建省网络安全与密码技术重点实验室(福建师范大学),福建福州350007 [3]北京师范大学-香港浸会大学联合国际学院理工科技学部,广东珠海519085

出　　处：《山东大学学报（工学版）》2013年第4期32-38,共7页Journal of Shandong University（Engineering Science）

基　　金：国家自然科学基金资助项目(61070062;61073017);福建省高校产学合作科技重大资助项目(2012H6006);福建省高校服务海西建设重点资助项目(2008HX200941-4-5);福建省高等学校新世纪优秀人才支持计划资助项目(JAI1038)

摘　　要：相比传统的视频帧插入或帧删除以及视频双压缩等篡改方式,复制-粘贴篡改更能直接的改变视频内容。因此,本研究提出一种融合多特征的异源视频复制-粘贴篡改检测方法。对于经过帧内复制-粘贴篡改的视频,其视频帧内会引入一些尖锐的变化,比如线条、边缘和角点等,而二维相位一致性可以很好的检测出这些变化。同时,来自异源视频帧复制的区域块会使得帧内引入不同的模式噪声,可以利用模式噪声和二维相位一致性提取视频帧的特征,然后将特征融合进行SVM分类实验来检测篡改视频。实验表明该算法可以有效地检测异源复制-粘贴篡改的视频。Compared with the conventional methods of video forgeries, such as frame insertion, frame deletion and doub- le compression, copy-move forgery might change the content of a video directly. Therefore, a new algorithm was pro- posed to detect video copy-move forgery by fusing multiple features. For an intra-frame copy-move tampered video, which may introduce a number of sharp transitions in frames such as lines, edges and comers. Phase congruency was known as a sensitive measure of these sharp transitions and hence was proposed as features for video forgery detection. Meanwhile, the duplicated blocks from the heterologous video could introduce different pattern noise. Therefore, the proposed algorithm could extract features of video frames from the pattern noise and 2-D phase congruency for video forgery detection, and then the merged multiple features were experimented with the support vector machine （SVM）. Experimental results demonstrated that the proposed algorithm could detect video of intra-frame copy-move forgery effectively.

关 键 词：复制-粘贴篡改 复制-粘贴检测 模式噪声 二维相位一致性 SVM(support VECTOR machine) 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]