同源视频Copy-Move篡改检测及恢复  

Detection and Recovery for Copy-Move Forgery in Homologous Video

作　　者：陈智文[1] 黄添强[1,2] 吴铁浩[1] 袁秀娟[1] 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,福州350007 [2]福建师范大学网络安全与密码技术福建省高校重点实验室,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,珠海519085

出　　处：《计算机系统应用》2013年第9期102-110,共9页Computer Systems & Applications

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

摘　　要：针对同源视频序列的copy-move篡改方式,提出一种通过度量图像内容间的相关性,来实现对视频序列的copy-move篡改检测并恢复的方法.首先将视频帧内容转化为一系列连续的图像帧,对图像分块,提取每帧图像的8个特征矢量,再利用欧氏距离计算帧间相关性,并通过添加偏差矩阵构造动态偏差阈值,检测出copy-move篡改序列且精确至帧,从而实现对视频序列的篡改检测与恢复.实验表明,该算法对同源视频序列的copy-move篡改检测及恢复能够取得理想的效果.With regard to the copy-move forgery of video frame sequence, this paper proposes a algorithm for video detection and recovery base on the correlation of the contents between frames. Firstly, the video frames are translated into a series of consecutive image frames, and by blocking the frame to extract eight dimensional feature vectors. With Euclidean distance computed the correlation between frames, a deviation matrix is import in the algorithm to reduce the false alarm rate. A threshold value is used to localize the modifications to a frame level and recover the original video. Experimental results show that this method can effectively detect the copy-move forgery of video frame sequence and video restoration.

关 键 词：视频篡改 序列copy-move 偏差矩阵 视频恢复 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]