基于视频修复的运动目标删除篡改行为的检测算法

将运动对象从视频中删除是视频篡改的一种常见 形式,针对删除视频运动对象这一篡改操作, 提出了基于视频修复痕迹的检测方法。运动对象删除后需采用数字视频修复技术填补由于移 除操作产生的 黑洞,使得篡改后的视频遗留有修复痕迹；通过深入分析篡改视频中遗留的修复痕迹,对篡 改后未压缩视 频采用对称帧差法检测运动对象删除区域；对压缩后的篡改视频从运动光流场的角度,由视 频帧光流方向 的不一致性进行检测。实验结果表明,本文方法不依赖于原始视频,计算复杂度低,能够有 效检测运动对象删除操作,并在空时域上对篡改区域进行定位。

Detection to video moving object deletion based on video inpainting

Object deletion is a common video forgery in digital videos.An efficient algorit hm based on the video inpainting is proposed for detecting object deletion.When removing the moving object,it is necessary to complete the forged region by video inpain ting,thus the artificial trace of inpainting is introduced in the forge d video.Through in-depth analysis of the remaining traces in the forged video,the symmetrical frame difference method is used to detect the object remo val area.if the forged video is uncompressed.If the forged video is compressed,the video tampering dete ction can be accomplished according to the inconsistency of optical flow orientation.Experime ntal results show that.The proposed algorithm can effectively detect the operation of moving object deletion and locate the tamper ed region in spatial and temporal domain.In addition,the algorithm does not depend on the original vide o,and its computational complexity is low.