关键词: 噪声信息, 压缩感知, cos相似度, 视频篡改检测

Abstract: This paper proposes a video heterologous tampering detection algorithm which is based on compressive sensing，considering the characters of the intrinsic noise in the video sequence.Pick up the noise information of each frame and establish the noise matrix in the video，compress them through the compressive sensing theory，diminish the redundancy rate for the noise information of each frame image tremendously，employ cosine similarity to the compressive noise matrix，get the similar matrix between the frame images and construct the tamper measure，apply the parameter model to detect the images which are tampered heterologously in the video.The experiment demonstrates that the proposed algorithm can detect the position of heterologous tampering effectively at a low compression rate in the video sequence，and obtain the higher accuracy of tampering detection than two existing algorithms.

Key words: noise information, compressive sensing, cosine similarity, video tampering detection