基于自适应哈希算法的直播视频篡改检测  

Tamper detection based on adaptive hashing algorithm for live video streaming

作　　者：文振焜[1] 陈斌[1] 吴惠思[1] 

机构地区：[1]深圳大学计算机与软件学院,广东深圳518060

出　　处：《深圳大学学报（理工版）》2017年第2期165-172,共8页Journal of Shenzhen University(Science and Engineering)

基　　金：国家自然科学基金资助项目(61572328);深圳市科创委基础研究资助项目(JCYJ20160331114551175)~~

摘　　要：提出基于视频压缩帧的自适应哈希算法,并将该算法用于实时视频篡改检测.根据帧内数据长度划分非固定步长区间,提取帧的空间结构特征,使用哈希量化形成固定长度的密钥.实验结果表明,该算法能达到实时性要求,表现出较好的鲁棒性和区分性,通过统计视频画面组的密钥相似度,能有效检测视频篡改.A new adaptive hashing algorithm based on video compression frames for real-time detection of the tampered video streaming is proposed. According to data length of a frame, the algorithm divides the frame into a number of intervals with different step-size and extracts the frame feature in spatial structure. The feature is quantized to generate the secret key. The experimental results show robust and discriminative. It can detect accurately a video group of pictures in the video. that the algorithm can meet real-time requirement and is tampered through counting the similarity of keys in each

关 键 词：计算机感知 自适应哈希算法 视频篡改 视频内容保护 实时视频 H.264编码器 

分 类 号：TP37[自动化与计算机技术—计算机系统结构]