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
出处
《深圳大学学报（理工版）》
EI
CAS
CSCD
北大核心
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)~~
