基于内容的视频取证研究

Content-based Video Forensics

基于内容的视频取证技术是检验视频内容合法性的一种有效方法,目前已成为多媒体安全领域的研究热点。该技术利用视频指纹,直接提取媒体对象内容的各种特征作为证据,具有较强的实用性。在典型的视频取证模型中,提取视频指纹需要经过镜头分割、关键帧选取和指纹提取等过程。分析和总结了这3个过程所涉及的各种算法及其近年来的研究进展情况。

Content-based video forensics is an effective technique to detect the legality of video content.Nowadays,it has been a hot in the research field of multimedia security.By taking advantage of video fingerprint,this technique can extract varieties of visual features from illegal videos as evidence.In a typical video forensics model,the process of fingerprint extraction consists of shot segmentation,key frame extraction and fingerprint extraction.Thus,this paper analyzed content-based video forensics technique from these three aspects,and introduced the research development of the related algorithms.