A Source Video Identification Algorithm Based on Features in Video Stream

With the availability of powerful multimedia edition software, all kinds of personalized image and video resources have flooded in the network. Multimedia forensics technology becomes a new topic in the field of information security. In this paper, a new source video system identification algorithm is proposed based on the features in the encoded stream; it takes full advantage of the different characteristics in the rate control strategies of video compression system, and extracts several features in the video compressed stream, combines a support vector machine classifier to build a complete video system identification scheme. The experiments show this proposed algorithm can effectively identify video streams which come from a limited number of video coding systems.