A Novel Source MPEG-2 Video Identification Algorithm

With the availability of powerful multimedia editing software, all types of personalized image and video resources are available in networks. Multimedia forensics technology has become 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 video stream; it takes full advantage of the different characteristics in the rate control module and the motion prediction module, which are two open parts in the MPEG-2 video compression standard, and combines a support vector machine classifier to build an intelligent computing system for video source identification. The experiments show this proposed algorithm can effectively identify video streams that come from a number of video coding systems.

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