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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. <\/jats:p>","DOI":"10.1142\/s0218001410008408","type":"journal-article","created":{"date-parts":[[2011,1,5]],"date-time":"2011-01-05T11:54:31Z","timestamp":1294228471000},"page":"1311-1328","source":"Crossref","is-referenced-by-count":6,"title":["A NOVEL SOURCE MPEG-2 VIDEO IDENTIFICATION ALGORITHM"],"prefix":"10.1142","volume":"24","author":[{"given":"YUTING","family":"SU","sequence":"first","affiliation":[{"name":"School of Electronic Information Engineering, Tianjin University, Tianjin 300072, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JUNYU","family":"XU","sequence":"additional","affiliation":[{"name":"School of Electronic Information Engineering, Tianjin University, Tianjin 300072, P. R. 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