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The EMF is a fusion of traditional and expanded Markov Transition Probability Matrix. In the proposed algorithm, The EMF of normal image and that of forged image is trained by SVM, and thus the nornal image and forged image by Seam-Carving can be discriminated by SVM. The experimental result shows that the performance of proposed method is better than that of the method based on traditional Markov features and other existing methods<\/p>","DOI":"10.4018\/ijdcf.2014040102","type":"journal-article","created":{"date-parts":[[2014,12,9]],"date-time":"2014-12-09T08:43:30Z","timestamp":1418114610000},"page":"23-39","source":"Crossref","is-referenced-by-count":0,"title":["Detection of Content-Aware Image Resizing for Forensic Applications"],"prefix":"10.4018","volume":"6","author":[{"given":"Guorui","family":"Sheng","sequence":"first","affiliation":[{"name":"College of Information and Electric Engineering, LuDong University, YanTai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tiegang","family":"Gao","sequence":"additional","affiliation":[{"name":"College of Software, Nankai University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shun","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Software, Nankai University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"issue":"3","key":"ijdcf.2014040102-0","first-page":"1099","article-title":"A SIFT-based forensic method for copy\u2013move attack detection and transformation recovery. 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