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Detection of regional copy/move forgery in MPEG videos using optical flow

Bidokhti, A ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/AISP.2015.7123529
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. With rapid proliferation of affordable video capturing devices and state-of-the-art video editing software tools, it is now easier than ever to manipulate video contents. In this paper a passive method for copy/move video forgery detection in MPEG videos is proposed. The method first divides each video frame into suspicious and apparently innocent parts. Subsequently, an optical flow coefficient is computed from each part. Forgeries are located when an unusual trend in the optical flow coefficient of the suspicious object is detected. Experiments on a set of forged and original sequences validate the justifications made by the proposed method
  6. Keywords:
  7. Copy/Move Forgery ; Video Forgery Detection ; Artificial intelligence ; Motion Picture Experts Group standards ; Optical flows ; Signal detection ; Signal processing ; Digital forensic ; Flow coefficients ; Multimedia security ; State of the art ; Suspicious objects ; Video capturing ; Video editing software ; Video forgeries ; Copying
  8. Source: Proceedings of the International Symposium on Artificial Intelligence and Signal Processing, AISP 2015, 3 March 2015 through 5 March 2015 ; March , 2015 , Pages 13-17 ; 9781479988174 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/7123529/?reload=true