Video forgery detection method based on local difference binary

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Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi
Volume:26 Issue:5
Video forgery detection method based on local difference binary

Video forgery detection method based on local difference binary

Authors : Guzin ULUTAS, Beste USTUBIOGLU, Mustafa ULUTAS, Vasif NABIYEV

Pages : 983-992

View : 55 | Download : 11

Publication Date : 2020-10-23

Article Type : Research Paper

Abstract :Recently, the rapid development of video editing software has made video forgery applicable. Researchers have proposed methods to detect forged video frames. These methods utilize codec properties, motion artifacts, noise effect and frame similarity to detect forgery. Execution time and low detection accuracy are the two main drawbacks of forgery detection methods reported in the literature. In this study, a new frame duplication detection method using Local Difference Binary insert ignore into journalissuearticles values(LDB); is proposed to extract features from the frames. Distance between similar frames that have similar feature vectors are is used by the method to estimate Distance of Forgery and to determine the exact location of duplicated frames. PSNR between similar frames are is then used to group them into three classes, and rule-based mechanism reports forged frames according to the membership to classes. Experimental results indicate that the proposed method has lower execution time with higher accuracy than similar works.
Keywords : Video forgery, LDB, Frame duplication detection, Distance of forgery

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