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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 5, ISSUE 12, DECEMBER 2016

Video Forgery detection using Hybrid techniques

Randeep Kaur, Er. Jasdeep Kaur

DOI: 10.17148/IJARCCE.2016.51221

Abstract: Digital video forensics aims at validating the authenticity of videos by recovering information about their history. In a copy-paste forgery, a region from a video is replaced with another region from the same video. Because the copied part come from the same video, its important properties, such as noise, color palette and texture, will be compatible with the rest of the video and thus will be more difficult to distinguish and detect these parts. In this paper DWT is used to compress the frame and optical flow is used to detect the flow of the moving objects and the forgery object. But the sift technique is used to detect the key features of the original frame and the forgery frame..



Keywords: Frame, Video, forgery, DWT and SIFT etc.

How to Cite:

[1] Randeep Kaur, Er. Jasdeep Kaur, “Video Forgery detection using Hybrid techniques,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.51221