Detection and Localization of Video Copy-Move Forgery in Temporal and Spatial Domain
Mili Rosline Mathews1, Sreelekha Sreedharan2
1Mili Rosline Mathews, Assistant Professor, Department of Electronics, College of Engineering, Karunagapally, Kollam (Kerala), India.
2Sreelekha Sreedharan, PG Scholar , Department of Electronics, College of Engineering, Karunagpally, Kollam (Kerala), India.
Manuscript received on 14 June 2015 | Revised Manuscript received on 23 June 2015 | Manuscript Published on 30 June 2015 | PP: 68-71 | Volume-5 Issue-1, June 2015 | Retrieval Number: A2125065115/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Digital videos are widely used and accessed nowadays. Moreover several video editing softwares are also available. Forgeries done within a single video cannot be recognized easily. The signs of forgery are very low in such cases. So the credibility of a video clip in the court as a proof is crucial for legal applications. Different types of video forgeries exist. Copy-move forgery is one of the most common type of video forgery. Our approach is detection and localization of forgery in temporal and spatial domain. The forgeries which can be done within a single video are considered for detection of forgery. For the detection of temporal copy-move forgery the structural similarity between the frames of a video is used. The difference of pixels between adjacent frames is used for identifying the spatially forged region in each frame. We propose an effective system to detect the copy-move forgery in videos.
Keywords: Copy-Move Forgery, Difference Operation, Structural Similarity Index Measure, Video Forgery.
Scope of the Article: Structural Engineering