Publication Type : Journal Article
Publisher : International Journal of Tomography and Simulation, CESER Publications,
Source : International Journal of Tomography and Simulation, CESER Publications, Volume 27, Issue 3, p.84-100 (2014)
Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84901817880&partnerID=40&md5=eb482c8701738829af6a5b97136dd633
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Verified : Yes
Year : 2014
Abstract : The videos produced as evidences in courts, science and business are exceedingly confidential and even a simple amendment done in these videos will have a greater impact on our civilization. To ensure the genuineness of such videos, better methods are needed. In this paper we propose a technique to find inter-frame duplications (a video is tampered by adding frames from different videos) which includes two phases. Phase1 extract the key frames from the given input video and thus reduces the computation time compared to frame by frame comparisons, followed by phase2 which uses spatial Correlation and optical flow algorithm to detect the forgery from the key frames. The experimental results show our algorithm detects forgery efficiently beneath the following circumstances such as: Inserting Duplicate frames at random positions, Inserting duplicate frames throughout the video except the first frame and Inserting only one duplicate frame in the entire video.
Cite this Research Publication : A. Baskar and R. Babu, U., “Inter-video frame duplication detection using spatial correlation and optical flow algorithms”, International Journal of Tomography and Simulation, vol. 27, no. 3, pp. 84-100, 2014.