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http://dx.doi.org/10.5909/JBE.2017.22.6.734

Detection of Frame Deletion Using Coding Pattern Analysis  

Hong, Jin Hyung (Korea Aerospace University)
Yang, Yoonmo (Korea Aerospace University)
Oh, Byung Tae (Korea Aerospace University)
Publication Information
Journal of Broadcast Engineering / v.22, no.6, 2017 , pp. 734-743 More about this Journal
Abstract
In this paper, we introduce a technique to detect the video forgery using coding pattern analysis. In the proposed method, the recently developed standard HEVC codec, which is expected to be widely used in the future, is used. First, HEVC coding patterns of the forged and the original videos are analyzed to select the discriminative features, and the selected feature vectors are learned through the machine learning technique to model the classification criteria between two groups. Experimental results show that the proposed method is more effective to detect frame deletions for HEVC-coded videos than existing works.
Keywords
Video Forensics; Frame Deletion; Video Forgery; HEVC; Coding Pattern;
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Times Cited By KSCI : 2  (Citation Analysis)
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