PASSIVE APPROACH FOR VIDEO FORGERY DETECTION AND LOCALIZATION
作者： Cheng-Shain Lin , Jyh-Jong Tsay
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摘要: In this paper, we present a passive approach for effective detection and localization of forgery from video sequences. Our analyzes spatiotemporal slices 3-D volumes to detect localize regions tampered by temporal copy-and-paste texture synthesis. Experiment shows that the proposed outperforms previous approaches, can effectively regions.
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