Detecting Video Forgeries Based on Noise Characteristics
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Vision of the unseen: Current trends and challenges in digital image and video forensics
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IEEE Transactions on Information Forensics and Security - Part 1
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IEEE Transactions on Information Forensics and Security - Part 1
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IEEE Transactions on Information Forensics and Security
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In this paper, a novel video inter-frame forgery detection scheme based on optical flow consistency is proposed. It is based on the finding that inter-frame forgery will disturb the optical flow consistency. This paper noticed the subtle difference between frame insertion and deletion, and proposed different detection schemes for them. A window based rough detection method and binary searching scheme are proposed to detect frame insertion forgery. Frame-to-frame optical flows and double adaptive thresholds are applied to detect frame deletion forgery. This paper not only detects video forgery, but also identifies the forgery model. Experiments show that our scheme achieves a good performance in identifying frame insertion and deletion model.