Abstract
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.
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References
Rocha, A., Scheirer, W., Boult, T., et al.: Vision of the Unseen: Current Trends and Challenges in Digital Image and Video Forensics. ACM Computing Surveys 43(5), article number:26 (2011)
Zhou, Z.Y., Tang, X.H.: Integrity Authentication Scheme of Color Video Based on the Fragile Watermarking. In: International Conference on Electronics, Communications and Control (ICRCC), Ningbo, China, pp. 4354–4358 (2011)
De, A., Chadha, H., Gupta, S.: Detection of forgery in digital video. In: The 10th World Multi Conference on Systemics Cybernetics and Informatics, vol. V, pp. 229–233 (2006)
Kobayashi, M., Okabe, T., Sato, Y.: Detecting Video Forgeries Based on Noise Characteristics. In: Wada, T., Huang, F., Lin, S. (eds.) PSIVT 2009. LNCS, vol. 5414, pp. 306–317. Springer, Heidelberg (2009)
Liao, D.D., Yang, R., Liu, H.M., et al.: Double H.264/AVC compression detection using quantized nonzero AC coefficients. In: Conference on Media watermarking, Security, and Forensics, San Francisco, CA, vol. 7880, article number: 78800Q (2011)
Wang, W.H., Farid, H.: Exposing Digital Forgeries in Interlaced and De-Interlaced Video. IEEE Transactions on Information Forensics and Security 2(3), 438–449 (2007)
Johnson, M.K., Farid, H.: Exposing Digital Forgeries in Complex LightingEnvironments. IEEE Transaction on Information Forensics and Security 2(3), 450–461 (2007)
Swaminathan, A., Wu, M., Ray Liu, K.J.: Digital Image Forensics via IntrinsicFingerprint. IEEE Transaction on Information Forensics and Security 3(1), 101–117 (2008)
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Chao, J., Jiang, X., Sun, T. (2013). A Novel Video Inter-frame Forgery Model Detection Scheme Based on Optical Flow Consistency. In: Shi, Y.Q., Kim, HJ., Pérez-González, F. (eds) The International Workshop on Digital Forensics and Watermarking 2012. IWDW 2012. Lecture Notes in Computer Science, vol 7809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40099-5_22
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DOI: https://doi.org/10.1007/978-3-642-40099-5_22
Publisher Name: Springer, Berlin, Heidelberg
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