Abstract
Frame deletion is one of the common video tampering operations. The existing schemes in detecting frame deletion all focus on MPEG. This paper proposes a novel method to detect frame deletion in H.264. We introduce the sequence of average residual of P-frames (SARP) and use its time- and frequency- domain features to classify the tampered videos and original videos. Specifically, in the time domain, we analyze the periodicity of the SARP of videos with frame deleted and define a position vector to describe this feature. In the frequency domain, we demonstrate that the periodicity of SARP results in spikes (frequency-domain feature) at certain positions in the DTFT(Discrete Time Fourier Transform) spectrum. The time- and frequency- domain features of tampered videos are different from that of original videos and thus can be used to separate these videos apart. Experimental results show that the proposed method is very effective with the detection rate as high as 92%.
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References
Kobayashi, M., Okabe, T., Sato, Y.: Detecting video forgeries based on noise characteristics. In: Proc. of the 3rd Pacific-Rim Symposium on Image and Video Technology, Tokyo, Japan, pp. 306–317 (2009)
Kobayashi, M., Okabe, T., Sato, Y.: Detecting forgery from static-scene video based on inconsistency in noise level function. IEEE Trans. on Information Forensics and Security, 883–892 (2010)
Su, Y., Xu, J.: Detection of double-compression in MPEG-2 videos. In: Proc. of International Workshop on Intelligent Systems and Applications, Wuhan, pp. 1–4 (2010)
Chen, W., Shi, Y.-Q.: Detection of double MPEG compression based on first digit statistics. In: Proc. of International Workshop on Digital Watermarking, pp. 16–30 (2010)
Liao, D., Yang, R., Liu, H., Li, J., Huang, J.: Double H.264/AVC compression detection using quantized nonzero AC coefficients. In: Proc. of SPIE on Media Watermarking, Security, and Forensics III, 7880 (2011)
Luo, W., Wu, M., Huang, J.: MPEG recompression detection based on block artifacts. In: Proc. of SPIE on Security, Forensics, Steganography, and Watermarking of Multimedia Contents 6819 (2008)
Su, Y., Zhang, J., Liu, J.: Exposing digital video forgery by detecting motion-compensated edge artifact. In: Proc. of Inter. Conf. on Computational Intelligence and Software Engineering, pp. 1–4 (2009)
Wang, W., Farid, H.: Exposing digital forgeries in video by detecting double MPEG compression. In: Proc. of the 8th Workshop on Multimedia and Security, pp. 37–47 (2006)
Richardson Iain, E.G.: H.264 and MPEG-4 Video Compression. John Wiley & Sons, New York (2003)
YUV Video Sequences, http://trace.eas.asu.edu/yuv/
The Consumer Digital Video Library, http://www.cdvl.org/
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Liu, H., Li, S., Bian, S. (2014). Detecting Frame Deletion in H.264 Video . In: Huang, X., Zhou, J. (eds) Information Security Practice and Experience. ISPEC 2014. Lecture Notes in Computer Science, vol 8434. Springer, Cham. https://doi.org/10.1007/978-3-319-06320-1_20
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DOI: https://doi.org/10.1007/978-3-319-06320-1_20
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06319-5
Online ISBN: 978-3-319-06320-1
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