In this paper, we propose a novel scheme to detect double MPEG-4 compression with block artifact analysis. An adaptive measurement of block artifact in decompressed frames is proposed and then combined with the Variation of Prediction Footprint (VPF) in an effective way. Based on such measurement, periodic analysis is used to detect double compression. The proposed scheme is verified on several publically available standard videos and compared with the state-of-the-art method. Experimental results demonstrate that it has more robust detection capability.
CITATION STYLE
He, P., Sun, T., Jiang, X., & Wang, S. (2015). Double compression detection in mpeg-4 videos based on block artifact measurement with variation of prediction footprint. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9227, pp. 787–793). Springer Verlag. https://doi.org/10.1007/978-3-319-22053-6_84
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