Abstract
Detection of double video compression can reveal partly the video processing history, which is considered to be an important auxiliary means used in video forensics. In this paper, by analyzing the distribution of quantized discrete cosine transform (DCT) coefficients, we propose a scheme to detect double HEVC videos compression under different quantization parameter (QP) values. Firstly, four 5 × 5 co-occurrence matrixes were derived from DCT coefficients along four directions respectively, i.e., horizontal, vertical, main diagonal and minor diagonal. Then other 9 high order statistics were constructed by each co-occurrence matrix. Finally, a 136 dimensions feature set constitutes all elements of 5 × 5 co-occurrence matrix and other 9 higher order statistics which was sent to support vector machine (SVM). It is used to identify whether video has been gone through double compression. Experiment results show the effectiveness of the algorithm.
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