Double HEVC Compression Detection with Different Bitrates Based on Co-occurrence Matrix of PU Types and DCT Coefficients
Double HEVC Compression Detection with Different Bitrates Based on Co-occurrence Matrix of PU Types and DCT Coefficients
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DOI：
10.1051/itmconf/20171201020
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Zhaohong Li;Rui-shi Jia;Zhenzhen Zhang;Xiaoyun Liang;Jinwei Wang
中科院分区：
文献类型：
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作者：
Zhaohong Li;Rui-shi Jia;Zhenzhen Zhang;Xiaoyun Liang;Jinwei Wang
双重视频压缩检测在视频取证中具有特殊的重要性，因为它部分地揭示了视频处理的历史。本文针对最新的视频编码标准HEVC提出了一种双重压缩方法。首先，从DCT系数中分别得到沿着4个方向的4个5×5共生矩阵，水平、垂直、主对角线和次对角线。然后从PU类型中推导出4个4×4共生矩阵，这是HEVC的创新特征，很少被研究人员使用。最后，这两个特征集相结合，并发送到支持向量机（SVM）检测重压缩视频。为了降低特征维数，仅采用DCT系数和PU类型在水平方向上的共生矩阵来识别视频是否经过双重压缩。实验结果表明了该方法的有效性和对帧删除的鲁棒性。
Detection of double video compression is of particular importance in video forensics, as it reveals partly the video processing history. In this paper, a double compression method is proposed for HEVC–the latest video coding standard. 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 four 4×4 co-occurrence matrixes were derived from PU types which are innovative features of HEVC and rarely been utilized by researchers. Finally, these two feature set are combined and sent to support vector machine (SVM) to detect re-compressed videos. In order to reduce the feature dimension, only the co-occurrence matrixes of DCT coefficients and PU types in horizontal direction are adopted to identify whether the video has undergone double compression. Experimental results show the effectiveness and the robustness against frame deletion of the proposed scheme.