Detecting double MPEG compression with the same quantiser scale based on MBM feature
Detecting double MPEG compression with the same quantiser scale based on MBM feature
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DOI：
10.1109/icassp.2016.7472040
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发表时间：
2016-03
期刊：
影响因子：
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通讯作者：
Jieyuan Chen;Xinghao Jiang;Tanfeng Sun;Peisong He;Shilin Wang
中科院分区：
文献类型：
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作者：
Jieyuan Chen;Xinghao Jiang;Tanfeng Sun;Peisong He;Shilin Wang
检测双重MPEG压缩在视频取证中具有重要意义。然而，现有的方法是有效的，只有当主压缩和二次压缩具有不同的量化尺度（QS）。目前还没有有效的方法来处理具有相同QS的双重MPEG压缩。本文提出了一种基于宏块模式统计特征（MBM）的检测方法，该方法由宏块类型和P帧运动矢量组成，用于检测具有相同QS的双重MPEG压缩。MBM统计特征是在多次解码过程中，当视频被重复压缩多次相同的QS时提取的。最后，将该特征与支持向量机（SVM）相结合，对单MPEG压缩和双MPEG压缩进行分类。实验证明了该方法的有效性和鲁棒性，以广泛的质量和不同的编码器。
Detecting double MPEG compression is of prime significance in video forensics. However, existing methods are effective only when the primary compression and the secondary compression have different quantiser scales (QS). There is a lack of effective methods dealing with double MPEG compression with the same QS. In this paper, a novel method based on the statistical feature of macroblock mode (MBM) which consists of macroblock type and motion vector in P-frames is proposed to detect double MPEG compression with the same QS. The MBM statistical feature is extracted during multiple decoding procedures when the video is repeatedly compressed with the same QS for several times. Finally, the proposed feature is combined with the support vector machine (SVM) to classify the single MPEG compression and double MPEG compression. Experiments have demonstrated the effectiveness of the proposed method and the robustness to a wide range of QSs and different encoders.