The emergence of the high-efficiency video coding (HEVC) standard enables people to enjoy high definition (HD) video content; meanwhile, HD videos, tamper detection has become a crucial issue and gradually aroused people's attention. The detection of double HEVC compressed videos with the same coding parameters is challenging since the recompression traces are inconspicuous. To deal with this issue, a novel method based on the intra prediction mode is proposed in this paper. First, the quality degradation mechanism is analyzed to facilitate the selection of classification features and the source of error in intra coding is fully considered to establish the equivalent error model. Second, the feature model of double HEVC compression detection, which is mainly based on the statistical feature of intra prediction mode, is proposed. Finally, the experiment is carried out in 720p and 1080p HEVC videos instead of low-resolution (CIF or QCIF) videos. Experimental results have demonstrated better efficiency of the proposed method in comparison to the state-of-the-art methods. Besides, the proposed method is more robust to various encoding configurations.

中文翻译：

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基于帧内编码质量劣化过程分析的相同编码参数HEVC双重压缩检测


高效视频编码（HEVC）标准的出现使人们能够享受高清（HD）视频内容；与此同时，高清视频的篡改检测已成为至关重要的问题并逐渐引起人们的关注。由于再压缩痕迹不明显，因此检测具有相同编码参数的双 HEVC 压缩视频具有挑战性。为了解决这个问题，本文提出了一种基于帧内预测模式的新方法。首先，分析质量退化机制，以便于分类特征的选择，并充分考虑帧内编码中的误差来源，建立等效误差模型。其次，提出了主要基于帧内预测模式统计特征的双HEVC压缩检测特征模型。最后，实验在 720p 和 1080p HEVC 视频而不是低分辨率（CIF 或 QCIF）视频中进行。实验结果表明，与最先进的方法相比，所提出的方法具有更好的效率。此外，所提出的方法对于各种编码配置更加鲁棒。