During the process of authenticating the integrity of digital videos, double compression is an important evidence. High-efficiency video coding (HEVC) is the latest coding standard proposed in 2013 and has shown superior performance over its predecessors. It brings in several novel syntactic units, such as coding tree unit (CTU), prediction unit (PU), and transform unit (TU). Few methods have been reported to detect HEVC double compression by utilizing such new characteristics. In this paper, a novel scheme based on TU is proposed to detect double compression of HEVC videos. The histogram of each TU partition type in the first I/P frame of all GOPs is calculated. The feature set is fed into SVM to classify single and double compressed videos. Experimental results have demonstrated the effectiveness of TU-based feature (accuracy in [0.84, 0.97]) that bears very low dimension (10-D). And it is also shown that TU-based feature set can be combined with other feature sets to boost their performance.

中文翻译：

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基于TU分区类型的不同比特率下的HEVC双压缩检测

在验证数字视频完整性的过程中，双重压缩是一个重要的证据。高效视频编码（HEVC）是2013年提出的最新编码标准，其性能优于其前身。它引入了几种新颖的语法单元，例如编码树单元（CTU），预测单元（PU）和变换单元（TU）。很少有方法利用这种新特性来检测HEVC双重压缩。在本文中，提出了一种基于TU的新方案来检测HEVC视频的双重压缩。计算所有GOP的第一个I / P帧中每个TU分区类型的直方图。该功能集被馈入SVM，以对单压缩视频和双压缩视频进行分类。实验结果证明了基于TU的功能的有效性（准确度[0.84，0。97]），尺寸非常小（10-D）。并且还显示了基于TU的功能集可以与其他功能集结合使用以提高其性能。