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Detection of fake high definition for HEVC videos based on prediction mode feature

机译:基于预测模式特征的HEVC视频假高清晰度检测

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A high definition (HD) video usually means a good visual quality, and the video with low quantization parameter (QP) or high bit rate has a good video definition. However, forgers prefer to directly re-encode lower definition videos using lower QP or higher bit rate without video quality improvement to pretend to be HD videos. Therefore, fake HD video detection is necessary in video forensics. In this paper, a novel method is proposed to detect the fake HD for high efficient video coding (HEVC) videos based on prediction mode feature (PMF). According to our analysis, the HEVC prediction mode scheme of the subsequent encoding could be influenced by the previous lower quality encoding, hence the frequencies of prediction unit with all types of prediction modes can be used to detect the fake HD videos. Firstly, a 4-D features are extracted from Planar, DC, H0 direction and V0 direction intra prediction modes. Secondly, a 6-D features are extracted from Skip, Merge and AMVP inter prediction modes. Finally, these two feature sets are combined into the PMF to detect fake HD videos and further estimate their original QPs and bit rates. Experimental results show that the performance of the proposed method outperforms state-of-the-art works. (C) 2019 Elsevier B.V. All rights reserved.
机译:高清晰度(HD)视频通常意味着良好的视觉质量,而量化参数(QP)低或比特率高的视频具有良好的视频清晰度。但是,伪造者更喜欢使用较低的QP或较高的比特率直接重新编码较低清晰度的视频,而不会提高视频质量,就伪装成高清视频。因此,在视频取证中必须进行假高清视频检测。本文提出了一种基于预测模式特征(PMF)的高效视频编码(HEVC)视频伪造高清检测方法。根据我们的分析,后续编码的HEVC预测模式方案可能会受到先前较低质量编码的影响,因此可以使用具有所有类型的预测模式的预测单元的频率来检测假高清视频。首先,从平面,DC,H0方向和V0方向帧内预测模式中提取4-D特征。其次,从跳过,合并和AMVP帧间预测模式中提取6维特征。最后,将这两个功能集组合到PMF中,以检测假高清视频并进一步估计其原始QP和比特率。实验结果表明,该方法的性能优于最新技术。 (C)2019 Elsevier B.V.保留所有权利。

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