The latest video coding standard H.265/HEVC is developed to succeed the previous coding standard H.264/AVC. However, a large amount of legacy content was coded with H.246/AVC. Therefore, transcoding from H.264/AVC to H.265/HEVC format is required. During the process of transcoding, we can easily calculate the distortion of the transcoded video with respect to the H.264/AVC-decoded video. However, since the original video is usually unavailable, the distortion between the original video and the transcoded video is unknown, which makes it difficult to control the coding quality of the transcoded video compared to the original video. In this paper, we propose a novel and accurate quality estimation method for transcoded videos utilizing probability theory. Experimental results demonstrate that the predicted quality of transcoded videos approximate the true value, with an average error of 0.28 dB, 0.41 dB, and 0.46 dB for Y, Cb, and Cr components, respectively.

中文翻译：

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利用概率理论对从 H.264/AVC 到 H.265/HEVC 的转码视频进行客观质量评估的新方法

最新的视频编码标准 H.265/HEVC 是为了继承之前的编码标准 H.264/AVC 而开发的。然而，大量遗留内容是用 H.246/AVC 编码的。因此，需要从 H.264/AVC 格式转码到 H.265/HEVC 格式。在转码过程中，我们可以很容易地计算出转码视频相对于 H.264/AVC 解码视频的失真。然而，由于原始视频通常是不可用的，原始视频和转码视频之间的失真是未知的，这使得与原始视频相比，转码视频的编码质量难以控制。在本文中，我们利用概率论提出了一种新颖且准确的转码视频质量估计方法。