Quality assessment plays a key role in creating and comparing video compression algorithms. Despite the development of a large number of new methods for assessing quality, generally accepted and well-known codecs comparisons mainly use the classical methods like PSNR, SSIM and new method VMAF. These methods can be calculated following different rules: they can use different frame-by-frame averaging techniques or different summation of color components. In this paper, a fundamental comparison of various versions of generally accepted metrics is carried out to find the most relevant and recommended versions of video quality metrics to be used in codecs comparisons. For comparison, we used a set of videos encoded with video codecs of different standards, and visual quality scores collected for the resulting set of streams since 2018 until 2021

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客观视频质量指标在视频编解码器比较中的应用：选择最佳的主观质量估计

质量评估在创建和比较视频压缩算法方面起着关键作用。尽管开发了大量用于评估质量的新方法，但普遍接受和众所周知的编解码器比较主要使用经典方法，如 PSNR、SSIM 和新方法 VMAF。这些方法可以按照不同的规则计算：它们可以使用不同的逐帧平均技术或不同的颜色分量求和。在本文中，对普遍接受的指标的各种版本进行了基本比较，以找到要用于编解码器比较的最相关和推荐的视频质量指标版本。为了进行比较，我们使用了一组使用不同标准的视频编解码器编码的视频，以及从 2018 年到 2021 年为结果流集收集的视觉质量分数