对使用AV1压缩4K HDR内容的内容自适应优化器影响的主观评估
Subjective assessment of the impact of a content adaptive optimiser for compressing 4K HDR content with AV1
AI总结：
本文通过42名受试者的主观质量评估，研究内容自适应优化器对4K HDR/AV1压缩的影响，分析主观评分与客观指标的相关性，并就HDR研究中专家与非专家的使用及胶片颗粒的主观影响提出建议。
摘要：
自2015年以来，视频维度已扩展到更高的空间和时间分辨率以及更宽的色域。这种高动态范围（HDR）内容在消费领域获得了越来越多的关注，因为它能提供增强的体验质量。与此同时，编解码器的复杂性也在不断增长。这推动了内容自适应优化工具的发展，这些工具能够在4K分辨率下为HDR视频实现最优的率失真性能。虽然BD-Rate仅几个百分点（1-5%）的改进对流媒体行业来说意义重大，但其对主观质量的影响研究较少，尤其是对于HDR/AV1。在本文中，我们对4K HDR内容进行了主观质量评估（42名受试者），并采用了逐片段优化策略。我们将这些主观评分与标准制定中使用的现有流行客观指标进行相关性分析，结果表明一些感知指标尽管未针对HDR进行调优，却表现出令人惊讶的良好相关性。我们发现DSQCS协议过于不敏感，无法对方法进行明确分类比较，但数据使我们能够就HDR研究中专家与非专家的使用提出建议，并解释了压缩下HDR内容中胶片颗粒的主观影响。
英文摘要：
Since 2015 video dimensionality has expanded to higher spatial and temporal resolutions and a wider colour gamut. This High Dynamic Range (HDR) content has gained traction in the consumer space as it delivers an enhanced quality of experience. At the same time, the complexity of codecs is growing. This has driven the development of tools for content-adaptive optimisation that achieve optimal rate-distortion performance for HDR video at 4K resolution. While improvements of just a few percentage points in BD-Rate (1-5\%) are significant for the streaming media industry, the impact on subjective quality has been less studied especially for HDR/AV1. In this paper, we conduct a subjective quality assessment (42 subjects) of 4K HDR content with a per-clip optimisation strategy. We correlate these subjective scores with existing popular objective metrics used in standard development and show that some perceptual metrics correlate surprisingly well even though they are not tuned for HDR. We find that the DSQCS protocol is too insensitive to categorically compare the methods but the data allows us to make recommendations about the use of experts vs non-experts in HDR studies, and explain the subjective impact of film grain in HDR content under compression.
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