High Dynamic Range (HDR) videos are able to represent wider ranges of contrasts and colors than Standard Dynamic Range (SDR) videos, giving more vivid experiences. Due to this, HDR videos are expected to grow into the dominant video modality of the future. However, HDR videos are incompatible with existing SDR displays, which form the majority of affordable consumer displays on the market. Because of this, HDR videos must be processed by tone-mapping them to reduced bit-depths to service a broad swath of SDR-limited video consumers. Here, we analyze the impact of tone-mapping operators on the visual quality of streaming HDR videos. To this end, we built the first large-scale subjectively annotated open-source database of compressed tone-mapped HDR videos, containing 15,000 tone-mapped sequences derived from 40 unique HDR source contents. The videos in the database were labeled with more than 750,000 subjective quality annotations, collected from more than 1,600 unique human observers. We demonstrate the usefulness of the new subjective database by benchmarking objective models of visual quality on it. We envision that the new LIVE Tone-Mapped HDR (LIVE-TMHDR) database will enable significant progress on HDR video tone mapping and quality assessment in the future. To this end, we make the database freely available to the community at https://live.ece.utexas.edu/research/LIVE_TMHDR/index.html

翻译：高动态范围（HDR）视频能够呈现比标准动态范围（SDR）视频更宽的对比度和色彩范围，从而带来更加生动的视觉体验。因此，HDR视频有望成为未来主流的视频模态。然而，HDR视频与现有SDR显示器不兼容，而后者占据了市场上大多数平价消费级显示器。为此，HDR视频需要经过色调映射处理，降低其位深度，以服务于大量受限于SDR显示能力的视频消费者。本文分析了色调映射算子对HDR流媒体视频视觉质量的影响。为此，我们构建了首个大规模、带有主观标注的开源压缩色调映射HDR视频数据库，包含从40个独特HDR源内容中导出的15,000个色调映射序列。该数据库中的视频经过超过750,000次主观质量标注，来自1,600多名独立人类观察者。我们通过对该数据库上的客观视觉质量模型进行基准测试，验证了这一新主观数据库的有效性。我们期望，新的LIVE色调映射HDR（LIVE-TMHDR）数据库将推动未来HDR视频色调映射与质量评估领域的重大进展。为此，我们已将该数据库免费开放给社区，网址为https://live.ece.utexas.edu/research/LIVE_TMHDR/index.html。