论文标题
高帧速率视频的主观和客观质量评估
Subjective and Objective Quality Assessment of High Frame Rate Videos
论文作者
论文摘要
高帧速率（HFR）视频越来越普遍，随着现场高级流媒体内容（例如运动）的巨大流行。尽管HFR内容通常具有很高的质量，但高带宽要求使它们具有挑战性地提供有效交付，同时保持其质量。为了优化带宽要求和视频质量之间的权衡，就帧速率适应而言，必须了解帧速率和感知视频质量之间的复杂关系。为了朝这个方向推进进展，我们设计了一种新的主观资源，称为Live-Youtube-HFR（Live-YT-HFR）数据集，该数据集由480个视频组成，该视频具有6种不同的帧速率，这些视频从16种不同的内容中获得。为了了解压缩和帧速率调整的综合效果，我们还以每个帧速率以5个压缩水平处理视频。为了获得视频上的主观标签，我们进行了一项人类研究，得出了从85个人类受试者库中获得的19,000个人类质量评级。我们还对现有的全面和无参考视频质量算法进行了整体评估，并从统计上标准化了他们在新数据库上的性能。 Live-YT-HFR数据库已在线提供，用于公共用途和评估目的，希望它将有助于推进这一令人兴奋的视频技术方向的研究。它可以在\ url {https://live.ece.utexas.edu/research/live_yt_hfr/live_yt_hfr/index.html}获得。
High frame rate (HFR) videos are becoming increasingly common with the tremendous popularity of live, high-action streaming content such as sports. Although HFR contents are generally of very high quality, high bandwidth requirements make them challenging to deliver efficiently, while simultaneously maintaining their quality. To optimize trade-offs between bandwidth requirements and video quality, in terms of frame rate adaptation, it is imperative to understand the intricate relationship between frame rate and perceptual video quality. Towards advancing progression in this direction we designed a new subjective resource, called the LIVE-YouTube-HFR (LIVE-YT-HFR) dataset, which is comprised of 480 videos having 6 different frame rates, obtained from 16 diverse contents. In order to understand the combined effects of compression and frame rate adjustment, we also processed videos at 5 compression levels at each frame rate. To obtain subjective labels on the videos, we conducted a human study yielding 19,000 human quality ratings obtained from a pool of 85 human subjects. We also conducted a holistic evaluation of existing state-of-the-art Full and No-Reference video quality algorithms, and statistically benchmarked their performance on the new database. The LIVE-YT-HFR database has been made available online for public use and evaluation purposes, with hopes that it will help advance research in this exciting video technology direction. It may be obtained at \url{https://live.ece.utexas.edu/research/LIVE_YT_HFR/LIVE_YT_HFR/index.html}
