Subjective and Objective Quality Assessment of High Frame Rate Videos

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 generally very high quality, bandwidth requirements make them challenging to deliver efficiently, while simultaneously maintaining their quality. To optimize trade-offs between and video in terms adaptation, it is imperative understand intricate relationship perceptual Towards advancing progression this direction we designed a new subjective resource, called LIVE-YouTube-HFR (LIVE-YT-HFR) dataset, which comprised 480 having 6 different rates, obtained from 16 diverse contents. In order combined effects compression adjustment, also processed at 5 levels each rate. obtain labels on videos, conducted human study yielding 19,000 quality ratings pool 85 subjects. We holistic evaluation existing state-of-the-art Full No-Reference algorithms, statistically benchmarked performance database. The LIVE-YT-HFR database has been made available online for public use purposes, hopes that will help advance research exciting technology direction. It may be https://live.ece.utexas.edu/research/LIVE_YT_HFR/LIVE_YT_HFR/index.html.