Study of the Subjective and Objective Quality of High Motion Live Streaming Videos

Abstract

Video livestreaming is gaining prevalence among video streaming services, especially for the delivery of live, high motion content such as sporting events. The quality of these livestreaming videos can be adversely affected by any of a wide variety of events, including capture artifacts, and distortions incurred during coding and transmission. High motion content can cause or exacerbate many kinds of distortion, such as motion blur and stutter. Because of this, the development of objective Video Quality Assessment (VQA) algorithms that can predict the perceptual quality of high motion, live streamed videos is greatly desired. Important resources for developing these algorithms are appropriate databases that exemplify the kinds of live streaming video distortions encountered in practice. Towards making progress in this direction, we built a video quality database specifically designed for live streaming VQA research. The new video database is called the Laboratory for Image and Video Engineering (LIVE) Livestream Database. The LIVE Livestream Database includes 315 videos of 45 source sequences from 33 original contents impaired by 6 types of distortions. We also performed a subjective quality study using the new database, whereby more than 12,000 human opinions were gathered from 40 subjects. We demonstrate the usefulness of the new resource by performing a holistic evaluation of the performance of current state-of-the-art (SOTA) VQA models. We envision that researchers will find the dataset to be useful for the development, testing, and comparison of future VQA models. The LIVE Livestream database is being made publicly available for these purposes at https://live.ece. utexas.edu/research/LIVE_APV_Study/apv_index.html

Performance Comparison of H.264 and H.265 Encoders in a 4K FPV Drone Piloting System

“…For this reason, it is desirable to use as many different metrics as possible when determining video quality. A detailed analysis of objective quality metric performance, performed on UHD high-motion sports footage (LIVE database), is given in [7].…”

BVI-VFI: A Video Quality Database for Video Frame Interpolation

“…Various subjective quality databases exist that support studies into how the human vision system (HVS) perceives video quality. These include those developed in the context of video compression, e.g., the early VQEG FR-TV Phase I [70], LIVE VQA [71], LIVE Mobile [72], CSIQ-VQA [73], BVI-HD [74], LIVE-SJTU [75], TVG [76], CSCVQ [77] and LIVE Livestream [78]. Video quality databases also exist that support investigations into distortions due to video parameter variations (e.g, frame rate, spatial resolution and bit depth, with or without video compression artefacts), including MCL-V [79], MCML-4K-UHD [80], BVI-SR [81], BVI-HFR [81], BVI-BD [82], FRD-VQA [83], LIVE-YT-HFR [84], AVT-VQDB-UHD-1 [85] and ETRI-LIVE STSVQ [86].…”

Subjective and Objective Quality Assessment of High-Motion Sports Videos at Low-Bitrates

“…Crowdsourced databases such as Konvid [5], YT-UGC [6], and VQC [7] are typically used to design video quality metrics for user-generated content. In-lab databases such as LIVE-ETRI [8] and LIVE Livestream [9] are created for professionally created content in highly controlled settings and as a result are typically more internally consistent. However, there are very few databases that consider the effect of resolution, compression level, and frame-rate at the same time, and to the best of our knowledge there are no databases specifically targeting the low-bitrate regime for highmotion contents.…”