  Video live streaming is gaining prevalence among video streaming services,
especially for the delivery of popular sporting events. Many objective Video
Quality Assessment (VQA) models have been developed to predict the perceptual
quality of videos. Appropriate databases that exemplify the distortions
encountered in live streaming videos are important to designing and learning
objective VQA models. 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) Live stream Database. The LIVE Livestream Database includes 315 videos
of 45 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. 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.
