Subjective Quality Assessment for YouTube UGC Dataset [article]

Joong Gon Yim, Yilin Wang, Neil Birkbeck, Balu Adsumilli
2020 arXiv   pre-print
Due to the scale of social video sharing, User Generated Content (UGC) is getting more attention from academia and industry. To facilitate compression-related research on UGC, YouTube has released a large-scale dataset. The initial dataset only provided videos, limiting its use in quality assessment. We used a crowd-sourcing platform to collect subjective quality scores for this dataset. We analyzed the distribution of Mean Opinion Score (MOS) in various dimensions, and investigated some
more » ... ntal questions in video quality assessment, like the correlation between full video MOS and corresponding chunk MOS, and the influence of chunk variation in quality score aggregation.
arXiv:2002.12275v1 fatcat:pyia6mi5rfhbjn6oeeuxcmupoq