Perceptual video quality assessment plays a vital role in the field of video processing due to
the existence of quality degradations introduced in various stages of video signal …

Current deep video quality assessment (VQA) methods are usually with high computational
costs when evaluating high-resolution videos. This cost hinders them from learning better …

This paper reviews the AIS 2024 Video Quality Assessment (VQA) Challenge focused on
User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based …

Quality assessment for User Generated Content (UGC) videos plays an important role in
ensuring the viewing experience of end-users. Previous UGC video quality assessment …

The rapid increase in user-generated-content (UGC) videos calls for the development of
effective video quality assessment (VQA) algorithms. However, the objective of the UGC …

Recent years have witnessed an explosion of user-generated content (UGC) videos shared
and streamed over the Internet, thanks to the evolution of affordable and reliable consumer …

No-reference (NR) perceptual video quality assessment (VQA) is a complex, unsolved, and
important problem for social and streaming media applications. Efficient and accurate video …

Blind or no-reference video quality assessment of user-generated content (UGC) has
become a trending, challenging, heretofore unsolved problem. Accurate and efficient video …

User-generated content (UGC) live videos are often bothered by various distortions during
capture procedures and thus exhibit diverse visual qualities. Such source videos are further …

Perceptual quality assessment of the videos acquired in the wilds is of vital importance for
quality assurance of video services. The inaccessibility of reference videos with pristine …