The increasing popularity of video (ie, audio-visual) applications or services over both wired
and wireless links has prompted recent growing interests in the investigations of quality of …

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 …

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 …

Quality assessment of in-the-wild videos is a challenging problem because of the absence
of reference videos and shooting distortions. Knowledge of the human visual system can …

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 …

Smartphones and other consumer devices capable of capturing video content and sharing it
on social media in nearly real time are widely available at a reasonable cost. Thus, there is a …

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 …