Blindly Assess Quality of In-the-Wild Videos via Quality-Aware Pre-Training and Motion Perception

• Published in: IEEE transactions on circuits and systems for video technology Vol. 32; no. 9; pp. 5944 - 5958
• Main Authors: Li, Bowen, Zhang, Weixia, Tian, Meng, Zhai, Guangtao, Wang, Xianpei
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Blind video quality assessment; Distortion; Feature extraction; Image quality; in-the-wild videos; Knowledge management; list-wise ranking loss; Motion perception; Object recognition; Quality assessment; Quality assurance; Three-dimensional displays; Training; transfer learning; Video; Videos

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 quality and the complexity of authentic distortions pose great challenges for this kind of blind video quality asses...