Blind video quality prediction by uncovering human video perceptual representation

• Main Authors: Liao, Liang, Xu, Kangmin, Wu, Haoning, Chen, Chaofeng, Sun, Wenxiu, Yan, Qiong, Kuo, Jay C.-C., Lin, Weisi
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Video quality assessment; Human visual system
• Online Access: https://hdl.handle.net/10356/181046
• Institution: Nanyang Technological University

Blind video quality assessment (VQA) has become an increasingly demanding problem in automatically assessing the quality of ever-growing in-the-wild videos. Although efforts have been made to measure temporal distortions, the core to distinguish between VQA and image quality assessment (IQA), the la...