Neighbourhood representative sampling for efficient end-to-end video quality assessment

• Main Authors: Wu, Haoning, Chen, Chaofeng, Liao, Liang, Hou, Jingwen, Sun, Wenxiu, Yan, Qiong, Gu, Jinwei, Lin, Weisi
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Quality-Sensitive Neighbourhood Representatives; Video Quality Assessment
• Online Access: https://hdl.handle.net/10356/173445
• Institution: Nanyang Technological University

The increased resolution of real-world videos presents a dilemma between efficiency and accuracy for deep Video Quality Assessment (VQA). On the one hand, keeping the original resolution will lead to unacceptable computational costs. On the other hand, existing practices, such as resizing or croppin...