Exploring video quality assessment on user generated contents from aesthetic and technical perspectives

• Main Authors: Wu, Haoning, Zhang, Erli, Liao, Liang, Chen, Chaofeng, Hou, Jingwen, Wang, Annan, Sun, Wenxiu, Yan, Qiong, Lin, Weisi
• Other Authors: College of Computing and Data Science
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Computer vision; Codes
• Online Access: https://hdl.handle.net/10356/178458
• Institution: Nanyang Technological University

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-VQA problem is still ambiguous and can be viewed from two perspectives: the technical perspective, measuring the perception of...