报告题目：Saliency-Driven Approaches for Visual Quality Assessment
报 告 人：刘汉涛教授（卡迪夫大学）
报告时间：2025年4月17日（星期四）下午16:00—17:00
报告地址：五山校区逸夫科学馆504报告厅
报告邀请人：曾德炉教授
邀约单位：电子与信息学院
报告摘要：
In the era of increasing reliance on multimedia, accurately assessing image quality has become crucial for a wide range of applications, from entertainment to medical imaging. Saliency-based approaches, which stimulate human visual attention, provide powerful tools to bridge the gap between computational assessment and human perception. This talk explores the role of saliency in image and video quality assessment, highlighting state-of-the-art techniques that integrate saliency modelling with AI-driven quality assessment frameworks. I will demonstrate how these methods enhance the precision and reliability of quality assessments. The discussion will cover recent advancements, challenges, and future directions in the field.
报告人介绍：
Hantao Liu is Professor with the School of Computer Science and Informatics, Cardiff University, United Kingdom. He received the Ph.D. degree from the Delft University of Technology, Delft, The Netherlands, in 2011. He is a founder member of the Delft Image Quality Lab. His research interests include visual media quality assessment, visual attention modelling and applications, visual scene understanding, medical image perception and human-machine interaction. He is serving as Associate Editor for IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.