Abstract:

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.

Biography:

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.