Title: Saliency-Driven Approaches for Visual Quality Assessment
Speaker: Prof. Liu Hantao
Time: April 17, 16:00
Venue: Lecture Hall 504, Yifu Science Hall, Wushan Campus
[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.
Announced by School of Electronic and Information Engineering
