电信学部海外学者在线报告第八期——Visual Quality Assessment & Saliency Modelling 视觉质量评估与显著性建模
时间: 2021/06/07 15:49:03 点击: 次
Visual Quality Assessment & Saliency Modelling
School of Computer Science and Informatics, Cardiff University, United Kingdom
Abstract: Reliably predicting visual media quality as perceived by humans remains challenging and is of high practical relevance. A significant research trend is to investigate visual saliency and its implications for visual quality assessment. Fundamental problems regarding how to acquire reliable eye-tracking data and how saliency should be incorporated in computational quality assessment models are largely unsolved. This talk will focus on methodologies for reliably collecting eye-tracking data, assessment of the capabilities of saliency in improving the performance of quality assessment models, as well as the optimised use of saliency in visual quality assessment systems.
Dr Hantao Liu is Associate 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 the following international journals: IEEE Transactions on Multimedia; IEEE Transactions on Human-Machine Systems; Signal Processing: Image Communication.
参会方式：腾讯会议 ID：221 326 657