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 optimized use of saliency in visual
quality assessment systems.
Biography: Dr Hantao Liu is a Lecturer (Assistant 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. Since 2006, he has been
working closely with industry to develop next generation image and video technologies. He led a
project funded by Philips Research Laboratories that developed novel algorithms for visual media
quality assessment; and a project funded by Philips Healthcare that addressed a number of issues
related to medical image perception. 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 served as a Management Committee member (UK representative) of COST Action IC1003 Qualinet:
European Network on Quality of Experience in Multimedia Systems and Services, and Area Chair of
IEEE International Conference on Multimedia and Expo 2015, 2016 and 2017. He is now serving as the
Chair of IEEE MMTC Interest Group on Quality of Experience for Multimedia Communications. He is
serving as an Associate Editor for the following international journals: IEEE Transactions on
Multimedia; IEEE Transactions on Human-Machine Systems; Signal Processing: Image Communication;
Signal, Image and Video Processing; and Neurocomputing.
University of Konstanz, Universitätsstr. 10, Konstanz
Unfortunately, the talk will not be transmitted to Stuttgart and Tübingen.