Skip to main content
Dr Hantao Liu

Dr Hantao Liu

Director of International
Senior Lecturer

School of Computer Science and Informatics

+44 (0)29 2087 6557
+44 (0)29 2087 4598
Room S/3.11, Queen's Buildings, 5 The Parade, Newport Road, Cardiff, CF24 3AA
Available for postgraduate supervision


I am a Senior Lecturer (Associate Professor) in Computer Science at Cardiff University. I graduated from The University of Edinburgh, United Kingdom with a master’s thesis on computer vision and signal processing. I subsequently worked in the Department of Computer Science at Delft University of Technology (TU Delft), The Netherlands for my PhD on image computing and human visual perception. My PhD research was funded by Philips Research Laboratories.

I am a founder member of the Delft Image Quality Lab. Since 2006, I have been working closely with industry to develop next generation image and video technologies. I 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 quality.

My research interests sit at the intersection of visual signal processing, computer vision, machine learning, human visual perception, and human-computer interaction.

Academic leadership

Chair – IEEE Multimedia Communications Technical Committee, Interest Group on Quality of Experience for Multimedia Communications
Associate College Member – EPSRC Peer Review College
Committee Member – Society for Information Display (SID), United Kingdom and Ireland Chapter
Associate Editor – IEEE Transactions on Multimedia [Impact Factor: 5.452] (2017-present)
Associate Editor – IEEE Transactions on Human-Machine Systems [Impact Factor: 3.332] (2015-present)
Associate Editor – Signal Processing: Image Communication (Elsevier) [Impact Factor: 2.814] (2014-present)
Associate Editor – Neurocomputing (Elsevier) [Impact Factor: 3.241] (2012-2018)
Associate Editor – Signal, Image and Video Processing (Springer) [Impact Factor: 1.643] (2012-2017)
Area Chair (Technical Program Committee) – IEEE International Conference on Multimedia and Expo (ICME), 2015-2017
Member (Technical Program Committee) – IEEE International Conference on Quality of Multimedia Experience (QoMEX), 2012-2019


Perceptually Salient Video Quality Awareness via Scene-Level Quality Assessment (The Royal Society)
PI: Dr Hantao Liu
The project aims to develop technology to make any video camera automatically aware of its visual quality. In many scenarios, multiple images/videos of the same scene are captured; for example, videos of the same setting taken at different times, from different viewpoints, using different cameras, or even using the same camera with different settings. To evaluate, monitor, and optimise the system’s performance, there is a need to score/compare the images of the same scene in terms of visual quality.

Computational Models for Assessment of Diagnostic Image Quality (EPSRC)
PI: Dr Hantao Liu
The project aims to develop computational models that can automatically and reliably predict the task performance of the radiologist in the interpretation (e.g., lesion detection) of medical images. These models will be used either to support the human to augment diagnostic efficiency, or to train the human towards improved diagnostic accuracy.

Modelling Human Behavioural Responses to Distortions for Visual Quality Assessment (The Royal Society)
PI: Dr Hantao Liu
Automatic visual quality assessment is the key for the optimisation of image/video acquisition, transmission, processing, and display systems. The research aims to better understand and model how the human visual system (HVS) perceives distortions in visual signals, and to develop algorithms for objective assessment of visual quality.

Medical Image Quality Assessment: Perceived Quality and Diagnostic Performance (Cardiff University – KU Leuven)
PI: Dr Hantao Liu
The project aims to understand how the measured differences in image quality affect diagnostic performance, and to develop computational models that incorporate the knowledge of how radiologists understand medical images. These models will be used as valuable tools in future optimisation of medical systems and clinical procedures.


















Module Leader – Data Processing and Visualisation (undergraduate)
Module Leader – Human Centric Computing (postgraduate)

Research interests

My research interests sit at the intersection of visual signal processing, computer vision, machine learning, human perception and human-computer interaction.

Visual Experience Computing
I am interested in how humans perceive visual information and developing computational models of visual perception. I am interested in image processing and machine vision systems that have the skills of perceptual intelligence, helping people make decisions or improving their experiences.

Perceptual Image and Video Processing
I am interested in biologically motivated visual models and integrating the perceptual elements with image and video processing algorithms. I am interested in perceptually optimised image and video engineering applications that benefit from the use of quantitative visual models.

Eye Movements and Saliency Modelling
I am interested in eye movements and computational saliency models. I am interested in integrating aspects of human visual attention with imaging and computer vision systems.


Picture Quality Databases
TUD Eye-Tracking Database
Cardiff Visual Attention and Visual Quality Toolbox


Modelling Perceived Quality for Imaging Applications, 2011
Author: Hantao Liu
ISBN: 9789491211720