Irene Cheng, PhD

Program Director, Faculty of Science - MSc Multimedia
Term Lecturer, Faculty of Science - MSc Multimedia


Program Director, Faculty of Science - MSc Multimedia

Term Lecturer, Faculty of Science - MSc Multimedia


Area of Study / Keywords

Human perception and intelligence in multimedia computing Multimedia data science



  • Post Doc, Computer and Information Science (CIS), University of Pennsylvania, 2007
  • Ph.D., Computing Science, University of Alberta, 2005
  • M.Sc., Computing Science, University of Alberta, 1999
  • B.Sc., Computing Science, University of Alberta, 1996

Additional Positions

  • Scientific Director, Multimedia Research Centre 
  • Director, Masters with Specialization in Multimedia Program website:
  • Adjunct Professor, Computing Science
  • Research Affiliate, Glenrose Rehabilitation Hospital


Multimedia Research Group:


Human Perception in Data Science

Multimedia Graphics & Visualization

Computer Vision, Pattern Recognition and Multimedia Communications


My research interests include multimedia data transmission and Quality of Experience (QoE), mesh simplification and Levels-of-Detail, 3DTV, 3D textured mesh visualization, image processing and adaptive learning/assessment. I introduced the concept of Just-Noticeable-Difference (JND) and Relative Change on 3D TexMesh in the scale-space domain - validated following psychophysical two-alternative-choice methodology.


My research focus is on the analysis of multimedia patterns and their human perceptual impacts on real-world applications, e.g., animation, education, surveillance and healthcare. My techniques are built upon mathematical formulations like Random-Walks, Set Partitioning in Hierarchical Tree (SPIHT), Conditional Random Field (CRF), Scale-Space Filtering and Just-Noticeable-Difference (JND). Recent projects include: Improved automatic multi-exposure image fusion and correspondence; introduced perceptually enhanced techniques for automatic segmentation using visual cues and for enhancing medical or photographic image quality; motion capture data compression and transmission; multi-object tracking. The Computer Reinforced Online Multimedia Education (CROME) framework, which focused on adaptive learning/assessment, was designed and prototyped during the period from 2006-2012.


The MSc with Specialization in Multimedia Program provides students opportunities to work on practical applied projects with industries, and provides companies with skillful & knowledgeable students to participate in company projects. Visit for detail.


CMPUT 605 - Topics in Computing Science

Winter Term 2021
MM 809A - Multimedia Supplementary Project

Sections offered in a Cost Recovery format at an increased rate of fee assessment; refer to the Fees Payment Guide in the University Regulations and Information for Students.

Spring Term 2021

Browse more courses taught by Irene Cheng

Scholarly Activities

Research - Associate Editor, IEEE Transactions on Human-Machine Systems

Research - IEEE ICME Steering Committee

Research - IEEE MMTC Interest Group on Quality of Experience

Research - IEEE SMC 2017 Technical Program Chair

Research - Mitacs College of Reviewers

Admin - Norwood Chinese Education Association Board of Directors


A color intensity invariant low-level feature optimization framework for image quality assessment
Author(s): Navaneeth Kamballur Kottayil, I. Cheng, Frederic Dufaux and A. Basu
Publication: Springer - Signal, Image and Video Processing
Page Numbers: 1-8
External Link:
A Multi-Sensor Technique for Gesture Recognition through Intelligent Skeletal Pose Analysis
Author(s): N. Rossol, I. Cheng and A. Basu
Publication: IEEE Transactions on Human-Machine Systems
Volume: 46
Issue: 3
Page Numbers: 1-10

Adaptive Online Transmission of 3D TexMesh Using Scale-space and Visual Perception Analysis
Author(s): I. Cheng and P. Boulanger
Publication: IEEE Transactions on Multimedia
Volume: 8
Issue: 3
Page Numbers: 550-563

Generalized Random Walks for Fusion of Multi-Exposure Images
Author(s): R. Shen, I. Cheng, J. Shi and A. Basu
Publication: IEEE Transactions on Image Processing
Volume: 20
Issue: 12
Page Numbers: 3634-3646

Image Registration based on Stochastic Graph Perturbation
Author(s): C. Leng, W. Xu, I. Cheng and A. Basu
Publication: IEEE Transactions on Image Processing
Volume: 24
Issue: 12
Page Numbers: 4862-4875

Perceptually Coded Transmission for Arbitrary 3D Objects over Burst Packet Loss Channels and a Generic JND Formulation
Author(s): I. Cheng, L. Ying and A. Basu
Publication: IEEE Journal on Selected Areas in Communications
Volume: 30
Issue: 7
Page Numbers: 1184-1192

Stochastic process for white matter injury detection in preterm neonates
Author(s): I. Cheng, Steven P. Miller, Emma G. Duerden, Kaiyu Sun, Vann Chau, Elysia Adams, Kenneth J. Poskitt, Helen M. Branson, Anup Basu
Publication: Elsevier Journal NeuroImage: Clinical
Volume: 7
Page Numbers: 622-630
External Link: