as part of the ICME 2020, London, UK, July 6-10, 2020
Event date:  July 10, 2020  to December 7, 1969

Workshop will take place July 10, 2020.


Call for Papers:

The Picture-wise Just Noticeable Difference (PJND) for a given subject, image/video, and compression scheme is the smallest distortion that the subject can perceive when the image/video is compressed with this compression scheme. The PJND is normally determined with subjective quality assessment tests for a large population of viewers. Knowing the PJND statistics allows to reduce the bitrate without perceptual quality loss for the chosen proportion of the population. The workshop seeks papers proposing novel techniques to determine or predict the PJND statistics, as well as using these statistics for image/video processing, compression, and communication. While the focus of the workshop is on the PJND concept, contributions to the conventional JND approach where a JND threshold is computed at the pixel or subband level are also welcome provided the work is data driven.

Scope and Topics:

Topics of interest include, but are not limited to:

  • PJND/JND datasets for images, video, 3D video, omni-directional images/video, and point clouds
  • PJND/JND visual attributes related to contents, displays, the environment and the human visual system
  • Data-driven computational models for PJND/JND
  • Machine learning techniques to estimate the PJND/JND
  • Evaluation methods and metrics for JND/PJND models
  • PJND/JND concept, visual attributes, perception and prediction models
  • Data-driven PJND/JND models and their application to visual perception
  • PJND/JND models and their application to multimedia signal processing, compression and communication


Oral and posters; half day



  • Prof. Yun Zhang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
  • Prof. Raouf Hamzaoui, De Montfort University, UK, SFB-TRR 161 Cooperation with Project A05
  • Prof. C.-C. Jay Kuo, University of Southern California, USA
  • Prof. Dietmar Saupe, University of Konstanz, Germany, SFB-TRR 161 Project A05

Important Dates:

  • March 13, 2020: Paper submission deadline
  • April 15, 2020: Paper acceptance notification
  • April 29, 2020: Camera-ready paper submission deadline

Submissions should be made through Microsoft CMT.

Invited Talk:  Visual Perception and JND Modelling: Progress & Challenges

Speaker: Weisi Lin, Nanyang Technological University, Singapore

Abstract: Just-noticeable difference (JNDs), as perceptual thresholds of visibility, determine the minimal amounts of change for differences to be sensed by the human being (e.g., 75% of a population), and play an important role both explicitly and implicitly in many applications. The measurement, formulation and computationally-modeling for JND are the prerequisite for user-centric designs for turning human perceptual limitation into meaningful system advantages. In this talk, a holistic view will be presented on visual JND research and practice: absolute and utility-oriented JNDs; pixel-, subband- and picture- based JNDs; conventional and data-driven JND estimation; databases and model evaluation. Other factors influencing JND include culture and personality, as will be also highlighted. JND modeling for visual signals (naturally captured, computer-generated or mixed ones) has attracted much research interests so far, while those for audio, haptics, olfaction and gestation are expected to attract increasing research interests toward true multimedia. Possible new directions are then to be discussed in order to advance the relevant research.

Bio: Weisi Lin researches in image processing, perception-based signal modelling and assessment, video compression, and multimedia communication systems. In the said areas, he has published 240+ international journal papers and 260+ international conference papers, 9 patents, 9 book chapters, 2 authored books and 3 edited books, as well as excellent track record in leading and delivering more than 10 major funded projects (with over S$7m research funding). He earned his BSc and MSc from Sun Yat-Sen University, China, and Ph.D from King’s College, University of London. He had been the Lab Head, Visual Processing, Institute for Infocomm Research (I2R). He is a Professor in School of Computer Science and Engineering, Nanyang Technological University, where he served as the Associate Chair (Graduate Studies) in 2013-2014.
He is a Fellow of IEEE and IET, and an Honorary Fellow of Singapore Institute of Engineering Technologists. He has been awarded Highly Cited Researcher 2019 by Web of Science, and elected as a Distinguished Lecturer in both IEEE Circuits and Systems Society (2016-17) and Asia-Pacific Signal and Information Processing Association (2012-13), and given keynote/invited/tutorial/panel talks to 20+ international conferences during the past 10 years. He has been an Associate Editor for IEEE Trans. on Image Processing, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Multimedia, IEEE Signal Processing Letters, Quality and User Experience, and Journal of Visual Communication and Image Representation. He was also the Guest Editor for 7 special issues in international journals, and chaired the IEEE MMTC QoE Interest Group (2012-2014); he has been a Technical Program Chair for IEEE Int’l Conf. Multimedia and Expo (ICME 2013), International Workshop on Quality of Multimedia Experience (QoMEX 2014), International Packet Video Workshop (PV 2015), Pacific-Rim Conf. on Multimedia (PCM 2012) and IEEE Visual Communications and Image Processing (VCIP 2017). He believes that good theory is practical, and has delivered 10+ major systems and modules for industrial deployment with the technology developed.

More Information

Event location:  Queen Mary University, London, UK
Mile End Road
Link: ICME 2020