报告人：Weisi Lin教授，新加坡南洋理工大学

报告题目：Computational Models of Just Noticeable Differences for Human Senses

报告时间：2018年12月19日14:30-17:30

报告地点：数计学院2号楼309

Abstract: As a result of the evolution, humans have developed unique characteristics in perception of viewing, hearing, smelling, touching and tasting (i.e., the five basic human senses). The term Just Noticeable Difference (JND) refers to the minimal amount of “X” that must be changed for a difference to be sensed by humans, where X can be any signal, derived quantity from signals such as emotion and user-experience, or even technical specifications such as resolution, asynchrony, accuracy, etc. “Perception is reality”, so the JND plays an important role both explicitly and implicitly throughout our work and life, from sound to smell and from engineering to marketing (e.g., advertisement, logo management, personalization, and recommendation). The scientific measurement and formulation for JND are the prerequisite for user-centric designs and for turning human perceptual limitation into many system advantages. In this talk, a holistic view will be  presented on JND research and practice, followed by an in-depth case study in visual signals. JND modeling for visual signals (both naturally captured and computer-generated ones) has attracted much research interests so far, while those for audio, haptics, olfaction, gestation and other forms of signals are expected to attract increasing research interests. In essence, factors to influence JND also include utility, culture and personality, as will be highlighted, since they are important to many AI (artificial intelligence) tasks. 

Speaker bio: Dr Lin Weisi is an active researcher in image processing, perception-based signal modelling and assessment, video compression, and multimedia communication systems. In the said areas, he has published 180+ international journal papers and 230+ international conference papers, 7 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 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.

报告人简介：Weisi Lin是图像处理、基于感知的信号建模和评估、视频压缩和多媒体通信系统领域的活跃研究人员。在上述领域，他发表了180多篇国际期刊论文、230多篇国际会议论文，获得7项专利。他获得了伦敦大学国王学院博士学位，是南洋理工大学计算机科学与工程学院教授，是IEEE和IET院士和新加坡工程技术学院的荣誉院士。