Abstract:
There are several good reasons to make machines that process visual signals (image, video, graphics, animation, screen content, and their combinations) perceive as humans do: artificial intelligence (AI) aims to mimic human capabilities in problem solving; most visual signals (be they naturally captured or computer-generated) we manipulate are for human consumption and uses; human perception is effective and efficient so machines that emulate human functioning have technical advantages; there is an increasing need for harmonious human-machine interaction (in the near future we may have to deal with robots acting as salespersons, colleagues or care-givers). So far, we have been able to build machines that perform significantly better and quicker than our body parts like arms and legs. However, when it comes to modeling human perception, the odyssey proves to be much more difficult. In this seminar, the major problems and research progress in perceptual signal processing will be introduced. The basic computational models (e.g., visual attention, just-noticeable difference, and perceptual signal quality metrics) will be discussed. Afterward, different perceptually-inspired signal processing techniques will be presented. Much of the materials will be drawn upon the presenter’s substantial experience in related academic and industrial projects. The last part of the seminar discusses future research and development possibilities, including those enabled by the emerging big data, cloud media, AI, and VR/AR.
Bio:
Weisi Lin 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 Ph.D from King’s College, University of London. He had been the Lab Head, Visual Processing, in 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.
Lin Weisi教授（IEEE Fellow，IET Fellow），发表了180多篇国际期刊论文、230多篇国际会议论文，拥有多项专利，撰写了多部专著。他主持了10项基金项目，总项目经费达700万新加坡元。他是I2R（Institute for Infocomm Research）实验室主任，曾于2013-2014任计算机科学与工程学院副院长。Lin Weisi教授是IEEE与IET的会士，是新加坡工程技术研究院的荣誉会士。他受邀在20多个国际会议上做了特邀报告。他是IEEE Trans. on Image Processing、IEEE Trans on Circuits and Systems for Video Technology、IEEE Trans on Multimedia、IEEE Signal Processing Letters等著名期刊的副主编。
该讲座为前沿讲座，欢迎全校师生踊跃参加
