Prof. Kai-Kuang Ma
Nanyang Technological University, Singapore
Speech Title: Recent Research on Fundamental Image Processing for High-definition Images
Professor Kai-Kuang Ma has been with the School of Electrical and Electronic Engineering since 1995; he is currently a full professor in the Division of Information Engineering. Dr. Ma received his B.E. degree (electronic engineering) from Chung Yuan Christian University, Chung-Li, Taiwan, Republic of China, M.S. degree (electrical engineering) from Duke University, Durham, NC, U.S.A., and the Ph.D. degree (electrical engineering) from North Carolina State University, Raleigh, NC, U.S.A.
From 1992 to 1995, he was with Institute of Microelectronics (IME) as a Member of Technical Staff, working on digital video coding and the MPEG standards. From 1984 to 1992, he was working in IBM Corporation at Kingston, NY, and then Research Triangle Park, NC, U.S.A., engaging on various DSP and VLSI advanced product development. His research interests are in the areas of digital signal, image and video processing. Prof. Ma has produced more than one hundred publications in well-known international journals, conferences, and MPEG standardization meetings. He holds one USA patent on fast motion estimation algorithm.
He was serving as Singapore MPEG Chairman and Head of Delegation (1997-2001), and his research works on fast motion estimation have been adopted by MPEG-4 standard. He is elected as a Distinguished Lecturer in the IEEE Circuits and Systems Society for a two-year term (2008-2009). He has been serving as Technical Program Chairman or Committee Members in numerous international conferences in his area, including the most well-known flagship conferences, such as ICIP, ICASSP, ISCAS, and so on. Dr. Ma is currently serving as (Associate) Editor or Editorial Board Member of six international journals, including IEEE Transactions on Image Processing (2007~), IEEE Transactions on Communications (1997~), IEEE Transactions on Multimedia (2002~), etc. He is a Senior Member of the IEEE and member of Eta Kappa Nu.
Abstract: Fast developments on ultra-high-resolution displays (e.g., 8K displays) has brought a plethora of new requirements and expectations on the presentation of high-resolution and high-quality images in various image applications. Furthermore, critical image quality assessment metrics have been also actively investigated and developed. Based on these, many existing fundamental image processing algorithms are out of date, and new algorithms are required toe researched for replacing them. In this talk, I shall highlight this trend and demonstrate some fundamental and state-of-the-art image processing techniques from different image processing fields, such as image demosaicing, image interpolation, super-resolution, feature extraction and equalization for examples.
Assoc. Prof. Lipo Wang
Nanyang Technological University, Singapore
Speech Title: Image Processing Using Machine Learning
Dr. Lipo Wang received the Bachelor degree from National University of Defense Technology (China) and PhD from Louisiana State University (USA). His research interest is intelligent techniques with applications to communications, image/video processing, biomedical engineering, and data mining. He is (co-)author of over 270 papers, of which more than 90 are in journals. He holds a U.S. patent in neural networks and a Chinese patent in VLSI. He has co-authored 2 monographs and (co-)edited 15 books. He was/will be keynote/panel speaker for 21 international conferences. He is/was Associate Editor/Editorial Board Member of 30 international journals, including 3 IEEE Transactions, and guest editor for 10 journal special issues. He is an AdCom member (2010-2015) of the IEEE Computational Intelligence Society (CIS) and served as CIS Vice President for Technical Activities and Chair of Emergent Technologies Technical Committee. He is a member of the Board of Governors of the International Neural Network Society (2011-2016) and was an AdCom member of the IEEE Biometrics Council. He served as Chair of Education Committee, IEEE Engineering in Medicine and Biology Society (EMBS). He was President of the Asia-Pacific Neural Network Assembly (APNNA) and received the APNNA Excellent Service Award. He was founding Chair of both the EMBS Singapore Chapter and CIS Singapore Chapter. He serves/served as chair/committee members of over 200 international conferences.
Abstract: In recent years, machine learning has been enjoying many successful applications in the entire spectrum of technology. This talk highlights some of our research results in image processing using machine learning, such as brain trauma diagnosis, chip fault detection, glaucoma diagnosis, scanning acoustic microscope image analysis, action recognition in videos, content-based image retrieval, and face recognition. Machine learning techniques that we used include convolutional neural networks, fuzzy neural networks, support vector machines, etc.
Prof. Nobuhiko Mukai
Tokyo City University, Japan
Speech Title: VR based Simulator for Japanese Flower Arrangement
Nobuhiko Mukai is a professor of Graduate School of Integrative Science and Engineering, Tokyo City University. He received his B.E., M.E., and Ph.D degrees from Osaka University in 1983, 1985, and 2001 respectively. He started to work at Mitsubishi Electric Corporation and changed to work as an associate professor at Musashi Institute of Technology in 2002. He is currently a professor of Tokyo City University from 2007. His research interests are computer graphics and image processing. He is a member of ACM, SAS, VRSJ, IEICE, ITE, IPSJ, IIEEJ, and JSUM.
Abstract: In the world, there are varieties of flower arrangements and many people are enjoying them. Flower arrangement makes people happy, while it takes great expense to learn the techniques since living flowers are needed for the training. In Japan, there is a flower arrangement called “Ikebana”, Then, we have developed a virtual reality based simulator for Ikebana training, with which people can learn Ikebana techniques repeatedly without living flowers. The system uses two haptic devices so that people can handle flowers with both hands and feel the force when they put a flower into “Kenzan”, which is a kind of tool that has many needles and keeps flowers on it. The simulator handles 3D models generated by computer graphics modeling software so that the trainees can confirm the arrangement from any angles. People can also get stereoscopic view with inclination glasses so that they can have the space perception during the training. In addition, there is a guideline for the training so that people can learn the technique without trainers and they can evaluate their designs by comparison with a sample designed by a trainer.
Prof. Lih-Shyang Chen
National Cheng Kung University, Taiwan
Speech Title: TBA
Prof. Lih-Shyang Chen is a Professor of Department of Electrical Engineering of National Cheng Kung University, Taiwan. He received his PhD from University of Pennsylvania in 1987. He had worked as a researcher at Bell Laboratories, USA in 1987-1990 and Director of Computer Center, Ministry of Education, Taiwan in 1996-2000. His research interests include Computer Graphics and Virtual Reality, Image Processing and Computer Vision, Internet Network Systems and Internet Web applications, Multimedia Application System.