• Keynote Speakers 主讲嘉宾

      Prof. NGAN King Ngi

    IEEE & IET Fellow

    The Chinese University of Hong Kong, Hong Kong

    Prof. Ngan received his B.Sc. (Hons) and Ph.D. degrees, both in Electrical Engineering from Loughborough University, U.K., in 1978 and 1982, respectively. He joined the Department of Electronic Engineering, the Chinese University of Hong Kong as Chair Professor in 2003. He has been appointed Chair Professor at the University of Electronic Science and Technology, Chengdu, China, under the National Thousand Talents Program (千人计划) since 2012. Previously he was a Full Professor at the School of Computer Engineering, Nanyang Technological University, Singapore, and the School of Electrical, Electronic and Computer Engineering, University of Western Australia, Australia. He was appointed as Honorary Professor of Tunku Abdul Rahman University in Malaysia, Adjunct/Visiting Professor of Zhejiang University, Shanghai Jiaotong University, Shanghai University, Huazhong University of Science and Technology and Huaqiao University in China, Distinguished Adjunct Professor of the National Sun Yat-sen University in Taiwan, and Adjunct Professor of the University of Western Australia and RMIT University in Australia. He served as the External Examiner for the B.Eng. degree program of Malaysia's Multimedia University, and was appointed as IEEE Distinguished Lecturer of the IEEE Circuits and Systems Society in 2006-2007.

    Prof. Ngan is active in many professional activities. He was an associate editor of the Journal on Visual Communications and Image Representation, U.S.A., and an area editor of EURASIP Journal of Image Communications, and served as an associate editor of IEEE Transactions on Circuits and Systems for Video Technology and Journal of Applied Signal Processing. He chaired a number of prestigious international conferences on video signal processing and communications and served on the advisory and technical committees of numerous professional organizations. He co-chaired the IEEE International Conference on Image Processing (ICIP) in 2010 in Hong Kong. He has published extensively including 3 authored books, 6 edited volumes and over 300 refereed technical papers in the areas of visual signal processing, image/video coding and multimedia communications, which are his main research interests. He also holds 11 patents on image coding/transmission techniques. (Full CV)


      Prof. David Zhang

    IEEE & IAPR Fellow

    Hong Kong Polytechnic University, Hong Kong

    David Zhang graduated in Computer Science from Peking University. He received his MSc in 1982 and his PhD in 1985 in both Computer Science from the Harbin Institute of Technology (HIT), respectively. From 1986 to 1988 he was a Postdoctoral Fellow at Tsinghua University and then an Associate Professor at the Academia Sinica, Beijing. In 1994 he received his second PhD in Electrical and Computer Engineering from the University of Waterloo, Ontario, Canada. Currently, he is a Chair Professor at the Hong Kong Polytechnic University where he is the Founding Director of Biometrics Research Centre (UGC/CRC) supported by the Hong Kong SAR Government in 1998. He also serves as Visiting Chair Professor in Tsinghua University and HIT, and Adjunct Professor in Shanghai Jiao Tong University, Peking University, National University of Defense Technology and the University of Waterloo. He is the Founder and Editor-in-Chief, International Journal of Image and Graphics (IJIG); Book Editor, Springer International Series on Biometrics (KISB); Organizer, the first International Conference on Biometrics Authentication (ICBA); Associate Editor of more than ten international journals including IEEE Transactions; Technical Committee Chair of IEEE SMC and the author of more than 15 books and over 400 international journal papers. He has been listed as a Highly Cited Researchers in Engineering by Thomos Reters in 2014, 2015 and 2016, respectively. Professor Zhang is a Croucher Senior Research Fellow, Distinguished Speaker of the IEEE Computer Society, and a Fellow of both IEEE and IAPR.


      Prof. Hong Yan

    IEEE & IAPR Fellow

    City University of Hong Kong, Hong Kong

    Hong Yan received his Ph.D. degree from Yale University. He was professor of imaging science at the University of Sydney and currently is chair professor of computer engineering at City University of Hong Kong. He was elected an IAPR fellow for contributions to document image analysis and an IEEE fellow for contributions to image recognition techniques and applications. Professor Yan was a Distinguished Lecturer of IEEE SMC Society during 2000 to 2015. He received the 2016 Norbert Wiener Award from IEEE SMC Society for contributions to image and biomolecular pattern recognition techniques.
    Professor Yan's research interests include:
    Bioinformatics: Genomic data analysis; Structural biology
    Image processing: Biomedical imaging; Document imaging
    Pattern recognition: Clustering and biclustering; Human face recognition and animation


      Prof. Yulin Wang

    Wuhan University, China

    Speech Title: Image Authentication and Tamper Localization based on Semi-Fragile Hash Value

    Prof. Yulin Wang is a full professor and PhD supervisor in International School of Software, Wuhan University, China. He got PhD degree in 2005 in Queen Mary, University of London, UK. Before that, he has worked in high-tech industry for more than ten years. He has involved many key projects, and hold 8 patents. He got his master and bachelor degree in 1990 and 1987 respectively from Xi-Dian University, and Huazhong University of Science and Technology(HUST), both in China. His research interests include digital rights management, digital watermarking, multimedia and network security, and signal processing. In recently 10 years, Prof. Wang has published as first author 3 books, 40 conference papers and 45 journal papers, including in IEEE Transactions and IEE proceedings and Elsevier Journals. Prof. Wang served as editor-in-chief for International Journal of Advances in Multimedia in 2010. He served as reviewer for many journals, including IEEE Transactions on Image Processing, IEEE Signal Processing Letters, Elsevier Journal of Information Sciences. He served as reviewer for many research funds, including National High Technology Research and Development Program of China ( ‘863’ project). Prof. Wang was the external PhD adviser of Dublin City University, Ireland during 2008-2010. He was the keynote speakers in many international conferences. He bas been listed in Marcus ‘who’s who in the world’ since 2008.

    Abstract: Image authentication can be used in many fields, including e-government, e-commerce, national security, news pictures, court evidence, medical image, engineering design, and so on. Since some content-preserving manipulations, such as JPEG compression, contrast enhancement, and brightness adjustment, are often acceptable—or even desired—in practical application, an authentication method needs to be able to distinguish them from malicious tampering, such as removal, addition, and modification of objects. Therefore, the traditional hash-based authentication is not suitable for the application. As for the semi-fragile watermarking technique, it meets the requirements of the above application at the expense of severely damaging image fidelity. In this talk, we propose a hybrid authentication technique based on what we call fragile hash value. The technique can blindly detect and localize malicious tampering, while maintaining reasonable tolerance to conventional content-preserving manipulations. The hash value is derived from the relative difference between each pair of the selected DCT AC coefficient in a central block and its counterpart which is estimated by the DC values of the center block and its adjacent blocks. In order to maintain the relative difference relationship when the image undergoes legitimate processing, we make a pre-compensation for the AC coefficients. Experimental results show that our technique is superior to semi-fragile techniques, especially in image fidelity, tolerance range of legitimate processing, and/or the ability to detect and localize the tampered area. Due to its low computational cost, our algorithm can be used in real-time image or video frame authentication. In addition, this kind of proposed techniques can be extended to use other characteristic data, such as high-level moment, statistical data of image, and so on.


      Assoc. Prof. Ray C.C. Cheung

    City University of Hong Kong, Hong Kong

    Dr. Ray Chak-Chung Cheung received the B.Eng.(Hons) and M.Phil. degrees in computer engineering and computer science & engineering from The Chinese University of Hong Kong (CUHK) in 1999 and 2001 respectively, and the DIC and Ph.D. degree in computing from Imperial College London (IC) in 2007.
    He joined the Department of Computer Science & Engineering at the Chinese University of Hong Kong (CUHK) in 2002 as an Instructor. Before that, he worked as a system administrator in a parallel cluster computing company, Cluster Technology Limited for one year. Two years later in 2004, he received theHong Kong Croucher Foundation Scholarship and moved to London where he spent three years for his Ph.D. study. He was with Stanford University and UCLA in the summer of 2005 and 2006 as a visiting scholar. After completing his Ph.D. study, he received the Hong Kong Croucher Foundation Fellowship and moved to Los Angeles, in the Electrical Engineering department at UCLA, where he spent two years with Image Communication Lab for continuing his research work. In 2008, he took a 6-month internship at a top IC design company in Hong Kong, Solomon-Systech Limited as a senior digital IC designer. In 2009, he visited the PALMS group in the Department of Electrical Engineering at Princeton University as a visiting research fellow before returning to Hong Kong. He is currently an Associate Professor in the Department of Electronic Engineering at City University of Hong Kong, and with Digital Systems Lab. His current research interests include cryptographic hardware designs and design exploration of System-on-Chip (SoC) designs and embedded system designs. He is the chairman of the IEEE Hong Kong Section CAS/COM Chapter, and executive committee member of the IEEE Hong Kong Section Computer Chapter. He is the author of over 100 journal papers and conference papers.



      Prof. Lih-Shyang Chen

    National Cheng Kung University, Taiwan

    Speech Title: Display and Manipulation of 2D and 3D Medical Images for Anatomy Education

    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.

    Abstract: Human anatomy is the basic scientific study for medical students to learn the shape, position, size, and various relationships of the organ structures in the human body. The Visible Human Project (VHP)– a high resolution digital collection of medical image data of a single human specimen is a large digital archive of medical image data of the US National Library of Medicine. In this presentation, we make use of the images produced by the VHP to develop a 2D and 3D anatomy learning system for the students in medical schools to learn human anatomy more effectively and efficiently. To this end, we developed an interactive segmentation system that allows the users to segment objects of interest from the original images and build the 3D organ models. Once the 3D organ models are constructed, the users can interactively display 3D anatomy objects and related 2D images to visualize the details of 3D anatomy objects and their spatial relations in a virtual reality environment. We also describe some functions that can facilitate the medical education through some e-learning tools.


      Assoc. Prof. Kin Hong Wong

    The Chinese University of Hong Kong, Hong Kong

    Professor Wong Kin Hong is an Associate Professor of the Department of Computer Science and Engineering of the Chinese University of Hong Kong. He received a PhD from the Department of Engineering of the University of Cambridge. His major research interest is in 3-D computer vision especially in pose estimation, structure from motion and tracking. He has investigated and developed many useful techniques in computer vision such as the four-point pose estimation algorithm and Kalman-trifocal pose estimation methods which are useful in many application areas such as automatic driving and virtual reality. He is also interested in pattern recognition, embedded applications, and computer music.