Keynote Speaker I

Prof. Chin-Chen Chang, IEEE and IET Fellow, Feng Chia University, Taiwan

Speech Title: Current Research on Information Hiding


Abstract: Steganography is the science of secret message delivery using cover media. A digital image is a flexible medium used to carry a secret message because the slight modification of a cover image is hard to distinguish by human eyes. In this talk, I will introduce some novel steganographic methods based on different magic matrices. Among them, one method that uses a turtle shells magic matrix to guide cover pixels’ modification in order to imply secret data is the newest and the  most interesting one. Experimental results demonstrated that this method, in comparison with previous related works, outperforms in both visual quality of the stego image and embedding capacity. In addition, I will introduce some  future research issues that derived from the steganographic method based on the magic matrix.

Biography: Professor Chang has worked on many different topics in information security, cryptography, multimedia image processing and published several hundreds of papers in international conferences and journals and over 30 books. He was cited over 24300 times and has an h-factor of 74 according to Google Scholar. Several well-known concepts and algorithms were adopted in textbooks. He also worked with the National Science Council, Ministry of Technology, Ministry of Education, Ministry of Transportation, Ministry of Economic Affairs and other Government agencies on more than 100 projects and holds 17 patents, including one in US and two in China.

He served as Honorary Professor, Consulting Professor, Distinguished Professor, Guest Professor at over 50 academic institutions and received Distinguished Alumni Award's from his Alma Master's. He also served as Editor or Chair of several international journals and conferences and had given almost a thousand invited talks at institutions including Chinese Academy of Sciences, Academia Sinica, Tokyo University, Kyoto University, National University of Singapore, Nanyang Technological University, The University of Hong Kong, National Taiwan University and Peking University.

Professor Chang has mentored 56 PhD students and 177 master students, most of whom hold academic positions at major national or international universities. He has been the Editor-in-Chief of Information Education, a magazine that aims at providing educational materials for middle-school teachers in computer science. He is a leader in the field of information security of Taiwan. He founded the Chinese Cryptography and Information Security Association, accelerating information security the application and development and consulting on the government policy. He is also the recipient of several awards, including the Top Citation Award from Pattern Recognition Letters, Outstanding Scholar Award from Journal of Systems and Software, and Ten Outstanding Young Men Award of Taiwan. He was elected as a Fellow of IEEE and lET in 1998 for his contribution in the area of information security.


Keynote Speaker II

Prof.Ce Zhu, IEEE and IET Fellow, University of Electronic Science and Technology of China, China

Speech Title: Depth Image Based View Synthesis: New Insights and Perspectives on Hole Generation and Filling

Abstract: 3D video (3DV) has raised a huge interest from both academia and industry communities. It allows users to watch videos from different views to provide an immersive 3D perception. A naive approach to produce content for 3DV would be to directly create content of multiple views. However, such an approach is impractical because of the large number of views which would have to be captured in the encoder side and transmitted to the end-user. What is more, even with a very large number of views, it is still not capable of covering any arbitrary viewpoint in a region. Hence, virtual view rendering is becoming a key technical procedure in the whole processing chain of a 3D video system. Depth-image-based rendering (DIBR) oriented view synthesis is one of the representative view synthesis methods. However, an inherent problem in the DIBR view synthesis is occurrence of holes in a synthesized image, which is also known as the disocclusion problem. This talk examines the hole generation mechanism in the DIBR view synthesis and provides new perspectives on hole filling. New hole filling methods are developed by using the occluded background information and the multiple reference views. Experimental results demonstrate the proposed hole filling methods achieve superior performance in terms of visual quality of synthesized views.

Biography: Ce Zhu is currently a Professor with the School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China. His research interests include image/video coding, streaming and processing, 3D video, visual perception and applications. He has served on the editorial boards of a few journals, including as an Associate Editor of IEEE Transactions on Image Processing, IEEE Transactions on Broadcasting, IEEE Transactions on Circuits and Systems for Video Technology, and IEEE Signal Processing Letters. He has served on technical committees, organizing committees and as track/area/session chairs for over 60 international conferences, including serving as a Technical Program Co-Chair of IEEE ICME 2017. He is a Fellow of IEEE and a Fellow of IET.

For more information, please visit his homepage at

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