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DICTA 2017 - Keynote Speakers

Prof Graham Finlayson
University of East Anglia, United Kingdom
Title: TBA

Biography: Graham Finlayson is a Professor of Computer Science at the University of East Anglia. He joined UEA in 1999 when he was awarded a full professorship at the age of 30. He was and remains the youngest ever professorial appointment at that institution. Graham trained in computer science first at the University of Strathclyde and then for his masters and doctoral degrees at Simon Fraser University where he was awarded a ‘Dean’s medal’ for the best PhD dissertation in his faculty. Prior to joining UEA, Graham was a lecturer at the University of York and then a founder and Reader at the Colour and Imaging Institute at the University of Derby. Professor Finlayson is interested in ‘Computing how we see’ and his research spans computer science (algorithms), engineering (embedded systems) and psychophysics (visual perception). He has published over 50 journal, over 200 referred conference papers and 25+ patents. He has won best paper prizes at several conferences including, “The 5th IS&T conference on Colour in Graphics, Imaging and Vision” (2010) and “the IEE conference on Visual Information Engineering” (1995). Many of Graham’s patents are implemented and used in commercial products including photo processing software, dedicated image processing hardware (ASICs) and in embedded camera software. Graham’s research is funded from a number of sources including government, industry and through investment for spin-out companies. Industrial partners include Apple, Hewlett Packard, Sony, Xerox, Unilever and Buhler-Sortex. Significantly, Graham was the first academic at UEA (in its 50 year history) to either raise venture capital investment for a spin-out company – Imsense Ltd developed technology to make pictures look better - or to make a money for the university when this company was subsequently sold to a blue chip industry major in 2010. In 2002, Graham was awarded the Philip Leverhulme prize for science and in 2008 a Royal Society-Wolfson Merit award. In 2009 the Royal Photographic Society presented graham with the Davies medal in recognition of his contributions to the Photographic Industry. The RPS made Graham a fellow in 2012. In recognition of distinguished service to the Society for Imaging Science and Technology, Graham was elected a fellow of that society in 2010. In January 2013 Graham was also elected to a fellowship of the Institute of Engineering Technology.

Prof Jianmin Jiang
Shenzhen University, China

Biography: Jianmin Jiang received PhD from the University of Nottingham, UK, in 1994, after which he joined Loughborough University, UK, as a lecturer of computer science. From 1997 to 2001, he worked as a full professor (Chair) of Computing at the University of Glamorgan, Wales, UK. In 2002, he joined the University of Bradford, UK, as a Chair Professor of Digital Media and Director of Digital Media & Systems Research Institute. He worked at the University of Surrey, UK, as a chair professor in media computing during 2010-2015 and a distinguished professor (1000-plan) at Tianjin University, China, during 2010-2013. He is currently a Distinguished Professor and director of the Research Institute for Future Media Computing at the College of Computer Science & Software Engineering, Shenzhen University, China. He was a chartered engineer, fellow of IET (IEE), fellow of RSA, member of EPSRC College in the UK. He also served the European Commission as proposal evaluator, project auditor, and NoE/IP hearing panel expert under both EU Framework-6 and Framework-7 programmes. He was one of the contributing authors for EU Framework-7 Work-Programme in 2013. He is currently serving the Image and Vision Computing Journal, ELSEVIER, as an associate editor.

Title: See What you think: Exploring a new concept of imaginative media

Abstract: In this talk, a new concept of imaginative media is to be introduced and explored to see if it could be developed into a feasible yet adventurous research project with high impact and significant expectations. Given the fact that whenever we read novels, the scenes, the events, and the characters will start to connect together and be visualized inside our brain via our imaginations. As a result, we are naturally moved or immersed into the stories even without the rehearsal play back of the stories in the form of videos or shows on the stage of a theatre. Along with the extensive research and enormous advancement across the areas of digital media, computer vision, computer graphics, virtual reality, machine learning, and computational neuroscience, new research can be initiated to learn from those collected brain signals and capture activities reflecting the imaginations inside brains. Computerized media production can then be further researched to visualize those imaginative scenes, events and stories to complete the adventurous exploration of the new concept: imaginative media. A systematic view of such exploration is given in the following diagram. Details of its possible research as well as challenges will be discussed, and suggestions and critiques are also welcome.

Dr Zicheng Liu
Principal Researcher, Microsoft Research, USA
Title: TBA

Biography: Zicheng Liu received his Ph.D. in computer science from Princeton University in 1996. He got his B.S. degree in mathematics from HuaZhong Normal University, Wuhan, China, in 1984, and his M.S. in Operations Research from the Institute of Applied Mathematics, Chinese Academy of Sciences, in 1989. Before joining Microsoft Research, he worked at Silicon Graphics, Inc. as a member of technical staff for two years, where he developed the trimmed NURBS tessellator shipped in both OpenGL and the OpenGL Optimizer. Current research interests include human activity recognition, 3D face modeling and animation, and multimedia signal processing. He has worked on a variety of topics including Steiner trees, average case complexity, linked figure animation, and trimmed NURBS tessellation for large CAD model visualization. Liu has served in the technical committee for many international conferences. He was a member of the Audio and Electroacoustics Committee of IEEE Signal Processing Society. He is the chair of the Multimedia Systems and Applications Technical Committee of IEEE CAS society. He is a steering committee member of IEEE Transactions on Multimedia. He is the Editor-in-Chief of Journal of Visual Communications and Image Representation, and an associate editor of Machine Vision and Applications. He served as a guest editor of IEEE Transactions on Multimedia, and a guest editor of IEEE Multimedia Magazine. He is an affiliate professor in the department of Electrical Engineering, University of Washington. He was an IEEE distinguished lecturer from 2015-2016. He is a fellow of IEEE.

Prof Svetha Venkatesh
Australian Laureate Fellow
Alfred Deakin Professor, Deakin University, Australia
Title: TBA

Biography: Professor Venkatesh is Professor of Computer Science and Director of the Centre for Pattern Recognition and Data Analytics ( PRaDA) at Deakin University. She was elected a Fellow of the International Association of Pattern Recognition in 2004 for contributions to formulation and extraction of semantics in multimedia data, and is a Fellow of the Australian Academy of Technological Sciences and Engineering. Prof Venkatesh is also on the editorial board of IEEE Transactions on Multimedia and was on the board of ACM Transactions on Multimedia (2008-2011). She is a program member of several international conferences such as ACM Multimedia. Prof Venkatesh has developed frontier technologies in large scale pattern recognition exemplified through 346 publications including 2 books, 12 book chapters, 78 journal and 254 conference publications. She has won over $12.1 million in competitive research funding since 1992, and with her colleagues has filed 9 patents, of which 3 are full patents. One start-up company, spun out of these patents is Virtual Observer and based on the paradigm shifting methods that leverages mobile cameras to deliver wide area surveillance solutions. The technology won the Runner up in both the WA Inventor of the year (Early stage) and Global Security Challenge (Asia-Pacific) in 2007. A recent spin-out company is iCetana and is based on novel methods to find anomalies in video data. iCetana won the Broadband Innovation Award at the prestigious Tech23 in 2010.