Keynote Speakers

• Prof. H.K Huang, University of Southern California
• Prof. Nadia Magnenat-Thalmann, University of Geneva
• Dr. HongJiang Zhang, Microsoft China
• Prof. Chang Wen Chen, University at Buffalo, the State University of New York

Abstract

With large amount of patient vital signs, medical image data and diagnosis, as well as treatment results accumulated daily from healthcare enterprises, managing and distributing multimedia information becomes challenging. This presentation selects five independent concepts and technologies and their intertwined relationship to exemplify goal-oriented multimedia signal processing and distribution for healthcare delivery applications. They are: medical imaging informatics; Data Grid for image fault tolerant backup and disaster recovery; computer-assisted detection and diagnosis for daily clinical practice; biometrics technology for data access security in an enterprise level integrated system; and in vivo image-guided real-time surgical treatment. The success of implementing these novel technologies and concepts would have tremendous impact to better present and future healthcare delivery.

Biography

Dr. Huang has taught at Georgetown University, University of Iowa, UCLA, UC Berkeley and UC San Francisco, Hong Kong Polytechnic University, and University of Southern California. His current research interests are in medical imaging informatics, and he has received over 21 million US dollars in R&D for his research. He has authored and co-authored 8 books and published 200 papers, and mentored over 20 Ph.D. students and 40 Post Doctoral Fellows.

Dr. Huang was inducted into the Royal College of Radiologists, London as an Honorary Fellow, 1992; the American Institute of Medical and Biological Engineering as a Founding Fellow, 1993; the EuroPACS Society as an Honorary Member, 1996; Honorary President, 2003 International CARS Congress, London; and President, 2007 First Iranian Imaging Informatics Conference. Dr. Huang has been Visiting Professor in many leading universities around the world, and a Board Member in leading medical imaging manufacturers.

Abstract

Multimedia has been widely applied in life science research and clinical applications, including research on Musculoskeletal system. Musculoskeletal disorders are the most notorious and common causes of severe long-term pain and physical disability, affecting hundreds of millions of people across the world. In the European Research Project 3D Anatomical Human (http:// 3dah.miralab.unige.ch/), we are buiding an accurate generic lower limb model that can be simulated in motion, using individual multimodal medical data. For clinical every-day use, medically relevant validation and an efficient visualization and interaction framework are required. We are defining a generic functional model of the lower limb (consisting of bones and soft-tissues) that can be simulated in motion. Relevant patient's anatomical, kinematical and mechanical data extracted from images (MRI, CT), motion capture (dynamic MRI, optical motion capture) and other modalities (EMG, mechanical properties measuring device), as well as statistical data, are being adjust the generic model to the patient. A fully functional model will be presented with many individual cases study and medical validation.

Biography

Prof. Nadia Magnenat-Thalmann has pioneered research into Virtual Humans over the last 25 years. She obtained several Bachelor's and Master's degrees in various disciplines (Psychology, Biology and Chemistry) and a PhD in Quantum Physics from the University of Geneva in 1977. From 1977 to 1988, she was a Professor at the University of Montreal where she founded the research lab MIRALab.She moved MIRALab to the University of Geneva in 1989, composed of about 25 researchers. She has received several scientific and artistic awards for the research and the films she has directed. More recently, she has been elected to the SWISS ACADEMY OF TECHNICAL SCIENCES, selected as a pioneer of Information Technology at the HEINZ NIXDORF MUSEUM'S Electronic Wall of Fame in Germany (www.hnf.de). She is presently taking part in more than a dozen of European and National Swiss research projects and is the coordinator of the Network of Excellence (NoE) INTERMEDIA, and the coordinator of the Marie Curie European Research training network, 3D ANATOMICAL HUMAN. She is editor-in-chief of the VISUAL COMPUTER JOURNAL published by Springer Verlag, and co-editor-in-chief of the COMPUTER ANIMATION AND VIRTUAL WORLDS journal published by Wiley. She has also served a number of senior academic executives’ positions, including Vice-Rector University of Geneva.

Abstract

After 15 years of extensive research efforts, multimedia retrieval has final come to its prime time when everything becomes accessible on the web. However, web search both provides a new paradigm and poses challenge to multimedia retrieval research. It calls for a rethinking of the traditional content-based approaches, especially in how to make use the massive but noisy meta data associated with web pages and links. In this talk, we will first review some familiar approaches in content-based multimedia retrieval and examine their limits. We will then present a few new efforts in web multimedia search to illustrate some new thoughts in this space.

Biography

Dr. HongJiang ZHANG is the CTO of Microsoft China R&D Group, overseeing Microsoft's overall China and regional R&D strategy. He is also the Managing Director of Advanced Technology Center (ATC), a R&D center working on advanced technologies and products in the areas of web service, mobile, communications, gaming, education and healthcare. Dr. Zhang was the Assistant Managing Director of Microsoft Research Asia, in charge of research and technology transfer in areas of Natural Language Computing, Media Computing, Data Mining and Web Search, and Distributed Systems. Prior to joining Microsoft, Dr. Zhang was with Hewlett-Packard Labs at Palo Alto, CA, where he was a research manager, working on multimedia content retrieval and management technologies, and intelligent image and video processing.

Dr. Zhang is a Fellow of IEEE and ACM and well-known for his leadership in media computing and pioneering work in video and image content analysis, representation, search and browsing. He has authored four books, close to 400 scientific papers and holds over 60 US patents. He served as the Editor in Chief of IEEE Transaction on Multimedia and is currently on the editorial board of Proceedings of IEEE.

Abstract

This talk will present some technical challenges in video coding and processing to meet the paradigm shifting trends for future digital entertainment for consumers. Traditional consumer video services have been in the broadcasting mode, from terrestrial TV, to satellite and cable services, in which a single encoder is able to serve millions of decoders. The design principle has been the simple decoder of volume
sets at the expense of very complicated encoder. The proliferation of mobile devices with video capture capabilities in the recent years has resulted in a paradigm shift trends that require simple encoder for the mobile devices. The burden of the performance has now shifted to decoder that resides at consumer's home to manage volumetric video captures with desktop computers. This paradigm shift thus created an opportunity for new generations of video coding and processing algorithms and architectures to meet the challenges in more complicated video decoding. In this talk, we will present several examples of new video coding and processing schemes based on distributed source coding. Some detailed analysis and simulation results will be shown to demonstrate that distributed source coding based approach is indeed promising for video decoding and processing for future digital entertainment.

Biography

Dr. Chang Wen Chen (F’04) has been a Professor of Computer Science and Engineering at the University at Buffalo, State University of New York, since 2008. Previously, he was Allen S. Henry Distinguished Professor in the Department of Electrical and Computer Engineering, Florida Institute of Technology, from 2003 to 2007, was a Professor of Electrical and Computer Engineering at the University of Missouri - Columbia from 1996 to 2003 and at the University of Rochester, Rochester, NY, from 1992 to 1996. From 2000 to 2002, he served as the Head of the Interactive Media Group at the David Sarnoff Research Laboratories, Princeton, NJ. He has also consulted with Kodak Research Labs, Microsoft Research, Mitsubishi Electric Research Labs, NASA Goddard Space Flight Center, and Air Force Rome Laboratories.

Dr. Chen has been the Editor-in-Chief for IEEE Trans. Circuits and Systems for Video Technology (CSVT) since January 2006. He has served as an Editor for Proceedings of IEEE, IEEE Trans. Multimedia, IEEE Journal of Selected Areas in Communications, IEEE Multimedia Magazine, Journal of Wireless Communication and Mobile Computing, EUROSIP Journal of Signal Processing: Image Communications, and Journal of Visual Communication and Image Representation. He has also served in numerous technical program committees for IEEE and other international conferences. He was elected an IEEE Fellow for his contributions in digital image and video processing, analysis, and communications and an SPIE Fellow for his contributions in electronic imaging and visual communications.