ICDSC 2012: 6th ACM/IEEE International Conference on

Distributed Smart Cameras

Oct 30 - Nov 2, 2012, Hong Kong

Plenary Speakers

 

The following are the three keynote speakers for the conference:

 

Prof Klara Nahrstedt

View-Based TeleCast for Distributed Multi-Camera Systems

Abstract: The decreasing cost of multi-camera systems enables their efficient deployment in sports, health-care and entertainment, as well as the generation of real-time, multi-stream, multi-view, collaborative, interactive and shared content. The multi-view content will be of interest to many viewers that will demand to (a) watch an activity from different viewpoints, and (b) select/change views of an activity at run time.

To achieve these demands, we present challenges and potential solutions for view-based 4D TeleCast that enables multi-view video distribution for distributed multi-camera systems. We will discuss and address challenges such as the support of concurrent viewers with multi-view content delivery, preserving the multi-stream and multi-view dependencies at the viewer sides, and allowing dynamic viewer behavior arrivals or departures. Challenges and solutions to the multi-view overlay construction problem, as well as to the effective resource utilization problems to preserve multi-view dependencies will be presented. Our simulation and testbed results very strongly support proposed solutions to the outlined problems and yield a roadmap how we move towards efficient multi-view video content dissemination and delivery.

Prof. Klara Nahrste dtBrief Biography: Klara Nahrstedt is a full professor at the University  of Illinois at Urbana-Champaign,  Computer Science Department. Her research interests are directed   toward multimedia systems, quality of service (QoS) management in mobile wireless networks, QoS-aware resource management, 3D tele-immersive systems and networks, and real-time security in mission-critical systems. She is the co-author of `Multimedia: Computing, Communications and Applications' published by Prentice Hall 1995,  ‘Multimedia Systems’ published by Springer Verlag 2004, and the author of ‘QoS in Wireless Networks over Unlicensed Spectrum’, published Morgan & Claypool Publisher 2012.  She is the recipient of the IEEE Communication Society Leonard Abraham Award for Research Achievements, Ralph and Catherine Fisher Professor chair, University Scholar, Humboldt Awardee, IEEE Technical Achievement Award, and the Chair of SIG Multimedia. She was the general chair of ACM Multimedia 2006, general chair of ACM NOSSDAV 2007 and the general chair of IEEE Percom 2009.

Klara Nahrstedt received her Diploma in Mathematics from Humboldt University, Berlin, Germany in numerical analysis in 1985. In 1995 she received her PhD from the University of Pennsylvania in the Department of Computer and Information Science. She is the member of ACM and IEEE Fellow.

 

 

Prof Ronald Chung

The latest development of Structured light based Sensing

Abstract: Structured light based sensing (SLS) has been an important 3D metrology means, and received extensive attention in the last decade especially in the past 5 years. The related techniques have been widely used in industrial inspection and design, reverse engineering, surgery, human-computer-interaction, biometrics, advertisement, and entertainment etc. In this sharing, we will first have a brief review of the history of the structured light based technology. Subsequently, some representative structured light algorithms will be introduced and analyzed with a comprehensive classification. We will then highlight a few recent research efforts and commercialized systems that emerged in the last three years. At the end, the existing problems and potential research directions and trends in the domain will be discussed.

Prof Ronald ChungBrief Biography: Ronald Chung is with the Chinese University of Hong Kong (CUHK) as the Chairman and Professor of the Department of Mechanical and Automation Engineering and Director of the Computer Vision Laboratory (CVL). He received BSEE from the University of Hong Kong and PhD from University of Southern California (USC). His research interest is primarily computer vision, which is about how three-dimensional information including shape and motion of objects could be inferred from images through vision cues like stereo, visual motion, boundary, shading, and others. He also studies the application of computer vision to robotics, object recognition, security, wide-field-of-view imaging, graphics, and intelligent transportation systems. He has served the academic community in various capacities including the 2001-2003 chairman of the IEEE Joint Chapter on Robotics and Automation Society and Control Systems Society of Hong Kong. He has also been Guest Professor of Nanjing University of Astronautics and Aeronautics (Nanjing, CHINA) and of Shanghai Jiaotong University (Shanghai, CHINA) since 2002 and 2006 respectively. He was the recipient of the 2005 Exemplary Teaching Award of the Engineering Faculty of CUHK. He and his graduate student Ming Zhao received the "2008 Piero Zamperoni Paper Award" presented biennially by IAPR (International Association of Pattern Recognition).

 

 

Prof Yi Ma

The Pursuit of Low-dimensional Structures in High-dimensional Data

Abstract: In this talk, we will discuss a new class of models and techniques that can effectively model and extract rich low-dimensional structures in high-dimensional data such as images and videos, despite nonlinear transformation, gross corruption, or severely compressed measurements. This work leverages recent advancements in convex optimization for recovering low-rank or sparse signals that provide both strong theoretical guarantees and efficient and scalable algorithms for solving such high-dimensional combinatorial problems. These results and tools actually generalize to a large family of low-complexity structures whose associated regularizers are decomposable. We illustrate how these new mathematical models and tools could bring disruptive changes to solutions to many challenging tasks in computer vision, image processing, and pattern recognition. We will also illustrate some emerging applications of these tools to other data types such as web documents, image tags, microarray data, audio/music analysis, and graphical models.

This is joint work with John Wright of Columbia, Emmanuel Candes of Stanford, Zhouchen Lin of Peking University, and my students Zhengdong Zhang, Xiao Liang of Tsinghua University, Arvind Ganesh, Zihan Zhou, Kerui Min and Hossein Mobahi of UIUC.

Dr. Yi MaBrief Biography: Yi Ma is a Principal Researcher and the Research Manager of the Visual Computing group at Microsoft Research Asia in Beijing since January 2009. Before that he was a professor at the Electrical & Computer Engineering Department of the University of Illinois at Urbana-Champaign. His main research interest is in computer vision, high-dimensional data analysis, and systems theory. He is the first author of the popular vision textbook “An Invitation to 3-D Vision," published by Springer in 2003. Yi Ma received his Bachelors’ degree in Automation and Applied Mathematics from Tsinghua University (Beijing, China) in 1995, a Master of Science degree in EECS in 1997, a Master of Arts degree in Mathematics in 2000, and a PhD degree in EECS in 2000, all from the University of California at Berkeley. Yi Ma received the David Marr Best Paper Prize at the International Conference on Computer Vision 1999, the Longuet-Higgins Best Paper Prize at the European Conference on Computer Vision 2004, and the Sang Uk Lee Best Student Paper Award with his students at the Asian Conference on Computer Vision in 2009. He also received the CAREER Award from the National Science Foundation in 2004 and the Young Investigator Award from the Office of Naval Research in 2005. He was an associate editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) from 2007 to 2011. He is currently an associate editor of the International Journal of Computer Vision (IJCV), the IMA journal on Information and Inference, SIAM journal on Imaging Sciences, and IEEE transactions on Information Theory. He has served as the chief guest editor for special issues for the Proceedings of IEEE and the IEEE Signal Processing Magazine. He will also serve as Program Chair for ICCV 2013 and General Chair for ICCV 2015. He is a senior member of IEEE and a member of ACM, SIAM, and ASEE.