DATE:  Monday, June 3, 2013.
TIME:  6:00 pm – 7:30 pm.  Refreshments and Networking: 6:00 pm – 6:30 pm, Distinguished Lecture: 6:30 pm – 7:30 pm
PLACE:   Algonquin College, T-Building, Room T129, 1385 Woodroffe Ave., Ottawa.

Organized by: IEEE ComSOc/BTS/CES Joint Chapter

Biography: Lap-Pui Chau received the B. Eng degree with first class honours in Electronic Engineering from Oxford Brookes University, England, and the Ph.D. degree in Electronic Engineering from Hong Kong Polytechnic University, Hong Kong, in 1992 and 1997, respectively.
In June 1996, he joined Tritech Microelectronics as a senior engineer.  Since March 1997, he joined Centre for Signal Processing, a national research centre in Nanyang Technological University as a research fellow, subsequently he joined School of Electrical & Electronic Engineering, Nanyang Technological University as an assistant professor and currently, he is an associate professor. His research interests include fast signal processing algorithms, robust video transmission, image representation for 3D content delivery, and image based human skeleton extraction. He involved in organization committee of international conferences including the IEEE International Conference on Image Processing (ICIP 2010, ICIP 2004), and IEEE International Conference on Multimedia & Expo (ICME 2010). He is a Technical Program Co-Chairs for Visual Communications and Image Processing (VCIP 2013) and 2010 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2010).  He was the chair of Technical Committee on Circuits & Systems for Communications (TC-CASC) of IEEE Circuits and Systems Society from 2010 to 2012, and the chairman of IEEE Singapore Circuits and Systems Chapter from 2009 to 2010. He served as a member of Singapore Digital Television Technical Committee from 1998 to 1999. He served as an associate editor for IEEE Transactions on Multimedia, IEEE Signal Processing Letters, and is currently serving as an associate editor for IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Broadcasting and IEEE Circuits and Systems Society Newsletter. Besides, he is IEEE Distinguished Lecturer for 2009-2013, and a steering committee member of IEEE Transactions for Mobile Computing from 2011-2013.
“Source and Channel Rate Allocation Techniques for Digital Video Transmission Application”
Abstract: Recent advances in technology have result in a significant growth in wireless communications. As wireless access becomes more commonplace, the need for reliable transmission of video data over wireless channel is becoming an increasingly important application requirement. The lecture will first give a general introduction on the issues of error control for wireless video transmission system. Then, an overview on the concepts and strategies of source and channel rate allocation scheme that can be adopted to make the video transmission over error-prone channel robust will be addressed. Relevant state-of-the-art techniques such as GOP-based unequal error protection, two dimensional Temporal-SNR unequal error protection, and adaptive resynchronization will be discussed.
“Multi-Program Video Coding for Digital Video Broadcasting application”
Abstract: In digital video broadcasting systems, multiple video programs are compressed in parallel to form the elementary streams. The elementary streams are then multiplexed onto a single constant bit rate channel for transmission. At the receiver, the decoder first extracts the elementary streams, passes the corresponding streams which belongs to one program to the elementary stream decoder and then discards all other streams. The simplest approach to this multi-program encoding is to divide the available bandwidth equally among all programs. This method has the disadvantage that lead to uneven visual distortions between different video programs due to variation of scene complexity. To achieve even video quality for all programs, the channel bandwidth should be dynamically allocated to different programs in proportion to the complexity of each of the video sources. The lecture will first give a general introduction on multi-program encoding. Then, the joint rate control algorithm to manage the operation of all the encoders to maintain a uniform picture quality among all video programs is discussed.