Seminar Announcement
These events are organized by various sub-sets of the IEEE Toronto Section.
The contact person listed below is the volunteer who has arranged this event.
Please use the e-mail link provided if you have any questions, suggestions,
or concerns.
| Title
|
A Signal-Processing Approach to Modeling Vision, and Applications
An IEEE Signal Processing Society Distinguished Lecture |
| Speaker
|
Sheila S. Hemami
School of Electrical & Computer Engineering
Cornell University
332 Rhodes Hall
Ithaca, NY 14853
|
| Day and Time
|
Friday, November 18, 2011, 2:00 p.m. – 3:00 p.m. |
| Location
|
Kerr Hall South, Room KHS 338
245 Church Street
Ryerson University
Toronto, Ontario
M5B 2K3
map - look for KHS
|
| Organizer |
IEEE Signal Processing Toronto Chapter |
| Contact |
Sridhar Krishnan, E-mail:
|
| Abstract
|
Current state-of-the-art algorithms that process visual information for end use by humans treat images and video as traditional signals and employ sophisticated signal processing strategies to achieve their excellent performance. These algorithms also incorporate characteristics of the human visual system (HVS), but typically in a relatively simplistic manner, and achievable performance is reaching an asymptote. However, large gains are still realizable with current techniques by aggressively incorporating HVS characteristics to a much greater extent than is presently done, combined with a good dose of clever signal processing. Achieving these gains requires HVS characterizations which better model natural image perception ranging from sub-threshold perception (where distortions are not visible) to suprathreshold perception (where distortions are clearly visible). In this talk, I will review results from our lab characterizing the responses of the HVS to natural images, and contrast these results with 'classical' sychophysical results. I will also present several examples of signal processing algorithms which have been designed to fully exploit these results.
|
| Biography
|
Sheila S. Hemami (F) received the B.S.E.E. degree from the University of Michigan in 1990, and the M.S.E.E. and Ph.D. degrees from Stanford University in 1992 and 1994, respectively. Her Ph.D. thesis was entitled "Reconstruction of Compressed Images and Video for Lossy Packet Networks" and she was one of the first researchers to work on what we now call "error concealment." She was with Hewlett-Packard Laboratories in Palo Alto, California in 1994 and worked on video-on-demand. She joined the School of Electrical Engineering at Cornell University in 1995, where she holds the title of Professor and directs the Visual Communications Laboratory.
Dr. Hemami's research interests broadly concern communication of visual information, both from a signal processing perspective (signal representation, source coding, and related issues) and from a psychophysical perspective.
Dr. Hemami is an IEEE Fellow and has held various visiting positions, most recently at the University of Nantes, France and at Ecole Polytechnique Federale de Lausanne, Switzerland. She has received numerous college and national teaching awards, including Eta Kappa Nu's C. Holmes MacDonald Award. She is currently a Member-at-Large of the IEEE Signal Processing Society Board of Governors (2009-11) and an SPS Distinguished Lecturer (2010-11). She has chaired the IEEE Image and Multidimensional Signal Processing Technical Committee (2006-07), served as Associate Editor of the IEEE Transactions on Signal Processing (2000-06), and served as Editor-in-Chief of the IEEE Transactions on Multimedia (2008-10).
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