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Wednesday, April 6, 2016
A Signal-Processing Approach to Modeling Vision, and Applications
This event is hosted/sponsored by IEEE SPS Chapter.
Dr. Sheila S. Hemami
Professor & Chair, Electrical and Computer Engineering
AMD Commons C-6/7/8, 991 Stewart Dr., Sunnyvale, CA (map or Google Maps)
6:30pm: Networking/Light Dinner
Free. Donation accepted for food.
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' psychophysical results. I will also present several examples of signal processing algorithms which have been designed to fully exploit these results.
Sheila S. Hemami received the B.S.E.E. degree from the University of Michigan, Ann Arbor, MI, USA, in 1990 and the M.S.E.E. and Ph.D. degrees from Stanford University, Stanford, CA, USA, in 1992 and 1994, respectively and all in electrical engineering.
She was with Hewlett-Packard Laboratories, Palo Alto, CA, USA, in 1994 and was with the School of Electrical Engineering, Cornell University, Ithaca, NY, USA, from 1995¿2013, where she led the University's NSF ADVANCE program from 2006-11 and was Associate Director for the School from 2010-13. In 2013, she joined Northeastern University¿s Department of Electrical Engineering in Boston, MA, USA, where she is Professor and Chair. She has held various visiting positions, most recently at the University of Nantes, France and at Ecole Polytechnique Federale de Lausanne, Switzerland. Her research interests broadly concern communication of visual information, both from a signal processing perspective and from a psychophysical perspective.
Dr. Hemami was elected a Fellow of the IEEE in 2009 for contributions to robust and perceptual image and video communications. She has received numerous college and national teaching awards, including the HKN C. Holmes MacDonald Outstanding Teaching Award in 2000 and she was named a Cornell University Stephen H. Weiss Presidential Fellow, 2012, in recognition of inspiring teaching of undergraduate students. She has held various leadership positions in the IEEE Signal Processing Society (SPS), among them Editor-in-Chief for the IEEE Transactions on Multimedia (2008-10). She was an SPS Distinguished Lecturer in 2010-11. She is currently serving as IEEE Vice President for Publications Services and Products.
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