Fwd: [Please broadcast] [seminar]: ECE: 28th Mar. 2011: "A Signal-Processing Approach to Modeling Vision, and Applications"
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Ashwith Rego
Mar 28, 2011, 2:44:49 AM3/28/11
to BMSCE IEEE
---------- Forwarded message ----------
From: Chandra Murthy <cmu...@ece.iisc.ernet.in>
Date: Thu, Mar 24, 2011 at 9:29 AM
Subject: [Please broadcast] [seminar]: ECE: 28th Mar. 2011: "A Signal-Processing Approach to Modeling Vision, and Applications"
To: Broadcast-IISc <broa...@iisc.ernet.in>, BLR-SECTI...@listserv.ieee.org
Cc: "K. V. S. Hari" <ha...@ece.iisc.ernet.in>
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IEEE SIGNAL PROCESSING SOCIETY, BANGALORE CHAPTER
&
DEPARTMENT OF ECE, INDIAN INSTITUTE OF SCIENCE
*** 2011 IEEE DISTINGUISHED LECTURE ***
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Title: A Signal-Processing Approach to Modeling Vision, and Applications
Speaker: Prof. Sheila Hemami, IEEE Distinguished Lecturer, Cornell University
Date/Day: 28 March 2011, Monday
Time: 4 PM (Tea/coffee: 3.45 PM)
Venue: Golden Jubilee Seminar Hall, Department of ECE, IISc
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' psychophysical results. I will also present several examples of signal processing algorithms which have been designed to fully exploit these results.
Speaker Bio:
Sheila S. Hemami received the B.S. degree (summa cum laude) in electrical engineering from the University of Michigan, Ann Arbor, in 1990 and the M.S. and Ph.D. degrees in electrical engineering from Stanford University, Stanford, CA, in 1992 and 1994 respectively. During her last year at Stanford, she was a member of the technical staff at Hewlett Packard Laboratories in Palo, Alto, California. Upon completing her Ph.D., she joined the faculty of the Electrical Engineering department at Cornell where she currently directs the Visual Communications Lab.
She is currently an IEEE Signal Processing Society Distinguished Lecturer (2010-11) and a Member-at-Large of the IEEE Signal Processing Society Board of Governors (2009-11). 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). Hemami serves on many program committees and organizing committees in the fields of signal and image processing, compression, and perception.
She has held visiting positions at Princeton University, Rice University (Texas Instruments Distinguished Visiting Professor), Ecole Polytechnique Federale de Lausanne (WISH Distinguished Professor), and Universite de Nantes. In 2001 she visited the Faculte de Sciences, Rabat, Morocco as a Fulbright Distinguished Lecturer.
In 1997 she received a National Science Foundation CAREER Award. She held the Kodak Term Professorship of Electrical Engineering at Cornell University from 1996-1999. In 2000 she received the Eta Kappa Nu C. Holmes MacDonald Outstanding Teaching Award (a national award), and she has won numerous teaching awards at Cornell. She was a finalist for the Eta Kappa Nu Outstanding Young Electrical Engineer in 2003. In 2005 she received the Alice H. Cook and Constance E. Cook Award at Cornell University for her leadership of the Women in Science and Engineering committee.
Hemami is a Fellow of the IEEE and a member of Eta Kappa Nu and Tau Beta Pi.
*** ALL ARE WELCOME ***
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From: Chandra Murthy <cmu...@ece.iisc.ernet.in>
Date: Thu, Mar 24, 2011 at 9:29 AM
Subject: [Please broadcast] [seminar]: ECE: 28th Mar. 2011: "A Signal-Processing Approach to Modeling Vision, and Applications"
To: Broadcast-IISc <broa...@iisc.ernet.in>, BLR-SECTI...@listserv.ieee.org
Cc: "K. V. S. Hari" <ha...@ece.iisc.ernet.in>
----------------------------------------------------------------------------------------------
IEEE SIGNAL PROCESSING SOCIETY, BANGALORE CHAPTER
&
DEPARTMENT OF ECE, INDIAN INSTITUTE OF SCIENCE
*** 2011 IEEE DISTINGUISHED LECTURE ***
----------------------------------------------------------------------------------------------
Title: A Signal-Processing Approach to Modeling Vision, and Applications
Speaker: Prof. Sheila Hemami, IEEE Distinguished Lecturer, Cornell University
Date/Day: 28 March 2011, Monday
Time: 4 PM (Tea/coffee: 3.45 PM)
Venue: Golden Jubilee Seminar Hall, Department of ECE, IISc
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' psychophysical results. I will also present several examples of signal processing algorithms which have been designed to fully exploit these results.
Speaker Bio:
Sheila S. Hemami received the B.S. degree (summa cum laude) in electrical engineering from the University of Michigan, Ann Arbor, in 1990 and the M.S. and Ph.D. degrees in electrical engineering from Stanford University, Stanford, CA, in 1992 and 1994 respectively. During her last year at Stanford, she was a member of the technical staff at Hewlett Packard Laboratories in Palo, Alto, California. Upon completing her Ph.D., she joined the faculty of the Electrical Engineering department at Cornell where she currently directs the Visual Communications Lab.
She is currently an IEEE Signal Processing Society Distinguished Lecturer (2010-11) and a Member-at-Large of the IEEE Signal Processing Society Board of Governors (2009-11). 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). Hemami serves on many program committees and organizing committees in the fields of signal and image processing, compression, and perception.
She has held visiting positions at Princeton University, Rice University (Texas Instruments Distinguished Visiting Professor), Ecole Polytechnique Federale de Lausanne (WISH Distinguished Professor), and Universite de Nantes. In 2001 she visited the Faculte de Sciences, Rabat, Morocco as a Fulbright Distinguished Lecturer.
In 1997 she received a National Science Foundation CAREER Award. She held the Kodak Term Professorship of Electrical Engineering at Cornell University from 1996-1999. In 2000 she received the Eta Kappa Nu C. Holmes MacDonald Outstanding Teaching Award (a national award), and she has won numerous teaching awards at Cornell. She was a finalist for the Eta Kappa Nu Outstanding Young Electrical Engineer in 2003. In 2005 she received the Alice H. Cook and Constance E. Cook Award at Cornell University for her leadership of the Women in Science and Engineering committee.
Hemami is a Fellow of the IEEE and a member of Eta Kappa Nu and Tau Beta Pi.
*** ALL ARE WELCOME ***
------------------------------------------------------------------------
--
This message has been scanned for viruses and
dangerous content by MailScanner, and is
believed to be clean.
------------------------------------------------------------------------------
You are receiving this mail because you are a member of IEEE and belong to Bangalore Section, Region 10. You provided this email id to IEEE along with your membership details. This email id is subscribed to BLR-SECTI...@LISTSERV.IEEE.ORG, an IEEE members-only mailing list.
For information and usage of Listserv commands, send the command "INFO REFCARD" to LIST...@LISTSERV.IEEE.ORG.
To manage your subscription for IEEE Mailing lists, log on to http://LISTSERV.IEEE.ORG.
To contact the list owner, send an email to BLR-SECTION-M...@LISTSERV.IEEE.ORG.
Visit IEEE Bangalore Section at http://www.ieee.org/bangalore
IEEE Electronic Mail Policy: http://eleccomm.ieee.org/email-policy.shtml.
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Ashwith J. Rego
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