Rochester Joint Chapter of the IEEE Computer and Computational Intelligence Societies
Rochester, New York
Date: Wednesday, April 17, 2013
Time: 4:30 p.m. to 5:30 p.m.
Location: RIT Inn and Conference Center, 5257 W. Henrietta Road, West Henrietta, NY 14586
Computer Society announcements and venue information:
Cost: Free. Open to IEEE members and non-members.
Note: This event is part of the Joint Chapters Meeting (JCM), which does have a fee associated with the optional dinner (reservations required) and keynote address.
JCM Flyer with complete technical speaker list (pdf, 138 KB)
Highly affordable and high-density image sensors in ubiquitous
and persistent imaging applications have intensified the need
for innovative processing of very large images, and image archives,
under different size/weight/power and throughput specifications.
The motion analysis models and the required distributed high
performance computations pose a need for representation of large
data that captures both locality in data and recursive decomposition
of the data domain to suit divide and conquer paradigms. Peano
curves -- a family of space filling curves that can be embedded
in two and higher-dimensional bounded spaces -- offer a set of
attractive features. Image data compression and content based
image retrieval among others have been tried successfully using
a variety of tree-representations built on top of peano scanned
images. The presentation will highlight the features, and the
insights based on case studies.
Guna Seetharaman is currently a Principal Engineer of Computing Architectures, at the Information Directorate, Air Force Research Laboratory. He is the Chair of IEEE Mohawk Valley Section. He held tenured academic positions at the Air Force Institute of Technology, and University of Louisiana at Lafayette, before joining the Lab. He was also a CNRS Visiting Professor at the University of Paris-XI. He earned his PhD in electrical and computer engineering in 1988, from University of Miami, FL. He is a founding member of Team CajunBot -- and fielded two fully autonomous cars in the DARPA Grand Challenge. He has published more than 150 peer reviewed technical articles. His current research is focused on high performance computing, computer vision, and information exploitation.
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