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A high performance multi-perspective vision studio
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Source International Conference on Supercomputing archive
Proceedings of the 17th annual international conference on Supercomputing table of contents
San Francisco, CA, USA
SESSION: Applications and problem solving environments table of contents
Pages: 348 - 357  
Year of Publication: 2003
ISBN:1-58113-733-8
Authors
Eugene Borovikov  University of Maryland, College Park, MD
Alan Sussman  University of Maryland, College Park, MD
Sponsors
ACM: Association for Computing Machinery
SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 20,   Citation Count: 6
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ABSTRACT

We describe a multi-perspective vision studio as a flexible high performance framework for solving complex image processing and machine vision problems on multi-view image sequences. The studio abstracts multi-view image data from image sequence acquisition facilities, stores and catalogs sequences in a high performance distributed database, allows customization of back-end processing services, and can serve custom client applications, thus helping make multi-view video sequence processing efficient and generic. To illustrate our approach, we describe two multi-perspective studio applications, and discuss performance and scalability results.



Collaborative Colleagues:
Eugene Borovikov: colleagues
Alan Sussman: colleagues