Daniel P. Lopresti
“Mobile Interactive Support System for
Time-Critical Document Exploitation” (with G. Nagy), Proceedings of the Symposium on Document
Image Understanding
Technology, November 2005, College Park, MD, pp. 111-119.
Abstract
Assisted Visual Interactive Recognition, or CAVIAR, has proven to be an
effective methodology for integrating human and machine expertise in
addressing challenging pattern recognition tasks. In this paper, we
examine the application of the CAVIAR paradigm to problems arising in
real-time document analysis in the field. We identify hurdles we expect
to encounter, propose potential solutions, and describe an evaluation
framework to help determine whether this is a fruitful line of research.
Paper ( PDF 108 kbytes)
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