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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.

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)

© 2004 P.C. Rossin College of Engineering & Applied Science
Computer Science & Engineering, Packard Laboratory, Lehigh University, Bethlehem PA 18015