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Proceedings Paper

How carefully designed open resource sharing can help and expand document analysis research
Author(s): Bart Lamiroy; Daniel Lopresti; Henry Korth; Jeff Heflin
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Paper Abstract

Making datasets available for peer reviewing of published document analysis methods or distributing large commonly used document corpora for benchmarking are extremely useful and sound practices and initiatives. This paper shows that they cover only a very tiny segment of the uses shared and commonly available research data may have. We develop a completely new paradigm for sharing and accessing common data sets, benchmarks and other tools that is based on a very open and free community based contribution model. The model is operational and has been implemented so that it can be tested on a broad scale. The new interactions that will arise from its use may spark innovative ways of conducting document analysis research on the one hand, but create very challenging interactions with other research domains as well.

Paper Details

Date Published: 24 January 2011
PDF: 14 pages
Proc. SPIE 7874, Document Recognition and Retrieval XVIII, 78740O (24 January 2011); doi: 10.1117/12.876483
Show Author Affiliations
Bart Lamiroy, Nancy Univ. LORIA (France)
Daniel Lopresti, Lehigh Univ. (United States)
Henry Korth, Lehigh Univ. (United States)
Jeff Heflin, Lehigh Univ. (United States)

Published in SPIE Proceedings Vol. 7874:
Document Recognition and Retrieval XVIII
Gady Agam; Christian Viard-Gaudin, Editor(s)

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