How carefully designed open resource sharing can help and expand document analysis research

Bart Lamiroy; Daniel Lopresti; Henry Korth; Jeff Heflin

doi:10.1117/12.876483

24 January 2011 How carefully designed open resource sharing can help and expand document analysis research

Bart Lamiroy, Daniel Lopresti, Henry Korth, Jeff Heflin

Proceedings Volume 7874, Document Recognition and Retrieval XVIII; 78740O (2011) https://doi.org/10.1117/12.876483
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

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.

Citation Download Citation

Bart Lamiroy, Daniel Lopresti, Henry Korth, and Jeff Heflin "How carefully designed open resource sharing can help and expand document analysis research", Proc. SPIE 7874, Document Recognition and Retrieval XVIII, 78740O (24 January 2011); https://doi.org/10.1117/12.876483

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