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Communication Dans Un Congrès Année : 2011

A framework to improve digital corpus uses: image-mode navigation

Résumé

In this paper, we propose a new system to enhance navigation inside digital corpuses. This system is based on an automatic indexation in image mode and provides the user intuitive navigation in interactive time. Keywords and containers are extracted directly from the document images to create an Image Mode Index, which shows the keywords as cut-out images of their actual appearances. Our approach recreates a summary of the structured documents, following indications given by the creators of the document themselves. Our system is detailed in the general case and sample applications on a 19th century handwritten corpus and a 18th century machine printed text corpus are provided. This approach, developed for documents inaccessible otherwise, can be applied on any corpus where keywords and containers can be identified.
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Dates et versions

hal-01587605 , version 1 (14-09-2017)

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Loris Eynard, Vincent Malleron, Hubert Emptoz. A framework to improve digital corpus uses: image-mode navigation. Document Recognition and Retrieval XVIII , Jan 2011, San Francisco, United States. ⟨10.1117/12.873389⟩. ⟨hal-01587605⟩
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