
Proceedings Paper
A framework to improve digital corpus uses: image-mode navigationFormat | Member Price | Non-Member Price |
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Paper Abstract
In this paper, we propose a new system to enhance navigation inside digital corpora. 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 unreachable otherwise, can be applied on any
corpus where keywords and containers can be identified.
Paper Details
Date Published: 24 January 2011
PDF: 8 pages
Proc. SPIE 7874, Document Recognition and Retrieval XVIII, 78740X (24 January 2011); doi: 10.1117/12.873389
Published in SPIE Proceedings Vol. 7874:
Document Recognition and Retrieval XVIII
Gady Agam; Christian Viard-Gaudin, Editor(s)
PDF: 8 pages
Proc. SPIE 7874, Document Recognition and Retrieval XVIII, 78740X (24 January 2011); doi: 10.1117/12.873389
Show Author Affiliations
Loris Eynard, CNRS, INSA-Lyon, LIRIS, Univ. Lyon (France)
Vincent Malleron, CNRS, INSA-Lyon, LIRIS, Univ. Lyon (France)
CNRS, LIRE, Univ. Lyon 2 (France)
Vincent Malleron, CNRS, INSA-Lyon, LIRIS, Univ. Lyon (France)
CNRS, LIRE, Univ. Lyon 2 (France)
Hubert Emptoz, CNRS, INSA-Lyon, LIRIS, Univ. Lyon (France)
Published in SPIE Proceedings Vol. 7874:
Document Recognition and Retrieval XVIII
Gady Agam; Christian Viard-Gaudin, Editor(s)
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