Paper Info
Title
A Framework To Improve Digital Corpus Uses: Image-Mode Navigation
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 and 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 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.
Year
DOI
Venue
2011
10.1117/12.873389
DOCUMENT RECOGNITION AND RETRIEVAL XVIII
Keywords
Field
DocType
Image-mode indexation, Keywords extraction, Image segmentation, Navigation, Digital Corpuses
Computer vision,Image mode,Indexation,Information retrieval,Document image processing,Computer science,Text corpus,Image segmentation,Artificial intelligence
Conference
Volume
ISSN
Citations 
7874
0277-786X
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Loris Eynard110.72
Vincent Malleron251.46
Hubert Emptoz338338.09