Back to articles
Creating and Preserving Dynamic Media
Volume: 12 | Article ID: art00010
Image
PIVAJ: an article-centered platform for digitized newspapers
Pierrick Tranouez
Stéphane Nicolas
Julien Lerouge
Thierry Paquet
  DOI :  10.2352/issn.2168-3204.2015.12.1.art00010  Published Online :  May 2015
Abstract

PIVAJ is a platform for archived digitized newspaper emphasizing articles: extracting them from digitized documents by automated page layout analysis, OCRing them, indexing their text transcription to allow users to search for content. Crowdsourcing is used to improve the quality of the indexing, by correcting the transcription and by tagging articles with keywords. The platform has been used to give Web access to 550 000 articles generated from a digitized local newspaper. Current developments include further improvements to its OCR as well as graphical interfaces for the management of the platform.

Journal Title : Archiving Conference
Publisher Name : Society for Imaging Science and Technology
Subject Areas :
Views 6
Downloads 1
 DOI 10.2352/issn.2168-3204.2015.12.1.art00010
 articleview.views 6
 articleview.downloads 1
  Cite this article 

Pierrick Tranouez, Stéphane Nicolas, Julien Lerouge, Thierry Paquet, "PIVAJ: an article-centered platform for digitized newspapers"  in Proc. IS&T Archiving 2015,  2015,  pp 40 - 43,  https://doi.org/10.2352/issn.2168-3204.2015.12.1.art00010

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2015
72010361
Archiving Conference
archiving
2161-8798
Society for Imaging Science and Technology
2161-8798(20150519)2015:1L.40;1-
s10.phd
/ist/ac/2015/00002015/00000001/art00010
Creating and Preserving Dynamic Media
PIVAJ: an article-centered platform for digitized newspapers
TranouezPierrick
NicolasStéphane
LerougeJulien
PaquetThierry
19052015
2015
1
40
43
2015
PIVAJ is a platform for archived digitized newspaper emphasizing articles: extracting them from digitized documents by automated page layout analysis, OCRing them, indexing their text transcription to allow users to search for content. Crowdsourcing is used to improve the quality of the indexing, by correcting the transcription and by tagging articles with keywords. The platform has been used to give Web access to 550 000 articles generated from a digitized local newspaper. Current developments include further improvements to its OCR as well as graphical interfaces for the management of the platform.