Unsupervised Method to Generate Page Templates
Identifieur interne :
000133 ( PascalFrancis/Corpus );
précédent :
000132;
suivant :
000134
Unsupervised Method to Generate Page Templates
Auteurs : Herve DejeanSource :
-
Proceedings of SPIE, the International Society for Optical Engineering [ 0277-786X ] ; 2011.
RBID : Pascal:11-0279160
Descripteurs français
English descriptors
Abstract
In this paper, we propose a method for automatically inferring the different page templates used to layout the document content. The first step of the method consists in performing a logical analysis of the document. Depending of the coverage of this step, a given number of document elements will be labeled. Then geometric relations are computed between these labeled elements, and page templates candidates are generated using frequent related elements. A fuzzy matching operation allows for selecting the most frequent and relevant page templates for a given document. Such page templates can be used to correct errors produced during the different previous steps of the document analysis: zoning, OCR, and logical analysis. Evaluation has been performed using the INEX book track collection.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
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A05 | | | | @2 7874 |
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A08 | 01 | 1 | ENG | @1 Unsupervised Method to Generate Page Templates |
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A09 | 01 | 1 | ENG | @1 DOcument recognition and retrieval XVIII : 26-27 January 2011, San Francisco, California, United States |
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A11 | 01 | 1 | | @1 DEJEAN (Herve) |
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A12 | 01 | 1 | | @1 AGAM (Gady) @9 ed. |
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A12 | 02 | 1 | | @1 VIARD-GAUDIN (Christian) @9 ed. |
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A14 | 01 | | | @1 Xerox Research Centre @3 EUR @Z 1 aut. |
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A26 | 01 | | | @0 978-0-8194-8411-6 |
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A44 | | | | @0 0000 @1 © 2011 INIST-CNRS. All rights reserved. |
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A45 | | | | @0 12 ref. |
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C01 | 01 | | ENG | @0 In this paper, we propose a method for automatically inferring the different page templates used to layout the document content. The first step of the method consists in performing a logical analysis of the document. Depending of the coverage of this step, a given number of document elements will be labeled. Then geometric relations are computed between these labeled elements, and page templates candidates are generated using frequent related elements. A fuzzy matching operation allows for selecting the most frequent and relevant page templates for a given document. Such page templates can be used to correct errors produced during the different previous steps of the document analysis: zoning, OCR, and logical analysis. Evaluation has been performed using the INEX book track collection. |
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Format Inist (serveur)
NO : | PASCAL 11-0279160 INIST |
ET : | Unsupervised Method to Generate Page Templates |
AU : | DEJEAN (Herve); AGAM (Gady); VIARD-GAUDIN (Christian) |
AF : | Xerox Research Centre/Europe (1 aut.) |
DT : | Publication en série; Congrès; Niveau analytique |
SO : | Proceedings of SPIE, the International Society for Optical Engineering; ISSN 0277-786X; Coden PSISDG; Etats-Unis; Da. 2011; Vol. 7874; 78740M.1-78740M.10; Bibl. 12 ref. |
LA : | Anglais |
EA : | In this paper, we propose a method for automatically inferring the different page templates used to layout the document content. The first step of the method consists in performing a logical analysis of the document. Depending of the coverage of this step, a given number of document elements will be labeled. Then geometric relations are computed between these labeled elements, and page templates candidates are generated using frequent related elements. A fuzzy matching operation allows for selecting the most frequent and relevant page templates for a given document. Such page templates can be used to correct errors produced during the different previous steps of the document analysis: zoning, OCR, and logical analysis. Evaluation has been performed using the INEX book track collection. |
CC : | 001B00A30C; 001B40B30 |
FD : | Imagerie; Classification non supervisée; Couverture; Correction erreur; Analyse documentaire; Reconnaissance optique caractère; Poursuite cible; 0130C; 4230 |
ED : | Imagery; Unsupervised classification; Coverage; Error correction; Document analysis; Optical character recognition; Target tracking |
SD : | Imaginería; Clasificación no supervisada; Cobertura; Análisis documental |
LO : | INIST-21760.354000174732580200 |
ID : | 11-0279160 |
Links to Exploration step
Pascal:11-0279160
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