Serveur d'exploration sur la recherche en informatique en Lorraine

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Document Analysis Algorithm Contributions in End-to-End Applications: Report on the ICDAR 2011 Contest

Identifieur interne : 001B71 ( Hal/Checkpoint ); précédent : 001B70; suivant : 001B72

Document Analysis Algorithm Contributions in End-to-End Applications: Report on the ICDAR 2011 Contest

Auteurs : Bart Lamiroy [France] ; Daniel Lopresti [États-Unis] ; Tao Sun [États-Unis]

Source :

RBID : Hal:inria-00608371

English descriptors

Abstract

This contest aims to provide a metric giving indications on the influence of individual document analysis stages to overall end-to-end applications. Contestants are provided with a full, working pipeline which operates on a page image to extract useful information. The pipeline is built with clearly identified analysis stages (e.g. binarization, skew detection, layout analysis, OCR ...) that have a formalized input and output. Contestants are invited to contribute their own algorithms as an alternative to one or more of the initially provided stages. The evaluation measures the overall impact of the contributed algorithm on the final (end-of-pipeline) output.

Url:
DOI: 10.1109/ICDAR.2011.302

Links toward previous steps (curation, corpus...)


Links to Exploration step

Hal:inria-00608371

Le document en format XML

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<title>11th International Conference on Document Analysis and Recognition - ICDAR 2011</title>
<date type="start">2011-09-18</date>
<date type="end">2011-09-21</date>
<settlement>Beijing</settlement>
<country key="CN">China</country>
</meeting>
<respStmt>
<resp>conferenceOrganizer</resp>
<name>International Association for Pattern Recognition</name>
</respStmt>
<imprint>
<publisher>IEEE Computer Society</publisher>
<date type="datePub">2011-09-18</date>
</imprint>
</monogr>
<idno type="doi">10.1109/ICDAR.2011.302</idno>
</biblStruct>
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<langUsage>
<language ident="en">English</language>
</langUsage>
<textClass>
<keywords scheme="author">
<term xml:lang="en">benchmark</term>
<term xml:lang="en">web services</term>
<term xml:lang="en">document analysis</term>
<term xml:lang="en">performance evaluation</term>
</keywords>
<classCode scheme="halDomain" n="info.info-cv">Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]</classCode>
<classCode scheme="halTypology" n="COMM">Conference papers</classCode>
</textClass>
<abstract xml:lang="en">This contest aims to provide a metric giving indications on the influence of individual document analysis stages to overall end-to-end applications. Contestants are provided with a full, working pipeline which operates on a page image to extract useful information. The pipeline is built with clearly identified analysis stages (e.g. binarization, skew detection, layout analysis, OCR ...) that have a formalized input and output. Contestants are invited to contribute their own algorithms as an alternative to one or more of the initially provided stages. The evaluation measures the overall impact of the contributed algorithm on the final (end-of-pipeline) output.</abstract>
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