Serveur d'exploration sur la recherche en informatique en Lorraine

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Browsing graphics without prior knowledge

Identifieur interne : 005202 ( Main/Merge ); précédent : 005201; suivant : 005203

Browsing graphics without prior knowledge

Auteurs : Daniel Zuwala [France] ; Jan Rendek [France]

Source :

RBID : Hal:inria-00078450

English descriptors

Abstract

In this paper, we present a system to browse a set of graphical documents without prior knowledge of their content. This system relies on a new structural method locating regions potentially embedding a symbol, using an unsupervised reconstruction of the documents from their representation as chain of points. The method is complemented by a querying mechanism that retrieves from these regions those that are the most similar to a given input symbol. This mechanism uses a specific user feedback scheme to improve the accuracy of the retrieval.

Url:

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Hal:inria-00078450

Le document en format XML

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<orgName type="university">Université Nancy 2</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
<placeName>
<settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Institut national polytechnique de Lorraine</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
</affiliation>
</author>
</analytic>
</biblStruct>
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<profileDesc>
<textClass>
<keywords scheme="mix" xml:lang="en">
<term>symbol recognition</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">In this paper, we present a system to browse a set of graphical documents without prior knowledge of their content. This system relies on a new structural method locating regions potentially embedding a symbol, using an unsupervised reconstruction of the documents from their representation as chain of points. The method is complemented by a querying mechanism that retrieves from these regions those that are the most similar to a given input symbol. This mechanism uses a specific user feedback scheme to improve the accuracy of the retrieval.</div>
</front>
</TEI>
</record>

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   |texte=   Browsing graphics without prior knowledge
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