Serveur d'exploration sur l'OCR

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Comparison of Feature Sets Using Multimedia Translation

Identifieur interne : 001734 ( Main/Exploration ); précédent : 001733; suivant : 001735

Comparison of Feature Sets Using Multimedia Translation

Auteurs : P Nar Duygulu [États-Unis] ; Can Özcanl [Turquie] ; Norman Papernick [États-Unis]

Source :

RBID : ISTEX:1016D06A07B18A6F5B9BEBB8FD44ED2254109E69

Abstract

Abstract: Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared using the translation model of object recognition which is motivated by the availablity of large annotated data sets. Image regions are linked to words using a model which is inspired by machine translation. Word prediction performance is used to evaluate large numbers of images.

Url:
DOI: 10.1007/978-3-540-39737-3_64


Affiliations:


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


Le document en format XML

<record>
<TEI wicri:istexFullTextTei="biblStruct">
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Comparison of Feature Sets Using Multimedia Translation</title>
<author>
<name sortKey="Duygulu, P Nar" sort="Duygulu, P Nar" uniqKey="Duygulu P" first="P Nar" last="Duygulu">P Nar Duygulu</name>
</author>
<author>
<name sortKey="Ozcanl, Can" sort="Ozcanl, Can" uniqKey="Ozcanl C" first="Can" last="Özcanl">Can Özcanl</name>
</author>
<author>
<name sortKey="Papernick, Norman" sort="Papernick, Norman" uniqKey="Papernick N" first="Norman" last="Papernick">Norman Papernick</name>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:1016D06A07B18A6F5B9BEBB8FD44ED2254109E69</idno>
<date when="2003" year="2003">2003</date>
<idno type="doi">10.1007/978-3-540-39737-3_64</idno>
<idno type="url">https://api.istex.fr/document/1016D06A07B18A6F5B9BEBB8FD44ED2254109E69/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">002582</idno>
<idno type="wicri:Area/Istex/Curation">002414</idno>
<idno type="wicri:Area/Istex/Checkpoint">000F07</idno>
<idno type="wicri:doubleKey">0302-9743:2003:Duygulu P:comparison:of:feature</idno>
<idno type="wicri:Area/Main/Merge">001811</idno>
<idno type="wicri:Area/Main/Curation">001734</idno>
<idno type="wicri:Area/Main/Exploration">001734</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title level="a" type="main" xml:lang="en">Comparison of Feature Sets Using Multimedia Translation</title>
<author>
<name sortKey="Duygulu, P Nar" sort="Duygulu, P Nar" uniqKey="Duygulu P" first="P Nar" last="Duygulu">P Nar Duygulu</name>
<affiliation wicri:level="4">
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>School of Computer Science, Carnegie Mellon University, Informedia Project, Pittsburgh, PA</wicri:regionArea>
<placeName>
<region type="state">Pennsylvanie</region>
<settlement type="city">Pittsburgh</settlement>
</placeName>
<orgName type="university">Université Carnegie-Mellon</orgName>
</affiliation>
<affiliation wicri:level="1">
<country wicri:rule="url">États-Unis</country>
</affiliation>
</author>
<author>
<name sortKey="Ozcanl, Can" sort="Ozcanl, Can" uniqKey="Ozcanl C" first="Can" last="Özcanl">Can Özcanl</name>
<affiliation wicri:level="1">
<country xml:lang="fr">Turquie</country>
<wicri:regionArea>Dept of Computer Engineering, Middle East Technical University, Ankara</wicri:regionArea>
<wicri:noRegion>Ankara</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1">
<country wicri:rule="url">Turquie</country>
</affiliation>
</author>
<author>
<name sortKey="Papernick, Norman" sort="Papernick, Norman" uniqKey="Papernick N" first="Norman" last="Papernick">Norman Papernick</name>
<affiliation wicri:level="4">
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>School of Computer Science, Carnegie Mellon University, Informedia Project, Pittsburgh, PA</wicri:regionArea>
<placeName>
<region type="state">Pennsylvanie</region>
<settlement type="city">Pittsburgh</settlement>
</placeName>
<orgName type="university">Université Carnegie-Mellon</orgName>
</affiliation>
<affiliation wicri:level="1">
<country wicri:rule="url">États-Unis</country>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series>
<title level="s">Lecture Notes in Computer Science</title>
<imprint>
<date>2003</date>
</imprint>
<idno type="ISSN">0302-9743</idno>
<idno type="eISSN">1611-3349</idno>
<idno type="ISSN">0302-9743</idno>
</series>
<idno type="istex">1016D06A07B18A6F5B9BEBB8FD44ED2254109E69</idno>
<idno type="DOI">10.1007/978-3-540-39737-3_64</idno>
<idno type="ChapterID">64</idno>
<idno type="ChapterID">Chap64</idno>
</biblStruct>
</sourceDesc>
<seriesStmt>
<idno type="ISSN">0302-9743</idno>
</seriesStmt>
</fileDesc>
<profileDesc>
<textClass></textClass>
<langUsage>
<language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Abstract: Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared using the translation model of object recognition which is motivated by the availablity of large annotated data sets. Image regions are linked to words using a model which is inspired by machine translation. Word prediction performance is used to evaluate large numbers of images.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Turquie</li>
<li>États-Unis</li>
</country>
<region>
<li>Pennsylvanie</li>
</region>
<settlement>
<li>Pittsburgh</li>
</settlement>
<orgName>
<li>Université Carnegie-Mellon</li>
</orgName>
</list>
<tree>
<country name="États-Unis">
<region name="Pennsylvanie">
<name sortKey="Duygulu, P Nar" sort="Duygulu, P Nar" uniqKey="Duygulu P" first="P Nar" last="Duygulu">P Nar Duygulu</name>
</region>
<name sortKey="Duygulu, P Nar" sort="Duygulu, P Nar" uniqKey="Duygulu P" first="P Nar" last="Duygulu">P Nar Duygulu</name>
<name sortKey="Papernick, Norman" sort="Papernick, Norman" uniqKey="Papernick N" first="Norman" last="Papernick">Norman Papernick</name>
<name sortKey="Papernick, Norman" sort="Papernick, Norman" uniqKey="Papernick N" first="Norman" last="Papernick">Norman Papernick</name>
</country>
<country name="Turquie">
<noRegion>
<name sortKey="Ozcanl, Can" sort="Ozcanl, Can" uniqKey="Ozcanl C" first="Can" last="Özcanl">Can Özcanl</name>
</noRegion>
<name sortKey="Ozcanl, Can" sort="Ozcanl, Can" uniqKey="Ozcanl C" first="Can" last="Özcanl">Can Özcanl</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001734 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001734 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    OcrV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     ISTEX:1016D06A07B18A6F5B9BEBB8FD44ED2254109E69
   |texte=   Comparison of Feature Sets Using Multimedia Translation
}}

Wicri

This area was generated with Dilib version V0.6.32.
Data generation: Sat Nov 11 16:53:45 2017. Site generation: Mon Mar 11 23:15:16 2024