OcrV1, PascalFrancis, Corpus, bibRecord, 000242

Document Image Retrieval through Word Shape Coding : Real-world image annotation and retrieval

Identifieur interne : 000242 ( PascalFrancis/Corpus ); précédent : 000241; suivant : 000243

Document Image Retrieval through Word Shape Coding : Real-world image annotation and retrieval

Auteurs : SHIJIAN LU ; LINLIN LI ; CHEW LIM TAN

Source :

IEEE transactions on pattern analysis and machine intelligence [ 0162-8828 ] ; 2008.

RBID : Pascal:09-0012148

Descripteurs français

Pascal (Inist)
- Intelligence artificielle, Analyse forme, Recherche documentaire, Recherche image, Recherche information, Reconnaissance image, Image optique, Reconnaissance optique caractère, Reconnaissance caractère, Traitement image, Topologie, Interrogation base donnée, Analyse documentaire, Analyse image, Mesure forme, Annotation, Mot clé, Type document.

English descriptors

KwdEn :
- Annotation, Artificial intelligence, Character recognition, Database query, Document analysis, Document retrieval, Document types, Image analysis, Image processing, Image recognition, Image retrieval, Information retrieval, Keyword, Optical character recognition, Optical image, Pattern analysis, Shape measurement, Topology.

Abstract

This paper presents a document retrieval technique that is capable of searching document images without optical character recognition (OCR). The proposed technique retrieves document images by a new word shape coding scheme, which captures the document content through annotating each word image by a word shape code. In particular, we annotate word images by using a set of topological shape features including character ascenders/descenders, character holes, and character water reservoirs. With the annotated word shape codes, document images can be retrieved by either query keywords or a query document image. Experimental results show that the proposed document image retrieval technique is fast, efficient, and tolerant to various types of document degradation.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A11	`01`	`1`		`@1 SHIJIAN LU`
A11	`02`	`1`		`@1 LINLIN LI`
A11	`03`	`1`		`@1 CHEW LIM TAN`
A14	`01`			`@1 Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), 21 Heng Mui Keng Terrace @2 Singapore, 119613 @3 SGP @Z 1 aut.`
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A64	`01`	`1`		`@0 IEEE transactions on pattern analysis and machine intelligence`
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C01	`01`		`ENG`	@0 This paper presents a document retrieval technique that is capable of searching document images without optical character recognition (OCR). The proposed technique retrieves document images by a new word shape coding scheme, which captures the document content through annotating each word image by a word shape code. In particular, we annotate word images by using a set of topological shape features including character ascenders/descenders, character holes, and character water reservoirs. With the annotated word shape codes, document images can be retrieved by either query keywords or a query document image. Experimental results show that the proposed document image retrieval technique is fast, efficient, and tolerant to various types of document degradation.
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Format Inist (serveur)

NO :	PASCAL 09-0012148 INIST
ET :	Document Image Retrieval through Word Shape Coding : Real-world image annotation and retrieval
AU :	SHIJIAN LU; LINLIN LI; CHEW LIM TAN
AF :	Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), 21 Heng Mui Keng Terrace/Singapore, 119613/Singapour (1 aut.); Department of Computer Science, School of Computing, National University of Singapore, 3 Science Drive 2/Singapore 117543/Singapour (2 aut., 3 aut.)
DT :	Publication en série; Niveau analytique
SO :	IEEE transactions on pattern analysis and machine intelligence; ISSN 0162-8828; Coden ITPIDJ; Etats-Unis; Da. 2008; Vol. 30; No. 11; Pp. 1913-1918; Bibl. 21 ref.
LA :	Anglais
EA :	This paper presents a document retrieval technique that is capable of searching document images without optical character recognition (OCR). The proposed technique retrieves document images by a new word shape coding scheme, which captures the document content through annotating each word image by a word shape code. In particular, we annotate word images by using a set of topological shape features including character ascenders/descenders, character holes, and character water reservoirs. With the annotated word shape codes, document images can be retrieved by either query keywords or a query document image. Experimental results show that the proposed document image retrieval technique is fast, efficient, and tolerant to various types of document degradation.
CC :	001D02C03; 001D02B07D; 001D02B07B
FD :	Intelligence artificielle; Analyse forme; Recherche documentaire; Recherche image; Recherche information; Reconnaissance image; Image optique; Reconnaissance optique caractère; Reconnaissance caractère; Traitement image; Topologie; Interrogation base donnée; Analyse documentaire; Analyse image; Mesure forme; Annotation; Mot clé; Type document
ED :	Artificial intelligence; Pattern analysis; Document retrieval; Image retrieval; Information retrieval; Image recognition; Optical image; Optical character recognition; Character recognition; Image processing; Topology; Database query; Document analysis; Image analysis; Shape measurement; Annotation; Keyword; Document types
SD :	Inteligencia artificial; Análisis forma; Búsqueda documental; Búsqueda información; Reconocimiento imagen; Imagen óptica; Reconocimento óptico de caracteres; Reconocimiento carácter; Procesamiento imagen; Topología; Interrogación base datos; Análisis documental; Análisis imagen; Anotación; Palabra clave
LO :	INIST-222T.354000185648730040
ID :	09-0012148

Links to Exploration step

Pascal:09-0012148

Le document en format XML

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<s5>20</s5>
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<server><NO>PASCAL 09-0012148 INIST</NO>
<ET>Document Image Retrieval through Word Shape Coding : Real-world image annotation and retrieval</ET>
<AU>SHIJIAN LU; LINLIN LI; CHEW LIM TAN</AU>
<AF>Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), 21 Heng Mui Keng Terrace/Singapore, 119613/Singapour (1 aut.); Department of Computer Science, School of Computing, National University of Singapore, 3 Science Drive 2/Singapore 117543/Singapour (2 aut., 3 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>IEEE transactions on pattern analysis and machine intelligence; ISSN 0162-8828; Coden ITPIDJ; Etats-Unis; Da. 2008; Vol. 30; No. 11; Pp. 1913-1918; Bibl. 21 ref.</SO>
<LA>Anglais</LA>
<EA>This paper presents a document retrieval technique that is capable of searching document images without optical character recognition (OCR). The proposed technique retrieves document images by a new word shape coding scheme, which captures the document content through annotating each word image by a word shape code. In particular, we annotate word images by using a set of topological shape features including character ascenders/descenders, character holes, and character water reservoirs. With the annotated word shape codes, document images can be retrieved by either query keywords or a query document image. Experimental results show that the proposed document image retrieval technique is fast, efficient, and tolerant to various types of document degradation.</EA>
<CC>001D02C03; 001D02B07D; 001D02B07B</CC>
<FD>Intelligence artificielle; Analyse forme; Recherche documentaire; Recherche image; Recherche information; Reconnaissance image; Image optique; Reconnaissance optique caractère; Reconnaissance caractère; Traitement image; Topologie; Interrogation base donnée; Analyse documentaire; Analyse image; Mesure forme; Annotation; Mot clé; Type document</FD>
<ED>Artificial intelligence; Pattern analysis; Document retrieval; Image retrieval; Information retrieval; Image recognition; Optical image; Optical character recognition; Character recognition; Image processing; Topology; Database query; Document analysis; Image analysis; Shape measurement; Annotation; Keyword; Document types</ED>
<SD>Inteligencia artificial; Análisis forma; Búsqueda documental; Búsqueda información; Reconocimiento imagen; Imagen óptica; Reconocimento óptico de caracteres; Reconocimiento carácter; Procesamiento imagen; Topología; Interrogación base datos; Análisis documental; Análisis imagen; Anotación; Palabra clave</SD>
<LO>INIST-222T.354000185648730040</LO>
<ID>09-0012148</ID>
</server>
</inist>
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Document Image Retrieval through Word Shape Coding : Real-world image annotation and retrieval

Document Image Retrieval through Word Shape Coding : Real-world image annotation and retrieval

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