General Database Infrastructure for Image Retrieval

Autores
Alvez, Carlos Eduardo; Vecchietti, Aldo
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this article, a general database infrastructure implemented in an Object-Relational Database Management System for image retrieval is proposed and describe. Semantic and content based image queries can be performed with this application. The infrastructure is structured into three levels: content-based, semantic data and an interface integrating them. It is complemented with a set of database User Defined Types (UDT) composed of attributes and operations. Set operations: union, intersection and difference are implemented for recovering images based on its attributes. In order to prove the capabilities of this approach a case study about vehicles is implemented. The results obtained by performing about 240 queries with a 10000 database image show an important improvement in image similarity search. The architecture can be easily adapted for specific field applications.
Fil: Alvez, Carlos Eduardo. Universidad Nacional de Entre Ríos. Facultad de Ciencias de la Administración; Argentina
Fil: Vecchietti, Aldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Materia
Image Retrieval
ORDBMS
Image Content
Semantic Content
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/70273
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/70273
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling General Database Infrastructure for Image RetrievalAlvez, Carlos EduardoVecchietti, AldoImage RetrievalORDBMSImage ContentSemantic Contenthttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1In this article, a general database infrastructure implemented in an Object-Relational Database Management System for image retrieval is proposed and describe. Semantic and content based image queries can be performed with this application. The infrastructure is structured into three levels: content-based, semantic data and an interface integrating them. It is complemented with a set of database User Defined Types (UDT) composed of attributes and operations. Set operations: union, intersection and difference are implemented for recovering images based on its attributes. In order to prove the capabilities of this approach a case study about vehicles is implemented. The results obtained by performing about 240 queries with a 10000 database image show an important improvement in image similarity search. The architecture can be easily adapted for specific field applications.Fil: Alvez, Carlos Eduardo. Universidad Nacional de Entre Ríos. Facultad de Ciencias de la Administración; ArgentinaFil: Vecchietti, Aldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaIJCSI2010-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/70273Alvez, Carlos Eduardo; Vecchietti, Aldo; General Database Infrastructure for Image Retrieval; IJCSI; International Journal of Computer Science Issues; 7; 6; 11-2010; 44-521694-0814CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.ijcsi.org/index.phpinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:03:13Zoai:ri.conicet.gov.ar:11336/70273instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:03:13.303CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv General Database Infrastructure for Image Retrieval
title General Database Infrastructure for Image Retrieval
spellingShingle General Database Infrastructure for Image Retrieval
Alvez, Carlos Eduardo
Image Retrieval
ORDBMS
Image Content
Semantic Content
title_short General Database Infrastructure for Image Retrieval
title_full General Database Infrastructure for Image Retrieval
title_fullStr General Database Infrastructure for Image Retrieval
title_full_unstemmed General Database Infrastructure for Image Retrieval
title_sort General Database Infrastructure for Image Retrieval
dc.creator.none.fl_str_mv Alvez, Carlos Eduardo
Vecchietti, Aldo
author Alvez, Carlos Eduardo
author_facet Alvez, Carlos Eduardo
Vecchietti, Aldo
author_role author
author2 Vecchietti, Aldo
author2_role author
dc.subject.none.fl_str_mv Image Retrieval
ORDBMS
Image Content
Semantic Content
topic Image Retrieval
ORDBMS
Image Content
Semantic Content
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this article, a general database infrastructure implemented in an Object-Relational Database Management System for image retrieval is proposed and describe. Semantic and content based image queries can be performed with this application. The infrastructure is structured into three levels: content-based, semantic data and an interface integrating them. It is complemented with a set of database User Defined Types (UDT) composed of attributes and operations. Set operations: union, intersection and difference are implemented for recovering images based on its attributes. In order to prove the capabilities of this approach a case study about vehicles is implemented. The results obtained by performing about 240 queries with a 10000 database image show an important improvement in image similarity search. The architecture can be easily adapted for specific field applications.
Fil: Alvez, Carlos Eduardo. Universidad Nacional de Entre Ríos. Facultad de Ciencias de la Administración; Argentina
Fil: Vecchietti, Aldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
description In this article, a general database infrastructure implemented in an Object-Relational Database Management System for image retrieval is proposed and describe. Semantic and content based image queries can be performed with this application. The infrastructure is structured into three levels: content-based, semantic data and an interface integrating them. It is complemented with a set of database User Defined Types (UDT) composed of attributes and operations. Set operations: union, intersection and difference are implemented for recovering images based on its attributes. In order to prove the capabilities of this approach a case study about vehicles is implemented. The results obtained by performing about 240 queries with a 10000 database image show an important improvement in image similarity search. The architecture can be easily adapted for specific field applications.
publishDate 2010
dc.date.none.fl_str_mv 2010-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/70273
Alvez, Carlos Eduardo; Vecchietti, Aldo; General Database Infrastructure for Image Retrieval; IJCSI; International Journal of Computer Science Issues; 7; 6; 11-2010; 44-52
1694-0814
CONICET Digital
CONICET
url http://hdl.handle.net/11336/70273
identifier_str_mv Alvez, Carlos Eduardo; Vecchietti, Aldo; General Database Infrastructure for Image Retrieval; IJCSI; International Journal of Computer Science Issues; 7; 6; 11-2010; 44-52
1694-0814
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.ijcsi.org/index.php
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IJCSI
publisher.none.fl_str_mv IJCSI
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083174635929600
score 13.22299

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