New technologies for big multimedia data treatment

Autores
Barrionuevo, Mercedes; Britos, Luis; Bustos, Fabricio H.; Gil Costa, Graciela Verónica; Lopresti, Mariela; Mancini, Virginia; Miranda, Natalia Carolina; Ochoa, César; Piccoli, María Fabiana; Printista, Alicia Marcela; Reyes, Nora Susana
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
With the technology advance and the growth of Internet, the information that can be found in this net, as well as the number of users that access to look for specific data is bigger. Therefore, it is desirable to have a search system that allows to retrieve information at a reasonable time and in an efficient way. In this paper we show two computing paradigms appropriate to apply in the treatment of large amounts of data consisting of objects such as images, text, sound and video, using hybrid computing over MPI+OpenMP and GPGPU. The proposal is developed through experience gained in the construction of various indexes and the subsequent search, through them, of multimedia objects.
Facultad de Informática
Materia
Ciencias Informáticas
metric space
hybrid computation
GPU
index
parallel searching
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/34500
Acceder
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network_name_str SEDICI (UNLP)
spelling New technologies for big multimedia data treatmentBarrionuevo, MercedesBritos, LuisBustos, Fabricio H.Gil Costa, Graciela VerónicaLopresti, MarielaMancini, VirginiaMiranda, Natalia CarolinaOchoa, CésarPiccoli, María FabianaPrintista, Alicia MarcelaReyes, Nora SusanaCiencias Informáticasmetric spacehybrid computationGPUindexparallel searchingWith the technology advance and the growth of Internet, the information that can be found in this net, as well as the number of users that access to look for specific data is bigger. Therefore, it is desirable to have a search system that allows to retrieve information at a reasonable time and in an efficient way. In this paper we show two computing paradigms appropriate to apply in the treatment of large amounts of data consisting of objects such as images, text, sound and video, using hybrid computing over MPI+OpenMP and GPGPU. The proposal is developed through experience gained in the construction of various indexes and the subsequent search, through them, of multimedia objects.Facultad de Informática2013-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf111-117http://sedici.unlp.edu.ar/handle/10915/34500enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec13-1.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:59:01Zoai:sedici.unlp.edu.ar:10915/34500Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:59:01.74SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv New technologies for big multimedia data treatment
title New technologies for big multimedia data treatment
spellingShingle New technologies for big multimedia data treatment
Barrionuevo, Mercedes
Ciencias Informáticas
metric space
hybrid computation
GPU
index
parallel searching
title_short New technologies for big multimedia data treatment
title_full New technologies for big multimedia data treatment
title_fullStr New technologies for big multimedia data treatment
title_full_unstemmed New technologies for big multimedia data treatment
title_sort New technologies for big multimedia data treatment
dc.creator.none.fl_str_mv Barrionuevo, Mercedes
Britos, Luis
Bustos, Fabricio H.
Gil Costa, Graciela Verónica
Lopresti, Mariela
Mancini, Virginia
Miranda, Natalia Carolina
Ochoa, César
Piccoli, María Fabiana
Printista, Alicia Marcela
Reyes, Nora Susana
author Barrionuevo, Mercedes
author_facet Barrionuevo, Mercedes
Britos, Luis
Bustos, Fabricio H.
Gil Costa, Graciela Verónica
Lopresti, Mariela
Mancini, Virginia
Miranda, Natalia Carolina
Ochoa, César
Piccoli, María Fabiana
Printista, Alicia Marcela
Reyes, Nora Susana
author_role author
author2 Britos, Luis
Bustos, Fabricio H.
Gil Costa, Graciela Verónica
Lopresti, Mariela
Mancini, Virginia
Miranda, Natalia Carolina
Ochoa, César
Piccoli, María Fabiana
Printista, Alicia Marcela
Reyes, Nora Susana
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
metric space
hybrid computation
GPU
index
parallel searching
topic Ciencias Informáticas
metric space
hybrid computation
GPU
index
parallel searching
dc.description.none.fl_txt_mv With the technology advance and the growth of Internet, the information that can be found in this net, as well as the number of users that access to look for specific data is bigger. Therefore, it is desirable to have a search system that allows to retrieve information at a reasonable time and in an efficient way. In this paper we show two computing paradigms appropriate to apply in the treatment of large amounts of data consisting of objects such as images, text, sound and video, using hybrid computing over MPI+OpenMP and GPGPU. The proposal is developed through experience gained in the construction of various indexes and the subsequent search, through them, of multimedia objects.
Facultad de Informática
description With the technology advance and the growth of Internet, the information that can be found in this net, as well as the number of users that access to look for specific data is bigger. Therefore, it is desirable to have a search system that allows to retrieve information at a reasonable time and in an efficient way. In this paper we show two computing paradigms appropriate to apply in the treatment of large amounts of data consisting of objects such as images, text, sound and video, using hybrid computing over MPI+OpenMP and GPGPU. The proposal is developed through experience gained in the construction of various indexes and the subsequent search, through them, of multimedia objects.
publishDate 2013
dc.date.none.fl_str_mv 2013-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/34500
url http://sedici.unlp.edu.ar/handle/10915/34500
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec13-1.pdf
info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.format.none.fl_str_mv application/pdf
111-117
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.069144

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