New technologies for big multimedia data treatment

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...

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Autores principales: 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
Formato: Articulo
Lenguaje:Inglés
Publicado: 2013
Materias:
Ciencias Informáticas
metric space
hybrid computation
GPU
index
parallel searching
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/34500
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec13-1.pdf
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SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-34500
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
metric space
hybrid computation
GPU
index
parallel searching
spellingShingle Ciencias Informáticas
metric space
hybrid computation
GPU
index
parallel searching
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
New technologies for big multimedia data treatment
topic_facet Ciencias Informáticas
metric space
hybrid computation
GPU
index
parallel searching
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.
format Articulo
Articulo
author 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_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_sort Barrionuevo, Mercedes
title New technologies for big multimedia data treatment
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
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/34500
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec13-1.pdf
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