Efficient similarity search on multimedia databases

Manipulating and retrieving multimedia data has received increasing attention with the advent of cloud storage facilities. The ability of querying by similarity over large data collections is mandatory to improve storage and user interfaces. But, all of them are expensive operations to solve only in...

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Detalles Bibliográficos
Autores principales: Lopresti, Mariela, Miranda, Natalia Carolina, Piccoli, María Fabiana, Reyes, Nora Susana
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2012
Materias:
Ciencias Informáticas
Multimedia database
Metric Space
Approximate Similarity Query
High Performance Computing
Graphics Processing Unit
Metrics
base de datos
Data mining
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23751
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23751
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
Multimedia database
Metric Space
Approximate Similarity Query
High Performance Computing
Graphics Processing Unit
Metrics
base de datos
Data mining
spellingShingle Ciencias Informáticas
Multimedia database
Metric Space
Approximate Similarity Query
High Performance Computing
Graphics Processing Unit
Metrics
base de datos
Data mining
Lopresti, Mariela
Miranda, Natalia Carolina
Piccoli, María Fabiana
Reyes, Nora Susana
Efficient similarity search on multimedia databases
topic_facet Ciencias Informáticas
Multimedia database
Metric Space
Approximate Similarity Query
High Performance Computing
Graphics Processing Unit
Metrics
base de datos
Data mining
description Manipulating and retrieving multimedia data has received increasing attention with the advent of cloud storage facilities. The ability of querying by similarity over large data collections is mandatory to improve storage and user interfaces. But, all of them are expensive operations to solve only in CPU; thus, it is convenient to take into account High Performance Computing (HPC) techniques in their solutions. The Graphics Processing Unit (GPU) as an alternative HPC device has been increasingly used to speedup certain computing processes. This work introduces a pure GPU architecture to build the Permutation Index and to solve approximate similarity queries on multimedia databases. The empirical results of each implementation have achieved different level of speedup which are related with characteristics of GPU and the particular database used.
format Objeto de conferencia
Objeto de conferencia
author Lopresti, Mariela
Miranda, Natalia Carolina
Piccoli, María Fabiana
Reyes, Nora Susana
author_facet Lopresti, Mariela
Miranda, Natalia Carolina
Piccoli, María Fabiana
Reyes, Nora Susana
author_sort Lopresti, Mariela
title Efficient similarity search on multimedia databases
title_short Efficient similarity search on multimedia databases
title_full Efficient similarity search on multimedia databases
title_fullStr Efficient similarity search on multimedia databases
title_full_unstemmed Efficient similarity search on multimedia databases
title_sort efficient similarity search on multimedia databases
publishDate 2012
url http://sedici.unlp.edu.ar/handle/10915/23751
work_keys_str_mv AT loprestimariela efficientsimilaritysearchonmultimediadatabases
AT mirandanataliacarolina efficientsimilaritysearchonmultimediadatabases
AT piccolimariafabiana efficientsimilaritysearchonmultimediadatabases
AT reyesnorasusana efficientsimilaritysearchonmultimediadatabases
bdutipo_str Repositorios
_version_ 1764820466164301826

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