Stream processing to solve image search by similarity

The classic use of Stream Processing platforms enables working with data in real time, which allows you to generate data analysis quickly attending to a decisionmaking process. However, you can use these platforms for other applications such as indexing and subsequent use of similarity search object...

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Detalles Bibliográficos
Autores principales:	Lobos, Jair, Gil Costa, Graciela Verónica, Reyes, Nora Susana, Printista, Alicia Marcela, Marín, Mauricio
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2015
Materias:	Ciencias Informáticas stream processing metrics spaces MPEG-7 sparse spatial selection Metrics
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/50180 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST41-Paper-8.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-50180
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 stream processing metrics spaces MPEG-7 sparse spatial selection Metrics
spellingShingle	Ciencias Informáticas stream processing metrics spaces MPEG-7 sparse spatial selection Metrics Lobos, Jair Gil Costa, Graciela Verónica Reyes, Nora Susana Printista, Alicia Marcela Marín, Mauricio Stream processing to solve image search by similarity
topic_facet	Ciencias Informáticas stream processing metrics spaces MPEG-7 sparse spatial selection Metrics
description	The classic use of Stream Processing platforms enables working with data in real time, which allows you to generate data analysis quickly attending to a decisionmaking process. However, you can use these platforms for other applications such as indexing and subsequent use of similarity search objects in a database. The images can be displayed on a metric space, which has features that allow rules to discard a not similar image quickly without making costly computations. This paper presents the use of a Stream Processing platform to index images generated by different users. For this, it is necessary to represent these images by vectors containing different MPGE-7 features. This paper shows a Stream Processing platform using its processing elements (PEs) in parallel to speed up the operations involved in the index construction.
format	Articulo Articulo
author	Lobos, Jair Gil Costa, Graciela Verónica Reyes, Nora Susana Printista, Alicia Marcela Marín, Mauricio
author_facet	Lobos, Jair Gil Costa, Graciela Verónica Reyes, Nora Susana Printista, Alicia Marcela Marín, Mauricio
author_sort	Lobos, Jair
title	Stream processing to solve image search by similarity
title_short	Stream processing to solve image search by similarity
title_full	Stream processing to solve image search by similarity
title_fullStr	Stream processing to solve image search by similarity
title_full_unstemmed	Stream processing to solve image search by similarity
title_sort	stream processing to solve image search by similarity
publishDate	2015
url	http://sedici.unlp.edu.ar/handle/10915/50180 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST41-Paper-8.pdf
work_keys_str_mv	AT lobosjair streamprocessingtosolveimagesearchbysimilarity AT gilcostagracielaveronica streamprocessingtosolveimagesearchbysimilarity AT reyesnorasusana streamprocessingtosolveimagesearchbysimilarity AT printistaaliciamarcela streamprocessingtosolveimagesearchbysimilarity AT marinmauricio streamprocessingtosolveimagesearchbysimilarity
bdutipo_str	Repositorios
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Stream processing to solve image search by similarity

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