Appling parallelism in image mining

Image mining deals with the study and development of new technologies that allow accomplishing this subject. A common mistake about image mining is identifying its scopes and limitations. Clearly it is different from computer vision and image processing areas. Image mining deals with the extraction...

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Detalles Bibliográficos
Autores principales: Fernández, Jacqueline, Miranda, Natalia Carolina, Guerrero, Roberto A., Piccoli, María Fabiana
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2007
Materias:
Ciencias Informáticas
Image mining
image indexing and retrieval
object recognition
image clustering
association rule mining
parallel systems
parallel techniques
Parallel
Distributed
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/20462
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-20462
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
Image mining
image indexing and retrieval
object recognition
image clustering
association rule mining
parallel systems
parallel techniques
Parallel
Distributed
spellingShingle Ciencias Informáticas
Image mining
image indexing and retrieval
object recognition
image clustering
association rule mining
parallel systems
parallel techniques
Parallel
Distributed
Fernández, Jacqueline
Miranda, Natalia Carolina
Guerrero, Roberto A.
Piccoli, María Fabiana
Appling parallelism in image mining
topic_facet Ciencias Informáticas
Image mining
image indexing and retrieval
object recognition
image clustering
association rule mining
parallel systems
parallel techniques
Parallel
Distributed
description Image mining deals with the study and development of new technologies that allow accomplishing this subject. A common mistake about image mining is identifying its scopes and limitations. Clearly it is different from computer vision and image processing areas. Image mining deals with the extraction of image patterns from a large collection of images, whereas the focus of computer vision and image processing is in understanding and/or extracting specific features from a single image. On the other hand it might be thought that it is much related to content-based retrieval area, since both deals with large image collections. Nevertheless, image mining goes beyond the simple fact of recovering relevant images, the goal is the discovery of image patterns that are significant in a given collection of images. As a result, an image mining systems implies lots of tasks to be done in a regular time. Images provide a natural source of parallelism; so the use of parallelism in every or some mining tasks might be a good option to reduce the cost and overhead of the whole image mining process. At this work we will try to draw the image minnig problem: its computational cost, and to propose a possible global or local parallel solution.
format Objeto de conferencia
Objeto de conferencia
author Fernández, Jacqueline
Miranda, Natalia Carolina
Guerrero, Roberto A.
Piccoli, María Fabiana
author_facet Fernández, Jacqueline
Miranda, Natalia Carolina
Guerrero, Roberto A.
Piccoli, María Fabiana
author_sort Fernández, Jacqueline
title Appling parallelism in image mining
title_short Appling parallelism in image mining
title_full Appling parallelism in image mining
title_fullStr Appling parallelism in image mining
title_full_unstemmed Appling parallelism in image mining
title_sort appling parallelism in image mining
publishDate 2007
url http://sedici.unlp.edu.ar/handle/10915/20462
work_keys_str_mv AT fernandezjacqueline applingparallelisminimagemining
AT mirandanataliacarolina applingparallelisminimagemining
AT guerrerorobertoa applingparallelisminimagemining
AT piccolimariafabiana applingparallelisminimagemining
bdutipo_str Repositorios
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