Parallelization of image similarity analysis

The algorithmical architecture and structure is presented for the parallelization of image similarity analysis, based on obtaining multiple digital signatures for each image, in which each "signature" is composed by the most representative coefficients of the wavelet transform of the corre...

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Detalles Bibliográficos
Autores principales:	Naiouf, Marcelo, Tarrío, Diego F., De Giusti, Armando Eduardo, De Giusti, Laura Cristina
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2001
Materias:	Ciencias Informáticas Parallel algorithms PATTERN RECOGNITION Parallel processors
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/9421 http://journal.info.unlp.edu.ar/wp-content/uploads/p7.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-9421
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 Parallel algorithms PATTERN RECOGNITION Parallel processors
spellingShingle	Ciencias Informáticas Parallel algorithms PATTERN RECOGNITION Parallel processors Naiouf, Marcelo Tarrío, Diego F. De Giusti, Armando Eduardo De Giusti, Laura Cristina Parallelization of image similarity analysis
topic_facet	Ciencias Informáticas Parallel algorithms PATTERN RECOGNITION Parallel processors
description	The algorithmical architecture and structure is presented for the parallelization of image similarity analysis, based on obtaining multiple digital signatures for each image, in which each "signature" is composed by the most representative coefficients of the wavelet transform of the corresponding image area. In the present paper, image representation by wavelet transform coefficients is analyzed, as well as the convenience/necessity of using multiple coefficients for the study of similarity of images which may have transferred components, with change of sizes, color or texture. The complexity of the involved computation justifies parallelization, and the suggested solution constitutes a combination of a multiprocessors "pipelining", being each of them an homogeneous parallel architecture which obtains signature coefficients (wavelet). Partial reusability of computations for successive signatures makes these architectures pipelining compulsory.
format	Articulo Articulo
author	Naiouf, Marcelo Tarrío, Diego F. De Giusti, Armando Eduardo De Giusti, Laura Cristina
author_facet	Naiouf, Marcelo Tarrío, Diego F. De Giusti, Armando Eduardo De Giusti, Laura Cristina
author_sort	Naiouf, Marcelo
title	Parallelization of image similarity analysis
title_short	Parallelization of image similarity analysis
title_full	Parallelization of image similarity analysis
title_fullStr	Parallelization of image similarity analysis
title_full_unstemmed	Parallelization of image similarity analysis
title_sort	parallelization of image similarity analysis
publishDate	2001
url	http://sedici.unlp.edu.ar/handle/10915/9421 http://journal.info.unlp.edu.ar/wp-content/uploads/p7.pdf
work_keys_str_mv	AT naioufmarcelo parallelizationofimagesimilarityanalysis AT tarriodiegof parallelizationofimagesimilarityanalysis AT degiustiarmandoeduardo parallelizationofimagesimilarityanalysis AT degiustilauracristina parallelizationofimagesimilarityanalysis
bdutipo_str	Repositorios
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Parallelization of image similarity analysis

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