Parallelization of image similarity analysis

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Detalles Bibliográficos
Autor Principal: Naiouf, Ricardo Marcelo
Otros autores o Colaboradores: Tarrío, Diego Fernando, De Giusti, Laura Cristina, De Giusti, Armando Eduardo
Formato: Capítulo de libro
Lengua:inglés
Temas:
ALGORITMOS PARALELOS
RECONOCIMIENTO DE PATRONES
ARQUITECTURAS PARALELAS
IMÁGENES
Acceso en línea:http://goo.gl/eb5Uu2
Consultar en el Cátalogo
Resumen: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.
Notas:Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
Descripción Física:1 archivo (48,4 KB)

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520 |a 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. 
534 |a Journal of Computer Science & Technology, 1(5) 
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650 4 |a RECONOCIMIENTO DE PATRONES 
650 4 |a ARQUITECTURAS PARALELAS 
650 4 |a IMÁGENES 
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700 1 |a De Giusti, Laura Cristina 
700 1 |a De Giusti, Armando Eduardo 
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