Artículos de revistas
A Signature-based Bag Of Visual Words Method For Image Indexing And Search
Registro en:
A Signature-based Bag Of Visual Words Method For Image Indexing And Search. Elsevier Science Bv, v. 65, p. 1-7 Nov-2015.
0167-8655
WOS:000362187000001
10.1016/j.patrec.2015.06.023
Autor
dos Santos
Joyce Miranda; de Moura
Edleno Silva; da Silva
Altigran Soares; Cavalcanti
Joao Marcos B.; Torres
Ricardo da Silva; Vidal
Marcio Luiz A.
Institución
Resumen
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) In this paper, we revisit SDLC, an image retrieval method that adopts a signature-based approach to identify visual words, instead of the more conventional approach that identifies them by using clustering techniques. We start by providing a formal and generalized definition of the approach adopted in SDLC, which we call Signature-Based Bag of Visual Words. After that, we present a detailed study of SDLC parameters and experiments with distinct weighting schemes used to compute the ranking of results, comparing the method to well-known cluster-based bag of visual words approaches. When compared to the initial proposal of SDLC, the choice of different parameters and a new weighting scheme allowed us to considerably reduce the size of the textual representation generated by the method, reducing also the indexing times and the query processing times in all collections adopted in the experiments. Further, the SDLC outperforms the baselines in most of these collections. (C) 2015 Elsevier B.V. All rights reserved. 65
1 7 project E-vox pesquisa/FAPEAM Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)