| Texto completo | |
| Autor(es): |
da Silva, Andre Tavares
[1]
;
dos Santos, Jefersson Alex
[2]
;
Falcao, Alexandre Xavier
[2]
;
Torres, Ricardo da S.
[2]
;
Magalhaes, Leo Pini
[1]
Número total de Autores: 5
|
| Afiliação do(s) autor(es): | [1] Univ Campinas Unicamp, Dept Comp Engn & Ind Automat, Sch Elect & Comp Engn, BR-13083852 Campinas, SP - Brazil
[2] Univ Campinas UNICAMP, Inst Comp, BR-13083852 Campinas, SP - Brazil
Número total de Afiliações: 2
|
| Tipo de documento: | Artigo Científico |
| Fonte: | COMPUTER VISION AND IMAGE UNDERSTANDING; v. 116, n. 4, p. 510-523, APR 2012. |
| Citações Web of Science: | 11 |
| Resumo | |
In content-based image retrieval (CBIR) using feedback-based learning, the user marks the relevance of returned images and the system learns how to return more relevant images in a next iteration. In this learning process, image comparison may be based on distinct distance spaces due to multiple visual content representations. This work improves the retrieval process by incorporating multiple distance spaces in a recent method based on optimum-path forest (OPF) classification. For a given training set with relevant and irrelevant images, an optimization algorithm finds the best distance function to compare images as a combination of their distances according to different representations. Two optimization techniques are evaluated: a multi-scale parameter search (MSPS), never used before for CBIR, and a genetic programming (GP) algorithm. The combined distance function is used to project an OPF classifier and to rank images classified as relevant for the next iteration. The ranking process takes into account relevant and irrelevant representatives, previously found by the OPF classifier. Experiments show the advantages in effectiveness of the proposed approach with both optimization techniques over the same approach with single distance space and over another state-of-the-art method based on multiple distance spaces. Crown Copyright (C) 2011 Published by Elsevier Inc. All rights reserved. (AU) | |
| Processo FAPESP: | 07/52015-0 - Métodos de aproximação para computação visual |
| Beneficiário: | Jorge Stolfi |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |
| Processo FAPESP: | 08/58528-2 - Classificacao semi-automatica de regioes em imagens de sensoriamento remoto utilizando realimentacao de relevancia |
| Beneficiário: | Jefersson A dos Santos |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 08/57428-4 - Automatização do diagnóstico de parasitos intestinais do homem por análise de imagens |
| Beneficiário: | Alexandre Xavier Falcão |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 09/18438-7 - Classificação e busca em grande escala para dados complexos |
| Beneficiário: | Ricardo da Silva Torres |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |