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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Unsupervised rank diffusion for content-based image retrieval

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Autor(es):
Guimaraes Pedronette, Daniel Carlos ; Torres, Ricardo da S.
Número total de Autores: 2
Tipo de documento: Artigo Científico
Fonte: Neurocomputing; v. 260, p. 478-489, OCT 18 2017.
Citações Web of Science: 0
Resumo

Despite the continuous development of features and mid-level representations, effectively and reliably measuring the similarity among images remains a challenging problem in image retrieval tasks. Once traditional measures consider only pairwise analysis, context-sensitive measures capable of exploiting the intrinsic manifold structure became indispensable for improving the retrieval performance. In this scenario, diffusion processes and rank-based methods are the most representative approaches. This paper proposes a novel hybrid method, named rank diffusion, which uses a diffusion process based on ranking information. The proposed method consists in a diffusion-based re-ranking approach, which propagates contextual information through a diffusion process defined in terms of top-ranked objects, reducing the computational complexity of the proposed algorithm. Extensive experiments considering a rigorous experimental protocol were conducted on six public image datasets and several different descriptors. Experimental results and comparison with state-of-the-art methods demonstrate that high effectiveness gains can be obtained, despite the low-complexity of the algorithm proposed. (C) 2017 Elsevier B.V. All rights reserved. (AU)

Processo FAPESP: 13/50155-0 - Combining new technologies to monitor phenology from leaves to ecosystems
Beneficiário:Leonor Patricia Cerdeira Morellato
Linha de fomento: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - PITE
Processo FAPESP: 13/08645-0 - Reclassificação e agregação de listas para tarefas de recuperação de imagens
Beneficiário:Daniel Carlos Guimarães Pedronette
Linha de fomento: Auxílio à Pesquisa - Apoio a Jovens Pesquisadores
Processo FAPESP: 13/50169-1 - Towards an understanding of tipping points within tropical South American biomes
Beneficiário:Ricardo da Silva Torres
Linha de fomento: Auxílio à Pesquisa - Parceria para Inovação Tecnológica - PITE