A scalable re-ranking method for content-based image retrieval

A scalable re-ranking method for content-based image retrieval

Daniel Carlos Guimarães Pedronette, Jurandy Almeida, Ricardo da S. Torres

ARTIGO

Inglês

Content-based Image Retrieval (CBIR) systems consider only a pairwise analysis, i.e., they measure the similarity between pairs of images, ignoring the rich information encoded in the relations among several images. However, the user perception usually co

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ

COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES

Fechado

A scalable re-ranking method for content-based image retrieval

Daniel Carlos Guimarães Pedronette, Jurandy Almeida, Ricardo da S. Torres


										

A scalable re-ranking method for content-based image retrieval

Daniel Carlos Guimarães Pedronette, Jurandy Almeida, Ricardo da S. Torres

    Fontes

    Information sciences

    Vol. 265 (May, 2014), p. 91-104