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
2007/52015-0 ; 2009/05951-8 ; 2009/18438-7 ; 2011/11171-5 ; 2013/08645-0
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ
306580/2012-8 ; 484254/2012-0
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 |