Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/89035
Type: Artigo de evento
Title: Image Classification Based On Bag Of Visual Graphs
Author: Silva F.B.
Goldenstein S.
Tabbone S.
Da S. Torres R.
Abstract: This paper proposes the Bag of Visual Graphs (BoVG), a new approach to encode the spatial relationships of visual words through a codebook of visual-word arrangements, represented by graphs. This graph-based codebook defines a descriptor for image representations that not only considers the frequency of occurrence of visual words, but also their spatial relationships. Experiments demonstrate that BoVG yields high-accuracy scores in classification tasks on the traditional Caltech-101 and Caltech-256 datasets. © 2013 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/ICIP.2013.6738888
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84897792022&partnerID=40&md5=8782109f53de07b5d0cc82d05c3ac66a
Date Issue: 2013
Appears in Collections:Unicamp - Artigos e Outros Documentos

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