Please use this identifier to cite or link to this item:
|Type:||Artigo de evento|
|Title:||Image Classification Based On Bag Of Visual Graphs|
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.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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