Actas de congresos
Image Classification Based On Bag Of Visual Graphs
Registro en:
9781479923410
2013 Ieee International Conference On Image Processing, Icip 2013 - Proceedings. , v. , n. , p. 4312 - 4316, 2013.
10.1109/ICIP.2013.6738888
2-s2.0-84897792022
Autor
Silva F.B.
Goldenstein S.
Tabbone S.
Da S. Torres R.
Institución
Resumen
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.
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