IMAGE CLASSIFICATION BASED ON BAG OF VISUAL GRAPHS

被引：0

作者：

Silva, Fernanda B. ^{[1
]}

Goldenstein, Siome ^{[1
]}

Tabbone, Salvatore ^{[2
]}

Torres, Ricardo da S. ^{[1
]}

机构：

[1] Univ Estadual Campinas, UNICAMP, Inst Comp, RECOD Lab, BR-13083852 Campinas, SP, Brazil

[2] Univ Lorraine, LORIA, UMR 7503, F-54506 Vandoeuvre Les Nancy, France

来源：

2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013) | 2013年

关键词：

image classification; bag of visual words; spatial relationships; graphs; SCALE;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

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.

引用

页码：4312 / 4316

页数：5

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