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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Silva, F.B. Goldenstein, S. Tabbone, S. da S. Torres, R. |
| Copyright Year | 2013 |
| Description | Author affiliation: LORIA, Univ. de Lorraine, Vandoeuvre-lès-Nancy, France (Tabbone, S.) || RECOD Lab., Univ. of Campinas - UNICAMP, Campinas, Brazil (Silva, F.B.; Goldenstein, 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. |
| Starting Page | 4312 |
| Ending Page | 4316 |
| File Size | 1222893 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479923410 |
| DOI | 10.1109/ICIP.2013.6738888 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-15 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | graphs image classification bag of visual words spatial relationships |
| Content Type | Text |
| Resource Type | Article |
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