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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Paris, S. Halkias, X. Glotin, H. |
| Copyright Year | 2012 |
| Description | Author affiliation: DYNI team, LSIS CNRS UMR 7296, Université Sud Toulon-Var (Halkias, X.; Glotin, H.) || DYNI team, LSIS CNRS UMR 7296, Aix-Marseille University (Paris, S.) |
| Abstract | In this $work^{1},$ we propose a novel approach for image categorization, which we will refer to as Bag-of-Scenes (BoS). It is based on the association of Sparse coding (Sc) and pooling techniques applied to histograms of multi-scale Local Binary Patterns (LBP) and its improved variant. This approach can be considered as a 2-layer hierarchical architecture. The first layer, encodes general local patch's structure via histograms of LBP, and the second, encodes the relationships between pre-analyzed LBP-scenes. Our method outperforms SIFT-based approaches using Sc techniques and can be trained efficiently with a simple linear SVM. Our BoS method achieves 87.02%, 87.71% and 79.05% of accuracy for Scene-15, UIUC-Sport and Caltech101 datasets respectively. |
| Starting Page | 2817 |
| Ending Page | 2820 |
| File Size | 378846 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467322164 |
| ISSN | 10514651 |
| e-ISBN | 9784990644109 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-11 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | ICPR Org Committee |
| Subject Keyword | Histograms Accuracy Visualization Image coding Kernel Dictionaries Vectors |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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