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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ciftci, C. Ergul, E. Arica, N. |
| Copyright Year | 2011 |
| Description | Author affiliation: Bilgisayar Mühendisliği Bölümü, Deniz Harp Okulu, Turkey (Ciftci, C.; Ergul, E.; Arica, N.) |
| Abstract | We introduce a new approach into scene classification problem related to Bag-of-Words (BoW) representation. Category specific filter banks are generated on distinctive feature channels with varying scales by using Graph-Based Visual Saliency (GBVS) algorithm. After preprocessing each image using filtre banks, dense Scale Invariant Feature Transform (SIFT) method is applied to the filtered samples at regular spacing grids. In order to achieve scale invariency, we concatenate SIFT-like descriptors from filtered images of different scales within visual channels. In image representation stage, BoW modeling is improved by adding spatial information and a probabilistic voting scheme. We compare the proposed algorithm with the most promising methods in the literature, using a very challenging and popular 15-class-dataset. It is seen in experiments that our method noticeably outperforms the others. |
| Starting Page | 829 |
| Ending Page | 832 |
| File Size | 593654 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457704628 |
| e-ISBN | 9781457704635 |
| e-ISBN | 9781457704611 |
| DOI | 10.1109/SIU.2011.5929779 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-04-20 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Histograms Visualization Conferences Filter banks Information filters Image classification |
| Content Type | Text |
| Resource Type | Article |
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