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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ozdemir, B. Aksoy, S. |
| Copyright Year | 2010 |
| Abstract | We describe an image representation that combines the representational power of graphs with the efficiency of the bag-of-words model. For each image in a data set, first, a graph is constructed from local patches of interest regions and their spatial arrangements. Then, each graph is represented with a histogram of sub graphs selected using a frequent subgraph mining algorithm in the whole data. Using the sub graphs as the visual words of the bag-of-words model and transforming of the graphs into a vector space using this model enables statistical classification of images using support vector machines. Experiments using images cut from a large satellite scene show the effectiveness of the proposed representation in classification of complex types of scenes into eight high-level semantic classes. |
| Starting Page | 1112 |
| Ending Page | 1115 |
| File Size | 1938356 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424475421 |
| ISSN | 10514651 |
| e-ISBN | 9781424475414 |
| DOI | 10.1109/ICPR.2010.278 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-23 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Histograms Data mining Feature extraction Support vector machines Image edge detection Pixel Satellites bag-of-words model Image representation histogram of subgraphs subgraph mining visual words |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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