| Presentation | 2011-03-07 Image Recognition Using Linguistic Resource Based on Scene Estimation Osamu OURA, Masafumi HAGIWARA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a new method of object recognition using a language resource based on scene estimation. First, object recognition is performed and the scene is estimated using the object recognition. Then the result of the scene recognition is feedbacked to use in the next object recognition. In the first step, object recognition is performed for an input image. In the second step, two-layer neural network is composed. In the third step, feedback is carried out. Confidence score for each scene is calculated for each feedback. In the last step, the most plausible object recognition result is output using the confidence scores. We carried out experiments. It has shown that the object recognition performance is greatly improved by the proposed feedback mechanism. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Image Recognition / Neural Network / Context / Google N-gram |
| Paper # | NC2010-135 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2011/2/28(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Image Recognition Using Linguistic Resource Based on Scene Estimation |
| Sub Title (in English) | |
| Keyword(1) | Image Recognition |
| Keyword(2) | Neural Network |
| Keyword(3) | Context |
| Keyword(4) | Google N-gram |
| 1st Author's Name | Osamu OURA |
| 1st Author's Affiliation | Faculty of Science and Technology, Keio University() |
| 2nd Author's Name | Masafumi HAGIWARA |
| 2nd Author's Affiliation | Faculty of Science and Technology, Keio University |
| Date | 2011-03-07 |
| Paper # | NC2010-135 |
| Volume (vol) | vol.110 |
| Number (no) | 461 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |