| Presentation | 2008-09-06 Image Based Search System Using Hierarchical Object Category Recognition Technique Takuya MINAGAWA, Hideo SAITO, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we present the information search system using object category recognition, which is queried by camera of mobile phone or by photo sharing service on internet. In such system, processing speed and generality are required. To improve processing speed, the hierarchical object category recognition technique proposed by Serre is modified using Haar-Like features or vector quantization of feature models. In addition, by retaining the information of each feature's position, this system covers the recognition of scene category. Trough the experiment, we prove this system's practicality. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Object Category Recognition / Scene Category Recognition / Information Search System |
| Paper # | PRMU2008-67,HIP2008-67 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2008/8/29(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Image Based Search System Using Hierarchical Object Category Recognition Technique |
| Sub Title (in English) | |
| Keyword(1) | Object Category Recognition |
| Keyword(2) | Scene Category Recognition |
| Keyword(3) | Information Search System |
| 1st Author's Name | Takuya MINAGAWA |
| 1st Author's Affiliation | Faculty of Science and Engineering, Keio University() |
| 2nd Author's Name | Hideo SAITO |
| 2nd Author's Affiliation | Faculty of Science and Engineering, Keio University |
| Date | 2008-09-06 |
| Paper # | PRMU2008-67,HIP2008-67 |
| Volume (vol) | vol.108 |
| Number (no) | 198 |
| Page | pp.pp.- |
| #Pages | 7 |
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