Presentation | 2001/7/11 a Recgnition and Retrieval System for Binary Images Atsuhsi Matsumura, Miki Haseyama, Hideo Kitajima, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a new recognition and retrieval system for binary images. In this system, an image is segmented into several areas that have several different elements(e.g. circular measure, degree of occlusion, etc.). The similarity between an input image and images in the database is calculated by the elements. One of the significant points in this system is that it is a trainable system, that dignifies several points that are principal in the images. After training, the data in the image database system are renewed to get recognition rate better. This paper shows effectiveness of the proposed method and the training by some experiments. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | image recognition / image retrieval / training |
Paper # | IE2001-32,PRMU2001-52,MVE2001-31 |
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Conference Information | |
Committee | MVE |
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Conference Date | 2001/7/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Media Experience and Virtual Environment (MVE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | a Recgnition and Retrieval System for Binary Images |
Sub Title (in English) | |
Keyword(1) | image recognition |
Keyword(2) | image retrieval |
Keyword(3) | training |
1st Author's Name | Atsuhsi Matsumura |
1st Author's Affiliation | Graduate School of Engineering, Hokkaido University() |
2nd Author's Name | Miki Haseyama |
2nd Author's Affiliation | Graduate School of Engineering, Hokkaido University |
3rd Author's Name | Hideo Kitajima |
3rd Author's Affiliation | Graduate School of Engineering, Hokkaido University |
Date | 2001/7/11 |
Paper # | IE2001-32,PRMU2001-52,MVE2001-31 |
Volume (vol) | vol.101 |
Number (no) | 204 |
Page | pp.pp.- |
#Pages | 6 |
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