Presentation | 2002/3/11 Content-Based Image Retrieval System with Computational Complexity Adjustment using Kohonen's Map Yutaka KURAMOCHI, Kazumasa SHINJO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes the content-based image retrieval system equipped with the computational complexity adjustment function using the associative memories on Kohonen's self-organizing map (SOM). This system consists of volunteer computers distributed on the communication network. Furthermore, users can specify the optimal feature extractor, because the feature extraction from an image is performed for every retrieval demand. In consideration of the feature extraction which requires computational complexity, we propose the technique of the machine-time adjustment which recovers the feature dimensions by SOM. This paper discusses the relationship between the retrieval result and retrieval time in our proposal. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Kohonen's self-organizing map / content-based image retrieval / feature extraction / peer-to-peer network |
Paper # | NC2001-146 |
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Committee | NC |
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Conference Date | 2002/3/11(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Content-Based Image Retrieval System with Computational Complexity Adjustment using Kohonen's Map |
Sub Title (in English) | |
Keyword(1) | Kohonen's self-organizing map |
Keyword(2) | content-based image retrieval |
Keyword(3) | feature extraction |
Keyword(4) | peer-to-peer network |
1st Author's Name | Yutaka KURAMOCHI |
1st Author's Affiliation | ATR Adaptive Communications Research Laboratories() |
2nd Author's Name | Kazumasa SHINJO |
2nd Author's Affiliation | ATR Adaptive Communications Research Lacoratories |
Date | 2002/3/11 |
Paper # | NC2001-146 |
Volume (vol) | vol.101 |
Number (no) | 735 |
Page | pp.pp.- |
#Pages | 8 |
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