| Presentation | 2000/5/2 Design, Implementation and Performance Evaluation of Similar Image Retrieval System based on Self-Organizing Feature Map Kun-seok OH, Kunihiko KANEKO, Akifumi MAKINOUCHI, Atsuko UENO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The paper describes a new method to extract and cluster image features for effective still image database. The features concerning color and texture are extracted using the multiresolution analysis. Contrast to traditional image databases where feature vectors extracted from stored images are stored and are used to match the feature vector of the input image, we use the Self-Organizing Maps neural network for clustering stored images and generate topological feature maps with codebook vectors represented similarity between feature vectors. No feature vectors is stored in the databases, since similar retrieval is performed between codebook vectors and feature vectors. A prototype image database is developed and we experiments on the method of retrieval by example and subspace for image data. The paper reports on the architecture and experimental results. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | wavelet transform / multiresolution analysis / self-organizing map / similar retrieval / image database |
| Paper # | DE2000-2 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 2000/5/2(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Data Engineering (DE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Design, Implementation and Performance Evaluation of Similar Image Retrieval System based on Self-Organizing Feature Map |
| Sub Title (in English) | |
| Keyword(1) | wavelet transform |
| Keyword(2) | multiresolution analysis |
| Keyword(3) | self-organizing map |
| Keyword(4) | similar retrieval |
| Keyword(5) | image database |
| 1st Author's Name | Kun-seok OH |
| 1st Author's Affiliation | Department of Intelligent Systems, Graduate School of Information Science & Electrical Engineering, Kyushyu University() |
| 2nd Author's Name | Kunihiko KANEKO |
| 2nd Author's Affiliation | Department of Intelligent Systems, Graduate School of Information Science & Electrical Engineering, Kyushu University |
| 3rd Author's Name | Akifumi MAKINOUCHI |
| 3rd Author's Affiliation | Department of Intelligent Systems, Graduate School of Information Science & Electrical Engineering, Kyushu University |
| 4th Author's Name | Atsuko UENO |
| 4th Author's Affiliation | Department of Intelligent Systems, Graduate School of Information Science & Electrical Engineering, Kyushu University |
| Date | 2000/5/2 |
| Paper # | DE2000-2 |
| Volume (vol) | vol.100 |
| Number (no) | 31 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |