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| Presentation | 2012-09-21 09:55 Optimization of computational complexity in Content Based Image Retrieval using Pulse Coupled Neural Network Yuta Ishida, Hiroaki Kurokawa (Tokyo Univ of Tech)  CAS2012-39 NLP2012-65 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Pulse Coupled Neural Network(PCNN) is a neural network model composed of spiking neuron. By correspondence with the pixels of the image, the neurons are arranged in a two-dimensional lattice, studies of various image processing have been proposed. On the other hand, share of images of large number has been made easier by the spread of internet. In order to search for similar images using these images, there is Content Based Image Retrieval(CBIR) using image itself as search key. CBIR is to search for images that have similar features to image features. In order to determine the features of the image, the method using PCNN is proposed. In CBIR using PCNN, do a search for similar image using the feature quantity called PCNN-Icon. PCNN-Icon is time series of the number of firing neurons in PCNN, this length affects the retrieval accuracy. This length also affects the amount of computation search. In the case of operation as a system, it is necessary to determine the length of the PCNN-Icon to optimize the load on the system and the retrieval accuracy. In this study, the optimization of search accuracy and seach speed. Optimization shows the effect on the amount of computation required for search and retrival accuracy in length PCNN-Icon. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Pulse Coupled Neural Network / Content Based Image Retrieval / / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 112, no. 205, NLP2012-65, pp. 49-54, Sept. 2012. | |
| Paper # | NLP2012-65 | |
| Date of Issue | 2012-09-13 (CAS, NLP) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | CAS2012-39 NLP2012-65 |
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| Conference Information | |
| Committee | NLP CAS |
| Conference Date | 2012-09-20 - 2012-09-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Eikokuji Campus, University of Kochi |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2012-09-NLP-CAS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Optimization of computational complexity in Content Based Image Retrieval using Pulse Coupled Neural Network |
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| Keyword(1) | Pulse Coupled Neural Network |
| Keyword(2) | Content Based Image Retrieval |
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| 1st Author's Name | Yuta Ishida |
| 1st Author's Affiliation | Tokyo University of Technology (Tokyo Univ of Tech) |
| 2nd Author's Name | Hiroaki Kurokawa |
| 2nd Author's Affiliation | Tokyo University of Technology (Tokyo Univ of Tech) |
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| Speaker | Author-1 |
| Date Time | 2012-09-21 09:55:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | CAS2012-39, NLP2012-65 |
| Volume (vol) | vol.112 |
| Number (no) | no.204(CAS), no.205(NLP) |
| Page | pp.49-54 |
| #Pages | 6 |
| Date of Issue | 2012-09-13 (CAS, NLP) |
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