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| Presentation | 2016-06-16 17:00 Image retrieval in JPEG 2000 codestream domain by a deep learning approach Yusuke Sugawara (Tokyo Metropolitan Univ), Osamu Watanabe (Takushoku Univ), Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ)  CAS2016-15 VLD2016-21 SIP2016-49 MSS2016-15 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | A codestream-level image retrieval scheme for JPEG 2000 images by using a deep learning approach is proposed in this article. The aim is to retrieve similar images to a query image compressed with the JPEG 2000 standard, from a database in which JPEG 2000 images are labeled according to the similarity among images. The proposed retrieval scheme can be performed without decoding images because the features used in the image retrieval can be directly extracted from JPEG 2000 codestream. In previous research, a codestram-level retrieval scheme has been studied for JPEG 2000 images. However, it does not have enough retrieval accuracy, when there are no query images in the database. The proposed method can improve this problem. A number of simulations are carried out to confirm the effectiveness of the proposed scheme. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | JPEG 2000 / Deep Learning / Image Retrieval / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 95, SIP2016-49, pp. 79-84, June 2016. | |
| Paper # | SIP2016-49 | |
| Date of Issue | 2016-06-09 (CAS, VLD, SIP, MSS) | |
| 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 | CAS2016-15 VLD2016-21 SIP2016-49 MSS2016-15 |
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| Conference Information | |
| Committee | VLD CAS MSS SIP |
| Conference Date | 2016-06-16 - 2016-06-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hirosaki Shiritsu Kanko-kan |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | System, signal processing and related topics |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2016-06-VLD-CAS-MSS-SIP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Image retrieval in JPEG 2000 codestream domain by a deep learning approach |
| Sub Title (in English) | |
| Keyword(1) | JPEG 2000 |
| Keyword(2) | Deep Learning |
| Keyword(3) | Image Retrieval |
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| 1st Author's Name | Yusuke Sugawara |
| 1st Author's Affiliation | Tokyo Metropolitan University (Tokyo Metropolitan Univ) |
| 2nd Author's Name | Osamu Watanabe |
| 2nd Author's Affiliation | Takushoku University (Takushoku Univ) |
| 3rd Author's Name | Sayaka Shiota |
| 3rd Author's Affiliation | Tokyo Metropolitan University (Tokyo Metropolitan Univ) |
| 4th Author's Name | Hitoshi Kiya |
| 4th Author's Affiliation | Tokyo Metropolitan University (Tokyo Metropolitan Univ) |
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| Speaker | Author-1 |
| Date Time | 2016-06-16 17:00:00 |
| Presentation Time | 20 minutes |
| Registration for | SIP |
| Paper # | CAS2016-15, VLD2016-21, SIP2016-49, MSS2016-15 |
| Volume (vol) | vol.116 |
| Number (no) | no.93(CAS), no.94(VLD), no.95(SIP), no.96(MSS) |
| Page | pp.79-84 |
| #Pages | 6 |
| Date of Issue | 2016-06-09 (CAS, VLD, SIP, MSS) |
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