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| Presentation | 2016-06-13 09:00 A study on performance improvement of multi-class image classification using modified CS-LBP features Toshiaki Inoue (Pioneer)  PRMU2016-35 SP2016-1 WIT2016-1 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | LBP feature, suitable for robust and low-cost texture classification, is expected to be available for high-performance image recognition systems in various applications such as traffics, surveillance, and medicals. In this paper, we describe discrimination improvements of CS-LBP feature, one of LBP techniques. In original methods, features are expressed by binary encoding of primary spatial differentials about pixel values, whereas in our method, binary encoding of secondary spatial differentials followed by re-encoding with rotation-invariance relation between all binary patterns is adopted. Multi-class image classification tests using a framework composed of BoVW image descriptor and non-linear subspace method shows that our method is effective in various dataset such as generic objects, indoor/outdoor scenes, as well as texture images. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | CS-LBP / bag of visual words / subspace method / classification / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 89, PRMU2016-35, pp. 1-6, June 2016. | |
| Paper # | PRMU2016-35 | |
| Date of Issue | 2016-06-06 (PRMU, SP, WIT) | |
| 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 | PRMU2016-35 SP2016-1 WIT2016-1 |
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| Conference Information | |
| Committee | PRMU SP WIT ASJ-H |
| Conference Date | 2016-06-13 - 2016-06-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2016-06-PRMU-SP-WIT-H |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study on performance improvement of multi-class image classification using modified CS-LBP features |
| Sub Title (in English) | |
| Keyword(1) | CS-LBP |
| Keyword(2) | bag of visual words |
| Keyword(3) | subspace method |
| Keyword(4) | classification |
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| 1st Author's Name | Toshiaki Inoue |
| 1st Author's Affiliation | Pioneer Corporation (Pioneer) |
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| Speaker | Author-1 |
| Date Time | 2016-06-13 09:00:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2016-35, SP2016-1, WIT2016-1 |
| Volume (vol) | vol.116 |
| Number (no) | no.89(PRMU), no.90(SP), no.91(WIT) |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2016-06-06 (PRMU, SP, WIT) |
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