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| Paper Abstract and Keywords | ||
| Presentation | 2010-09-05 10:00 Generic Object Recognition Based on Rough Segmentation Data Given by a User Mitsuru Ambai, Yuichi Yoshida (Denso IT Laboratory, Inc.)  PRMU2010-59 IBISML2010-31 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we revisit a generic object recognition problem from a point of view of human-computer interaction. Many of existing algorithms of the generic object recognition consist of following three tasks: target region segmentation, feature extraction and classification. While these three tasks are automatically processed on a computer in the previous approaches, solving the target region segmentation task by a computer is not always necessary in many practical situations in which a recognition system can request a user to input rough segmentation data of a target. Although rough segmentation may not give enough classification performance, the use of many rough segmentation datasets in learning process will avoid this problem. In order to validate this hypothesis, we created “20 wild bird datasets” and evaluated classification accuracy of the datasets. Our experiments revealed that generating multiple training samples from a single image by using multiple rough segmentation datasets brought positive effects on classification accuracies, especially when image features including spacial information such as PHOG and PHOW were used. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | generic object recognition / user interface / / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 187, PRMU2010-59, pp. 13-20, Sept. 2010. | |
| Paper # | PRMU2010-59 | |
| Date of Issue | 2010-08-29 (PRMU, IBISML) | |
| 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 | PRMU2010-59 IBISML2010-31 |
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| Conference Information | |
| Committee | IBISML PRMU IPSJ-CVIM |
| Conference Date | 2010-09-05 - 2010-09-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Fukuoka Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine learning and optimization for computer vision and pattern recognition, etc. |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2010-09-IBISML-PRMU-CVIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Generic Object Recognition Based on Rough Segmentation Data Given by a User |
| Sub Title (in English) | |
| Keyword(1) | generic object recognition |
| Keyword(2) | user interface |
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| 1st Author's Name | Mitsuru Ambai |
| 1st Author's Affiliation | Denso IT Laboratory, Inc. (Denso IT Laboratory, Inc.) |
| 2nd Author's Name | Yuichi Yoshida |
| 2nd Author's Affiliation | Denso IT Laboratory, Inc. (Denso IT Laboratory, Inc.) |
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| Speaker | Author-1 |
| Date Time | 2010-09-05 10:00:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2010-59, IBISML2010-31 |
| Volume (vol) | vol.110 |
| Number (no) | no.187(PRMU), no.188(IBISML) |
| Page | pp.13-20 |
| #Pages | 8 |
| Date of Issue | 2010-08-29 (PRMU, IBISML) |
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