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| Presentation | 2013-03-15 10:00 Object Discovery from Images with Multiple Objects based on Co-occurring Graphs Takayuki Nanbu, Hisashi Koga, Toshinori Watanabe (Univ. of Electro- Comm.)  PRMU2012-209 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Although the BoF (Bag-of-Features) model has succeeded in automatic object discovery, it still has some drawbacks: For example, the BoF model does not represent the spatial relation between feature points. Moreover, decision of the proper vocabulary size is difficult. Xia and Hancock propose a graph-based object discovery algorithm in order to overcome these drawbacks. However, their algorithm assumes that each image contains only one object. In this paper, we propose a new graph-based object discovery method which deals with images including multiple objects. Our algorithm classifies the SIFT features out of the images into clusters based on the results of the SIFT matching. Here, because our clustering method does not require the number of the clusters as its input, we do not have to determine the vocabulary size. Then, the object models are acquired as the set of co-occurring edges, relying on the observation that the similar graph patterns occurs frequently in multiple object instances of the same kind. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Object Discovery / Graph-based Image Processing / SIFT matching / Frequent Pattern Mining / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 112, no. 495, PRMU2012-209, pp. 169-174, March 2013. | |
| Paper # | PRMU2012-209 | |
| Date of Issue | 2013-03-07 (PRMU) | |
| 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 | PRMU2012-209 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2013-03-14 - 2013-03-15 |
| 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 | 2013-03-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Object Discovery from Images with Multiple Objects based on Co-occurring Graphs |
| Sub Title (in English) | |
| Keyword(1) | Object Discovery |
| Keyword(2) | Graph-based Image Processing |
| Keyword(3) | SIFT matching |
| Keyword(4) | Frequent Pattern Mining |
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| 1st Author's Name | Takayuki Nanbu |
| 1st Author's Affiliation | The University of Electro-Cmmunications (Univ. of Electro- Comm.) |
| 2nd Author's Name | Hisashi Koga |
| 2nd Author's Affiliation | The University of Electro-Cmmunications (Univ. of Electro- Comm.) |
| 3rd Author's Name | Toshinori Watanabe |
| 3rd Author's Affiliation | The University of Electro-Cmmunications (Univ. of Electro- Comm.) |
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| Speaker | Author-1 |
| Date Time | 2013-03-15 10:00:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2012-209 |
| Volume (vol) | vol.112 |
| Number (no) | no.495 |
| Page | pp.169-174 |
| #Pages | 6 |
| Date of Issue | 2013-03-07 (PRMU) |
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