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| Presentation | 2015-10-08 14:15 Ranking model for image inpainting Mariko Isogawa, Dan Mikami, Kosuke Takahashi, Akira Kojima (NTT)  MVE2015-29 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | A method for blindly predicting inpainted image quality is proposed in this paper. Many existing image inpainting methods need to parameter tuning. However, there is no criteria to find optimal combination of appropriate inpainting methods and parameters. Thus these setting is adjusted by trial and error with observing inpainted result. This paper proposes novel image quality prediction method for inpainted images with no ground truth. We focus on two points as below; (1) Not a quality score but a ordering is important for selecting inpainted results, (2) Continuity unnaturalness around a contour of damaged region highly affect image entire quality. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Learning to rank / Inpainting / / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 245, MVE2015-29, pp. 49-54, Oct. 2015. | |
| Paper # | MVE2015-29 | |
| Date of Issue | 2015-10-01 (MVE) | |
| 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 | MVE2015-29 |
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| Conference Information | |
| Committee | MVE HI-SIG-VR |
| Conference Date | 2015-10-08 - 2015-10-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MVE |
| Conference Code | 2015-10-MVE-SIG-VR |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Ranking model for image inpainting |
| Sub Title (in English) | |
| Keyword(1) | Learning to rank |
| Keyword(2) | Inpainting |
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| 1st Author's Name | Mariko Isogawa |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 2nd Author's Name | Dan Mikami |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 3rd Author's Name | Kosuke Takahashi |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 4th Author's Name | Akira Kojima |
| 4th Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2015-10-08 14:15:00 |
| Presentation Time | 25 minutes |
| Registration for | MVE |
| Paper # | MVE2015-29 |
| Volume (vol) | vol.115 |
| Number (no) | no.245 |
| Page | pp.49-54 |
| #Pages | 6 |
| Date of Issue | 2015-10-01 (MVE) |
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