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| Presentation | 2019-03-14 13:50 Aspect-Ratio-Preserving Multi-Patch Image Aesthetic Score Prediction. Lijie Wang, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo)  IMQ2018-37 IE2018-121 MVE2018-68 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | According to the spread of Social Networking Services (SNS), there is the increasing demand for automatically selecting, editing or generating aesthetic images and it raises importance of evaluating image aesthetics. We propose a multi-patch image aesthetic score prediction method with preserving original aspect-ratios of original images. In the experiment with AVA dataset containing 250,000 images, our approach outperforms the existing method in image aesthetic score prediction, especially improved the linear correlation coefficient between predicted and ground truth aesthetic scores by 0.05. Noticeably, significant decrease in prediction errors is observed with images having minor aspect-ratios. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | image aesthetics / score distribution / EMD / multi-patch learning / deep learning / CNN / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 502, MVE2018-68, pp. 85-90, March 2019. | |
| Paper # | MVE2018-68 | |
| Date of Issue | 2019-03-07 (IMQ, IE, 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 | IMQ2018-37 IE2018-121 MVE2018-68 |
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| Conference Information | |
| Committee | IMQ IE MVE CQ |
| Conference Date | 2019-03-14 - 2019-03-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kagoshima University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | media of five senses, multimedia, media experience, picture codinge, image media quality, network,quality and reliability, etc |
| Paper Information | |
| Registration To | MVE |
| Conference Code | 2019-03-IMQ-IE-MVE-CQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Aspect-Ratio-Preserving Multi-Patch Image Aesthetic Score Prediction. |
| Sub Title (in English) | |
| Keyword(1) | image aesthetics |
| Keyword(2) | score distribution |
| Keyword(3) | EMD |
| Keyword(4) | multi-patch learning |
| Keyword(5) | deep learning |
| Keyword(6) | CNN |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Lijie Wang |
| 1st Author's Affiliation | The University of Tokyo (UTokyo) |
| 2nd Author's Name | Xueting Wang |
| 2nd Author's Affiliation | The University of Tokyo (UTokyo) |
| 3rd Author's Name | Toshihiko Yamasaki |
| 3rd Author's Affiliation | The University of Tokyo (UTokyo) |
| 4th Author's Name | Kiyoharu Aizawa |
| 4th Author's Affiliation | The University of Tokyo (UTokyo) |
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| Speaker | Author-1 |
| Date Time | 2019-03-14 13:50:00 |
| Presentation Time | 25 minutes |
| Registration for | MVE |
| Paper # | IMQ2018-37, IE2018-121, MVE2018-68 |
| Volume (vol) | vol.118 |
| Number (no) | no.500(IMQ), no.501(IE), no.502(MVE) |
| Page | pp.85-90 |
| #Pages | 6 |
| Date of Issue | 2019-03-07 (IMQ, IE, MVE) |
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