Paper Abstract and Keywords |
Presentation |
2019-09-19 15:35
Digital watermarking method against print-cam attack using deep learning for synchronization Hiroyuki Imagawa, Motoi Iwata, Koichi Kise (Osaka Pref. Univ.) LOIS2019-12 IE2019-25 EMM2019-69 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a novel watermarking method against print-cam attack.
Digital watermarking is used to get information from a printed watermarked image by taking.
In such applications, synchronization between a non-attacked watermarked image and print-cam attacked one needs high accuracy.
To achieve this, we use deep learning which is used for image recognition, image detection, and semantic segmentation.
We trained deep learning model whether watermarked image area or non-watermarked image area as semantic segmentation.
For the detection, estimate a watermarked image area from the result predicted by the deep learning model.
As a result of training, deep learning model with the data set which is consisted of warped watermarked and non-watermarked images got high accuracy of $99%$ mIoU. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Digital watermarking / Deep learning / Semantic segmentation / Print-cam / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 207, EMM2019-69, pp. 31-36, Sept. 2019. |
Paper # |
EMM2019-69 |
Date of Issue |
2019-09-12 (LOIS, IE, EMM) |
ISSN |
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) |
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LOIS2019-12 IE2019-25 EMM2019-69 |
Conference Information |
Committee |
IE EMM LOIS IEE-CMN ITE-ME IPSJ-AVM |
Conference Date |
2019-09-19 - 2019-09-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tokimeito, Niigata University |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
EMM |
Conference Code |
2019-09-IE-EMM-LOIS-CMN-ME-AVM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Digital watermarking method against print-cam attack using deep learning for synchronization |
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Digital watermarking |
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Deep learning |
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Semantic segmentation |
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Print-cam |
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1st Author's Name |
Hiroyuki Imagawa |
1st Author's Affiliation |
Osaka Prefecture University (Osaka Pref. Univ.) |
2nd Author's Name |
Motoi Iwata |
2nd Author's Affiliation |
Osaka Prefecture University (Osaka Pref. Univ.) |
3rd Author's Name |
Koichi Kise |
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Osaka Prefecture University (Osaka Pref. Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-09-19 15:35:00 |
Presentation Time |
25 minutes |
Registration for |
EMM |
Paper # |
LOIS2019-12, IE2019-25, EMM2019-69 |
Volume (vol) |
vol.119 |
Number (no) |
no.205(LOIS), no.206(IE), no.207(EMM) |
Page |
pp.31-36 |
#Pages |
6 |
Date of Issue |
2019-09-12 (LOIS, IE, EMM) |
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