Paper Abstract and Keywords |
Presentation |
2019-12-06 14:15
A Scheme of Digital Copyright Management System Based on Blockchain and Digital Watermarking
-- Research on Improvement Method of Perceptual Hashing based on Machine Learning -- Zhaoxiong Meng, Tetsuya Morizumi (KU), Sumiko Miyata (SIT), Hirotsugu Kinoshita (KU) SITE2019-83 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this study, in order to search for a new digital content copyright management method that achieves both safety and convenience, we aim to improve the digital watermarking technology that embeds evidence information using content redundancy. In our previous study, we found three requirements for digital watermarking. The first is that to prevent watermark information of an image from being diverted to other images, this information must be generated based on the original image. The second is that after the original image is modified/edited, it should still be able to be used the same as the original image. The third is that multiple digital watermarks should be stored and managed without relying on trusted third parties. To meet these requirements, we proposed a digital-copyright-management system based on perceptual hashing and blockchain. However, because we used conventional perceptual hashing in that study, we could not draw sufficient conclusions about the first and second requirements. In this current study, to obtain a stable message digest, we propose a method of improving perceptual hashing based on machine learning and intermediate layer of convolutional neural network (CNN). These can be said to be next-generation technologies applicable to objective image quality evaluation methods and image retrieval systems. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Perceptual Hashing / Machine Learning / Blockchain / Digital Watermarking / Digital Copyright Management / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 329, SITE2019-83, pp. 21-27, Dec. 2019. |
Paper # |
SITE2019-83 |
Date of Issue |
2019-11-29 (SITE) |
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) |
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SITE2019-83 |
Conference Information |
Committee |
SITE |
Conference Date |
2019-12-06 - 2019-12-06 |
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(See Japanese page) |
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Paper Information |
Registration To |
SITE |
Conference Code |
2019-12-SITE |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Scheme of Digital Copyright Management System Based on Blockchain and Digital Watermarking |
Sub Title (in English) |
Research on Improvement Method of Perceptual Hashing based on Machine Learning |
Keyword(1) |
Perceptual Hashing |
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Machine Learning |
Keyword(3) |
Blockchain |
Keyword(4) |
Digital Watermarking |
Keyword(5) |
Digital Copyright Management |
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1st Author's Name |
Zhaoxiong Meng |
1st Author's Affiliation |
Kanagawa University (KU) |
2nd Author's Name |
Tetsuya Morizumi |
2nd Author's Affiliation |
Kanagawa University (KU) |
3rd Author's Name |
Sumiko Miyata |
3rd Author's Affiliation |
Shibaura Institute of Technology (SIT) |
4th Author's Name |
Hirotsugu Kinoshita |
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Kanagawa University (KU) |
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Speaker |
Author-1 |
Date Time |
2019-12-06 14:15:00 |
Presentation Time |
25 minutes |
Registration for |
SITE |
Paper # |
SITE2019-83 |
Volume (vol) |
vol.119 |
Number (no) |
no.329 |
Page |
pp.21-27 |
#Pages |
7 |
Date of Issue |
2019-11-29 (SITE) |
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