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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
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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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Conference Information
Committee SITE  
Conference Date 2019-12-06 - 2019-12-06 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
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  
Keyword(2) 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  
4th Author's Affiliation 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
Date of Issue 2019-11-29 (SITE) 


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