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Paper Abstract and Keywords
Presentation 2017-05-22 13:25
Digital watermark detection method based on feature point matching using RANSAC algorithm
Yo Kitaoka, Kazuhiko Yamaguchi (UEC) IT2017-2 EMM2017-2
Abstract (in Japanese) (See Japanese page) 
(in English) The geometrical attack easily remove watermark data for the still image. We miss the synchronization of embedding position and it becomes impossible to detect the watermark information. In this paper, we performed feature point matching between the original image and the modified image using the local features, and estimate the projective transformation matrix based on the RANSAC algorithm. The methods detect the embedding position by performing inverse transformation on the modified image. We investigated the luminance value and watermark information changed by the projective transformation of scaling or rotation. We embedded on middle region of frequency domain on DCT. As a result, we realize a scheme resistant to scaling and rotation attacks.
Keyword (in Japanese) (See Japanese page) 
(in English) Watermarking / SIFT feature point / Geometric attack / RANSAC / DCT / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 40, EMM2017-2, pp. 7-12, May 2017.
Paper # EMM2017-2 
Date of Issue 2017-05-15 (IT, EMM) 
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 IT2017-2 EMM2017-2

Conference Information
Committee EMM IT  
Conference Date 2017-05-22 - 2017-05-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Yamagata University(Yonezawa Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information Security, Information Theory, Information Hiding, etc. 
Paper Information
Registration To EMM 
Conference Code 2017-05-EMM-IT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Digital watermark detection method based on feature point matching using RANSAC algorithm 
Sub Title (in English)  
Keyword(1) Watermarking  
Keyword(2) SIFT feature point  
Keyword(3) Geometric attack  
Keyword(4) RANSAC  
Keyword(5) DCT  
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1st Author's Name Yo Kitaoka  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Kazuhiko Yamaguchi  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2017-05-22 13:25:00 
Presentation Time 25 minutes 
Registration for EMM 
Paper # IT2017-2, EMM2017-2 
Volume (vol) vol.117 
Number (no) no.39(IT), no.40(EMM) 
Page pp.7-12 
#Pages 6 
Date of Issue 2017-05-15 (IT, EMM) 

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