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Paper Abstract and Keywords
Presentation 2022-03-08 10:25
[Poster Presentation] Influence of Data Hiding in Etc-Image Classification with SVM
Kosuke Abe, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2021-112
Abstract (in Japanese) (See Japanese page) 
(in English) Classification accuracy for Encryption-then-Comperssion (EtC) images by support vector machine(SVM) is comparable to that for original images. In this paper, we evaluate the effect of a reversible embedding process for EtC images on the SVM-based image classification accuracy. In the embedding process, a client embeds a classification label into each EtC image. We assume that the classification label does not consist of words that directly represent the image content but a symbol that the client preliminarily assigns to the words. In this way, the client can send EtC images with classification labels to a third party such as a service provider, and allow the third party to learn the EtC images without disclosing the image content. Simulation results show that the classification accuracy of the marked EtC images is the same as the accuracies of the original and EtC images. We proved that not only the EtC process but also the embedding process does not affect the image classification accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) SVM / Encryption-then-Compression / Reversible data hiding / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 417, EMM2021-112, pp. 107-111, March 2022.
Paper # EMM2021-112 
Date of Issue 2022-02-28 (EMM) 
ISSN Online edition: ISSN 2432-6380
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 EMM2021-112

Conference Information
Committee EMM  
Conference Date 2022-03-07 - 2022-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) (Primary: Online, Secondary: On-site) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image and Sound Quality, Metrics for Perception and Recognition, Human Auditory and Visual System, etc. 
Paper Information
Registration To EMM 
Conference Code 2022-03-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Influence of Data Hiding in Etc-Image Classification with SVM 
Sub Title (in English)  
Keyword(1) SVM  
Keyword(2) Encryption-then-Compression  
Keyword(3) Reversible data hiding  
1st Author's Name Kosuke Abe  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Shoko Imaizumi  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Hitoshi Kiya  
3rd Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
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Speaker Author-1 
Date Time 2022-03-08 10:25:00 
Presentation Time 15 minutes 
Registration for EMM 
Paper # EMM2021-112 
Volume (vol) vol.121 
Number (no) no.417 
Page pp.107-111 
Date of Issue 2022-02-28 (EMM) 

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