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 |
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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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) |
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SVM |
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Encryption-then-Compression |
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Reversible data hiding |
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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 |
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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 |
#Pages |
5 |
Date of Issue |
2022-02-28 (EMM) |
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