Paper Abstract and Keywords |
Presentation |
2018-09-27 13:50
Image Patch Modeling in Encrypted Domain using Sparse Coding Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) LOIS2018-12 IE2018-32 EMM2018-51 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Sparse coding represents observed signals effectively as a linear combination of a small number of bases which are chosen from the basis functions trained by the algorithm. The effectiveness of sparse coding for image processing has been confirmed in the areas of image compression, image denoising, and image separation. On the other hand, cloud computing is spreading in many fields. However, the cloud computing has some serious issues for end users, such as unauthorized use and leak of data, and privacy compromise, due to unreliability of providers and some accident. In this manuscript, we propose a secure sparse coding computation. It is shown that the secure sparse coding computation enables us to not only protects observed signals, but also have the same estimation performance as that of sparse coding with unprotected observed signals . |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Sparse Coding / Image Processing / Orthogonal Matching Pursuit (OMP) / Random Unitary Transform / Secure Computation / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 224, EMM2018-51, pp. 13-18, Sept. 2018. |
Paper # |
EMM2018-51 |
Date of Issue |
2018-09-20 (LOIS, IE, 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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LOIS2018-12 IE2018-32 EMM2018-51 |
Conference Information |
Committee |
IEE-CMN EMM LOIS IE ITE-ME |
Conference Date |
2018-09-27 - 2018-09-28 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Beppu Int'l Convention Ctr. aka B-CON Plaza |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Multimedia Communication/System, Lifelog Applications, IP Broadcasting/Video Transmission, Media Security, Media Processing (AI, Deep Learning), etc. |
Paper Information |
Registration To |
EMM |
Conference Code |
2018-09-CMN-EMM-LOIS-IE-ME |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Image Patch Modeling in Encrypted Domain using Sparse Coding |
Sub Title (in English) |
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Keyword(1) |
Sparse Coding |
Keyword(2) |
Image Processing |
Keyword(3) |
Orthogonal Matching Pursuit (OMP) |
Keyword(4) |
Random Unitary Transform |
Keyword(5) |
Secure Computation |
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1st Author's Name |
Takayuki Nakachi |
1st Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
2nd Author's Name |
Hitoshi Kiya |
2nd Author's Affiliation |
Tokyo Metropolitan University (Tokyo Metro. Univ.) |
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Speaker |
Author-1 |
Date Time |
2018-09-27 13:50:00 |
Presentation Time |
25 minutes |
Registration for |
EMM |
Paper # |
LOIS2018-12, IE2018-32, EMM2018-51 |
Volume (vol) |
vol.118 |
Number (no) |
no.222(LOIS), no.223(IE), no.224(EMM) |
Page |
pp.13-18 |
#Pages |
6 |
Date of Issue |
2018-09-20 (LOIS, IE, EMM) |
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