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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 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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF 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)  
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
Date Time 2018-09-27 13:50:00 
Presentation Time 25 
Registration for EMM 
Paper # IEICE-LOIS2018-12,IEICE-IE2018-32,IEICE-EMM2018-51 
Volume (vol) IEICE-118 
Number (no) no.222(LOIS), no.223(IE), no.224(EMM) 
Page pp.13-18 
#Pages IEICE-6 
Date of Issue IEICE-LOIS-2018-09-20,IEICE-IE-2018-09-20,IEICE-EMM-2018-09-20 


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