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Paper Abstract and Keywords
Presentation 2019-03-14 11:30
Image Patch Modeling using Secure Computation of Sparse Dictionary Learning
Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) EMM2018-115
Abstract (in Japanese) (See Japanese page) 
(in English) With the advent of the big data era, digital content continues to increase.
Sparse coding is attracting attention as an information processing model for extracting significant information from a large amount of data. It has been applied to a number of fields including image processing and data analysis, and its effectiveness is recognized. 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 an image modeling method to perform sparse dictionary learning (MOD and K-SVD) on encrypted images. Simulation results show that dictionary learning can be performed on encrypted natural images. It is shown that compared to an image modeling with overcomplete DCT, the proposed method can efficiently extract sparse coefficients.
Keyword (in Japanese) (See Japanese page) 
(in English) Dictionary Learning / Sparse Coding / Image Modeling / Random Unitary Transform / Secure Computation / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 494, EMM2018-115, pp. 129-134, March 2019.
Paper # EMM2018-115 
Date of Issue 2019-03-06 (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 EMM2018-115

Conference Information
Committee EMM  
Conference Date 2019-03-13 - 2019-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) TBD 
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 2019-03-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image Patch Modeling using Secure Computation of Sparse Dictionary Learning 
Sub Title (in English)  
Keyword(1) Dictionary Learning  
Keyword(2) Sparse Coding  
Keyword(3) Image Modeling  
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 2019-03-14 11:30:00 
Presentation Time 25 
Registration for EMM 
Paper # IEICE-EMM2018-115 
Volume (vol) IEICE-118 
Number (no) no.494 
Page pp.129-134 
#Pages IEICE-6 
Date of Issue IEICE-EMM-2019-03-06 


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