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Paper Abstract and Keywords
Presentation 2022-01-13 14:30
Image Compression and Progressive Retransmission Scheme on Edge Computing System for Image Data Reduction
Mutsuki Nakahara, Daisuke Hisano (Osaka Univ.), Mai Nishimura (OSX), Takayuki Nishio (Tokyo Tech.), Yoshitaka Ushiku (OSX), Kazuki Maruta (Tokyo Tech.), Yu Nakayama (Tokyo Univ. of Agriculture and Tech.) CS2021-69
Abstract (in Japanese) (See Japanese page) 
(in English) Edge computing has been getting attention due to reducing the data traffic in the backbone network. On the other hand, the access network between an edge server and user terminals will be congested since the amount of data traffic forwarded by user terminals has increased year by year. This paper proposes an image compression and progressive retransmission scheme for deep learning-based image recognition systems to reduce image traffic to suppress network congestion. The proposed scheme uses the entropy calculated by posterior probability distribution of a deep learning model. We control the image retransmission using the entropy as a pseudo-indicator of the image recognition accuracy at the edge server, we can reduce the traffic while maintaining image recognition accuracy. We implement the proposed scheme on the edge server and report the effect of the traffic reduction by the experimental demonstration.
Keyword (in Japanese) (See Japanese page) 
(in English) Edge computing / Deep learning / Image recognition / Image compression / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 319, CS2021-69, pp. 7-12, Jan. 2022.
Paper # CS2021-69 
Date of Issue 2022-01-06 (CS) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee OCS CS  
Conference Date 2022-01-13 - 2022-01-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Conference room 204A・B at KDDI Ishin-hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Core and metro system, Submarine telecommunications system, Optical access system and next generation PON, Ethernet, Optical Transport Network (OTN), Transmission monitoring and control, Design and tool for optical transmission system, Co-operation between optical and mobile, etc. 
Paper Information
Registration To CS 
Conference Code 2022-01-OCS-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image Compression and Progressive Retransmission Scheme on Edge Computing System for Image Data Reduction 
Sub Title (in English)  
Keyword(1) Edge computing  
Keyword(2) Deep learning  
Keyword(3) Image recognition  
Keyword(4) Image compression  
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1st Author's Name Mutsuki Nakahara  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Daisuke Hisano  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Mai Nishimura  
3rd Author's Affiliation OMRON SINICX Corporation (OSX)
4th Author's Name Takayuki Nishio  
4th Author's Affiliation Tokyo Institute of Technology (Tokyo Tech.)
5th Author's Name Yoshitaka Ushiku  
5th Author's Affiliation OMRON SINICX Corporation (OSX)
6th Author's Name Kazuki Maruta  
6th Author's Affiliation Tokyo Institute of Technology (Tokyo Tech.)
7th Author's Name Yu Nakayama  
7th Author's Affiliation Tokyo University of Agriculture and Technology (Tokyo Univ. of Agriculture and Tech.)
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Speaker Author-1 
Date Time 2022-01-13 14:30:00 
Presentation Time 25 minutes 
Registration for CS 
Paper # CS2021-69 
Volume (vol) vol.121 
Number (no) no.319 
Page pp.7-12 
#Pages
Date of Issue 2022-01-06 (CS) 


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