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Paper Abstract and Keywords
Presentation 2024-01-25 16:00
Design of an Efficient Activity Classification Model Focusing on the Characteristics of Egocentric Videos
Kohei Baba, Kantaro Fujiwara (University of Tokyo), Gouhei Tanaka (Nagoya Institute of Technology) NLP2023-116 MICT2023-71 MBE2023-62
Abstract (in Japanese) (See Japanese page) 
(in English) There are situations where egocentric videos have to be processed on wearable devices with limited computational resources. In this study, we design a model for efficient activity classification with only one layer of training by incorporating reservoir computing, a fast machine learning method for time-series pattern recognition. We propose a method to separate entire scene dynamics and salient local motion. Also, we consider an aggregation method of reservoir states suitable for oscillating input, and show that those modifications improve the accuracy on a specific egocentric activity classification dataset.
Keyword (in Japanese) (See Japanese page) 
(in English) reservoir computing / video classification / egocentric videos / machine learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 354, NLP2023-116, pp. 153-157, Jan. 2024.
Paper # NLP2023-116 
Date of Issue 2024-01-17 (NLP, MICT, MBE) 
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)
Download PDF NLP2023-116 MICT2023-71 MBE2023-62

Conference Information
Committee NC MBE NLP MICT  
Conference Date 2024-01-24 - 2024-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Naruto University of Education 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC, MBE, MICT, NLP, etc. 
Paper Information
Registration To NLP 
Conference Code 2024-01-NC-MBE-NLP-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Design of an Efficient Activity Classification Model Focusing on the Characteristics of Egocentric Videos 
Sub Title (in English)  
Keyword(1) reservoir computing  
Keyword(2) video classification  
Keyword(3) egocentric videos  
Keyword(4) machine learning  
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1st Author's Name Kohei Baba  
1st Author's Affiliation University of Tokyo (University of Tokyo)
2nd Author's Name Kantaro Fujiwara  
2nd Author's Affiliation University of Tokyo (University of Tokyo)
3rd Author's Name Gouhei Tanaka  
3rd Author's Affiliation Nagoya Institute of Technology (Nagoya Institute of Technology)
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Speaker Author-1 
Date Time 2024-01-25 16:00:00 
Presentation Time 20 minutes 
Registration for NLP 
Paper # NLP2023-116, MICT2023-71, MBE2023-62 
Volume (vol) vol.123 
Number (no) no.354(NLP), no.355(MICT), no.356(MBE) 
Page pp.153-157 
#Pages 5 
Date of Issue 2024-01-17 (NLP, MICT, MBE) 

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