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Paper Abstract and Keywords
Presentation 2023-03-02 11:05
A Study of Word Lip-Reading using Meta Learning
Michinari Kodama, Takeshi Saitoh (kyutech) PRMU2022-77 IBISML2022-84
Abstract (in Japanese) (See Japanese page) 
(in English) Lip-reading technology, which estimates utterance content using only visual information, is a kind of supervised learning, and a large-scale data set is desired. However, collecting utterance scenes is costly. Therefore, in this paper, in order to reduce the collection cost, we consider a method that uses meta learning in the approach of learning with a small number of data. Recognition experiments were conducted using several meta learning methods such as ProtoNet and DeepBDC using three datasets: public datasets LRW and SSSD for lip-reading, and public action recognition dataset UCF101 for comparison. As a result, compared to UCF101, LRW and SSSD had lower recognition accuracy. In this paper, we report the experimental results.
Keyword (in Japanese) (See Japanese page) 
(in English) Few-shot learning / meta learning / lip-reading / word / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 404, PRMU2022-77, pp. 102-106, March 2023.
Paper # PRMU2022-77 
Date of Issue 2023-02-23 (PRMU, IBISML) 
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 PRMU2022-77 IBISML2022-84

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Future University Hakodate 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2023-03-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Word Lip-Reading using Meta Learning 
Sub Title (in English)  
Keyword(1) Few-shot learning  
Keyword(2) meta learning  
Keyword(3) lip-reading  
Keyword(4) word  
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1st Author's Name Michinari Kodama  
1st Author's Affiliation Kyushu Institute of Technology (kyutech)
2nd Author's Name Takeshi Saitoh  
2nd Author's Affiliation Kyushu Institute of Technology (kyutech)
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Speaker Author-1 
Date Time 2023-03-02 11:05:00 
Presentation Time 10 minutes 
Registration for PRMU 
Paper # PRMU2022-77, IBISML2022-84 
Volume (vol) vol.122 
Number (no) no.404(PRMU), no.405(IBISML) 
Page pp.102-106 
#Pages 5 
Date of Issue 2023-02-23 (PRMU, IBISML) 

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