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Paper Abstract and Keywords
Presentation 2018-03-16 14:00
Annotation Assistant using Words Recognition for Building Japanese Sign Language Corpus
Natsuki Takayama, Hiroki Takahashi (UEC)
Abstract (in Japanese) (See Japanese page) 
(in English) Since building Japanese sign language corpus requires tedious work; which is collecting large scale of video data and annotating information, assistance is necessary. This paper describes one of the assistant methods for annotation tasks using Japanese sign language word recognition. The proposed words recognition is composed of body parts tracking, feature extraction, and words recognition. The recognition divides a video and annotates word labels automatically. Moreover, we apply the assistant method to a client-server system; which has interfaces for building Japanese sign language corpus. The system enables simultaneous work by many people. We build a video database of Japanese sign language words to evaluate the proposed method. The database includes 92 Japanese sign language words of 1380 videos which are signed by four deaf peoples. The paper reports evaluation results as 54.5% and 30.4% for words recognition accuracy and work reduction ratio of annotation tasks, respectively.
Keyword (in Japanese) (See Japanese page) 
(in English) Japanese sign language corpus / Japanese hand sign recognition / Corpus building assistant / Client-server system / / / /  
Reference Info. ITE Tech. Rep., vol. 42, pp. 83-86, March 2018.
Paper #  
Date of Issue 2018-03-09 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee AIT IIEEJ AS CG-ARTS  
Conference Date 2018-03-16 - 2018-03-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo University of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AS 
Conference Code 2018-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Annotation Assistant using Words Recognition for Building Japanese Sign Language Corpus 
Sub Title (in English)  
Keyword(1) Japanese sign language corpus  
Keyword(2) Japanese hand sign recognition  
Keyword(3) Corpus building assistant  
Keyword(4) Client-server system  
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1st Author's Name Natsuki Takayama  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Hiroki Takahashi  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2018-03-16 14:00:00 
Presentation Time 15 minutes 
Registration for AS 
Paper # AIT2018-65 
Volume (vol) vol.42 
Number (no) no.12 
Page pp.83-86 
#Pages
Date of Issue 2018-03-09 (AIT) 


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