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Paper Abstract and Keywords
Presentation 2019-03-12 11:15
Application of image recognition technology for movie scene search
Yuya Iino, Meeko Kuwahara, Kazuya Ueki (Meisei Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Various methods can be considered for scene search, but in this paper we propose application of image recognition technology for movie scene search. After extracting an image per second from videos, we search a scene by using pre-trained models such as image captioning, object detection, and image classification to search a scene. The effectiveness of the recognition model was evaluated by calculating word2vec similarity between a query sentence and an output from pre-trained models and outputting ranking in ascending order.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep learning / Word2vec / Scene search / / / / /  
Reference Info. ITE Tech. Rep., vol. 43, no. 9, AIT2019-52, pp. 9-12, March 2019.
Paper #  
Date of Issue 2019-03-05 (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 2019-03-12 - 2019-03-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2019 
Paper Information
Registration To AS 
Conference Code 2019-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Application of image recognition technology for movie scene search 
Sub Title (in English)  
Keyword(1) Deep learning  
Keyword(2) Word2vec  
Keyword(3) Scene search  
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1st Author's Name Yuya Iino  
1st Author's Affiliation Meisei University (Meisei Univ.)
2nd Author's Name Meeko Kuwahara  
2nd Author's Affiliation Meisei University (Meisei Univ.)
3rd Author's Name Kazuya Ueki  
3rd Author's Affiliation Meisei University (Meisei Univ.)
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Speaker
Date Time 2019-03-12 11:15:00 
Presentation Time 15 
Registration for AS 
Paper # ITE-AIT2019-52 
Volume (vol) ITE-43 
Number (no) no.9 
Page pp.9-12 
#Pages ITE-4 
Date of Issue ITE-AIT-2019-03-05 


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