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Paper Abstract and Keywords
Presentation 2021-03-08 13:30
Multiple scene search of movies from ambiguous memory
Yuya Iino, Ikuko Tsubaki (Tokyo University of Technology)
Abstract (in Japanese) (See Japanese page) 
(in English) It takes time to reach the content of the scene that the user wants to watch from the video, and the content is not always remembered. We propose a search method that allows users to find the scene they want to watch in a complex manner from multiple elements even if the user has an ambiguous memory from the movie. Using trained models such as Image Caption and object detection, search from multiple elements such as scene content (description) and character lines (subtitles), and present similar scenes that meet the conditions. As a similarity calculation method, it was calculated by the cosine similarity between vectors using word2vec. By using multiple search elements, the overall search accuracy (ranking) was improved.
Keyword (in Japanese) (See Japanese page) 
(in English) Scene search / Similarity / Words / / / / /  
Reference Info. ITE Tech. Rep., vol. 45, no. 8, AIT2021-100, pp. 237-240, March 2021.
Paper # AIT2021-100 
Date of Issue 2021-03-01 (AIT) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2021-03-08 - 2021-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2021 
Paper Information
Registration To AIT 
Conference Code 2021-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Multiple scene search of movies from ambiguous memory 
Sub Title (in English)  
Keyword(1) Scene search  
Keyword(2) Similarity  
Keyword(3) Words  
1st Author's Name Yuya Iino  
1st Author's Affiliation Tokyo University of Technology (Tokyo University of Technology)
2nd Author's Name Ikuko Tsubaki  
2nd Author's Affiliation Tokyo University of Technology (Tokyo University of Technology)
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Date Time 2021-03-08 13:30:00 
Presentation Time 75 
Registration for AIT 
Paper # ITE-AIT2021-100 
Volume (vol) ITE-45 
Number (no) no.8 
Page pp.237-240 
#Pages ITE-4 
Date of Issue ITE-AIT-2021-03-01 

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