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Paper Abstract and Keywords
Presentation 2022-03-08 09:29
A scenario composition support system using force directed graph.
Yuki Endo, Kai Lenz, Masanori Kakimoto (TUT)
Abstract (in Japanese) (See Japanese page) 
(in English) In scenario production, it is necessary to grasp the information of the work in order to prevent the composition from collapsing or inconsistent when adding or correcting the information. There is a problem that the amount of information such as character correlation becomes enormous as the scenario progresses, making it difficult to manage. For the purpose of clarifying information between scenarios, we developed a scenario composition support system focusing on visualization of correlations using force directed graphs. The correlation of characters before and after the scenario can be visualized and edited on a Web browser.
Keyword (in Japanese) (See Japanese page) 
(in English) Scenario composition support / Visualization / Force directed graph / Correlation diagram / / / /  
Reference Info. ITE Tech. Rep., vol. 46, pp. 45-48, March 2022.
Paper #  
Date of Issue 2022-03-01 (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 2022-03-08 - 2022-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2022 
Paper Information
Registration To IIEEJ 
Conference Code 2022-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A scenario composition support system using force directed graph. 
Sub Title (in English)  
Keyword(1) Scenario composition support  
Keyword(2) Visualization  
Keyword(3) Force directed graph  
Keyword(4) Correlation diagram  
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1st Author's Name Yuki Endo  
1st Author's Affiliation Tokyo University of Technology (TUT)
2nd Author's Name Kai Lenz  
2nd Author's Affiliation Tokyo University of Technology (TUT)
3rd Author's Name Masanori Kakimoto  
3rd Author's Affiliation Tokyo University of Technology/Prometech CG Research (TUT)
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Speaker Author-1 
Date Time 2022-03-08 09:29:00 
Presentation Time 12 minutes 
Registration for IIEEJ 
Paper # AIT2022-49 
Volume (vol) vol.46 
Number (no) no.10 
Page pp.45-48 
#Pages
Date of Issue 2022-03-01 (AIT) 


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