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http://dx.doi.org/10.5909/JBE.2018.23.1.53

Helper Classification via Three Dimensional Visualization of Character-net  

Park, Seung-Bo (Inha University, Dept. of Software Convergence Engineering)
Jeon, Yoon Bae (Inha University, Dept. of Information and Communication Engineering)
Park, Juhyun (Inha University, Dept. of Information and Communication Engineering)
You, Eun Soon (Inha University, Artificial Intelligent Content Creation Research Center)
Publication Information
Journal of Broadcast Engineering / v.23, no.1, 2018 , pp. 53-62 More about this Journal
Abstract
It is necessary to analyze the character that are a key element of the story in order to analyze the story. Current character analysis methods such as Character-net and RoleNet are not sufficient to classify the roles of supporting characters by only analyzing the results of the final accumulated stories. It is necessary to study the time series analysis method according to the story progress in order to analyze the role of supporting characters rather than the accumulated story analysis method. In this paper, we propose a method to classify helpers as a mentor and a best friend through 3-D visualization of Character-net and evaluate the accuracy of the method. WebGL is used to configure the interface for 3D visualization so that anyone can see the results on the web browser. It is also proposed that rules to distinguish mentors and best friends and evaluated their performance. The results of the evaluation of 10 characters selected for 7 films confirms that they are 90% accurate.
Keywords
Character-net; visualization; helper classification; mentor; best friend;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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