An Intelligent Recommendation System for Animation Scriptwriters’ Education
Shang-Te Tsai 1 * , Ting-Cheng Chang 2, Yu-Feng Huang 3
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1 National Taiwan University of Science and Technology
2 Department of Information and Computer Engineering, Ningde Normal University, Ningee, Fujian, China
3 School of Journalism and Communication, Xiamen University, Xiamen, China
* Corresponding Author

Abstract

Producing an animation requires extensive labor, time, and money. Experienced directors and screenwriters are required to design scenes using standard props and actors in position. This study structurally analyzes the script and defines scenes, characters, positions, dialogue, etc., according to their dramatic attributes. These are entered into a model developed by this research, called animated behavior by understanding the script module (ABUSM), which implements a design for scenes, props, and role-related databases, producing a corresponding picture. Then, through mutual correspondence between attributes, data mining theories calculate a module for each character and its interactions related to other characters. Finally, these modules are rendered into animation. This demonstrates the relationships between behaviors through an animation demonstration system. Our research results will help nonprofessional theater animation designers, providing a reference for designing and modifying scripts through animated presentation until they are satisfactorily developed. This reduces the cost, time, and labor in recording a drama or producing an animation and can serve as a reference or training for nonprofessional screenwriters and script designers.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.12973/eurasia.2016.1502a

EURASIA J Math Sci Tech Ed, 2016 - Volume 12 Issue 5, pp. 1139-1151

Publication date: 16 Mar 2016

Article Views: 1162

Article Downloads: 621

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