ササキ カズオ
KAZUO SASAKI
佐々木 和郎 所属 メディア学部 メディア学科 職種 教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2020/05 |
形態種別 | 国際会議論文 |
査読 | 査読あり |
標題 | Automatic Generation of News Contents from Blog Posts |
執筆形態 | 共著 |
掲載誌名 | ADADA Electric Journal 2021 Volume25 |
掲載区分 | 国外 |
出版社・発行元 | ADADA |
著者・共著者 | Hayashi Masaki, Steven Bachelder, Tsuruta Naoya, Teraoka Takehiro, Kanematsu Yoshihisa, Sasaki Kazuo, KONDO Kunio |
概要 | To promote UGC (User Generated Content) on the Internet, several techniques have been developed to allow users to create CG animations only by writing scripts quickly. TVML (TV program Making Language) is a technology capable of obtaining TV-program-like CG animation by writing text scripts. This paper aims to propose an application that automatically converts blog posts into CG animations with news show format with the aid of TVML. The process is: 1) to fetch HTML of the blog posts and perform web scraping and natural language processing to obtain summarized speech texts, 2) to automatically give a show format received from the analysis of professional TV program to get TVML script, 3) to apply the CG character and artworks, etc. that fit the blog content to obtain the final CG animation. In this paper, we describe the process and explain the application that we developed based on the method and explain the evaluations of the outcome produced from the blog posts. |
論文(査読付)ファイル | DOWNLOAD |