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
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.
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