Computational cartoonist: A comic-style video summarization system for anime films

Tsukasa Fukusato*, Tatsunori Hirai, Shunya Kawamura, Shigeo Morishima

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

This paper presents Computational Cartoonist, a comicstyle anime summarization system that detects key frame and generates comic layout automatically. In contract to previous studies, we define evaluation criteria based on the correspondence between anime films and original comics to determine whether the result of comic-style summarization is relevant. To detect key frame detection for anime films, the proposed system segments the input video into a series of basic temporal units, and computes frame importance using image characteristics such as motion. Subsequently, comic-style layouts are decided on the basis of pre-defined templates stored in a database. Several results demonstrate the efficiency of our key frame detection over previous methods by evaluating the matching accuracy between key frames and original comic panels.

本文言語English
ホスト出版物のタイトルMultiMedia Modeling - 22nd International Conference, MMM 2016, Proceedings
編集者Qi Tian, Richang Hong, Xueliang Liu, Nicu Sebe, Benoit Huet, Guo-Jun Qi
出版社Springer Verlag
ページ42-50
ページ数9
ISBN(印刷版)9783319276700
DOI
出版ステータスPublished - 2016
イベント22nd International Conference on MultiMedia Modeling, MMM 2016 - Miami, United States
継続期間: 2016 1月 42016 1月 6

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9516
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other22nd International Conference on MultiMedia Modeling, MMM 2016
国/地域United States
CityMiami
Period16/1/416/1/6

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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