Comic text detection using neural network approach

Frédéric Rayar, Seiichi Uchida

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

2 被引用数 (Scopus)

抄録

Text is a crucial element in comic books; hence text detection is a significant challenge in an endeavour to achieve comic processing. In this work, we study in what extent an off-the-shelf neural network approach for scene text detection can be used to perform comic text detection. Experiment on a public data set shows that such an approach allows to perform as well as methods of the literature, which is promising for building more accurate comic text detector in the future.

本文言語英語
ホスト出版物のタイトルMultiMedia Modeling - 25th International Conference, MMM 2019, Proceedings
編集者Benoit Huet, Ioannis Kompatsiaris, Stefanos Vrochidis, Vasileios Mezaris, Wen-Huang Cheng, Cathal Gurrin
出版社Springer Verlag
ページ672-683
ページ数12
ISBN(印刷版)9783030057152
DOI
出版ステータス出版済み - 1 1 2019
イベント25th International Conference on MultiMedia Modeling, MMM 2019 - Thessaloniki, ギリシャ
継続期間: 1 8 20191 11 2019

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)
11296 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他25th International Conference on MultiMedia Modeling, MMM 2019
Countryギリシャ
CityThessaloniki
Period1/8/191/11/19

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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引用スタイル