Knowledge-driven understanding of images in comic books

Christophe Rigaud, Clément Guérin, Dimosthenis Karatzas, Jean Christophe Burie, Jean Marc Ogier

Research output: Contribution to journalArticleResearchpeer-review

29 Citations (Scopus)


© 2015, Springer-Verlag Berlin Heidelberg. Document analysis is an active field of research, which can attain a complete understanding of the semantics of a given document. One example of the document understanding process is enabling a computer to identify the key elements of a comic book story and arrange them according to a predefined domain knowledge. In this study, we propose a knowledge-driven system that can interact with bottom-up and top-down information to progressively understand the content of a document. We model the comic book’s and the image processing domains knowledge for information consistency analysis. In addition, different image processing methods are improved or developed to extract panels, balloons, tails, texts, comic characters and their semantic relations in an unsupervised way.
Original languageEnglish
Pages (from-to)199-221
JournalInternational Journal on Document Analysis and Recognition
Issue number3
Publication statusPublished - 19 Sep 2015


  • Comics analysis
  • Document understanding
  • Expert system


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