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An active contour model for speech balloon detection in comics

Christophe Rigaud, Dimosthenis Karatzas, Joost Van de Weijer, Jean-Christophe Burie, Jean-Marc Ogier

Proceedings of International Conference of Document Analysis and Recognition (ICDAR), 2013

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Abstract

Comic books constitute an important cultural heritage asset in many countries. Digitization combined with subsequent comic book understanding would enable a variety of new applications, including content-based retrieval and content re- targeting. Document understanding in this domain is challenging as comics are semi-structured documents, combining semantically important graphical and textual parts. Few studies have been done in this direction. In this work we detail a novel approach for closed and non-closed speech balloon localization in scanned comic book pages, an essential step towards a fully automatic comic book understanding. The approach is compared with existing methods for closed balloon localization found in the literature and results are presented.

Citation BibTeX

@inproceedings{Rigaud2013ICDAR,
    title = {An active contour model for speech balloon detection in comics},
    author = {Rigaud, Christophe and Karatzas, Dimosthenis and Van de Weijer, Joost and Burie, Jean-Christophe and Ogier, Jean-Marc},
    booktitle = {Proceedings of the 12th International Conference on Document Analysis and Recognition (ICDAR)},
    pages = {1240-1244},
    year = {2013}
}

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