An Active Contour Model for Speech Balloon Detection in Comics
ICDAR-1(2013)
摘要
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 retargeting. 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.
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关键词
subsequent comic book understanding,novel approach,speech balloon detection,semantically important graphical,document understanding,important cultural heritage asset,non-closed speech balloon localization,scanned comic book page,comic book,active contour model,closed balloon localization,automatic comic book understanding,text analysis,image retrieval
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