Segmentation-free detection of comic panels

  • Authors:
  • Martin Stommel;Lena I. Merhej;Marion G. Müller

  • Affiliations:
  • Artificial Intelligence Group, Universität Bremen, Germany;Art, Art History and Visual Studies, Duke University, Durham, NC, USA,VisComX, Visual Communication and Expertise, Jacobs University Bremen, Germany;Mass Communication, School of Humanities & Social Sciences, Jacobs University Bremen, Germany

  • Venue:
  • ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
  • Year:
  • 2012

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Abstract

The detection of comic panels is a crucial funcionality in assistance systems for iconotextual media analysis. Most systems use recursive cuts based on image projections or background segmentation to find comic panels. Usually this limits the applicability to comics with white background and free space between the panels. In this paper, we introduce a set of new features that allow for a detection of panels by their outline instead of the separating space. Our method is therefore more tolerant against structured backgrounds.