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Segmentation-Free Detection of Comic Panels

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Computer Vision and Graphics (ICCVG 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7594))

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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.

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Author information

Authors and Affiliations

  1. Artificial Intelligence Group, Universität Bremen, Germany

    Martin Stommel

  2. Art, Art History and Visual Studies, Duke University, Durham, NC, USA

    Lena I. Merhej

  3. VisComX, Visual Communication and Expertise, Jacobs University Bremen, Germany

    Lena I. Merhej

  4. Mass Communication, School of Humanities & Social Sciences, Jacobs University Bremen, Germany

    Marion G. Müller

Authors
  1. Martin Stommel
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  2. Lena I. Merhej
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  3. Marion G. Müller
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa, 02-008, Warsaw, Poland

    Leonard Bolc

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences (SGGW), Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008, Warszawa, Poland

    Konrad Wojciechowski

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© 2012 Springer-Verlag Berlin Heidelberg

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Stommel, M., Merhej, L.I., Müller, M.G. (2012). Segmentation-Free Detection of Comic Panels. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2012. Lecture Notes in Computer Science, vol 7594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33564-8_76

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  • DOI: https://doi.org/10.1007/978-3-642-33564-8_76

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33563-1

  • Online ISBN: 978-3-642-33564-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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