Skip to main content

Robust Frame and Text Extraction from Comic Books

  • Conference paper
Graphics Recognition. New Trends and Challenges (GREC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7423))

Included in the following conference series:

Abstract

Comic books constitute an important heritage in many countries. Nowadays, digitization allows to search directly from content instead of metadata only (e.g. album title or author name). Few studies have been done in this direction. Only frame and speech balloon extraction have been experimented in the case of simple page structure. In fact, the page structure depends on the author which is why many different structures and drawings exist. Despite the differences, drawings have a common characteristic because of design process: they are all surrounded by a black line. In this paper, we propose to rely on this particularity of comic books to automatically extract frame and text using a connected-component labeling analysis. The approach is compared with some existing methods found in the literature and results are presented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 72.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Arai, K., Tolle, H.: Method for automatic e-comic scene frame extraction for reading comic on mobile devices. In: Seventh International Conference on Information Technology: New Generations, ITNG, pp. 370–375. IEEE Computer Society, Washington, DC (2010)

    Google Scholar 

  2. Arai, K., Tolle, H.: Method for real time text extraction of digital manga comic. International Journal of Image Processing (IJIP) 4(6), 669–676 (2011)

    Google Scholar 

  3. CIBDI: Cité internationale de la bande dessinées et de l’image, http://www.citebd.org

  4. Cyb: La légende des Yaouanks. Studio Cyborga, Goven, France (2008)

    Google Scholar 

  5. Cyb: Bubblegôm. Studio Cyborga, Goven, France (2009)

    Google Scholar 

  6. Duda, R.O., Hart, P.E.: Use of the hough transformation to detect lines and curves in pictures. Commun. ACM 15, 11–15 (1972)

    Article  MATH  Google Scholar 

  7. Fletcher, L., Kasturi, R.: A robust algorithm for text string separation from mixed text/graphics images. IEEE Transactions on Pattern Analysis and Machine Intelligence 10(6), 910–918 (1988)

    Article  Google Scholar 

  8. Han, E., Kim, K., Yang, H., Jung, K.: Frame segmentation used mlp-based x-y recursive for mobile cartoon content. In: Proceedings of the 12th International Conference on Human-Computer Interaction: Intelligent Multimodal Interaction Environments, HCI 2007, pp. 872–881. Springer, Heidelberg (2007)

    Google Scholar 

  9. In, Y., Oie, T., Higuchi, M., Kawasaki, S., Koike, A., Murakami, H.: Fast frame decomposition and sorting by contour tracing for mobile phone comic images. Internatinal Journal of Systems Applications, Engineering and Development 5(2), 216–223 (2011)

    Google Scholar 

  10. Jolivet, O.: BostonPolice. Clair de Lune, Allauch (2010)

    Google Scholar 

  11. Khedekar, S., Ramanaprasad, V., Setlur, S., Govindaraju, V.: Text - image separation in devanagari documents. In: Proceedings of the Seventh International Conference on Document Analysis and Recognition, pp. 1265–1269 (August 2003)

    Google Scholar 

  12. Lamisseb: Les noeils Tome 1. Bac@BD, Valence, France (2011)

    Google Scholar 

  13. Ngo Ho, A.K., Burie, J.C., Ogier, J.M.: Comics page structure analysis based on automatic panel extraction. In: Nineth IAPR International Workshop on Graphics Recognition, GREC 2011, Seoul, Korea, September 15-16 (2011)

    Google Scholar 

  14. Ponsard, C., Fries, V.: An Accessible Viewer for Digital Comic Books. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2008. LNCS, vol. 5105, pp. 569–577. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  15. Pratt, K., Digital, W.: Digital image processing, 2nd edn. John Wiley & Sons, Inc., NY (1991)

    Google Scholar 

  16. Tanaka, T., Shoji, K., Toyama, F., Miyamichi, J.: Layout analysis of tree-structured scene frames in comic images. In: IJCAI 2007, pp. 2885–2890 (2007)

    Google Scholar 

  17. Tou, J., Gonzalez, R.: Pattern Recognition Principles. Addison-Wesley, USA (1974)

    MATH  Google Scholar 

  18. Yamada, M., Budiarto, R., Endo, M., Miyazaki, S.: Comic image decomposition for reading comics on cellular phones. IEICE Transactions 87-D(6), 1370–1376 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rigaud, C., Tsopze, N., Burie, JC., Ogier, JM. (2013). Robust Frame and Text Extraction from Comic Books. In: Kwon, YB., Ogier, JM. (eds) Graphics Recognition. New Trends and Challenges. GREC 2011. Lecture Notes in Computer Science, vol 7423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36824-0_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-36824-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36823-3

  • Online ISBN: 978-3-642-36824-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics