A Platform to Extract Knowledge from Graphic Documents. Application to an Architectural Sketch Understanding Scenario

  • Gemma Sánchez
  • Ernest Valveny
  • Josep Lladós
  • Joan Mas
  • Narcís Lozano
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3163)

Abstract

This paper proposes a general architecture to extract knowledge from graphic documents. The architecture consists of three major components. First, a set of modules able to extract descriptors that, combined with domain-dependent knowledge and recognition strategies, allow to interpret a given graphical document. Second, a representation model based on a graph structure that allows to hierarchically represent the information of the document at different abstraction levels. Finally, the third component implements a calligraphic interface that allows the feedback between the user and the system. The second part of the paper describes an application scenario of the above platform. The scenario is a system for the interpretation of sketches of architectural plans. This is a tool to convert sketches to a CAD representation or to edit a given plan by a sketchy interface. The application scenario combines different symbol recognition algorithms stated in terms of document descriptors to extract building elements such as doors, windows, walls and furniture.

Keywords

Application Scenario Zernike Moment String Match Graphic Document Extract Knowledge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Clavier, E., Masini, G., Delalandre, M., Rigamonti, M., Tombre, K., Gardes, J.: Docmining: A cooperative platform for heterogeneous document interpretation according to user-defined scenarios. In: Proceedings of Fifth IAPRWorkshop on Graphics Recognition, Barcelona, Spain, pp. 21–32 (2003)Google Scholar
  2. 2.
    Lamiroy, B., Najman, L.: Scan-to-XML: Using software component algebra. In: Blostein, D., Kwon, Y.-B. (eds.) GREC 2001. LNCS, vol. 2390, p. 211. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  3. 3.
    Pridmore, T., Darwish, A., Elliman, D.: Interpreting line drawing images: A knowledge level perspective. In: Blostein, D., Kwon, Y.-B. (eds.) GREC 2001. LNCS, vol. 2390, pp. 245–255. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  4. 4.
    Gross, M.: The electronic cocktail napkin - working with diagrams. Design Studies 17, 53–69 (1996)CrossRefGoogle Scholar
  5. 5.
    Leclercq, P.: Absent sketch interface in architectual engineering. In: Lladós, J., Kwon, Y.-B. (eds.) GREC 2003. LNCS, vol. 3088, pp. 351–362. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  6. 6.
    Tombre, K., Ah-Soon, C., Dosch, P., Masini, G., Tabonne, S.: Stable and robust vectorization: How to make the right choices. In: Proceedings of Third IAPR Work. on Graphics Recognition, Jaipur, India, pp. 3–16 (1999)Google Scholar
  7. 7.
    Adam, S.: Interprétation de Documents Techniques: des Outils à leur Intégration dans un Système à Base de Connaissances. PhD thesis, Univeersite de Rouen-Mont Saint Aignan UFR de sciences et techniques (2001)Google Scholar
  8. 8.
    Belkasim, S., Shridar, M., Ahmadi, A.: Pattern recognition with moment invariants: A comparative study. Pattern Recognition 24, 1117–1138 (1991)CrossRefGoogle Scholar
  9. 9.
    Chen, D., Cheng, X.: Pattern Recognition and StringMatching. Kluwer Academic Publishers, Dordrecht (2002)Google Scholar
  10. 10.
    Logitech: IO digital pen (2004), www.logitech.com

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Gemma Sánchez
    • 1
  • Ernest Valveny
    • 1
  • Josep Lladós
    • 1
  • Joan Mas
    • 1
  • Narcís Lozano
    • 1
  1. 1.Computer Vision Center, Dept. InformàticaUniversitat Autònoma de BarcelonaBellaterra (Barcelona)Spain

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