Browsing graphics without prior knowledge

  • Authors:
  • Daniel Zuwala;Jan Rendek

  • Affiliations:
  • LORIA-INPL, France;France Telecom R&D & LORIA BP 101

  • Venue:
  • ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
  • Year:
  • 2006

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Abstract

In this paper, we present a system to browse a set of graphical documents without prior knowledge of their content. This system relies on a new structural method locating regions potentially embedding a symbol, using an unsupervised reconstruction of the documents from their representation as chain of points. The method is complemented by a querying mechanism that retrieves from these regions those that are the most similar to a given input symbol. This mechanism uses a specific user feedback scheme to improve the accuracy of the retrieval.