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Invisible Graffiti on Your Buildings: Blind and Squaring-Proof Watermarking of Geographical Databases

  • Julien Lafaye
  • Jean Béguec
  • David Gross-Amblard
  • Anne Ruas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4605)

Abstract

Due to the ease of digital copy, watermarking is crucial to protect the intellectual property of rights owners. We propose an effective watermarking method for vectorial geographical databases, with the focus on the buildings layer. Embedded watermarks survive common geographical filters, including the essential squaring and simplification transformations, as well as deliberate removal attempts, e.g. by noise addition, cropping or over-watermarking. Robustness against the squaring transformation is not adressed by existing approaches. The impact on the quality of the datasets, defined as a composition of point accuracy and angular quality, is assessed through an extensive series of experiments. Our method is based on a quantization of the distance between the centroid of the building and its extremal vertex according to its orientation.

Keywords

Quality Loss Quantization Step Malicious User Watermark Method Minimum Bound Rectangle 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Julien Lafaye
    • 1
  • Jean Béguec
    • 1
    • 3
  • David Gross-Amblard
    • 1
    • 2
  • Anne Ruas
    • 3
  1. 1.Laboratoire CEDRIC, Spécialité Informatique – CC 432, Conservatoire national, des arts & métiers, 292 rue Saint Martin, 75141 PARIS Cedex 3France
  2. 2.Laboratoire LE2I, Université de Bourgogne, Faculté des Sciences Mirande, Aile de l’ingénieur, BP 47870 21078 DIJON CedexFrance
  3. 3.Laboratoire COGIT, Institut Géographique National (IGN), 2/4 Avenue Pasteur 94 165 SAINT MANDE CedexFrance

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