• DocumentCode
    1058818
  • Title

    An Optimal Detector Structure for the Fourier Descriptors Domain Watermarking of 2D Vector Graphics

  • Author

    Doncel, Victor Rodriguez ; Nikolaidis, Nikos ; Pitas, Ioannis

  • Author_Institution
    Aristotle Univ. of Thessaloniki, Thessaloniki
  • Volume
    13
  • Issue
    5
  • fYear
    2007
  • Firstpage
    851
  • Lastpage
    863
  • Abstract
    Polygonal lines constitute a key graphical primitive in 2D vector graphics data. Thus, the ability to apply a digital watermark to such an entity would enable the watermarking of cartoons, drawings, and geographical information systems (GIS) data in vector graphics format. This paper builds on and extends an existing algorithm that achieves polygonal line watermarking by modifying the Fourier descriptors magnitude in an imperceptible way. Watermarks embedded by this technique can be detected in rotated, translated, scaled, or reflected polygonal lines. The detection of such watermarks had been previously carried out through a correlator detector. In this paper, analysis of the statistics of the Fourier descriptors is exploited to devise an optimal blind detector. Furthermore, the problem of watermarking multiple lines, as well as other implementation issues are being addressed. Experimental results verify the imperceptibility and robustness of the proposed method.
  • Keywords
    Fourier transforms; computational geometry; computer graphics; watermarking; 2D vector graphics; Fourier descriptor domain watermarking; digital watermarking; geographical information system; optimal blind detector; optimal detector structure; polygonal line watermarking; vector graphics format; Computer graphics; Copyright protection; Detectors; Geographic Information Systems; Information systems; Law; Legal factors; Robustness; Signal processing; Watermarking; 2D vector graphics; Fourier descriptors; Watermarking; digital rights management; Algorithms; Computer Graphics; Computer Security; Data Compression; Fourier Analysis; Image Interpretation, Computer-Assisted; Patents as Topic; Pattern Recognition, Automated; Product Labeling; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2007.1050
  • Filename
    4276072