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Communication Dans Un Congrès Année : 2014

Application of Grubbs' test for outliers do the detection of watermarks

Résumé

In an era when the protection of intellectual property rights becomes more and more important, providing robust and efficient watermarking techniques is crucial, both in terms of embedding and detection. In this paper, the authors specifically focus on the latter stage. Most often, the detection consists in the comparison of a fixed and non-adaptive decision threshold to a correlation coefficient. This threshold is usually determined either theoretically or experimentally. Here, it is proposed to apply Grubbs' test, a simple statistical test for outliers, to assess the presence of eventual detection peaks within the detection's correlation data. The proposed technique is applied to three algorithms from the literature. The obtained results show that Grubbs' test is efficient, robust and reliable. Above all, it automatically adapts to the searched watermark and can be easily applied to most types of watermarking approaches.
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Dates et versions

hal-00968698 , version 1 (01-04-2014)

Identifiants

  • HAL Id : hal-00968698 , version 1

Citer

Matthieu Urvoy, Florent Autrusseau. Application of Grubbs' test for outliers do the detection of watermarks. 2nd ACM Workshop on Information Hiding and Multimedia Security, Jun 2014, Salzburg, Austria. pp.49-60. ⟨hal-00968698⟩
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