A geometrically-resilient SURF-based image fingerprinting scheme

Guillaume Gigaud, Pierre Moulin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traitor-tracing (aka fingerprinting) has received much attention as a possible solution for protecting media copyrights. However, all the current schemes for image and video lack robustness against geometric attacks. We propose a novel semi-blind algorithm that can cope with such attacks. The algorithm uses compressed SURF features as side information in order to estimate and invert the geometric attack. Moreover the algorithm is highly robust against cropping and additive white noise.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages3669-3672
Number of pages4
DOIs
StatePublished - Dec 1 2010
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: Sep 26 2010Sep 29 2010

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
CountryHong Kong
CityHong Kong
Period9/26/109/29/10

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Keywords

  • Copyright protection
  • Data compression
  • Feature extraction
  • Fingerprint identification
  • Image processing

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Gigaud, G., & Moulin, P. (2010). A geometrically-resilient SURF-based image fingerprinting scheme. In 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings (pp. 3669-3672). [5652507] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2010.5652507