Collusion-resistant video fingerprinting based on temporal oscillation

Yu Tzu Lin*, Chun Hsiang Huang, Ja Ling Wu

*Corresponding author for this work

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


Most researches of collusion-resistant multimedia fingerprinting consider only the designing of the traceability code. In this paper, we not only discuss the traceability of the fingerprints, but also try to prevent collusion attacks by making the colluded version of the video useless. The proposed collusion-resistant video fingerprinting scheme embeds a curve fingerprint into the video by temporally oscillating the video frames. This curve is smooth enough so that the oscillation of the video is imperceptible. However, once the colluders average or copy-and-paste the video frames, the fluctuation of the video will be so severe that users will feel uncomfortable while watching the video. In addition, a shot-based fingerprinting is employed to embed a hierarchical traceability code to increase the collusion-resistance. Experimental results show good performances of the proposed scheme. That is, the proposed system not only can trace the colluders successfully, but also can discourage users from removing the traceability code by collusion attacks.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Number of pages4
Publication statusPublished - 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: 2008 Oct 122008 Oct 15

Publication series

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


Other2008 IEEE International Conference on Image Processing, ICIP 2008
Country/TerritoryUnited States
CitySan Diego, CA


  • Collusion-resistance
  • Fingerprinting
  • Traitor tracing

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


Dive into the research topics of 'Collusion-resistant video fingerprinting based on temporal oscillation'. Together they form a unique fingerprint.

Cite this