Abstract: The Photo Response Non-Uniformity acts as a digital fingerprint that can be used to identify image sensors. This characteristic has been used in previous research to identify scanners, digital photo cameras and digital video cameras. In this paper we use a wavelet filter from Lukáš et al [1] to extract the PRNU patterns from multiply compressed low resolution video files originating from webcameras after they have been uploaded to YouTube. The video files were recorded with various resolutions, and the resulting video files were encoded with different codecs. Depending on video characteristics (e.g. codec quality settings, recording resolution), it is possible to correctly identify cameras based on these videos.

  publisher    = {Springer Verlag},
  author       = {Wiger van Houten and Zeno J. M H. Geradts},
  url          = {http://www.springerlink.com/content/kr6446115p044333/},
  series       = {Lecture Notes in Computer Science},
  booktitle    = {Computational Forensics, Third International Workshop, IWCF 2009, The Hague, Netherlands, August 2009, Proceedings},
  volume       = {LNCS 5718},
  year         = {2009},
  editor       = {Zeno J. Geradts and Katrin Y. Franke and Cor. J. Veenman},
  address      = {Berlin, Heidelberg},
  title        = {Using sensor noise to identify low resolution compressed videos from youtube},
  pages        = {104--115},