Using Sensor Noise to Identify Low Resolution Compressed Videos from YouTube

  • Wiger van Houten
  • Zeno Geradts
Conference paper

DOI: 10.1007/978-3-642-03521-0_10

Volume 5718 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
van Houten W., Geradts Z. (2009) Using Sensor Noise to Identify Low Resolution Compressed Videos from YouTube. In: Geradts Z.J.M.H., Franke K.Y., Veenman C.J. (eds) Computational Forensics. IWCF 2009. Lecture Notes in Computer Science, vol 5718. Springer, Berlin, Heidelberg

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.

Keywords

Photo Response Non Uniformity Video Camera Identification Pattern Noise Digital Forensics YouTube Low resolution MSN Messenger Windows Live Messenger 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Wiger van Houten
    • 1
  • Zeno Geradts
    • 1
  1. 1.Netherlands Forensic InstituteThe HagueThe Netherlands