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Using Sensor Noise to Identify Low Resolution Compressed Videos from YouTube

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Computational Forensics (IWCF 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5718))

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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.

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Authors and Affiliations

  1. Netherlands Forensic Institute, Laan van Ypenburg 6, 2497, GB, The Hague, The Netherlands

    Wiger van Houten & Zeno Geradts

Authors
  1. Wiger van Houten
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  2. Zeno Geradts
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Editor information

Editors and Affiliations

  1. Netherlands Forensic Institute, The Hague, The Netherlands

    Zeno J. M. H. Geradts

  2. Norwegian Information Security Laboratory, Gjøvik University College, Norway

    Katrin Y. Franke

  3. Digital Technology & Biometrics Department, Netherlands Forensic Institute, The Hague, The Netherlands

    Cor J. Veenman

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© 2009 Springer-Verlag Berlin Heidelberg

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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. https://doi.org/10.1007/978-3-642-03521-0_10

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  • DOI: https://doi.org/10.1007/978-3-642-03521-0_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03520-3

  • Online ISBN: 978-3-642-03521-0

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