Using Sensor Noise to Identify Low Resolution Compressed Videos from YouTube

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 Luk´aˇs 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.

• Type: Conference
• Year: 2009
• Where: IWCF
• Authors: Wiger van Houten, Zeno Geradts
• Keywords: Applied Computing, Digital Photo Cameras, Digital Video Cameras, IWCF 2009, Video files