  Photo Response Non-Uniformity (PRNU) is a camera imaging sensor imperfection
which has earned a great interest for source device attribution of digital
videos. A majority of recent researches about PRNU-based source device
attribution for digital videos do not take into consideration the effects of
video compression on the PRNU noise in video frames, but rather consider video
frames as isolated images of equal importance. As a result, these methods
perform poorly on re-compressed or low bit-rate videos. This paper proposes a
novel method for PRNU fingerprint estimation from video frames taking into
account the effects of video compression on the PRNU noise in these frames.
With this method, we aim to determine whether two videos from unknown sources
originate from the same device or not. Experimental results on a large set of
videos show that the method we propose is more effective than existing
frame-based methods that use either only I frames or all (I-B-P) frames,
especially on YouTube videos.
