  Methods that can determine if two given video sequences are captured by the
same device (e.g., mobile telephone or digital camera) can be used in many
forensics tasks. In this paper we refer to this as "video device matching". In
open-set video forensics scenarios it is easier to determine if two video
sequences were captured with the same device than identifying the specific
device. In this paper, we propose a technique for open-set video device
matching. Given two H.264 compressed video sequences, our method can determine
if they are captured by the same device, even if our method has never
encountered the device in training. We denote our proposed technique as H.264
Video Device Matching (H4VDM). H4VDM uses H.264 compression information
extracted from video sequences to make decisions. It is more robust against
artifacts that alter camera sensor fingerprints, and it can be used to analyze
relatively small fragments of the H.264 sequence. We trained and tested our
method on a publicly available video forensics dataset consisting of 35
devices, where our proposed method demonstrated good performance.

Computer Vision and Pattern Recognition;Multimedia