  This communication is about an application of image forensics where we use
camera sensor fingerprints to identify source camera (SCI: Source Camera
Identification) in webcam/smartphone videos. Sensor or camera fingerprints are
based on computing the intrinsic noise that is always present in this kind of
sensors due to manufacturing imperfections. This is an unavoidable
characteristic that links each sensor with its noise pattern. PRNU (Photo
Response Non-Uniformity) has become the default technique to compute a camera
fingerprint. There are many applications nowadays dealing with PRNU patterns
for camera identification using still images. In this work we focus on video,
first on webcam video and afterwards on smartphone video. Webcams and
smartphones are the most used video cameras nowadays. Three possible methods
for SCI are implemented and assessed in this work.
