PRNU Based Source Camera Identification for Webcam and Smartphone Videos
Fernando Mart\'in-Rodr\'iguez, Fernando Isasi-de-Vicente

TL;DR
This paper explores using PRNU sensor noise patterns to identify the source camera in webcam and smartphone videos, extending existing image forensics techniques to video analysis.
Contribution
It introduces and evaluates three methods for source camera identification in videos, focusing on webcam and smartphone devices, which are less studied than still images.
Findings
PRNU-based methods can effectively identify camera sources in videos
Three different SCI methods are assessed for accuracy and robustness
Webcam and smartphone videos can be reliably linked to their source cameras
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDigital Media Forensic Detection · Advanced Steganography and Watermarking Techniques · Anomaly Detection Techniques and Applications
