Confidence Weighting for Sensor Fingerprinting
Abstract
The use of photo-response non-uniformity (PRNU) has been proposed as the basis of a sensor fingerprint for common source camera identification. We perform tests of the PRNU-based fingerprint on a set of videos chosen to represent a wide range of potential inputs. Based on the results of these tests, we propose a confidence weighting scheme to address the problem of extracting a viable fingerprint from videos where high-frequency content (e.g. edges) persist at a given image location. We further show that the extended PRNU estimation algorithm with confidence weighting has improved performance on such problematic videos.
Cite
Text
McCloskey. "Confidence Weighting for Sensor Fingerprinting." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4562986Markdown
[McCloskey. "Confidence Weighting for Sensor Fingerprinting." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/mccloskey2008cvprw-confidence/) doi:10.1109/CVPRW.2008.4562986BibTeX
@inproceedings{mccloskey2008cvprw-confidence,
title = {{Confidence Weighting for Sensor Fingerprinting}},
author = {McCloskey, Scott},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2008},
pages = {1-6},
doi = {10.1109/CVPRW.2008.4562986},
url = {https://mlanthology.org/cvprw/2008/mccloskey2008cvprw-confidence/}
}