Effect of Video Pixel-Binning on Source Attribution of Mixed Media
Samet Taspinar, Manoranjan Mohanty, Nasir D. Memon
Abstract
Photo Response Non-Uniformity (PRNU) noise obtained from images or videos is used as a camera fingerprint to attribute visual objects captured by a camera. The PRNU-based source attribution method, however, fails when there is misalignment between the fingerprint and the query object. One example of such a misalignment, which has been overlooked in the field, is caused by the in-camera resizing technique that a video may have been subjected to. This paper investigates the attribution of visual media in the context of matching a video query object to an image fingerprint or vice versa. Specifically this paper focuses on improving camera attribution performance by taking into account the effects of binning, a commonly used in-camera resizing technique applied to video. We experimentally show that the True Positive Rate (TPR) obtained when binning is considered is approximately 3% higher.
BibTeX
@inproceedings{icassp2021_effectofvideopix,
title = {Effect of Video Pixel-Binning on Source Attribution of Mixed Media},
author = {Samet Taspinar and Manoranjan Mohanty and Nasir D. Memon},
booktitle = {ICASSP 2021},
year = {2021}
}