[IPOL announce] new article: Forensic Similarity for Source Camera Model Comparison

[announcements about the IPOL journal]

A new article is available in IPOL: https://www.ipol.im/pub/art/2022/424/

Marina Gardella, and Pablo Musé,
Forensic Similarity for Source Camera Model Comparison,
Image Processing On Line, 12 (2022), pp. 480–489.
https://doi.org/10.5201/ipol.2022.424


Abstract
In the article 'Forensic Similarity for Digital Images', O. Mayer and M. 
C. Stamm introduce the forensic similarity approach, which aims at 
determining whether two image patches contain the same forensic traces 
or not. The proposed method is based on a feed-forward neural network 
which consists of two modules: a feature extraction module using a pair 
of CNNs in a siamese configuration, and a three-layer neural network 
that maps the extracted features into a similarity score. In this 
article, we explore the use of the forensic similarity score for source 
camera model comparison, as one of the possible applications of such an 
approach suggested by Mayer and Stamm.