Dec 6, 2016 · In this paper, we propose a novel clustering framework that is capable of addressing the NC ≫ SC problem without a training process. The ...
We present in this paper an algorithm that is capable of clustering images taken by an unknown number of unknown digital cameras into groups, such that each ...
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Jan 25, 2017 · Abstract—Practical applications of digital forensics are often faced with the challenge of grouping large-scale suspicious images.
This work presents an efficient algorithm for clustering images based on their camera fingerprints. The algorithm performs a fast preliminary clustering based ...
Large-scale image clustering based on camera fingerprints ... Practical applications of digital forensics are often faced with the challenge of grouping large- ...
Fingerprint. Dive into the research topics of 'Large-scale image clustering based on camera fingerprints'. Together they form a unique fingerprint.
Lin and C. T. Li, “Large-scale image clustering based on camera fin- gerprints,” IEEE Trans. on Information Forensics and Security, vol. 12, no. 4, pp. 793 ...
Reduced Complexity Image Clustering based on Camera Fingerprints. Sahib Khan ... Large-scale image clustering based on camera fingerprints,. IEEE Trans. Inf ...
Oct 18, 2018 · Abstract:Clustering images according to their acquisition devices is a well-known problem in multimedia forensics, which is typically faced ...
The paper presents a canopy based image clustering algorithm using normalized cross-correlation among the camera fingerprints as a decision criterion.