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To decide whether a digital video has been captured by a given device,multimedia forensic tools usually exploit characteristic noise traces left bythe camera sensor on the acquired frames. This analysis requires that the noisepattern characterizing the camera and the noise pattern extracted from videoframes under analysis are geometrically aligned. However, in many practicalscenarios this does not occur, thus a re-alignment or synchronization has to beperformed. Current solutions often require time consuming search of therealignment transformation parameters. In this paper, we propose to overcomethis limitation by searching scaling and rotation parameters in the frequencydomain. The proposed algorithm tested on real videos from a well-knownstate-of-the-art dataset shows promising results.

A Modified Fourier-Mellin Approach for Source Device Identification on Stabilized Videos