Forensic characterization of camcorded movies: digital cinema vs. celluloid film prints

Rolland-Neviere, Xavier; Chupeau, Bertrand; Doerr, Gwenaël; Bouchet, L.

doi:10.1117/12.908346

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…where W is the number of pixels per row in a frame of the pirate sample p. Due to its horizontal nature, this operation attenuates the interference from the content while leaving the flicker signal untouched [14,1]. According to the model of the flicker given in Equation (1) To estimate ωt, we therefore record the radial frequency which maximizes the magnitude R[y * , ω] for any arbitrarily selected row y * .…”

Section: Flicker Phase Methodsmentioning

confidence: 99%

“…It is incarnated by typical dark/bright stripes that scroll up/down the pirate video. In prior work, research efforts have been dedicated to detect the presence of such flicker [13,14,11,3]. Indeed, this tell-tale artifact provides clues about the piracy path and can be exploited by the forensic analyst to select which watermark detector to use.…”

Section: Introductionmentioning

confidence: 98%

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Flicker Forensics for Pirate Device Identification

Hajj-Ahmad

Baudry

Chupeau

et al. 2015

Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security

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Cryptography-based content protection is an efficient means to protect multimedia content during transport. Nevertheless, content is eventually decrypted at rendering time, leaving it vulnerable to piracy e.g. using a camcorder to record movies displayed on an LCD screen. Such type of piracy naturally imprints a visible flicker signal in the pirate video due to the interplay between the rendering and acquisition devices. The parameters of such flicker are inherently tied to the characteristics of the pirate devices such as the backlight of the LCD screen and the read-out time of the camcorder. In this article, we introduce a forensic methodology to estimate such parameters by analyzing the flicker signal present in pirate recordings. Experimental results clearly showcase that the accuracy of these estimation techniques offers efficient means to tell-tale which devices have been used for piracy thanks to the variety of factory settings used by consumer electronics manufacturers. Figure 1: Flicker artifact when recording an LCD screen displaying a uniformly gray frame with a camcorder.

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Section: Flicker Phase Methodsmentioning

confidence: 99%