Video content is routinely acquired and distributed in digital format. Therefore, it is customary to have the content encoded multiple times. In this paper we consider a processing chain of two coding steps and we propose a method that aims at identifying the type of codec used in the first step, by analyzing its coding-based footprints. The method relies on the fact that lossy coding is an almost idem-potent operation, i.e., re-encoding the reconstructed sequence with the same codec and coding parameters produces a sequence that is highly correlated with the input one. As a consequence, it is possible to analyze this sort of correlation to identify the first codec provided that the second codec does not introduce severe quality degradation. The proposed solution finds several applications in the field of multimedia forensics, e. g. to identify the device that generated the original video stream or detect collages of different sequences.

Video codec identification

BESTAGINI, PAOLO;MILANI, SIMONE;TAGLIASACCHI, MARCO;TUBARO, STEFANO
2012-01-01

Abstract

Video content is routinely acquired and distributed in digital format. Therefore, it is customary to have the content encoded multiple times. In this paper we consider a processing chain of two coding steps and we propose a method that aims at identifying the type of codec used in the first step, by analyzing its coding-based footprints. The method relies on the fact that lossy coding is an almost idem-potent operation, i.e., re-encoding the reconstructed sequence with the same codec and coding parameters produces a sequence that is highly correlated with the input one. As a consequence, it is possible to analyze this sort of correlation to identify the first codec provided that the second codec does not introduce severe quality degradation. The proposed solution finds several applications in the field of multimedia forensics, e. g. to identify the device that generated the original video stream or detect collages of different sequences.
2012
IEEE International Conference on Acoustics, Speech and Signal Processing
9781467300469
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/661622
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