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A rich model-based motion vector (MV) steganalysis benefiting from both temporal and spatial correlations of MVs is proposed in this paper. The proposed steganalysis method has a substantially superior detection accuracy than the previous methods, even the targeted ones. The improvement in detection accuracy lies in several novel approaches introduced in this paper. First, it is shown that there is...
We propose a spatio-temporal rich model of motion vector planes as a part of a full steganalytic system against motion vector based steganography. Superior detection accuracy of the rich model over the previous methods has been lately demonstrated for digital images in both spatial and DCT domain. It has not been heretofore used for detection of motion vector steganography. We also introduced a transformation...
This paper proposes a novel flatness measure for video steganalysis targeting LSB based motion vector steganography. The proposed method has introduced two major improvements. Firstly, unlike previous approaches, it takes into account the anchor frame and current frame distances and directions, which significantly affect the correlation strength of adjacent motion vectors. Secondly, it defines a cover...
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