A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Assessing motion-coherency in video watermarking
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
Improving Video Steganalysis Using Temporal Correlation
IIH-MSP '07 Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) - Volume 01
Digital Video Steganalysis Exploiting Statistical Visibility in the Temporal Domain
IEEE Transactions on Information Forensics and Security
Motion vector based information hiding algorithm for H.264/AVC against motion vector steganalysis
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
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Steganalysis is the art of detecting the information hidden in the media using steganography. In this paper, a steganalytic method is proposed to detect information hidden in the motion vectors of video bit-streams. Based on the statistical analysis of relative properties, the feature classification technique is adopted to determine the existence of hidden messages. The Support Vector Machine (SVM) is used as the discriminator. The experimental results show that the proposed method can detect the hidden data effectively in motion-vector-based steganography algorithms.