Motion vector-based video steganalysis using spatial-temporal correlation

@article{Ye2013MotionVV,
  title={Motion vector-based video steganalysis using spatial-temporal correlation},
  author={Hui Ye and Weiming Zhang and Yuanzhi Yao and Cong Kong and Hao Tian Huang and Yu Nenghai},
  journal={2013 6th International Congress on Image and Signal Processing (CISP)},
  year={2013},
  volume={01},
  pages={148-153}
}
In current media-centric society, video has become the suitable cover for steganography. However, video steganalysis remains largely unexplored compared to the mature image steganalysis. One open problem is how to design efficient rich features for video steganalysis by exploiting the correlations in video. In this paper, we propose a novel video steganalytic scheme based on the spatial-temporal correlation of motion vectors. The proposed scheme employs 324-dimension features from Markov matrix… CONTINUE READING

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Spatio-temporal rich model for motion vector steganalysis

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2015

References

Publications referenced by this paper.
Showing 1-10 of 28 references

Video Steganography with Perturbed Motion Estimation

Information Hiding • 2011
View 15 Excerpts
Highly Influenced

Video Steganalysis Exploiting Motion Vector Reversion-Based Features

IEEE Signal Processing Letters • 2012
View 5 Excerpts
Highly Influenced

Steganography in Compressed Video Stream

First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06) • 2006
View 5 Excerpts
Highly Influenced

Ensemble Classifiers for Steganalysis of Digital Media

IEEE Transactions on Information Forensics and Security • 2012

Steganalysis of JPEG images using rich models

Media Watermarking, Security, and Forensics • 2012
View 2 Excerpts

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