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The large capacity embedding algorithm for H.264/AVC intra-prediction mode video steganography based on linear block code over Z4

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Abstract

The H.264/AVC intra prediction video steganography based on (n,k) linear block code over ring Z4 is proposed by this paper. On the basis of (n,k) linear block code over Z4, the property of addition of abelian groups and multiplicative commutative semigroup are utilized to generate the steganography code. Lee distance of linear codes over ring Z4 is researched, and it makes the equation has unique solution. Furthermore, the optimal performance of the proposed code is proved. The code performance with high embedding rate whose upper bound of embedding rate is reached to 1.33bpp, and the code is applied to video steganography based on intra-prediction mode (IPM-based video steganography). It obtains better performances of security and anti-attack. The average distortion is decreased to 50% and the detection accuracy is decreased to 3-5% with identical embedding rate. Experimental results show that the performance of the proposed scheme is superior to those of the former IPM-based schemes.

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Acknowledgements

This work was supported by the National Science Foundation of China under Grant No.61702247, No.61571416 and No.41776204, and the Cooperation Fund of the University and Institutes of Chinese Academy of Sciences under No.Y55201RY00 and No.Y65201GY00, the Scientic Research Project of Beijing Municipal Educational Committee under grant No.KM201611232016.

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  1. The Faculty School of Computer and Communication Engineering, Liaoning Shihua University, Liaoning, 113001, China

    Lingyu Zhang

  2. The Faculty School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100093, China

    Deyuan Chen

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  1. Lingyu Zhang
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  2. Deyuan Chen
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Correspondence to Lingyu Zhang.

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Zhang, L., Chen, D. The large capacity embedding algorithm for H.264/AVC intra-prediction mode video steganography based on linear block code over Z4. Multimed Tools Appl 79, 12659–12677 (2020). https://doi.org/10.1007/s11042-019-08528-7

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