Advertisement

A High Capacity HEVC Steganographic Algorithm Using Intra Prediction Modes in Multi-sized Prediction Blocks

  • Yi Dong
  • Tanfeng Sun
  • Xinghao JiangEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11378)

Abstract

The existing video steganographic schemes based on intra prediction modes for video coding standards H.264/AVC and HEVC all use single-sized blocks to embed the secret payload. Thus, the steganographic properties of HEVC multi-sized tree-structured intra partition still need exploration. In this paper, a novel video steganographic algorithm is presented. Base on the fact that visual quality degradation caused by steganography is basically the same for both large-sized Prediction Blocks (PBs) and small-sized PBs, this algorithm tries to exploit intra prediction modes in multi-sized PBs in each Coding Tree Units (CTU). The innovation of this paper includes: (1) Improvement in capacity without introducing great degradation in visual quality. (2) High coding efficiency maintained by defining cost function based on rate distortion. (3) A new indicator to measure Bit Increase Ratio(BIR) under different capacity. The Experimental results show that this algorithm outperforms the latest intra prediction modes based HEVC steganographic algorithm in both capacity and perceptibility while preserving coding efficiency as well.

Keywords

HEVC Intra prediction modes Video steganography 

Notes

Acknowledgement

This work is supported by the National Natural Science Foundation of China (No. 61572320, 61572321). Corresponding author is Professor Xinghao Jiang, any comments should be addressed to xhjiang@sjtu.edu.cn.

References

  1. 1.
    Aparna, R., Ajish, S.: A review on data hiding techniques in compressed video. Int. J. Comput. Appl. 134(13), 1–4 (2016)Google Scholar
  2. 2.
    Sullivan, G.J., Ohm, J.R., Han, W.J., Wiegand, T.: Overview of the high efficiency video coding (HEVC) standard. IEEE Trans. Circ. Syst. Video Technol. 22(12), 1649–1668 (2013)CrossRefGoogle Scholar
  3. 3.
    Chang, P.C., Chung, K.L., Chen, J., Lin, C.H., Lin, T.J.: A DCT/DST-based error propagation-free data hiding algorithm for HEVC intra-coded frames. J. Vis. Commun. Image Represent. 25(2), 239–253 (2014)CrossRefGoogle Scholar
  4. 4.
    Tew, Y., Wong, K.S.: Information hiding in HEVC standard using adaptive coding block size decision. In: IEEE International Conference on Image Processing, pp. 5502–5506. IEEE (2015)Google Scholar
  5. 5.
    Hu, Y., Zhang, C., Su, Y.: Information hiding based on intra prediction modes for H. 264/AVC. In: 2007 IEEE International Conference on Multimedia and Expo, pp. 1231–1234. IEEE (2007)Google Scholar
  6. 6.
    Yang, G., Li, J., He, Y.: An information hiding algorithm based on intra-prediction modes and matrix coding for H.264/AVC video stream. Int. J. Electron. Commun. 65(4), 331–337 (2011)CrossRefGoogle Scholar
  7. 7.
    Bouchama, S., Hamami, L., Aliane, H.: H. 264/AVC data hiding based on intra prediction modes for real-time applications. In: Proceedings of the World Congress on Engineering and Computer Science, vol. 2200, no. 1, pp. 655–658 (2012)Google Scholar
  8. 8.
    Zhang, L., Zhao, X.: An adaptive video steganography based on intra-prediction mode and cost assignment. In: Shi, Y.Q., Kim, H.J., Perez-Gonzalez, F., Liu, F. (eds.) IWDW 2016. LNCS, vol. 10082, pp. 518–532. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-53465-7_39CrossRefGoogle Scholar
  9. 9.
    Wang, J., Wang, R., Xu, D., Li, W., Yan, D.: An information hiding algorithm for HEVC based on intra prediction modes. J. Softw. 10(2), 213–221 (2015). https://go.galegroup.com/ps/i.do?p=AONE&sw=w&u=googlescholar&v=2.1&it=r&id=GALE%7CA461704620&sid=classroomWidget&asid=3346b4ef
  10. 10.
    Dong, Y., Jiang, X., Sun, T., Xu, D.: Coding efficiency preserving steganography based on HEVC steganographic channel model. In: Kraetzer, C., Shi, Y.-Q., Dittmann, J., Kim, H.J. (eds.) IWDW 2017. LNCS, vol. 10431, pp. 149–162. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-64185-0_12CrossRefGoogle Scholar
  11. 11.
    Filler, T., Judas, J., Fridrich, J.: Minimizing additive distortion in steganography using syndrome-trellis codes. IEEE Trans. Inf. Forensics Secur. 6(3), 920–935 (2011)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghaiChina
  2. 2.National Engineering Lab on Information Content Analysis TechniquesShanghaiChina

Personalised recommendations