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High capacity video steganographic algorithm based on visual perception model

  • LIANG Hui ,
  • GUO Li ,
  • CHEN Yun-Bi
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  • Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230027, China

Received date: 2009-09-14

  Revised date: 2009-10-23

  Online published: 2010-01-15

Abstract

In order to provide large capacity of steganography and maintain a good visual quality of stego-video, a novel high capacity video steganographic algorithm based on visual perception model is presented. This algorithm integrates multi-parameter spatial contrast sensitivity function, contrast masking based on classification of DCT blocks, and motion attention. Then secret information is embedded under control of distortion masking measure of each DCT coefficient. Experimental results show that the new algorithm has ability to hide secret data of large capacity without noticeable distortion.

Cite this article

LIANG Hui , GUO Li , CHEN Yun-Bi . High capacity video steganographic algorithm based on visual perception model[J]. Journal of University of Chinese Academy of Sciences, 2010 , 27(1) : 55 -62 . DOI: 10.7523/j.issn.2095-6134.2010.1.008

References


[1] Pazarci M, Dipcin V. Data Embedding in scrambled digital video //Proceedings of the 8th IEEE International Symposium on Computers and Communication. Kemer-Antalya, Turkey: IEEE Computer Society, 2003: 498-503.

[2] Xu C Y, Ping X J. A steganographic algorithm in uncompressed video sequence based on difference between adjacent frames //Proceedings of the 4th International Conference on Image and Graphics. Chengdu, Sichuan, China: IEEE Computer Society, 2007: 297-302.

[3] Simitopoulos D, Tsaftaris S A, Boulgouris N V, et al. Compressed-domain video watermarking of MPEG streams //Proceedings of 2002 IEEE International Conference on Multimedia and Expo. Lusanne, Switzerland. 2002: 569-572.

[4] Fang D Y, Chang L W. Data hiding for digital video with phase of motion vector //Proceedings of 2006 IEEE International Symposium on Circuits and Systems. Island of Kos, Greece: IEEE Society Press, 2006: 1422-1425.

[5] Mobasseri B G, Marcinak M P. Watermarking of MPEG-2 video in compressed domain using VLC mapping //Proceedings of the 7th Workshop on Multimedia and Security. New York, NY, USA: ACM, 2005: 91-94.

[6] Xu C Y, Ping X J, Zhang T, et al . Steganography in digital video
[J]. Journal of Harbin Institute of Technology, 2006, 38: 744-752(in Chinese). 徐长勇, 平西建, 张 涛,等. 数字视频中的隐写术
[J]. 哈尔滨工业大学学报, 2006, 38: 744-752.

[7] Zhang X P, Wang S Z. Steganography using multiple-base notational system and human vision sensitivity
[J]. IEEE Signal Processing Letters, 2005, 12(1): 67-70.

[8] Jia Y T, Lin W S, Kassim A A. Estimating just-noticeable distortion for video
[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2006, 16(7): 820-829.

[9] Tang C W, Chen C H, Yu Y H,
et al. Visual sensitivity guided bit allocation for video coding
[J]. IEEE Transactions on Multimedia, 2006, 8(1): 11-18.

[10] Ma Y F, Hua X S, Lu L,
et al. A generic framework of user attention model and its application in video summarization
[J]. IEEE Transactions on Multimedia, 2005, 7(5): 907-919.

[11] Tang C W. Spatiotemporal visual considerations for video coding
[J]. IEEE Transactions on Multimedia, 2007, 9(2): 231-238.

[12] Tran T D. The BinDCT: Fast multiplierless approximation of the DCT . IEEE Signal Processing Letters, 2000, 7(6): 141-144.

[13] Barten P G J. Formula for the contrast sensitivity of the human eye //Proceedings of Image Quality and System Performance. San Jose, California, USA, SPIE, 2003, 5294: 231-238.

[14] Tong H H Y, Venetsanopoulos A N. A perceptual model for JPEG applications based on block classification, texture masking, and luminance masking //Proceedings of 1998 International Conference on Image Processing . Chicago, IL, USA: 1998, 3: 428-432.

[15] Norton R M. The double exponential distribution: Using calculus to find a maximum likelihood estimator
[J]. The American Statistician, 1984, 38(2): 135-136.

[16] The ASU video trace library . http://trace.eas.asu.edu/yuv/.

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