Video Steganography Based on Modification Probability Transformation and Non-additive Embedding Distortion

Lincong LI; Yuanzhi YAO; Xiaoya ZHANG; Weiming ZHANG; Nenghai YU

doi:10.11999/JEIT200001

Volume 42 Issue 10

Oct. 2020

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Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(10): 2357-2364

Lincong LI, Yuanzhi YAO, Xiaoya ZHANG, Weiming ZHANG, Nenghai YU. Video Steganography Based on Modification Probability Transformation and Non-additive Embedding Distortion[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2357-2364. doi: 10.11999/JEIT200001

Citation:

Lincong LI, Yuanzhi YAO, Xiaoya ZHANG, Weiming ZHANG, Nenghai YU. Video Steganography Based on Modification Probability Transformation and Non-additive Embedding Distortion[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2357-2364. doi: 10.11999/JEIT200001

Citation:

Lincong LI, Yuanzhi YAO, Xiaoya ZHANG, Weiming ZHANG, Nenghai YU. Video Steganography Based on Modification Probability Transformation and Non-additive Embedding Distortion[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2357-2364. doi: 10.11999/JEIT200001

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Video Steganography Based on Modification Probability Transformation and Non-additive Embedding Distortion

doi: 10.11999/JEIT200001

School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China

Funds: The National Natural Science Foundation of China (61802357, U1636201), The National Key Research and Development Program of China (2018YFB0804102), The Fundamental Research Funds for the Central Universities (WK3480000009)

Received Date: 2020-01-02
Rev Recd Date: 2020-08-04

Available Online: 2020-08-12

Publish Date: 2020-10-13

Abstract

Abstract

In recent years, research on motion vector-based video steganography has attracted considerable attention from researchers in the field of information hiding. Many video steganographic methods incorporating motion vector-based additive embedding distortion functions have achieved good performance. However, the mutual embedding impact between cover elements in video steganography is neglected in these additive embedding distortion functions. In this paper, joint distortion which reflects the mutual embedding impact for motion vectors is designed. By decomposing joint embedding distortion, modification probability transformation can be achieved and embedding payloads can be dynamically and reasonably allocated in horizontal components and vertical components of motion vectors. Therefore, the video steganography method using non-additive embedding distortion is proposed. Experimental results demonstrate that the proposed method can enhance the security performance significantly compared with the typical methods using additive embedding distortions and obtain the relatively better video coding quality as well.
- Information hiding,
- Video steganography,
- Motion vector,
- Joint embedding distortion,
- Modification probability

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References(22)

References

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