姚远志,,
张晓雅,
张卫明,
俞能海
中国科学技术大学信息科学技术学院 合肥 230027
基金项目:国家自然科学基金(61802357, U1636201)，国家重点研发计划项目(2018YFB0804102)，中央高校基本科研业务费专项资金(WK3480000009)
详细信息
作者简介:李林聪：男，1996年生，博士生，研究方向为信息隐藏、深度学习
姚远志：男，1989年生，副研究员，研究方向为信息隐藏、视频编码
张晓雅：女，1998年生，硕士生，研究方向为信息隐藏、计算机视觉
张卫明：男，1976年生，教授，博士生导师，研究方向为信息隐藏、多媒体安全、隐私保护
俞能海：男，1964年生，教授，博士生导师，研究方向为图像视频处理与分析、计算机视觉与模式识别、信息隐藏与媒体内容安全、信息检索与数据挖掘
通讯作者:姚远志 yaoyz@ustc.edu.cn
中图分类号:TN918计量
文章访问数:931
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被引次数:0
出版历程
收稿日期:2020-01-02
修回日期:2020-08-04
网络出版日期:2020-08-12
刊出日期:2020-10-13
Video Steganography Based on Modification Probability Transformation and Non-additive Embedding Distortion
Lincong LI,Yuanzhi YAO,,
Xiaoya ZHANG,
Weiming ZHANG,
Nenghai YU
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)
摘要
摘要:近年来，基于运动矢量的视频隐写引起了信息隐藏领域研究者的广泛关注。许多视频隐写方法通过合理地对运动矢量定义加性嵌入失真函数获得了良好的性能，然而这些方法忽略了载体元素之间的相互嵌入影响。该文提出的利用非加性嵌入失真的视频隐写方法为运动矢量设计了可以反映相互嵌入影响的联合嵌入失真，并通过分解联合失真实现修改概率的转换，从而动态、合理地在运动矢量的水平分量和垂直分量分配秘密消息。实验结果表明，与使用加性嵌入失真方法相比，该方法能获得更好的安全性和率失真性能。
关键词:信息隐藏/
视频隐写/
运动矢量/
联合嵌入失真/
修改概率
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.
Key words:Information hiding/
Video steganography/
Motion vector/
Joint embedding distortion/
Modification probability
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