Video steganography with perturbed motion estimation

Authors:
Yun Cao;Xianfeng Zhao;Dengguo Feng;Rennong Sheng
Affiliations:
State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, Beijing, P.R.China and Graduate University of Chinese Academy of Sciences, Beijing, P.R.China;State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, Beijing, P.R.China;State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, Beijing, P.R.China;Beijing Institute of Electronics Technology and Application, Beijing, P.R.China
Venue:
IH'11 Proceedings of the 13th international conference on Information hiding
Year:
2011

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Abstract

In this paper, we propose an adaptive video steganography tightly bound to video compression. Unlike traditional approaches utilizing spatial/transformed domain of images or raw videos which are vulnerable to certain existing steganalyzers, our approach targets the internal dynamics of video compression. Inspired by Fridrich et al's perturbed quantization (PQ) steganography, a technique called perturbed motion estimation (PME) is introduced to perform motion estimation and message hiding in one step. Intending to minimize the embedding impacts, the perturbations are optimized with the hope that these perturbations will be confused with normal estimation deviations. Experimental results show that, satisfactory levels of visual quality and security are achieved with adequate payloads.