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video steganography with perturbed motion estimation
Cao Yun; Zhao Xianfeng; Feng Dengguo; Sheng Rennong
2011
Conference Name13th International Conference on Information Hiding, IH 2011
SourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages193-207
Conference Date18-May-20
Conference PlacePrague, Czech republic
Indexed TypeEI
Publish PlaceGermany
ISSN3029743
ISBN9783642241772
Department(1) State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (2) Graduate University, Chinese Academy of Sciences, Beijing 100049, China; (3) Beijing Institute of Electronics Technology and Application, Beijing 100091, China
English AbstractIn 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. © 2011 Springer-Verlag.
KeywordEstimation Image Compression Motion Estimation
SponsorshipEuropean Office of Aerospace Research and Development; Office of Naval Research; Digimarc Corporation; Technicolor
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/14203
Collection信息安全国家重点实验室
Recommended Citation
GB/T 7714
Cao Yun,Zhao Xianfeng,Feng Dengguo,et al. video steganography with perturbed motion estimation[C]. Germany,2011:193-207.
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