video steganalysis exploiting motion vector reversion-based features

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	video steganalysis exploiting motion vector reversion-based features
	Cao Yun ; Zhao Xianfeng ; Feng Dengguo
刊名	IEEE Signal Processing Letters
	2012
卷号	19 期号:1 页码:35-38
ISSN号	10709908
英文摘要	Unlike traditional image or video steganography in spatial/transform domain, motion vector (MV)-based methods target the internal dynamics of video compression and embed messages while performing motion estimation. However, we have noticed that some existing methods adopt nonoptimal selection rules and modify MVs in somewhat arbitrary manners which violate the encoding principles a lot. Aiming at these weaknesses, we design a calibration-based approach and propose MV reversion-based features for steganalysis. Experimental results demonstrate that the proposed features are very sensitive to the tendency of MV reversion during calibration and can be used to effectively detect some typical MV-based steganography even with low embedding rates. © 2011 IEEE.
学科主题	Engineering
收录类别	EI,SCI
语种	英语
WOS记录号	WOS:000297583800006
公开日期	2012-11-12
内容类型	期刊论文
源URL	[http://ir.iscas.ac.cn/handle/311060/14755]
专题	软件研究所_软件所图书馆_期刊论文
推荐引用方式 GB/T 7714	Cao Yun,Zhao Xianfeng,Feng Dengguo. video steganalysis exploiting motion vector reversion-based features[J]. IEEE Signal Processing Letters,2012,19(1):35-38.
APA	Cao Yun,Zhao Xianfeng,&Feng Dengguo.(2012).video steganalysis exploiting motion vector reversion-based features.IEEE Signal Processing Letters,19(1),35-38.
MLA	Cao Yun,et al."video steganalysis exploiting motion vector reversion-based features".IEEE Signal Processing Letters 19.1(2012):35-38.