video steganalysis exploiting motion vector reversion-based features

ISCAS OpenIR

	video steganalysis exploiting motion vector reversion-based features
	Cao Yun; Zhao Xianfeng; Feng Dengguo
	2012
发表期刊	IEEE Signal Processing Letters
ISSN	10709908
卷号	19 期号:1 页码:35-38
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.
收录类别	ei,sci
部门归属	(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
学科领域	Engineering
语种	英语
WOS记录号	WOS:000297583800006
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/14755
专题	中国科学院软件研究所
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.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
06081898.pdf（695KB）			开放获取	使用许可	请求全文