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| video steganalysis exploiting motion vector reversion-based features | |
| Cao Yun; Zhao Xianfeng; Feng Dengguo | |
| 2012 | |
| Source | IEEE Signal Processing Letters
 |
| ISSN | 10709908 |
| Volume | 19Issue:1Pages:35-38 |
| English Abstract | 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. |
| Indexed Type | ei,sci |
| 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 |
| Subject | Engineering |
| Language | 英语 |
| WOS ID | WOS:000297583800006 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/14755 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 06081898.pdf（695KB） | 开放获取 | License | Application Full Text | |||
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