Motion Vector-Based Video Steganalysis Using Spatial-Temporal Correlation

被引：0

作者：

Ye, Hui ^{[1
]}

Zhang, Weiming ^{[1
]}

Yao, Yuanzhi ^{[1
]}

Kong, Cong ^{[1
]}

Huang, Hao ^{[1
]}

Yu, Nenghai ^{[1
]}

机构：

[1] Univ Sci & Technol China, Sch Informat Sci & Technol, Hefei 230027, Peoples R China

来源：

2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3 | 2013年

关键词：

Motion vector; Markov matrix; video steganalysis; spatial-temporal correlation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In current media-centric society, video has become the suitable cover for steganography. However, video steganalysis remains largely unexplored compared to the mature image steganalysis. One open problem is how to design efficient rich features for video steganalysis by exploiting the correlations in video. In this paper, we propose a novel video steganalytic scheme based on the spatial-temporal correlation of motion vectors. The proposed scheme employs 324-dimension features from Markov matrix of motion vectors in each sliding window constituting of eight inter-coded frames without overlapping. Experimental results show that our proposed scheme performs better in detecting existing motion vector-based steganographic methods than previous related steganalysis schemes.

引用

页码：148 / 153

页数：6

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