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提出了一种基于预测模式相关性的高效视频编码(HEVC)隐写检测方法。首先定义帧内预测模式相关性的概念;然后通过实验,分析隐写前后帧内4×4亮度块中35种帧内预测模式的相关性统计数据的变化情况;最后选择35个隐写前后变化较大的相关性数据构成视频特征,并利用支持向量机(SVM)分类器进行隐写检测。实验表明,本文检测方法的特征维数低,计算复杂度小,对修改帧内预测模式的隐写算法具有良好的检测效果。
A high efficiency video coding (HEVC) steganalysis method based on prediction mode correlation is proposed. Firstly, the concept of intra prediction mode correlation was defined. Then the correlation analysis of 35 intra prediction modes in 4 × 4 luma block before and after steganalysis was analyzed by experiments. Finally, 35 steganographic changes Larger correlation data forms the video features and steganalysis using Support Vector Machine (SVM) classifiers. Experiments show that the proposed method has low feature dimension and low computational complexity. It has a good detection effect on the steganographic algorithm which modifies the intra prediction mode.