基于带权值无向图的视频隐写分析

针对视频帧的时域特性，提出一种以帧间相关性构建带权值无向图的视频隐写分析方法。首先，分别计算待检测视频每帧亮度的灰度共生矩阵，把得出的8维特征作为该帧的特征向量。再以视频帧为节点，用帧间特征向量的欧氏距离作为节点间的权值，构造出表示帧间相关性的带权值无向图。根据嵌入信息后帧间相关性发生改变的特性来判断视频中是否有秘密信息嵌入。实验结果表明，用带权值无向图的方法可以快速准确地区分载密视频和原始视频，并且有较高的正确率。

Video steganalysis scheme based on weighted undirected graph

A new steganalysis scheme based on taking the inter-frame correlation as the undirected graph weights was proposed utilizing the temporal correlation among video frames. First, getting the eigenvector of every video frame brightness by calculating its gray-level co-occurrence matrix, the eigenvector is an eight-dimensional vector. Then, computing the weights of each video frame by using the euclide distance algorithm. The weighted undirected graph which representing the correlations between each frame is constructed. Finally, according to the change of correlations between the frames after embedding information determine whether the video is embedded confidential information. Experimental results show that the method using weighted undirected graph can quickly discriminate stego video and the original video, and have a high accuracy rate.