CAJ | 학술논문

针对同源视频序列的copy-move篡改方式，提出一种通过度量图像内容间的相关性，来实现对视频序列的copy-move篡改检测并恢复的方法。首先将视频帧内容转化为一系列连续的图像帧，对图像分块，提取每帧图像的8个特征矢量，再利用欧氏距离计算帧间相关性，并通过添加偏差矩阵构造动态偏差阈值，检测出copy-move 篡改序列且精确至帧，从而实现对视频序列的篡改检测与恢复。实验表明，该算法对同源视频序列的copy-move 篡改检测及恢复能够取得理想的效果。
침대동원시빈서렬적copy-move찬개방식，제출일충통과도량도상내용간적상관성，래실현대시빈서렬적copy-move찬개검측병회복적방법。수선장시빈정내용전화위일계렬련속적도상정，대도상분괴，제취매정도상적8개특정시량，재이용구씨거리계산정간상관성，병통과첨가편차구진구조동태편차역치，검측출copy-move 찬개서렬차정학지정，종이실현대시빈서렬적찬개검측여회복。실험표명，해산법대동원시빈서렬적copy-move 찬개검측급회복능구취득이상적효과。
With regard to the copy-move forgery of video frame sequence, this paper proposes a algorithm for video detection and recovery base on the correlation of the contents between frames. Firstly, the video frames are translated into a series of consecutive image frames, and by blocking the frame to extract eight dimensional feature vectors. With Euclidean distance computed the correlation between frames, a deviation matrix is import in the algorithm to reduce the false alarm rate. A threshold value is used to localize the modifications to a frame level and recover the original video. Experimental results show that this method can effectively detect the copy-move forgery of video frame sequence and video restoration.