Abstract:

With the popularity of graphics video editing software, it becomes more and more important to detect digital video forgeries. Based on the continuity of the contents between frames, a digital video forgeries detection method based on bidirectional motion vectors was proposed. By decoding bidirectional prediction video frames (B frames), the bidirectional motion vectors were exacted. Then the average value of the largest difference between each data object in the motion vector sequence and k-neighbors was regarded as the peak point, and by calculating the mean and standard deviation, the threshold was set adaptively to conduct peak detection, and thus the outliers were detected. Experimental results showed that this method could effectively implement the detection of the deletion and insertion tamping of video frame in the moving background.

Key words:  video tampering, bidirectional motion vector, outlier detection, temporal outlier