Content-based video copy detection based on motion vectors estimated using a lower frame rate

We propose a motion vector based Video Content Based Copy Detection (VCBCD) method. One of the signatures of a given video is motion vectors extracted from image sequences. However, when consecutive image frames are used they are not descriptive enough because most vectors are either too small or they appear to scatter in all directions. We calculate motion vectors in a lower frame rate than the actual frame rate of the video to overcome this problem. As a result we obtain large vectors and they represent a given video in a robust manner. We carry out experiments for various parameters and present the results.