Video compression based on camera motion

Two classes of algorithms for modeling camera motion in video sequences captured by a camera are proposed. The first class can be applied in situations where there is no camera translation and the motion of camera can be adequately modeled by zoom, pan, and rotation parameters. The second class is more general in that it can be applied to situations where the camera is undergoing a translational motion, as well as a rotation and zoom and pan. The salient feature of both algorithms is that the camera motion is estimated using binary matching of the edges in successive frames. In doing so, it is shown that unlike local motion estimation, edge matching can be sufficient in estimating camera motion parameters