Foveate wavelet transform for camera motion recovery from videos

In this paper, a new variable resolution technique, foveate wavelet transform (FWT), is proposed to represent video frames in order to reduce the bandwidth storage requirement through emulating the animate visual systems. As its application, an FWT-based method purporting to recover camera motions from video clips is developed. With this method, the motion vectors are first estimated for the FWT representation of each frame using a foveate two-pass algorithm. The camera motions, namely, pan, tilt, zoom, and a mixture of them, are then recovered based on the behaviors of the dense motion fields. Encouraging experimental results have been witnessed.