Motion estimation and compensation for foveated video

Utilizing the nonuniform resolution property of the human visual system, foveated video can provide high visual quality relative to non-foveated video by allocating more bits to the central foveation area. In this paper, we present a motion estimation and compensation algorithm for foveated video and measure the performance using a new measure of visual fidelity termed foveal mean absolute distortion. The computation redundancy reduction is achieved by subsampling searching area dependent on the local bandwidth in the sense of Nyquist sampling criterion. In addition, we reduce motion compensated errors by increasing temporal correlation when single or multiple foveation points are added or subtracted.