Enhanced Homogeneous Motion Discovery Oriented Prediction for Key Intermediate Frames

Abstract

Conventional video compression systems use motion model to approximate the geometry of moving object boundaries. Motion model can be relieved from describing discontinuities in the underlying motion field, by employing motion hint that exploits the spatial structure of reference frames to infer appropriate boundaries for the future ones. However, estimation of highly accurate motion hint is computationally demanding, in particular for high resolution video sequences. Leveraging on the advantages of homogeneous motion discovery oriented prediction, in this paper, we propose to tune the intra-domain motion uniformity for B-frames as per the frame’s reference utility. Experimental results show an improved bit rate savings compared to the approach where no such selective tuning is enforced.