Efficient prediction of uncovered background in interframe coding using spatial extrapolation

The focus of this paper is on prediction of uncovered background in moving video coding. A new algorithm for estimating the background texture of uncovered areas is proposed which exploits spatial correlation in addition to temporal correlation and motion information. The surrounding known background area is analysed and spatially extrapolated using a highly efficient spectral domain extrapolation algorithm. The method avoids inherent insufficiencies of conventional static background memories such as strong sensitivity to camera zoom and pan and it can be incorporated into any existing motion compensating coding concept. Several prediction results for typical moving image sequences demonstrate the applicability of the proposed concept