Gradient-based residual variance modeling and its applications to motion-compensated video coding.

Abstract

This paper analyzes the relationship between the residual frame and the previous frame in motion-compensated video coding. It is found that the variance of the residual signal depends on the gradient magnitude. On average, the variance of the residual signal is larger for pixels with larger gradient magnitude. Two applications of this analysis are presented. In the first one, the relationship between the residual signal variance and the gradient magnitude is used to model the second-order statistics of the residual field in a nonstationary way. This modeling enables more efficient residual signal coding. The other application is for pixel decimation-based fast block matching. It is proposed that pixels with the largest gradient magnitude in a block be chosen to participate in the block matching process. It is demonstrated that such a gradient-adaptive subsampling achieves great advantage over two other known subsampling methods.