Angular Weighted Prediction for Next-Generation Video Coding Standard

Yucheng Sun, Fangdong Chen, Li Wang, Shiliang Pu

Abstract: Weighted prediction plays an imperative role in the video coding methods but the traditional weighted process with fixed weight values is not satisfactory for coding of oblique edge regions of two objects. The existing methods consume much computational complexity in pixel-wise weight derivation which need to calculate the distance between each pixel position and partition line. In this paper, angular prediction is utilized to derive pixel level weight values which reuses the logic in intra prediction to simplify the complexity. To further improve the accuracy of prediction, a refinement process is introduced on the motion vectors used for weighted prediction. Experimental results show that the proposed AWP mode outperforms the existing methods, and can bring 0.9% bitrate saving in random access test and 2.0% bitrate saving in low delay B test, respectively.