A novel motion compensated prediction framework using weighted AMVP prediction for HEVC

摘要

In this paper, we propose a novel motion compensated prediction (MCP) framework which combines the properties of motion vector restriction and weighted advanced motion vector prediction (AMVP) to achieve higher prediction accuracy for High Efficiency Video Coding (HEVC). In our framework, motion vectors of the prediction units (PUs) surrounding the current PU are checked first by a motion field model, and the geometric relationship between motion vectors of the current PU and its neighboring coded PUs is analyzed. Then whether to use the weighted AMVP prediction method is determined by the motion vector restriction criterion. True motion vectors therefore can be obtained. Experimental results show that the proposed framework achieves BD-PSNR increments ranging from 0.03dB to 0.22dB and the BD-rate saving is up to 6.4%.