Geometric derived motion vector for motion prediction in block-based video coding
Yucheng Sun, Lu Yu · 2017
Motion compensation plays an important role in inter picture prediction but the representation of motion vector (MV) is highly redundant. The existing motion model only selects the MVs of neighbor blocks as candidates even if they are very different from the MV of current block, which results in additional RD cost. In this paper, a geometric motion model is proposed to derive a geometric derived motion vector (GDMV) when an object has a relative movement that is close to or away from the camera. The proposed GDMV is integrated to HM 16.0 to further improve the motion prediction in HEVC. In order to ensure the accuracy of the motion vector predictor, a refining process is adopted before integrating the model into HEVC motion vector prediction. Experimental results show that compared to HM 16.0, the proposed GDMV can bring 0.14%~1.13% BD bitrate saving in low delay P main test.