A fast CU Size Decision Algorithm for 3D-HEVC

Abstract

The emerging 3D-HEVC has achieved the highest coding efficiency but requires a very high computational complexity. To speed up the encoding process for the dependent texture views, we propose a fast CU depth range selection algorithm by jointly making use of the interview and temporal-spatial correlations. Firstly, adaptive correlation weights are proposed to predict coding unit(CU) depth range and skip some specific depth levels rarely used in independent view, the previous frame and neighboring CUs. Besides, a new early termination algorithm is proposed to further reduce the coding time. Experimental results demonstrate that the proposed method saves about 56% coding time on average compared to HTM with maintaining the similar video quality.