MV-HEVC can efficiently compress multiview video data captured from different viewpoints. To achieve high coding efficiency, it consists of not only inter coding but also interview coding. The inter coding includes a motion estimation (ME) process that reduces temporal redundancies between consecutive frames, and the interview coding performs a disparity estimation (DE) that reduces interview redundancies between neighboring views. As a result, MV-HEVC needs high encoding complexity to perform both ME and DE. In order to reduce the complexity, this paper proposes an adaptive fractional ME and DE skipping method in a partitioned inter prediction unit (PU) mode, based on a result of a 2 N × 2 N inter PU coding. Experimental results show that the proposed method efficiently reduces the encoding complexity with negligible coding loss, compared to conventional methods.

MV-HEVC 可以有效地压缩从不同视点捕获的多视图视频数据。为了实现高编码效率，它不仅包括帧间编码，还包括采访编码。帧间编码包括减少连续帧之间的时间冗余的运动估计 (ME) 过程，而采访编码执行减少相邻视图之间的采访冗余的视差估计 (DE)。因此，MV-HEVC 需要高编码复杂度来执行 ME 和 DE。为了降低复杂度，本文基于2 N × 2 N 间PU编码的结果，提出了一种在分区间预测单元（PU）模式下的自适应分数ME和DE跳跃方法。实验结果表明，所提出的方法有效地降低了编码复杂度，而编码损失可以忽略不计，