Rate–distortion optimization (RDO) is utilized to select the optimal coding parameters in multi-view video coding (MVC), which employs a Lagrange multiplier to balance the relationship between the distortion and the bitrate. In this paper, an efficient RDO method for the dependent view (DV) in multi-view video (MVV) is proposed based on inter-view dependency. First of all, by investigating the sources of the distortion in the DV, a new distortion model for the DV is established. In addition, based on the proposed distortion model, an efficient Lagrangian multiplier decision for B frame is proposed by considering the inter-view dependency. Finally, the optimized Lagrangian multiplier for P frame is designed using the scaling factor which is deduced to have a linear relationship with the disparity between I frame and P frame. Experiment results demonstrate that compared with the original HTM-16.0 encoder, the proposed overall method reduces 12.19% BD-rate for the DV on average, bringing 0.40 dB BD-PSNR gain.

率失真优化（RDO）用于选择多视图视频编码（MVC）中的最佳编码参数，该方法采用拉格朗日乘法器来平衡失真和比特率之间的关系。本文提出了一种基于视图间依赖的有效RDO方法，用于多视图视频（MVV）中的从属视图（DV）。首先，通过调查DV中的失真源，建立了DV的新失真模型。另外，基于提出的失真模型，通过考虑视图间的相关性，提出了一种有效的B帧拉格朗日乘子决策。最后，利用比例因子设计用于P帧的优化拉格朗日乘数，该比例因子被推导为与I帧和P帧之间的视差具有线性关系。