Due to the limited storage capacity and network bandwidth, an efficient rate control (RC) algorithm becomes more and more critical for multi-view video coding (MVC). Based on inter-view dependency and spatio-temporal correlation, a novel bit allocation method for multi-view texture video coding is proposed in this article. Firstly, considering that the distortion in the base view (BV) is directly transmitted to the dependent view (DV) by inter-view skip mode, a joint multi-view RD model is built based on the inter-view dependency. Based on the proposed joint multi-view RD model, a precise power model is derived to represent the target bitrates relationship between the BV and the DV. Secondly, since the P frame in the DV (P-DV) is mainly predicted from the corresponding I frame in the BV (I-BV) by disparity compensated prediction (DCP), the constant proportional relationship between the ratio of the average bitrates of the P-DV to the corresponding I-BV and the ratio of the total bitrates of the DV to the BV is discovered. Based on this discovery, a novel linear model is developed to assign the target bitrates of the P-DV. Finally, considering the spatio-temporal correlation, a new parameter prediction method is proposed for the R-λ\lambda model in coding tree unit (CTU) level. Extensive experimental results show that the proposed overall method outperforms other state-of-the-art algorithms in terms of RD performance.

中文翻译：

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一种基于视点间相关性和时空相关性的多视点纹理视频编码比特分配方法


由于存储容量和网络带宽有限，有效的码率控制（RC）算法对于多视点视频编码（MVC）变得越来越重要。本文提出了一种基于视点间依赖性和时空相关性的多视点纹理视频编码比特分配方法。首先，考虑到基本视图（BV）中的失真通过视图间跳跃模式直接传输到从属视图（DV），基于视图间依赖性建立联合多视图RD模型。基于所提出的联合多视图RD模型，导出了精确的功率模型来表示BV和DV之间的目标比特率关系。其次，由于DV（P-DV）中的P帧主要是通过视差补偿预测（DCP）从BV（I-BV）中对应的I帧预测得到的，因此，发现P-DV与相应的I-BV以及DV与BV的总比特率之比。基于这一发现，开发了一种新颖的线性模型来分配 P-DV 的目标比特率。最后，考虑时空相关性，针对编码树单元（CTU）级别的R-λ\lambda模型提出了一种新的参数预测方法。大量的实验结果表明，所提出的整体方法在 RD 性能方面优于其他最先进的算法。