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HEVC-based view level rate-distortion model for multiview video

机译:基于HEVC的多视角视频的视角水平率失真模型

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The multiview extension of HEVC (MV-HEVC) with an ever increasing number of coding parameters allows much better coding performance compared to the previous multiview video coding standards. Usually, controlling the various coding parameters in a video coding standard to obey the rate constraints in various applications is a major challenge. Rate Control Algorithms (RCA) is used in video coding standards to control the coding parameters to satisfy different rate constraints. Although RCA is not part of a video coding standard but the specific features or aspects of the video coding standard can improve its efficiency considerably. In this paper, we propose a method to investigate the effect of a new feature of MV-HEVC, namely Advanced Motion Vector Prediction (AMVP), to improve the efficiency of the corresponding rate control algorithm. Rate control algorithms usually utilize a rate-distortion (RD) model as a basic tool to describe the relationship between the rate and the quality of the encoded video. We will show that considering the aforementioned feature of MV-HEVC video coding standard as a view-level RD model parameter can improve the effectiveness of the RD model. Evaluation results indicate that using this new feature of MV-HEVC in view-level RD model, we can predict the rate of each view with relatively high precision and a low estimation error of 11% on average.
机译:与以前的多视图视频编码标准相比,HEVC的多视图扩展(MV-HEVC)具有不断增加的编码参数,可以提供更好的编码性能。通常,在视频编码标准中控制各种编码参数以遵守各种应用中的速率限制是主要的挑战。视频编码标准中使用了码率控制算法(RCA),以控制编码参数以满足不同的码率约束。尽管RCA不是视频编码标准的一部分,但视频编码标准的特定功能或方面可以大大提高其效率。在本文中,我们提出了一种方法来研究MV-HEVC的新功能,即高级运动矢量预测(AMVP)的效果,以提高相应速率控制算法的效率。速率控制算法通常将速率失真(RD)模型用作描述速率和编码视频质量之间关系的基本工具。我们将表明,将MV-HEVC视频编码标准的上述特征作为视图级RD模型参数可以提高RD模型的有效性。评估结果表明,在视图级RD模型中使用MV-HEVC的这一新功能,我们可以以相对较高的精度和平均11%的低估计误差来预测每个视图的速率。

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