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首页> 外文期刊>IEEE Transactions on Consumer Electronics >Rate-distortion based reference viewpoints selection for multi-view video plus depth coding
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Rate-distortion based reference viewpoints selection for multi-view video plus depth coding

机译：用于多视点视频和深度编码的基于速率失真的参考视点选择

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摘要

For multi-view video plus depth (MVD) coding in 3D video (3DV) applications, texture videos and depth maps of a few reference viewpoints should be compressed and transmitted. The other intermediate virtual viewpoints are synthesized by depth-image-based rendering algorithm. The videos displayed for terminal users include the decoded reference viewpoints and the synthesized virtual viewpoints. Under a given bit rate constraint, how to choose the optimal reference viewpoints setting to obtain the best video quality of all display viewpoints is an important research issue. This paper proposes a rate distortion model based algorithm to obtain the optimal reference viewpoints selection. First, the impacts of the reference viewpoints setting on the entire quality of all display viewpoints is investigated, and then a quadratic distortion model for all display viewpoints is derived. Based on this distortion model, the optimal viewpoints selection problem is solved by computing a few model parameters. Experimental results demonstrate that the proposed distortion model estimates the actual distortion of all display viewpoints with high accuracy, and the proposed reference viewpoints selection method achieves almost the same rate distortion performance as compared to the full search method with a very low computational cost.
机译：对于3D视频（3DV）应用中的多视图视频加深度（MVD）编码，应压缩和传输一些参考视点的纹理视频和深度图。其他中间虚拟视点通过基于深度图像的渲染算法合成。为终端用户显示的视频包括解码后的参考视点和合成的虚拟视点。在给定的比特率约束下，如何选择最佳参考视点设置以获得所有显示视点的最佳视频质量是一个重要的研究课题。提出了一种基于速率失真模型的算法，以获得最优的参考视点选择。首先，研究参考视点设置对所有显示视点的整体质量的影响，然后导出所有显示视点的二次失真模型。基于该失真模型，通过计算一些模型参数来解决最佳视点选择问题。实验结果表明，所提出的失真模型能够高精度地估计所有显示视点的实际失真，并且所提出的参考视点选择方法与完全搜索方法相比具有几乎相同的速率失真性能，并且计算成本非常低。

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