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首页> 外文期刊>Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic >Optimal bit allocation for multiview video plus depth coding based on view rendering distortion model
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Optimal bit allocation for multiview video plus depth coding based on view rendering distortion model

机译:基于视图渲染失真模型的多视图视频加深度编码的最优比特分配

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摘要

The depth map provide per-pixel with depth corresponding to the texture video that can be used to render arbitrary virtual views by using depth map based rendering (DIBR). Consequently, for the efficient transmission of 3D video signals, the compression of texture video and the corresponding depth map is required. Since the bit rate ratio between the texture video and depth map is still an open question, this paper introduces a novel bit allocation algorithm for texture video and depth map based on view rendering distortion model. Firstly, we derive relationship between distortion in coded texture/depth and the rendered view. Then, a novel distortion model is proposed to precisely estimate distortion in view synthesis. Based on this model, a bit allocation algorithm is proposed to optimize the bitrates between texture video and depth map for minimizing the view rendering distortion. Experimental results show the efficiency of the proposed distortion model, and that the proposed bit allocation algorithm can achieve the almost same rate-distortion (RD) performance as the full search algorithm while can significantly reduce the computational complexity. (C) 2015 Elsevier GmbH. All rights reserved.
机译:深度图为每个像素提供与纹理视频相对应的深度,可通过使用基于深度图的渲染(DIBR)来渲染任意虚拟视图。因此,为了有效地传输3D视频信号,需要对纹理视频和相应的深度图进行压缩。由于纹理视频和深度图之间的比特率比例仍然是一个悬而未决的问题,因此本文提出了一种基于视图渲染失真模型的纹理视频和深度图的比特分配算法。首先,我们得出编码的纹理/深度中的失真与渲染视图之间的关系。然后,提出了一种新颖的失真模型来精确估计视图合成中的失真。基于该模型,提出了一种位分配算法,以优化纹理视频和深度图之间的比特率,以最大程度地减少视图渲染失真。实验结果表明了所提出的失真模型的有效性,并且所提出的比特分配算法可以实现与全搜索算法几乎相同的速率失真(RD)性能,同时可以显着降低计算复杂度。 (C)2015 Elsevier GmbH。版权所有。

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