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Macroblock Level Bits Allocation for Depth Maps in 3-D Video Coding

机译:3-D视频编码中深度图的宏块级位分配

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For 3-D videos, one commonly used representation method is texture videos plus depth maps for several selected viewpoints, whereas the other viewpoints are synthesized based on the available texture videos and depth maps with the depth-image-based rendering (DIBR) technique. As both the quality of the texture videos and depth maps will affect the quality of the synthesized views, bits allocation for the depth maps become indispensable. The existing bits allocation approaches are either inaccurate or requiring pre-encoding and analyzing in temporal dimension, making them unsuitable for the real-time applications. Motivated by the fact that different regions of the depth maps have different impacts on the synthesized image quality, a real-time macroblock level bits allocation approach is proposed, where different macroblocks of the depth maps are encoded with different quantization parameters and coding modes. As the bits allocation granularity is fine, the R-D performance of the proposed approach outperforms other bits allocation approaches significantly, while no additional pre-encoding delay is caused. Specifically, it can save more than 10 % overall bit rate comparing with Morvan's full search approach, while maintaining the same synthesized view quality.
机译:对于3-D视频,一种常用的表示方法是纹​​理视频加几个选定视点的深度图,而其他视点是使用基于深度图像的渲染(DIBR)技术基于可用的纹理视频和深度图来合成的。由于纹理视频和深度图的质量都会影响合成视图的质量,因此深度图的位分配变得必不可少。现有的比特分配方法要么不准确,要么需要在时间维度上进行预编码和分析,从而使其不适用于实时应用。基于深度图的不同区域对合成图像质量有不同影响的事实,提出了一种实时宏块级比特分配方法,其中深度图的不同宏块以不同的量化参数和编码模式进行编码。由于比特分配粒度很好,因此所提出的方法的R-D性能明显优于其他比特分配方法,而不会引起额外的预编码延迟。特别是,与Morvan的完整搜索方法相比,它可以节省10%以上的总比特率,同时保持相同的综合视图质量。

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