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Depth Map Coding with Distortion Estimation of Rendered View

机译:深度映射编码呈现视图的失真估计

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New data formats that include both video and the corresponding depth maps, such as multiview plus depth (MVD), enable new video applications in which intermediate video views (virtual views) can be generated using the transmitted/stored video views (reference views) and the corresponding depth maps as inputs. We propose a depth map coding method based on a new distortion measurement by deriving relationships between distortions in coded depth map and rendered view. In our experiments we use a codec based on H.264/AVC tools, where the rate-distortion (RD) optimization for depth encoding makes use of the new distortion metric. Our experimental results show the efficiency of the proposed method, with coding gains of up to 1.6 dB in interpolated frame quality as compared to encoding the depth maps using the same coding tools but applying RD optimization based on conventional distortion metrics.
机译:包括视频和相应深度映射的新数据格式,例如MultiView Plus深度(MVD),使能够使用发送/存储的视频视图(参考视图)和数据来生成中间视频视图(虚拟视图)的新视频应用程序相应的深度映射为输入。我们提出了一种基于新的失真测量来提出一种深度图编码方法,通过在编码深度图和呈现视图中导出扭曲之间的关系。在我们的实验中,我们使用基于H.264 / AVC工具的编解码器,其中用于深度编码的速率 - 失真(RD)优化利用新的失真度量。我们的实验结果表明了所提出的方法的效率,与使用相同的编码工具进行编码的深度映射但是基于传统失真度量来编码深度图,编码帧质量的编码增益在内插帧质量上。

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