Depth map coding with distortion estimation of rendered view

Depth map coding with distortion estimation of rendered view
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DOI:
10.1117/12.839030
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发表时间:
2010-01
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通讯作者:
Woo-Shik Kim;Antonio Ortega;PoLin Lai;Dong Tian;C. Gomila
Woo-Shik Kim;Antonio Ortega;PoLin Lai;Dong Tian;C. Gomila
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其他
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作者:
Woo-Shik Kim;Antonio Ortega;PoLin Lai;Dong Tian;C. Gomila

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包括视频和对应的深度图两者的新数据格式(诸如多视图加深度(MVD))实现了新的视频应用,其中可以使用所传输/存储的视频视图(参考视图)和对应的深度图作为输入来生成中间视频视图(虚拟视图)。我们提出了一种基于新的失真度量的深度图编码方法,通过推导编码深度图和渲染视图中的失真之间的关系。在我们的实验中,我们使用基于H.264/AVC工具的编解码器,其中深度编码的率失真(RD)优化使用新的失真度量。我们的实验结果表明,所提出的方法的效率,编码增益高达1.6 dB的插值帧质量相比,使用相同的编码工具,但应用RD优化的基础上,传统的失真度量编码的深度图。
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.