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Intra mode selection for depth map coding to minimize rendering distortions in 3D video

机译:用于深度图编码的帧内模式选择可最大程度地减少3D视频中的渲染失真

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摘要

Depth Image Based Rendering (DIBR) is a technique that generates virtual views for multiview video applications from 3D video represented in color plus depth format. The depth map is not viewed by end users. However, it helps to generate different views as required by the application. Therefore, the depth maps need to be compressed in a way that it minimizes distortions in the rendered views. By doing so, it would be possible to generate high quality virtual views, using compressed depth maps. This paper presents two mode selection techniques based on genetic algorithms for encoding depth maps. In the proposed techniques, the encoding modes are decided so that the distortion in the rendered views is minimized. Simulation results illustrate that proposed techniques improve the objective quality of the rendered virtual views by up to 2 dB over the Lagrange Optimization based mode selection technique that considers the distortions only in the depth map.
机译:基于深度图像的渲染(DIBR)是一种技术,可从以颜色加深度格式表示的3D视频中为多视图视频应用程序生成虚拟视图。最终用户无法查看深度图。但是,它有助于根据应用程序生成不同的视图。因此,深度图需要以一种最小化渲染视图中变形的方式进行压缩。这样,可以使用压缩深度图生成高质量的虚拟视图。本文提出了两种基于遗传算法的深度图编码模式选择技术。在提出的技术中,确定编码模式,以使渲染视图中的失真最小化。仿真结果表明,与仅考虑深度图失真的基于拉格朗日优化的模式选择技术相比,所提出的技术可将渲染的虚拟视图的客观质量提高2 dB。

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