ROI based video streaming for 3D remote rendering

N. Tizon, Christina Moreno, M. Preda
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引用次数: 9

Abstract

This paper proposes a low computational method to perform ROI (Region Of Interest) based video encoding and adaptive streaming for remote rendering applications. The main objective of the proposed solution is to minimize the latency in the interactive loop even when facing poor transmission conditions. In order to do that, the knowledge of the depth map information provided by the rendering engine is exploited by the real-time video encoder to adapt the bitrate of the transmitted stream. Especially, thanks to an efficient coupling between the rendering and the video encoding stages, the macroblocks of each video frame are encoded with different quantization steps that follow an ROI partitioning. The details of this partitioning algorithm are provided as well with some implementation considerations. The simulation results demonstrate the benefit of our adaptive approach from the user experience point of view.
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基于ROI的3D远程渲染视频流
本文提出了一种基于感兴趣区域的视频编码和自适应流的低计算方法。所提出的解决方案的主要目标是即使面对较差的传输条件,也要最小化交互环路中的延迟。为了做到这一点,实时视频编码器利用渲染引擎提供的深度图信息来调整传输流的比特率。特别是,由于渲染和视频编码阶段之间的有效耦合,每个视频帧的宏块按照ROI划分用不同的量化步骤进行编码。本文还提供了这种分区算法的细节,以及一些实现注意事项。仿真结果从用户体验的角度证明了自适应方法的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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