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A DASH-based 3D multi-view video rate control system

机译:基于DASH的3D多视图视频速率控制系统

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In this paper, we propose a dynamic adaptive rate control system and its associated rate-distortion model for multiview 3D video transmission, which will improve the user's quality of experience in the face of varying network bandwidth. Our rate control system has been built on top of two state-of-the-art key technologies: High Efficiency Video coding (HEVC), and MPEG's Dynamic Adaptive Streaming over HTTP (DASH). We show how to prepare the content at the server side and present a policy for the client to choose content from the server based on our distortion model for views reconstruction. The proposed system is tested under different network conditions. We also provide a user-based test for subjective evaluation of the rendered views, to decide on the number of views and quality of each view to be encoded for a specific network condition. The results of our simulation and the subjective test show that our proposed rate control system for 3D multi-view video allows for the transmission of different bitstreams at a higher quality, compared to non-dynamic adaptive rate control, given network bandwidth fluctuations.
机译:在本文中,我们提出了一种用于多视图3D视频传输的动态自适应速率控制系统及其关联的速率失真模型,该模型将在面对变化的网络带宽的情况下提高用户的体验质量。我们的速率控制系统建立在两项最新的关键技术之上:高效视频编码(HEVC)和MPEG的HTTP动态自适应流(DASH)。我们展示了如何在服务器端准备内容,并提出了一种策略,供客户端根据我们的失真模型从服务器选择内容以进行视图重建。所建议的系统在不同的网络条件下进行了测试。我们还提供了基于用户的测试,可以对渲染的视图进行主观评估,从而确定视图的数量以及针对特定网络条件要编码的每个视图的质量。仿真和主观测试的结果表明,与非动态自适应速率控制相比,在给定的网络带宽波动的情况下,与非动态自适应速率控制相比,我们提出的3D多视图视频速率控制系统可以以更高的质量传输不同的比特流。

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