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Multistreaming of 3-D Scenes With Optimized Transmission and Rendering Scalability

机译:具有优化的传输和渲染可扩展性的3-D场景的多数据流

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摘要

Three-dimensional (3D) graphic scenes require considerable network bandwidth to be transmitted and computing power to be rendered on a user''s terminal. Toward high-quality display in real time, we propose a sender-driven mechanism for streaming 3D scenes in a resource-constrained environment. In doing so, objects are encoded into multiresolutions to provide transmission and rendering scalability, and a weighted distortion metric is developed to measure the quality of a scene rendered with multiresolution objects, modeling objects'' unequal importance regarding display. To preserve the manipulation independency of multiple objects in data delivery while provide preferential treatment for different objects as well as different layers of each object, transmission of the objects is performed over multiple streams in a partially sequenced and partially reliable fashion. A rate-distortion optimization framework is developed, which determines an optimal level of reliability for every chunk of data in each stream, taking into account the rendering importance of the object, the distortion-rate performance of the data chunks, and the statistics of the network link. Compared with heuristical methods, simulation results show that the proposed framework maximizes the display quality of the scene while minimizing the amount of data that needs to be processed by the client''s rendering engine
机译:三维(3D)图形场景需要大量的网络带宽进行传输,并且需要在用户终端上呈现计算能力。为了实现高质量的实时显示,我们提出了一种由发送者驱动的机制,用于在资源受限的环境中流式传输3D场景。为此,将对象编码为多分辨率以提供传输和渲染可伸缩性,并开发了加权失真度量来测量使用多分辨率对象渲染的场景的质量,从而对对象的显示重要性进行建模。为了在数据传递中保持多个对象的操作独立性,同时为不同的对象以及每个对象的不同层提供优先处理,以部分顺序和部分可靠的方式在多个流上执行对象的传输。开发了一种速率失真优化框架,该框架考虑到对象的渲染重要性,数据块的失真率性能以及数据的统计信息,为每个流中的每个数据块确定了最佳的可靠性级别。网络链接。与启发式方法相比,仿真结果表明,提出的框架可最大程度地提高场景的显示质量,同时将客户端渲染引擎需要处理的数据量降至最少

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