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Multi-path selection for multiple description video streaming over overlay networks

机译:通过覆盖网络进行多描述视频流的多路径选择

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Real-time media distribution over the Internet poses several challenging problems due to its stringent delay/loss requirements and complex network dynamics. A promising approach to alleviate the severe impacts of these dynamics is to transmit the media over diverse paths. For such an environment, multiple description (MD) coding has been previously proposed to produce multiple independently decodable streams that are routed over partially link–disjoint (non-shared) paths for combatting bursty packet losses and error propagation. However, selecting these paths appropriately is fundamental to the success of MD streaming and path diversity. Hence, in this paper we develop models for MD streaming over multiple paths and based on these models we propose a multi-path selection method that chooses a set of paths maximizing the overall quality at the client under various constraints. The simulation results with MPEG-2 show that sizeable average peak signal-to-noise ratio (PSNR) improvements (ranging from 0.73 to 6.07 dB) can be achieved when the source video is streamed over intelligently selected multiple paths as opposed to over the shortest path or maximally link–disjoint paths. In addition to the PSNR improvement, end-users experience a more continual, i.e., uninterrupted, streaming quality. Our work also considers the architecture and mechanisms by which multi-path streaming can be accomplished over a conventional IP network.
机译:由于其严格的延迟/丢失要求和复杂的网络动态,通过Internet进行实时媒体分发会带来一些具有挑战性的问题。减轻这些动态性的严重影响的一种有前途的方法是通过多种途径传播媒体。在这种环境下,先前已经提出了多描述(MD)编码来产生多个可独立解码的流,这些流通过部分链路不相交(非共享)路径进行路由,以应对突发性分组丢失和错误传播。但是,正确选择这些路径是成功实现MD流和路径多样性的基础。因此,在本文中,我们开发了用于多路径MD流的模型,并基于这些模型,我们提出了一种多路径选择方法,该方法选择一组路径以在各种约束下最大化客户端的整体质量。 MPEG-2的仿真结果表明,当源视频通过智能选择的多条路径而不是最短路径进行流传输时,可以实现相当大的平均峰值信噪比(PSNR)改善(范围为0.73至6.07 dB)。路径或最大链接–不相交的路径。除了提高PSNR之外,最终用户还将体验到更连续的,即不间断的流传输质量。我们的工作还考虑了可以在常规IP网络上完成多路径流传输的体系结构和机制。

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