实时多描述和分层编码视频流与最优的多样化路由

A. Begen, Y. Altunbasak, Özlem Ergun, Mehmet A. Begen
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引用次数: 4

摘要

多重描述(MD)和分层编码(LC)是针对有损网络上的自适应鲁棒视频流提出的两种源编码方法。这两种方法都是通过在部分链路不相交的路径上传输生成的多个子比特流来提高流的质量。然而,获得的质量在很大程度上取决于介质特性、路径条件和应用要求。为了获得最高的质量,我们研究了MD流和LC流的最优多路径选择方法。在覆盖基础设施上运行的模拟显示,当视频在智能选择的多条路径上传输而不是在最短路径或最大链路不连接路径上传输时,峰值信噪比(PSNR)提高了9.0 - 12.5 dB。通过本文提出的路径选择方法,最终用户可以在进行流传输之前,根据给定的网络条件和应用需求,预估MD和LC流传输的期望质量,从而做出相应的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time multiple description and layered encoded video streaming with optimal diverse routing
Multiple description (MD) and layered coding (LC) are two source-coding approaches proposed for adaptive and robust video streaming over lossy networks. Both streaming methods aim to improve the streaming quality by transmitting the generated multiple sub-bitstreams over partially link-disjoint paths. However, the achieved qualities heavily depend on the media characteristics, path conditions and application requirements. In order to attain the highest quality, we study optimal multi-path selection methods for both MD and LC streaming. The simulations run over an overlay infrastructure show 9.0 - 12.5 dB peak signal-to-noise ratio (PSNR) improvement when the video is streamed over intelligently selected multiple paths instead of the shortest path or maximally link-disjoint paths. By the help of the proposed path selection methods, the end users estimate the expected qualities of MD and LC streaming for the given network conditions and application requirements prior to the streaming, which allows the users to make a choice accordingly.
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