Computing rate-distortion optimized policies for streaming media with rich acknowledgments

Jacob Chakareski, B. Girod
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引用次数: 20

Abstract

We consider the problem of rate-distortion optimized streaming of packetized media over the Internet from a server to a client using rich acknowledgments. Instead of separately acknowledging each media packet as it arrives, the client periodically sends to the server a single acknowledgment packet, denoted rich acknowledgment, that contains information about all media packets that have arrived at the client by the time the rich acknowledgment is sent. Computing the optimal transmission policy for the server involves estimation of the probability that a single packet will be communicated in error as a function of the expected redundancy (or cost) used to communicate the packet. In this paper, we show how to compute this error-cost function, and thereby optimize the server's transmission policy, in this scenario.
计算具有丰富确认流媒体的率失真优化策略
我们考虑了使用富确认从服务器到客户端的互联网上的打包媒体流的率失真优化问题。客户机不是在每个媒体包到达时单独确认,而是周期性地向服务器发送单个确认包(称为富确认),其中包含有关在发送富确认时已到达客户机的所有媒体包的信息。计算服务器的最优传输策略包括估计单个数据包被错误传输的概率,作为用于通信数据包的预期冗余(或成本)的函数。在本文中,我们展示了在这种情况下如何计算这个错误代价函数,从而优化服务器的传输策略。
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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