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

机译:计算速率失真优化用于流媒体的富裕致密的策略

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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.
机译:我们考虑从Server到客户端的Internet通过Internet将分组媒体的速率失真优化流媒体问题的问题用于使用丰富的确认。客户端,而不是单独确认每个媒体数据包,客户端定期向服务器发送单个确认包,表示丰富的确认,其中包含在发送丰富的确认时已到达客户端已到达客户端的所有媒体数据包的信息。计算服务器的最佳传输策略涉及估计单个分组将以错误地传送的概率,作为用于传送分组的预期冗余(或成本)的函数。在本文中,我们展示了如何计算此错误成本函数,从而在此方案中优化服务器的传输策略。

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