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Dynamic content-based adaptation of streamed multimedia

机译:动态基于内容的流式多媒体适配

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Most adaptive delivery mechanisms for streaming multimedia content do not explicitly consider user-perceived quality when making adaptation decisions. We show that an optimal adaptation trajectory (OAT) through the set of possible encodings exists, and that it indicates how to adapt encoding quality in response to changes in network conditions in order to maximise user-perceived quality. The OAT is related to the characteristics of the content, in terms of spatial and temporal complexity. We describe a method to automatically determine the OAT in response to the time-varying characteristics of the content. In this way, as the characteristics of the content change over time, the system can dynamically and intelligently adjust the adaptation process in order to maximise the user-perceived quality. The OAT can be used with any sender-based transmission adaptation policy. We demonstrate content-based adaptation using the OAT in a practical system using two different adaptation algorithms. Furthermore, we show how this form of adaptation can result in differing adaptation behaviour not only as a result of the dynamics of the content but also as a result of the adaptation algorithm being used. Finally, we show how increased feedback frequency does not necessarily improve the behaviour of the adaptation algorithm being used.
机译:在做出自适应决策时,大多数用于流媒体多媒体内容的自适应传递机制都没有明确考虑用户感知的质量。我们表明存在通过一组可能的编码的最佳自适应轨迹(OAT),并且它指示了如何响应于网络条件的变化来自适应编码质量,以使用户感知的质量最大化。就空间和时间复杂度而言,OAT与内容的特征有关。我们描述了一种根据内容的时变特性自动确定OAT的方法。这样,随着内容的特性随时间变化,系统可以动态地智能调整调整过程,以使用户感知的质量最大化。 OAT可以与任何基于发送方的传输自适应策略一起使用。我们在实际系统中使用两种不同的自适应算法演示了使用OAT进行基于内容的自适应。此外,我们展示了这种适应形式如何不仅由于内容的动态性而且还由于所采用的适应算法而导致不同的适应行为。最后,我们展示了如何增加反馈频率并不一定会改善所使用的自适应算法的性能。

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