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Keep Calm and Don't Switch: About the Relationship Between Switches and Quality in HAS

机译:保持冷静,不要切换:关于交换机和质量之间的关系

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Video streaming has established itself as the main method to consume multimedia content on the Internet. The most widespread technique is HTTP Adaptive Streaming which is used by large video service platforms such as YouTube and Netflix. In order to guarantee a high QoE, different adaptation strategies have been developed that lead to different video playout patterns. While some strategies may be more aggressive than others and often adapt the video quality, it is not clear which strategy is the best. In this paper, we want to identify the trade-off between the average video quality and switches in the quality during playout. We do this with a user-centric view and try to optimize the adaptation depending on the user preference with a quadratic program. This work allows us to put existing and future video adaptation algorithms in perspective with respect to user preferences. Our results show that the video quality can already be increased greatly by allowing few switches while more switches lead to diminishing gains. This is a novel discovery that is important for user-centric QoE-management which is of high interest for ISPs and video service providers.
机译:视频流已建立自己作为在Internet上消耗多媒体内容的主要方法。最广泛的技术是HTTP自适应流,由大型视频服务平台(如youtube和Netflix)使用。为了保证高QoE,已经开发了不同的适应策略,从而导致不同的视频播出模式。虽然某些策略可能比其他策略更具侵略性,并且经常适应视频质量,但它不明确哪个策略是最好的。在本文中,我们希望在季后赛期间识别平均视频质量和质量之间的交换之间的权衡。我们通过以用户为中心的视图执行此操作,并根据具有二次程序的用户偏好,尝试优化适应。这项工作允许我们在用户偏好方面以透视验证现有和未来的视频适应算法。我们的结果表明,通过允许很少的开关可以大大增加视频质量,而在更多的开关导致收益递减时,则可以大大增加。这是一个新的发现,对用户以用户为中心的QoE管理,这对于ISP和视频服务提供商具有很高的兴趣。

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