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A Buffer-Based Rate Adaptation Approach for Video Streaming Over HTTP

机译:基于缓冲区的基于速率的HTTP视频流自适应方法

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The demand for high quality multimedia streaming services has increased rapidly in the past decade. Sustaining this growth while maintaining the quality desired by the end users poses several challenges to the service providers. Perhaps the most important challenge is the fact that the underlying networks for these streaming services are fundamentally best-effort, and that all the attempts to offer an acceptable quality of experience (QoE) to the users were necessarily an afterthought. Nevertheless, some service providers have managed to offer very competitive streaming QoE thanks to the well-refined dynamic adaptive streaming over HTTP (DASH) technology. In this work, we propose a buffer-based streaming algorithm for dynamic adaptive video streaming over HTTP. The proposed algorithm aims at jointly reducing quality variations as well as playback interruptions by improving bandwidth utilization. This is done by maintaining the occupancy of the client playback buffer around a level that enables the streaming approach to absorb any possible undesirable network dynamics. Specifically, the client decides the segment bit rate by considering the variations in the video quality, buffered playback time in addition to bandwidth utilization. The simulation results show that the proposed system can maintain the playback process while gradually switching between the available video qualities while enhancing the bandwidth utilization.
机译:在过去的十年中,对高质量多媒体流服务的需求迅速增长。在保持这种增长的同时保持最终用户所需的质量给服务提供商带来了一些挑战。也许最重要的挑战是这些流媒体服务的基础网络从根本上是尽力而为的事实,并且为用户提供可接受的体验质量(QoE)的所有尝试都必然是事后的想法。但是,由于完善的HTTP动态自适应流(DASH)技术,一些服务提供商已经设法提供了非常有竞争力的流QoE。在这项工作中,我们提出了一种基于缓冲区的流传输算法,用于通过HTTP进行动态自适应视频流传输。所提出的算法旨在通过提高带宽利用率来共同减少质量差异以及回放中断。这是通过将客户端回放缓冲区的占用率保持在一定水平上来完成的,该水平使流传输方法能够吸收任何可能的不良网络动态。具体来说,客户端通过考虑视频质量的变化,缓冲的播放时间以及带宽利用率来确定分段比特率。仿真结果表明,所提出的系统可以在保持播放过程的同时,在可用视频质量之间逐步切换,同时提高了带宽利用率。

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