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首页> 外文期刊>IEEE transactions on network and service management >Client-Side QoE Management for SVC Video Streaming: An FSM Supported Design Approach
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Client-Side QoE Management for SVC Video Streaming: An FSM Supported Design Approach

机译:SVC视频流的客户端QoE管理:FSM支持的设计方法

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摘要

HTTP adaptive streaming (HAS) which provides the flexibility of video bit-rate adjustments, is becoming the de facto framework for live and on-demand video streaming services. The flexibility of HAS is further empowered by the scalable video coding (SVC) technique which allows low overhead quality upgradations of transmitted video segments. In this paper, we present a client-side finite-state machine (FSM) supported quality of experience (QoE) centric video bit-rate adaptation and management mechanism. The proposed strategy simultaneously manages three important QoE verticals: 1) providing stutter-free video viewing experience; 2) minimizing flickers in video outputs by controlling and smoothing the rates of encoding quality switches over time; and 3) maximizing aggregate video quality over a video playout session. Based on careful consideration of these QoE verticals, the management policy dynamically decides whether to download a new segment or upgrade the quality of an already downloaded segment in the playout buffer. We have implemented and evaluated the performance of our proposed framework in a multi-client SVC video steaming test-bed. Conducted experiments using real-world network traces reveal that the proposed strategy is able to outperform other state-of-the-art adaptive streaming techniques and deliver satisfactory QoE even in the face of highly varying channel conditions.
机译:提供视频比特率调整灵活性的HTTP自适应流(HAS)正在成为实时和点播视频流服务的实际框架。可伸缩视频编码(SVC)技术进一步增强了HAS的灵活性,该技术可实现传输视频段的低开销质量升级。在本文中,我们提出了一种客户端有限状态机(FSM)支持的以体验质量(QoE)为中心的视频比特率自适应和管理机制。拟议的策略同时管理三个重要的QoE垂直市场:1)提供无结实的视频观看体验; 2)通过控制和平滑随时间变化的编码质量切换速率,最大程度地减少视频输出中的闪烁;和3)在视频播放会话中最大程度地提高视频质量。基于对这些QoE垂直领域的仔细考虑,管理策略动态地决定是下载新片段还是升级播出缓冲区中已经下载的片段的质量。我们已经在多客户端SVC视频流测试床上实现并评估了我们提出的框架的性能。使用现实世界的网络轨迹进行的实验表明,所提出的策略能够胜过其他最新的自适应流技术,即使在信道条件变化很大的情况下,也能提供令人满意的QoE。

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