一种拥塞感知视频质量控制机制

Tuan Tran Thai, Nesrine Changuel, S. Kerboeuf, Frédéric Faucheux, E. Lochin, J. Lacan
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引用次数: 6

摘要

随着多媒体流量的不断增加,似乎有必要允许传输协议了解传输流的视频质量而不是吞吐量。本文提出了一种适应视频流的新型传输机制。我们的提议被称为QAIMD,即视频质量AIMD(加性增加乘性减少),它在传输多个视频流时实现了视频质量的公平性。以视频质量公平为目标可以提高所有传输流的整体视频质量,特别是当传输的视频提供不同空间分辨率的各种类型的内容时。此外,QAIMD减轻了网络拥塞事件的发生,并通过降低视频质量从而降低比特率来消除拥塞。使用不同的视频质量指标,用不同的视频内容和空间分辨率对Q-AIMD进行评估。仿真结果表明,与基于吞吐量的拥塞控制相比,Q-AIMD可以显著降低多个传输视频流之间的质量差异,从而提高多个传输视频流之间的整体视频质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Q-AIMD: A Congestion Aware Video Quality Control Mechanism
Following the constant increase of the multimedia traffic, it seems necessary to allow transport protocols to be aware of the video quality of the transmitted flows rather than the throughput. This paper proposes a novel transport mechanism adapted to video flows. Our proposal, called QAIMD for video quality AIMD (Additive Increase Multiplicative Decrease), enables fairness in video quality while transmitting multiple video flows. Targeting video quality fairness allows improving the overall video quality for all transmitted flows, especially when the transmitted videos provide various types of content with different spatial resolutions. In addition, QAIMD mitigates the occurrence of network congestion events, and dissolves the congestion whenever it occurs by decreasing the video quality and hence the bitrate. Using different video quality metrics, Q-AIMD is evaluated with different video contents and spatial resolutions. Simulation results show that Q-AIMD allows an improved overall video quality among the multiple transmitted video flows compared to a throughput-based congestion control by decreasing significantly the quality discrepancy between them.
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