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An adaptive rate control for faster bitrate shaping in x264 based video conferencing

机译:自适应速率控制,可在基于x264的视频会议中实现更快的比特率整形

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In most video streaming applications the available bandwidth may vary during transmission due to the shared nature of IP networks. For efficient bandwidth utilization and in order to manage network congestions, the outgoing bitrate of a streaming application should adapt to changes in network traffic. Current encoders have no strategy for acting in response to bitrate variations that occur as a result of changes in network condition. The time it takes to adapt has a significant impact on the received video quality. A slower response means that more packets are dropped by the network, which in turn results in a lower video quality. Furthermore, a slower response makes the congestion to persist for a longer period of time. In this paper an improved adaptive rate control algorithm for the x264 encoder has been proposed. The proposed scheme is able to adapt the bitrate, by considering the available network capacity, much faster than the conventional method. Simulation results indicate that the proposed algorithm is able to adjust to a bitrate in less than 15 frames, where as it takes more than 42 frames for the conventional method to reach the same bitrate. Consequently, the proposed scheme has no quality degradation or packet loss in %83 of test cases where the bitstream has been exposed to various network conditions, while the conventional rate control reduces quality to 24.02 dB in average in all test cases but one. This improved performance has been achieved with minimum added computational complexity.
机译:在大多数视频流应用中,由于IP网络的共享特性,可用带宽在传输过程中可能会有所不同。为了有效地利用带宽并管理网络拥塞,流应用程序的输出比特率应适应网络流量的变化。当前的编码器没有策略来响应由于网络状况变化而发生的比特率变化而采取行动。适应所花费的时间对接收的视频质量有重大影响。较慢的响应意味着网络会丢弃更多的数据包,从而导致视频质量降低。此外,较慢的响应会使拥塞持续更长的时间。本文提出了一种改进的x264编码器自适应速率控制算法。通过考虑可用的网络容量,所提出的方案能够比传统方法快得多地适应比特率。仿真结果表明,该算法能够在不到15帧的情况下调整比特率,而传统方法要达到相同的比特率需要花费42帧以上。因此,在比特流暴露于各种网络条件的测试案例中,所提出的方案在%83的测试案例中没有质量下降或丢包的情况,而传统的速率控制将除一个案例外的所有测试案例的平均质量降低到24.02 dB。以最小的增加的计算复杂度实现了这种改进的性能。

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