移动流媒体的动态自适应比特率选择算法研究

Taoshen Li, Zhihui Ge, Jichang Chen
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引用次数: 0

摘要

针对接收流媒体数据时速率切换频率高、能量利用效率低的问题,提出了一种能量感知的动态自适应比特率选择算法(EDABS)。该算法根据监控的网络带宽和流媒体编码率,自适应调整终端缓存区域的下限阈值,使缓存空间的大小更适合当前带宽和流媒体编码率。然后,设置动态安全边界和响应延迟因子,自适应选择下一个目标视频块的码率。实验结果表明,该算法能较好地降低速率开关频率,提高能量利用效率。
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Study on Dynamic Adaptive Bitrate Selection Algorithm for Mobile Streaming Media
An energy-aware dynamic adaptive Bitrate selection algorithm (EDABS) was proposed to solve the problem of rate switching frequency and low energy utilization efficiency while receiving streaming media data. According to the monitored network bandwidth and streaming media coding rate, the algorithm adaptively adjusted the lower limit threshold of the terminal cache area, so that the size of the cache space was more fit the current bandwidth and streaming media coding rate. And then, it set a dynamic security boundary and response delay factor, and adaptively selected the next target video block's code rate. The experimental results show that proposed algorithm can better reduce rate switching frequency and improve the utilization efficiency of the energy.
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