Power-aware adaptive video streaming from the set-top-box to mobile devices

Shih-Hsuan Yang, G. Sun
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Abstract

A new-generation digital set-top-box (STB), as a core device of smart home, will provide mobile devices various multimedia services. In this study, we propose a more accurate power consumption model for mobile devices that are receiving video streaming services under the MPEG-DASH framework. The proposed model considers the influence of the encoding parameters specified by the encoder and the CPU frequency and connection throughput of the mobile device. The quality level and bit rate of the streaming video is thus dynamically adjusted, which enables a smooth and more durable video service for mobile users. Experimental results show that the proposed method reduces approximately 10% of power consumption compared to the non-adaptive method.
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从机顶盒到移动设备的功率感知自适应视频流
新一代数字机顶盒(STB)作为智能家居的核心设备,将为移动设备提供各种多媒体服务。在本研究中,我们提出了一个在MPEG-DASH框架下接收视频流服务的移动设备更准确的功耗模型。该模型考虑了编码器指定的编码参数和移动设备的CPU频率和连接吞吐量的影响。从而动态调整流媒体视频的质量水平和码率,为移动用户提供更流畅、更持久的视频服务。实验结果表明,与非自适应方法相比,该方法可降低约10%的功耗。
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