基于自适应超分辨率的延迟敏感动态流媒体协同视频质量自适应

Minseok Choi, Won Joon Yun, Joongheon Kim
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引用次数: 0

摘要

针对延迟敏感视频流,提出了一种发送端和接收端之间的协作式动态质量自适应方案。提出了一种新的自适应超分辨率(SR)技术,可以自适应地控制图像的质量增强率和计算时间。由于能够在用户设备端提高视频块的质量,发射机可以积极地对视频块进行转码,以减少传输延迟和功耗。此外,自适应SR可以控制播放失速率和用户设备CPU消耗之间的权衡。仿真结果验证了自适应SR的性能,并表明所提出的视频传输方案能够很好地平衡在线视频服务的以下性能指标:1)播放失速率,2)平均质量度量,3)传输功率,以及4)用户设备的CPU消耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative Video Quality Adaptation for Delay-Sensitive Dynamic Streaming using Adaptive Super-Resolution
This paper proposes a cooperative and dynamic quality adaptation scheme for delay-sensitive video streaming between the transmitter and the receiver. We present a novel adaptive super-resolution (SR) technique that adaptively controls the quality enhancement rate and computation time. Due to the capability of enhancing the quality of video chunks at the user device side, the transmitter can aggressively transcode video chunks to reduce the delivery latency and power consumption. Also, adaptive SR can control the tradeoff between playback stall rate and CPU consumption of the user device. Simulation results verify the performance of adaptive SR and show that the proposed video delivery scheme is very good to balance tradeoff among the following performance metrics for online video services: 1) playback stall rate, 2) average quality measure, 3) transmission power, and 4) CPU consumption of the user device.
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