Mobile displays have been recognized as the major contributors to the energy consumption of contemporary mobile video services. Existing display energy reduction (DER) algorithms focus on local video/image processing by utilizing the computation resources on the mobile devices. As such, a per-device DER strategy is highly inefficient from the systematic perspective since the same computation is repeated among millions of individual mobile devices. In this new era of cloud-based video streaming, a natural question to ask is can ubiquitous cloud resources be exploited to overcome these drawbacks. It is based on this motivation that we design a paradigm-shifting strategy to integrate the display energy saving engine into cloud-based video streaming in order to simultaneously benefit massive mobile devices with a one-time video processing in the cloud. By taking full advantage of the computational and storage resources in the cloud, a family of Rate-Distortion-Display Energy (R-D-DE) profiles can be created for a given video source and for different types of mobile devices. The preliminary experimental results with OLED displays prove that we can achieve the desired DER performance through jointly managing the display energy and user experience by implementing the proposed R-D-DE integrated video encoding engine in the cloud.

中文翻译：

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通过速率失真显示能量分析将移动显示节能集成到基于云的视频流中

移动显示器已被公认为是当代移动视频服务能耗的主要贡献者。现有的显示能量降低 (DER) 算法通过利用移动设备上的计算资源专注于本地视频/图像处理。因此，从系统的角度来看，每个设备的 DER 策略是非常低效的，因为在数百万个单独的移动设备中重复进行相同的计算。在这个基于云的视频流的新时代，一个自然要问的问题是是否可以利用无处不在的云资源来克服这些缺点。正是基于这一动机，我们设计了一种范式转换策略，将显示节能引擎集成到基于云的视频流中，以便同时使在云中进行一次性视频处理的大型移动设备受益。通过充分利用云中的计算和存储资源，可以为给定的视频源和不同类型的移动设备创建一系列速率失真显示能量 (RD-DE) 配置文件。OLED 显示器的初步实验结果证明，通过在云端实施所提出的 RD-DE 集成视频编码引擎，我们可以通过联合管理显示能量和用户体验来实现所需的 DER 性能。