The real world presents interpretable visual detail at different scales in different situations. While empowering face recognition, augmented reality, and other computer vision tasks, mobile systems should be able to dynamically adapt the spatiotemporal resolution of the visual sensing pipeline to capture image frames at high resolutions for task precision and low resolutions for energy savings. Facilitating real-time decisions to reconfigure resolutions will let systems dynamically adapt to the needs of the vision algorithms, as well as the environmental situation of the visual scene. This article will review system challenges and opportunities of image-resolution-based tradeoffs toward energy-efficient visual computing through device driver and media framework optimization.

中文翻译：

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节能视觉计算系统的基于分辨率的自适应权衡

现实世界在不同情况下以不同尺度呈现可解释的视觉细节。在支持人脸识别、增强现实和其他计算机视觉任务的同时，移动系统应该能够动态调整视觉传感管道的时空分辨率，以高分辨率捕获图像帧以实现任务精度和低分辨率以节省能源。促进重新配置分辨率的实时决策将使系统动态适应视觉算法的需求，以及视觉场景的环境情况。本文将回顾通过设备驱动程序和媒体框架优化，基于图像分辨率的权衡向节能视觉计算的系统挑战和机遇。