Adaptive Resolution-Based Tradeoffs for Energy-Efficient Visual Computing Systems

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