深度压缩卸载

IF 0.7 Q4 TELECOMMUNICATIONS
Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, T. Abdelzaher
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引用次数: 3

摘要

未来的移动和嵌入式系统将会更加智能和用户友好。它们将感知物理环境,理解人类背景,并以类似人类的方式与最终用户交互。日常物品将能够利用传感器数据执行复杂的估计和识别任务,例如识别视觉输入、理解语音命令、跟踪物体和解释人类行为。这就提出了如何在低端嵌入式和移动设备资源有限的情况下赋予其智能外观的重要研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deep Compressive Offloading
Future mobile and embedded systems will be smarter and more user-friendly. They will perceive the physical environment, understand human context, and interact with end-users in a human-like fashion. Daily objects will be capable of leveraging sensor data to perform complex estimation and recognition tasks, such as recognizing visual inputs, understanding voice commands, tracking objects, and interpreting human actions. This raises important research questions on how to endow low-end embedded and mobile devices with the appearance of intelligence despite their resource limitations.
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