FitOptiVis ECSEL项目:网络物理系统中高效的分布式嵌入式图像/视频处理

Z. Al-Ars, T. Basten, A. D. Beer, M. Geilen, Dip Goswami, P. Jääskeläinen, J. Kadlec, M. Alejandro, F. Palumbo, G. Peeren, L. Pomante, F. V. Linden, Jukka Saarinen, T. Säntti, Carlo Sau, M. Zedda
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引用次数: 31

摘要

信息物理系统(CPS)是与环境反馈的系统,可能与人类在循环中。它们通常与传感器和执行器一起分布,具有智能、自适应、预测性和实时反应能力。图像和视频处理管道是环境信息的主要来源,提高了主动、相关反馈的可能性。在这样的背景下,FitOptiVis旨在为CPS的成像和视频管道提供端到端的多目标优化,以能源和性能为重点,利用参考架构,以低功耗,高性能,智能设备为支持,通过在系统和环境约束下结合设计时和运行时多目标优化的方法和工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The FitOptiVis ECSEL project: highly efficient distributed embedded image/video processing in cyber-physical systems
Cyber-Physical Systems (CPS) are systems that are in feedback with their environment, possibly with humans in the loop. They are often distributed with sensors and actuators, smart, adaptive and predictive and react in real-time. Image- and video-processing pipelines are a prime source for environmental information improving the possibilities of active, relevant feedback. In such a context, FitOptiVis aims to provide end-to-end multi-objective optimization for imaging and video pipelines of CPS, with emphasis on energy and performance, leveraging on a reference architecture, supported by low-power, high-performance, smart devices, and by methods and tools for combined design-time and run-time multi-objective optimization within system and environment constraints.
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