A4 Refereed article in a conference publication
The FitOptiVis ECSEL Project: Highly Efficient Distributed Embedded Image/Video Processing in Cyber-Physical Systems
Authors: Al-Ars Z., Basten T., de Beer A., Geilen M., Goswami D., Jääskeläinen P., Kadlec J., de Alejandro M.M., Palumbo F., Peeren G., Pomante L., van der Linden F., Saarinen J., Säntti T., Sau C., Zedda M.K.
Conference name: Computing Frontiers Conference
Publication year: 2019
Book title : CF '19 : Proceedings of the 16th ACM International Conference on Computing Frontiers
Journal name in source: CF '19 - PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS
First page : 333
Last page: 338
Number of pages: 6
ISBN: 978-1-4503-6685-4
DOI: https://doi.org/10.1145/3310273.3323437
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.
