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- A nd 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.

The FitOptiVis ECSEL Project: Highly Efficient Distributed Embedded Image/Video Processing in Cyber-Physical Systems Invited Pape / Al-Ars, Z., Basten, T., Beer, A., Geilen, M., Goswami, D., Jaaskelainen, P., Kadlec, J., Alejandro, M.M., Palumbo, F., Peeren, G., Pomante, L., Linden, F.V., Saarinen, J., Santti, T., Sau, C., Zedda, M.K.. - (2019), pp. 333-338. (16th ACM International Conference on Computing Frontiers, CF 2019 ita 2019) [10.1145/3310273.3323437].

The FitOptiVis ECSEL Project: Highly Efficient Distributed Embedded Image/Video Processing in Cyber-Physical Systems Invited Pape

Palumbo F.;
2019-01-01

Abstract

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- A nd 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.
2019
Inglese
ACM International Conference on Computing Frontiers 2019, CF 2019 - Proceedings
Su invito
16th ACM International Conference on Computing Frontiers, CF 2019
333
338
6
9781450366854
http://dl.acm.org/citation.cfm?id=3310273
Association for Computing Machinery, Inc
1515 BROADWAY, NEW YORK, NY 10036-9998 USA
Comitato scientifico
Sì
2019
ita
Internazionale
Distributed systems; Energy and performance optimization; Heterogeneous system; Image-video processing
Sì
The FitOptiVis ECSEL Project: Highly Efficient Distributed Embedded Image/Video Processing in Cyber-Physical Systems Invited Pape / Al-Ars, Z., Basten, T., Beer, A., Geilen, M., Goswami, D., Jaaskelainen, P., Kadlec, J., Alejandro, M.M., Palumbo, F., Peeren, G., Pomante, L., Linden, F.V., Saarinen, J., Santti, T., Sau, C., Zedda, M.K.. - (2019), pp. 333-338. (16th ACM International Conference on Computing Frontiers, CF 2019 ita 2019) [10.1145/3310273.3323437].
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Al-Ars, Z.; Basten, T.; Beer, A.; Geilen, M.; Goswami, D.; Jaaskelainen, P.; Kadlec, J.; Alejandro, M. M.; Palumbo, F.; Peeren, G.; Pomante, L.; Linde...espandi
273
16
none
info:eu-repo/semantics/conferenceObject
   FITOPTIVIS - From the cloud to the edge - smart IntegraTion and OPtimization Technologies for highly efficient Image and VIdeo processing Systems
   H2020
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/227263
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