TY - GEN
T1 - Design and management of image processing pipelines within CPS
T2 - Euromicro Conference on Digital System Design
AU - Pomante, Luigi
AU - Palumbo, Francesca
AU - Rinaldi, Claudia
AU - Valente, Giacomo
AU - Sau, Carlo
AU - Fanni, Tiziana
AU - Linden, Frank Van Der
AU - Basten, Twan
AU - Geilen, Marc
AU - Peeren, Geran
AU - Kadlec, Jiri
AU - Jääskeläinen, Pekka
AU - Martinez, Marcos
AU - Saarinen, Jukka
AU - Santti, Tero
AU - Zedda, Maria Katiuscia
AU - Sanchez, Victor
AU - Goswami, Dip
AU - Al-Ars, Zaid
AU - Beer, Ad De
N1 - Funding Information:
“This work is part of the FitOptiVis project [1] funded by the ECSEL Joint Undertaking under grant number H2020-ECSEL-2017-2-783162”.
Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/8
Y1 - 2020/8
N2 - Cyber-Physical Systems (CPS) are dynamic and reactive systems interacting with processes, environment and, sometimes, humans. They are often distributed with sensors and actuators, smart, adaptive, predictive and react in real-Time. Indeed, as sight for human beings, image-and video-processing pipelines are a prime source for environmental information for systems allowing them to take better decisions according to what they see. Therefore, in FitOptiVis we are developing novel methods and tools to integrate complex image and video processing pipelines. FitOptiVis aims to deliver a reference architecture for describing and optimizing quality and resource management for imaging and video pipelines in CPS both at design-and run-Time. The architecture is concretized in low-power, high-performance, smart components, and in methods and tools for combined design-Time and run-Time multi-objective optimization and adaptation within system and environment constraints.
AB - Cyber-Physical Systems (CPS) are dynamic and reactive systems interacting with processes, environment and, sometimes, humans. They are often distributed with sensors and actuators, smart, adaptive, predictive and react in real-Time. Indeed, as sight for human beings, image-and video-processing pipelines are a prime source for environmental information for systems allowing them to take better decisions according to what they see. Therefore, in FitOptiVis we are developing novel methods and tools to integrate complex image and video processing pipelines. FitOptiVis aims to deliver a reference architecture for describing and optimizing quality and resource management for imaging and video pipelines in CPS both at design-and run-Time. The architecture is concretized in low-power, high-performance, smart components, and in methods and tools for combined design-Time and run-Time multi-objective optimization and adaptation within system and environment constraints.
KW - Cyber-Physical Systems
KW - distributed systems
KW - energy and performance optimization
KW - heterogeneous system
KW - Image-video processing
U2 - 10.1109/DSD51259.2020.00067
DO - 10.1109/DSD51259.2020.00067
M3 - Conference contribution
AN - SCOPUS:85096359989
T3 - Proceedings - Euromicro Conference on Digital System Design, DSD 2020
SP - 378
EP - 385
BT - Proceedings - Euromicro Conference on Digital System Design, DSD 2020
A2 - Trost, Andrej
A2 - Zemva, Andrej
A2 - Skavhaug, Amund
PB - IEEE
Y2 - 26 August 2020 through 28 August 2020
ER -