TY - JOUR
T1 - Design and management of image processing pipelines within CPS
T2 - Acquired experience towards the end of the FitOptiVis ECSEL Project
AU - Sau, Carlo
AU - Rinaldi, Claudia
AU - Pomante, Luigi
AU - Palumbo, Francesca
AU - Valente, Giacomo
AU - Fanni, Tiziana
AU - Martinez, Marcos
AU - van der Linden, Frank
AU - Basten, Twan
AU - Geilen, Marc
AU - Peeren, Geran
AU - Kadlec, Jiří
AU - Jääskeläinen, Pekka
AU - Bulej, Lubomír
AU - Barranco, Francisco
AU - Saarinen, Jukka
AU - Säntti, Tero
AU - Zedda, Maria Katiuscia
AU - Sanchez, Victor
AU - Nikkhah, Shayan Tabatabaei
AU - Goswami, Dip
AU - Amat, Guillermo
AU - Maršík, Lukáš
AU - van Helvoort, Mark
AU - Medina, Luis
AU - Al-Ars, Zaid
AU - de Beer, Ad
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?783,162. Several national funding agencies also contributed to the project funding. A special thanks to all the FitOptiVis consortium partners that contributed to the FitOptiVis project on which this paper is based. It is worth noting some ECSEL projects that have provided background and/or reusable results taken into account in FitOptiVis: MegaM@rt2 [138], AQUAS [138], CASPER [139], AFarCloud [141].
PY - 2021/11
Y1 - 2021/11
N2 - Cyber-Physical Systems (CPSs) are dynamic and reactive systems interacting with processes, environment and, sometimes, humans. They are often distributed with sensors and actuators, characterized for being smart, adaptive, predictive and react in real-time. Indeed, 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 CPSs 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 (CPSs) are dynamic and reactive systems interacting with processes, environment and, sometimes, humans. They are often distributed with sensors and actuators, characterized for being smart, adaptive, predictive and react in real-time. Indeed, 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 CPSs 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 system
KW - Heterogeneous system
KW - Image processing
KW - Multi-objective optimization
KW - Video processing
UR - http://www.scopus.com/inward/record.url?scp=85119051221&partnerID=8YFLogxK
U2 - 10.1016/j.micpro.2021.104350
DO - 10.1016/j.micpro.2021.104350
M3 - Article
SN - 0141-9331
VL - 87
JO - Microprocessors and Microsystems
JF - Microprocessors and Microsystems
M1 - 104350
ER -