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 - Al-Ars, Zaid
AU - More Authors, null
PY - 2021
Y1 - 2021
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
AN - SCOPUS:85119051221
SN - 0141-9331
VL - 87
SP - 1
EP - 23
JO - Microprocessors and Microsystems
JF - Microprocessors and Microsystems
M1 - 104350
ER -