Design and management of image processing pipelines within CPS: acquired experience towards the end of the FitOptiVis ECSEL Project
Metadatos
Mostrar el registro completo del ítemAutor
Sau, Carlo; Rinaldi, Claudia; Pomante, Luigi; Palumbo, Francesca; Valente, Giacomo; Fanni, Tiziana; Martínez, Marcos; Van der Linden, Frank; Basten, Twan; Geilen, Marc; Peeren, Geran; Kadlec, Jiri; Jääskeläinen, Pekka; Bulej, Lubomir; Barranco Expósito, Francisco; Saarinen, Jukka; Säntti, Tero; Zedda, Maria Katiuscia; Sánchez, Víctor; Nikkhah, Shayan Tabatabaei; Goswami, Dip; Amat, Guillermo; Maršík, Lukáš; Van Helvoort, Mark; Medina, Luis; Al-Ars, Zaid; De Beer, AdEditorial
Elsevier
Materia
Image processing Video processing Distributed system Heterogeneous system Multi-objective optimization Cyber-Physical System
Fecha
2021Referencia bibliográfica
Published version: Sau, Carlo. Design and management of image processing pipelines within CPS: acquired experience towards the end of the FitOptiVis ECSEL Project. Microprocessors and Microsystems Volume 87, November 2021, 104350. https://doi.org/10.1016/j.micpro.2021.104350
Resumen
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.





