Design and management of image processing pipelines within CPS
2 years of experience from the FitOptiVis ECSEL Project
Luigi Pomante (Università degli Studi dell’Aquila)
Francesca Palumbo (Università degli Studi di Sassari)
Claudia Rinaldi (Università degli Studi di Sassari)
Giacomo Valente (Università degli Studi di Sassari)
Carlo Sau (Università degli studi di Cagliari)
Tiziana Fanni (Università degli Studi di Sassari)
Frank van der Linden (Philips)
Twan Basten (Eindhoven University of Technology)
Marc Geilen (Eindhoven University of Technology)
Zaid Al-Ars (TU Delft - Computer Engineering)
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Abstract
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.
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