Design and management of image processing pipelines within CPS: Acquired experience towards the end of the FitOptiVis ECSEL Project

0551959 - ÚTIA 2022 RIV NL eng J - Článek v odborném periodiku
Sau, C. - Rinaldi, C. - Pomante, L. - Palumbo, F. - Valente, G. - Fanni, T. - Martinez, M. - van der Linden, F. - Basten, T. - Geilen, M. - Peeren, G. - Kadlec, Jiří - Pekka, J. - Bulej, L. - Barranco, F. - Saarinen, J. - Säntti, T. - Zedda, M. K. - Sanchez, V. - Nikkhah, S. T. - Goswami, D. - Amat, G. - Maršík, L. - van Helvoort, M. - Medina, L. - Al-Ars, Z. - de Beer, A.
Design and management of image processing pipelines within CPS: Acquired experience towards the end of the FitOptiVis ECSEL Project.
Microprocessors and Microsystems. Roč. 87, č. 1 (2021), č. článku 104350. ISSN 0141-9331. E-ISSN 1872-9436
Grant CEP: GA MŠMT 8A18013
Klíčová slova: image processing * video processing * distributed system * heterogeneous system * multi-objective optimization * cyber-physical systems
Obor OECD: Computer hardware and architecture
Impakt faktor: 3.503, rok: 2021
Způsob publikování: Omezený přístup
http://library.utia.cas.cz/separaty/2021/ZS/kadlec-0551959.pdf https://www.sciencedirect.com/science/article/pii/S014193312100507X

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.
Trvalý link: http://hdl.handle.net/11104/0327301