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dc.contributor.authorSau, Carlo
dc.contributor.authorRinaldi, Claudia
dc.contributor.authorPomante, Luigi
dc.contributor.authorPalumbo, Francesca
dc.contributor.authorValente, Giacomo
dc.contributor.authorFanni, Tiziana
dc.contributor.authorMartínez, Marcos
dc.contributor.authorVan der Linden, Frank
dc.contributor.authorBasten, Twan
dc.contributor.authorGeilen, Marc
dc.contributor.authorPeeren, Geran
dc.contributor.authorKadlec, Jiri
dc.contributor.authorJääskeläinen, Pekka
dc.contributor.authorBulej, Lubomir
dc.contributor.authorBarranco Expósito, Francisco 
dc.contributor.authorSaarinen, Jukka
dc.contributor.authorSäntti, Tero
dc.contributor.authorZedda, Maria Katiuscia
dc.contributor.authorSánchez, Víctor
dc.contributor.authorNikkhah, Shayan Tabatabaei
dc.contributor.authorGoswami, Dip
dc.contributor.authorAmat, Guillermo
dc.contributor.authorMaršík, Lukáš
dc.contributor.authorVan Helvoort, Mark
dc.contributor.authorMedina, Luis
dc.contributor.authorAl-Ars, Zaid
dc.contributor.authorDe Beer, Ad
dc.date.accessioned2024-10-28T09:29:46Z
dc.date.available2024-10-28T09:29:46Z
dc.date.issued2021
dc.identifier.citationPublished 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.2021.104350es_ES
dc.identifier.urihttps://hdl.handle.net/10481/96381
dc.description.abstractCyber-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.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectImage processing es_ES
dc.subjectVideo processinges_ES
dc.subjectDistributed systemes_ES
dc.subjectHeterogeneous systemes_ES
dc.subjectMulti-objective optimizationes_ES
dc.subjectCyber-Physical Systemes_ES
dc.titleDesign and management of image processing pipelines within CPS: acquired experience towards the end of the FitOptiVis ECSEL Projectes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.micpro.2021.104350
dc.type.hasVersionAMes_ES


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