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Design and management of image processing pipelines within CPS: 2 years of experience from the FitOptiVis ECSEL Project

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    0546871 - ÚTIA 2022 RIV US eng C - Conference Paper (international conference)
    Pomante, L. - Palumbo, F. - Rinaldi, C. - Valente, G. - Sau, C. - Fanni, T. - Linden, F. - Basten, T. - Geilen, M. - Peeren, G. - Kadlec, Jiří - Jääskeläinen, P. - Martinez, M. - Saarinen, J. - Säntti, T. - Zedda, M. - Sanchez, V. - Goswami, D. - Al-Ars, Z. - Beer, A.
    Design and management of image processing pipelines within CPS: 2 years of experience from the FitOptiVis ECSEL Project.
    Proceedings - Euromicro Conference on Digital System Design, DSD 2020. Piscataway: IEEE, 2020 - (Trost, A.; Zemva, A.; Skavhaug, A.), s. 378-385. ISBN 978-172819535-3.
    [Euromicro Conference on Digital System Design, DSD 2020 /23./. Kranj (SI), 26.08.2020-28.08.2020]
    R&D Projects: GA MŠMT 8A18013
    Keywords : Cyber-Physical Systems * distributed systems * energy and performance optimization * heterogeneous system * Image-video processing
    OECD category: Computer hardware and architecture
    https://ieeexplore.ieee.org/document/9217819/

    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.
    Permanent Link: http://hdl.handle.net/11104/0323796

     
     
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