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The FitOptiVis ECSEL project: highly efficient distributed embedded image/video processing in cyber-physical systems

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    0505799 - ÚTIA 2020 RIV US eng C - Conference Paper (international conference)
    Zaid, A. - Basten, T. - Beer, A. - Geilen, M. - Goswami, D. - Jääskeläinen, P. - Kadlec, Jiří - Alejandro, M. - Palumbo, F. - Peeren, G. - Pomante, L. - Linden, F. - Saarinen, J. - Säntti, T. - Sau, C. - Zedda, M.
    The FitOptiVis ECSEL project: highly efficient distributed embedded image/video processing in cyber-physical systems.
    Proceedings of the 16th ACM International Conference on Computing Frontiers. New York: ACM Digital Library, 2019 - (Palumbo, F.; Becchi, M.; Schulz, M.; Sato, K.), s. 333-338. ISBN 978-1-4503-6685-4.
    [ACM International Conference on Computing Frontiers 2019. Alghero (IT), 30.04.2019-02.05.2019]
    R&D Projects: GA MŠMT 8A18013
    Keywords : distributed systems * energy and performance optimization * heterogeneous system * image-video processing
    OECD category: Electrical and electronic engineering
    http://library.utia.cas.cz/separaty/2019/ZS/kadlec-0505799.pdf

    Cyber-Physical Systems (CPS) are systems that are in feedback with their environment, possibly with humans in the loop. They are often distributed with sensors and actuators, smart, adaptive and predictive and react in real-time. Image- and video-processing pipelines are a prime source for environmental information improving the possibilities of active, relevant feedback. In such a context, FitOptiVis aims to provide end-to-end multi-objective optimization for imaging and video pipelines of CPS, with emphasis on energy and performance, leveraging on a reference architecture, supported by low-power, high-performance, smart devices, and by methods and tools for combined design-time and run-time multi-objective optimization within system and environment constraints.
    Permanent Link: http://hdl.handle.net/11104/0297199

     
     
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