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

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    SYSNO ASEP0505799
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleThe FitOptiVis ECSEL project: highly efficient distributed embedded image/video processing in cyber-physical systems
    Author(s) Zaid, A. (NL)
    Basten, T. (NL)
    Beer, A. (NL)
    Geilen, M. (NL)
    Goswami, D. (NL)
    Jääskeläinen, P. (FI)
    Kadlec, Jiří (UTIA-B) RID
    Alejandro, M. (IT)
    Palumbo, F. (IT)
    Peeren, G. (NL)
    Pomante, L. (IT)
    Linden, F. (NL)
    Saarinen, J. (FI)
    Säntti, T. (FI)
    Sau, C. (IT)
    Zedda, M. (IT)
    Number of authors16
    Source TitleProceedings of the 16th ACM International Conference on Computing Frontiers. - New York : ACM Digital Library, 2019 / Palumbo F. ; Becchi M. ; Schulz M. ; Sato K. - ISBN 978-1-4503-6685-4
    Pagess. 333-338
    Number of pages6 s.
    Publication formOnline - E
    ActionACM International Conference on Computing Frontiers 2019
    Event date30.04.2019 - 02.05.2019
    VEvent locationAlghero
    CountryIT - Italy
    Event typeWRD
    Languageeng - English
    CountryUS - United States
    Keywordsdistributed systems ; energy and performance optimization ; heterogeneous system ; image-video processing
    Subject RIVJC - Computer Hardware ; Software
    OECD categoryElectrical and electronic engineering
    R&D Projects8A18013 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    UT WOS000474686400057
    EID SCOPUS85066051362
    DOI10.1145/3310273.3323437
    AnnotationCyber-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.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2020
Number of the records: 1  

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