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The FitOptiVis ECSEL Project : Highly Efficient Distributed Embedded Image/Video Processing in Cyber-Physical Systems . / Al-Ars, Zaid; Basten, Twan; Beer, Ad de; Geilen, Marc; Goswami, Dip; Jaäskelaïnen, Pekka; Kadlec, Jiøí; Alejandro, Marcos Martinezde; Palumbo, Francesca; More Authors.

CF'19 : Proceedings of the 16th ACM International Conference on Computing Frontiers. NewYork,NY : Association for Computing Machinery (ACM), 2019. p. 333-338.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Al-Ars, Z, Basten, T, Beer, AD, Geilen, M, Goswami, D, Jaäskelaïnen, P, Kadlec, J, Alejandro, MM, Palumbo, F & More Authors 2019, The FitOptiVis ECSEL Project: Highly Efficient Distributed Embedded Image/Video Processing in Cyber-Physical Systems . in CF'19 : Proceedings of the 16th ACM International Conference on Computing Frontiers. Association for Computing Machinery (ACM), NewYork,NY, pp. 333-338, 16th ACM International Conference on Computing Frontiers, CF 2019, Alghero, Sardinia, Italy, 30/04/19. https://doi.org/10.1145/3310273.3323437

APA

Al-Ars, Z., Basten, T., Beer, A. D., Geilen, M., Goswami, D., Jaäskelaïnen, P., ... More Authors (2019). The FitOptiVis ECSEL Project: Highly Efficient Distributed Embedded Image/Video Processing in Cyber-Physical Systems . In CF'19 : Proceedings of the 16th ACM International Conference on Computing Frontiers (pp. 333-338). NewYork,NY: Association for Computing Machinery (ACM). https://doi.org/10.1145/3310273.3323437

Vancouver

Al-Ars Z, Basten T, Beer AD, Geilen M, Goswami D, Jaäskelaïnen P et al. The FitOptiVis ECSEL Project: Highly Efficient Distributed Embedded Image/Video Processing in Cyber-Physical Systems . In CF'19 : Proceedings of the 16th ACM International Conference on Computing Frontiers. NewYork,NY: Association for Computing Machinery (ACM). 2019. p. 333-338 https://doi.org/10.1145/3310273.3323437

Author

Al-Ars, Zaid ; Basten, Twan ; Beer, Ad de ; Geilen, Marc ; Goswami, Dip ; Jaäskelaïnen, Pekka ; Kadlec, Jiøí ; Alejandro, Marcos Martinezde ; Palumbo, Francesca ; More Authors. / The FitOptiVis ECSEL Project : Highly Efficient Distributed Embedded Image/Video Processing in Cyber-Physical Systems . CF'19 : Proceedings of the 16th ACM International Conference on Computing Frontiers. NewYork,NY : Association for Computing Machinery (ACM), 2019. pp. 333-338

BibTeX

@inproceedings{d0a9b2aa5d8240d9a2c2c081d6d86eed,
title = "The FitOptiVis ECSEL Project: Highly Efficient Distributed Embedded Image/Video Processing in Cyber-Physical Systems",
abstract = "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- A nd 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.",
keywords = "Distributed systems, Energy and performance optimization, Heterogeneous system, Image-video processing",
author = "Zaid Al-Ars and Twan Basten and Beer, {Ad de} and Marc Geilen and Dip Goswami and Pekka Ja{\"a}skela{\"i}nen and Ji{\o}{\'i} Kadlec and Alejandro, {Marcos Martinezde} and Francesca Palumbo and {More Authors}",
year = "2019",
month = "4",
day = "30",
doi = "10.1145/3310273.3323437",
language = "English",
isbn = "978-1-4503-6685-4",
pages = "333--338",
booktitle = "CF'19",
publisher = "Association for Computing Machinery (ACM)",
address = "United States",

}

RIS

TY - GEN

T1 - The FitOptiVis ECSEL Project

T2 - Highly Efficient Distributed Embedded Image/Video Processing in Cyber-Physical Systems

AU - Al-Ars, Zaid

AU - Basten, Twan

AU - Beer, Ad de

AU - Geilen, Marc

AU - Goswami, Dip

AU - Jaäskelaïnen, Pekka

AU - Kadlec, Jiøí

AU - Alejandro, Marcos Martinezde

AU - Palumbo, Francesca

AU - More Authors, null

PY - 2019/4/30

Y1 - 2019/4/30

N2 - 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- A nd 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.

AB - 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- A nd 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.

KW - Distributed systems

KW - Energy and performance optimization

KW - Heterogeneous system

KW - Image-video processing

UR - http://www.scopus.com/inward/record.url?scp=85066051362&partnerID=8YFLogxK

U2 - 10.1145/3310273.3323437

DO - 10.1145/3310273.3323437

M3 - Conference contribution

SN - 978-1-4503-6685-4

SP - 333

EP - 338

BT - CF'19

PB - Association for Computing Machinery (ACM)

CY - NewYork,NY

ER -

ID: 54237318