bibtype |
J -
Journal Article
|
ARLID |
0551959 |
utime |
20220321120155.9 |
mtime |
20220119235959.9 |
SCOPUS |
85119051221 |
WOS |
000722314700001 |
DOI |
10.1016/j.micpro.2021.104350 |
title
(primary) (eng) |
Design and management of image processing pipelines within CPS: Acquired experience towards the end of the FitOptiVis ECSEL Project |
specification |
page_count |
23 s. |
media_type |
E |
|
serial |
ARLID |
cav_un_epca*0254366 |
ISSN |
0141-9331 |
title
|
Microprocessors and Microsystems |
volume_id |
87 |
publisher |
|
|
keyword |
image processing |
keyword |
video processing |
keyword |
distributed system |
keyword |
heterogeneous system |
keyword |
multi-objective optimization |
keyword |
cyber-physical systems |
author
(primary) |
ARLID |
cav_un_auth*0376333 |
name1 |
Sau |
name2 |
C. |
country |
IT |
|
author
|
ARLID |
cav_un_auth*0294912 |
name1 |
Rinaldi |
name2 |
C. |
country |
IT |
|
author
|
ARLID |
cav_un_auth*0376329 |
name1 |
Pomante |
name2 |
L. |
country |
IT |
|
author
|
ARLID |
cav_un_auth*0376327 |
name1 |
Palumbo |
name2 |
F. |
country |
IT |
|
author
|
ARLID |
cav_un_auth*0415681 |
name1 |
Valente |
name2 |
G. |
country |
IT |
|
author
|
ARLID |
cav_un_auth*0415682 |
name1 |
Fanni |
name2 |
T. |
country |
IT |
|
author
|
ARLID |
cav_un_auth*0415683 |
name1 |
Martinez |
name2 |
M. |
country |
ES |
|
author
|
ARLID |
cav_un_auth*0422374 |
name1 |
van der Linden |
name2 |
F. |
country |
NL |
|
author
|
ARLID |
cav_un_auth*0376321 |
name1 |
Basten |
name2 |
T. |
country |
NL |
|
author
|
ARLID |
cav_un_auth*0376323 |
name1 |
Geilen |
name2 |
M. |
country |
NL |
|
author
|
ARLID |
cav_un_auth*0376328 |
name1 |
Peeren |
name2 |
G. |
country |
NL |
|
author
|
ARLID |
cav_un_auth*0101120 |
name1 |
Kadlec |
name2 |
Jiří |
institution |
UTIA-B |
full_dept (cz) |
Zpracování signálů |
full_dept |
Department of Signal Processing |
department (cz) |
ZS |
department |
ZS |
full_dept |
Department of Signal Processing |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0422375 |
name1 |
Pekka |
name2 |
J. |
country |
FI |
|
author
|
ARLID |
cav_un_auth*0227126 |
name1 |
Bulej |
name2 |
L. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0422376 |
name1 |
Barranco |
name2 |
F. |
country |
ES |
|
author
|
ARLID |
cav_un_auth*0376331 |
name1 |
Saarinen |
name2 |
J. |
country |
FI |
|
author
|
ARLID |
cav_un_auth*0376332 |
name1 |
Säntti |
name2 |
T. |
country |
FI |
|
author
|
ARLID |
cav_un_auth*0422378 |
name1 |
Zedda |
name2 |
M. K. |
country |
IT |
|
author
|
ARLID |
cav_un_auth*0415684 |
name1 |
Sanchez |
name2 |
V. |
country |
NL |
|
author
|
ARLID |
cav_un_auth*0422379 |
name1 |
Nikkhah |
name2 |
S. T. |
country |
NL |
|
author
|
ARLID |
cav_un_auth*0376324 |
name1 |
Goswami |
name2 |
D. |
country |
NL |
|
author
|
ARLID |
cav_un_auth*0422380 |
name1 |
Amat |
name2 |
G. |
country |
ES |
|
author
|
ARLID |
cav_un_auth*0422381 |
name1 |
Maršík |
name2 |
L. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0422382 |
name1 |
van Helvoort |
name2 |
M. |
country |
NL |
|
author
|
ARLID |
cav_un_auth*0422383 |
name1 |
Medina |
name2 |
L. |
country |
ES |
|
author
|
ARLID |
cav_un_auth*0371036 |
name1 |
Al-Ars |
name2 |
Z. |
country |
NL |
|
author
|
ARLID |
cav_un_auth*0422384 |
name1 |
de Beer |
name2 |
A. |
country |
NL |
|
source |
|
source |
|
cas_special |
project |
project_id |
8A18013 |
agency |
GA MŠk |
ARLID |
cav_un_auth*0374054 |
|
abstract
(eng) |
Cyber-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. |
result_subspec |
JINE |
RIV |
JC |
FORD0 |
20000 |
FORD1 |
20200 |
FORD2 |
20206 |
reportyear |
2022 |
num_of_auth |
27 |
permalink |
http://hdl.handle.net/11104/0327301 |
mrcbC61 |
1 |
confidential |
S |
article_num |
104350 |
mrcbC86 |
3+4 Article Computer Science Hardware Architecture|Computer Science Theory Methods|Engineering Electrical Electronic |
mrcbC91 |
C |
mrcbT16-e |
COMPUTERSCIENCEHARDWAREARCHITECTURE|COMPUTERSCIENCETHEORYMETHODS|ENGINEERINGELECTRICALELECTRONIC |
mrcbT16-j |
0.256 |
mrcbT16-s |
0.538 |
mrcbT16-D |
Q4 |
mrcbT16-E |
Q3 |
arlyear |
2021 |
mrcbU14 |
85119051221 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
000722314700001 WOS |
mrcbU63 |
cav_un_epca*0254366 Microprocessors and Microsystems 0141-9331 1872-9436 Roč. 87 č. 1 2021 Elsevier |
|