GPU accelerated processing of astronomical high frame-rate videosequences
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00233455" target="_blank" >RIV/68407700:21230/15:00233455 - isvavai.cz</a>
Alternative codes found
RIV/60461373:22340/15:43899481
Result on the web
<a href="http://dx.doi.org/10.1117/12.2188610" target="_blank" >http://dx.doi.org/10.1117/12.2188610</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2188610" target="_blank" >10.1117/12.2188610</a>
Alternative languages
Result language
angličtina
Original language name
GPU accelerated processing of astronomical high frame-rate videosequences
Original language description
Astronomical instruments located around the world are producing an incredibly large amount of possibly interesting scientific data. Astronomical research is expanding into large and highly sensitive telescopes. Total volume of data rates per night of operations also increases with the quality and resolution of state-of-the-art CCD/CMOS detectors. Since many of the ground-based astronomical experiments are placed in remote locations with limited access to the Internet, it is necessary to solve the problem of the data storage. It mostly means that current data acquistion, processing and analyses algorithm require review. Decision about importance of the data has to be taken in very short time. This work deals with GPU accelerated processing of high frame-rate astronomical video-sequences, mostly originating from experiment MAIA (Meteor Automatic Imager and Analyser), an instrument primarily focused to observing of faint meteoric events with a high time resolution. The instrument with price bellow 2000 euro consists of image intensifier and gigabite ethernet camera running at 61 fps. With resolution better than VGA the system produces up to 2TB of scientifically valuable video data per night. Main goal of the paper is not to optimize any GPU algorithm, but to propose and evaluate parallel GPU algorithms able to process huge amount of video-sequences in order to delete all uninteresting data.
Czech name
—
Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA14-25251S" target="_blank" >GA14-25251S: Nonlinear imaging systems with spatially variant point spread function</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Applications of Digital Image Processing XXXVIII
ISBN
978-1-62841-765-4
ISSN
0277-786X
e-ISSN
—
Number of pages
9
Pages from-to
"95992L-1"-"95992L-9"
Publisher name
SPIE
Place of publication
Bellingham
Event location
San Diego, California
Event date
Aug 9, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000366385200077