bibtype A - Abstract
ARLID 0395096
utime 20240111140833.6
mtime 20130926235959.9
title (primary) (eng) VKFD: Computerized Analysis of Videokymographic Data
specification
page_count 2 s.
media_type P
serial
ARLID cav_un_epca*0395121
ISBN 978-80-260-4832-9
title PEVOC
page_num 293-294
publisher
place Prague
name Medical Healthcom
year 2013
editor
name1 Domagalský
name2 T.
keyword videokymography
keyword feature detection
keyword vocal fold
keyword rima glottidis
author (primary)
ARLID cav_un_auth*0283562
name1 Novozámský
name2 Adam
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0239988
name1 Sedlář
name2 Jiří
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0293261
name1 Zita
name2 Aleš
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0293262
name1 Herbst
name2 Ch.
country CZ
author
ARLID cav_un_auth*0018322
name1 Švec
name2 J. G.
country CZ
author
ARLID cav_un_auth*0101238
name1 Zitová
name2 Barbara
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101087
name1 Flusser
name2 Jan
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type pdf
url http://library.utia.cas.cz/separaty/2013/ZOI/novozamsky-vkfd computerized analysis of videokymographic data.pdf
cas_special
abstract (eng) Our paper proposes a software solution for the enhancement of videokymographic data and the extraction of typical characteristics of vocal folds vibrations, such as, e.g., the time-varying extent of rima glottidis and the progression of mucosal waves, and corresponding vibration parameters (e.g. frequency, symmetries, amplitude). The proposed methodology is based on well-established digital image processing methods; namely image denoising, edge detection, image segmentation, and object identification. The set of evaluated features was designed by experts, drawing on their longtime expertise with videokymography.
action
ARLID cav_un_auth*0293258
name PEVOC - Pan Europian Voice Conference /10./
place Prague
dates 21.08.2013-24.08.2013
country CZ
reportyear 2014
RIV JD
num_of_auth 7
mrcbC52 4 O 4o 20231122135735.9
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0224133
arlyear 2013
mrcbTft \nSoubory v repozitáři: 0395096.pdf
mrcbU56 pdf
mrcbU63 cav_un_epca*0395121 PEVOC 978-80-260-4832-9 293 294 Prague Medical Healthcom 2013
mrcbU67 Domagalský T. 340