bibtype A - Abstract
ARLID 0519137
utime 20240103223342.8
mtime 20200108235959.9
title (primary) (eng) Seeing the unseen
specification
page_count 1 s.
media_type P
serial
ARLID cav_un_epca*0519136
ISBN 978-1-5386-9291-2
title 2019 IEEE International Symposium on Information Theory (ISIT)
publisher
place Paris
name IEEE
year 2019
keyword digital heritage
keyword image processing
keyword art analysis
author (primary)
ARLID cav_un_auth*0101238
full_dept Department of Image Processing
share 100
name1 Zitová
name2 Barbara
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
garant K
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2019/ZOI/zitova-0519137.pdf
cas_special
abstract (eng) The presentation will address untanglement of information contained in datasets representing pieces of art acquired in more modalities. New technological advances which help to create better understanding of analyzed artworks will be introduced, based on deep learning. Practical aspects of dataset processing will be pointed out.\n
action
ARLID cav_un_auth*0386658
name IEEE International Symposium on Information Theory
dates 20190707
mrcbC20-s 20190712
place Paris
country FR
RIV JD
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2020
num_of_auth 1
mrcbC52 4 O 4o 20231122144622.9
presentation_type ZP
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0304201
mrcbC61 1
confidential S
arlyear 2019
mrcbTft \nSoubory v repozitáři: 0519137.pdf
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0519136 2019 IEEE International Symposium on Information Theory (ISIT) 978-1-5386-9291-2 2019 IEEE International Symposium on Information Theory (ISIT) Paris IEEE 2019 CFP19SIF-ART