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 |
|
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 |
|