bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0463638 |
utime |
20240103212724.0 |
mtime |
20161010235959.9 |
SCOPUS |
85006812184 |
WOS |
000390782002026 |
DOI |
10.1109/ICIP.2016.7532721 |
title
(primary) (eng) |
Texture fidelity criterion |
specification |
page_count |
5 s. |
media_type |
E |
|
serial |
ARLID |
cav_un_epca*0464937 |
ISBN |
978-1-4673-9961-6 |
ISSN |
Proceedings of the 2016 IEEE International Conference on Image Processing |
title
|
Proceedings of the 2016 IEEE International Conference on Image Processing |
publisher |
place |
Piscataway |
name |
IEEE |
year |
2016 |
|
|
keyword |
Image texture |
keyword |
texture fidelity |
keyword |
visual quality criterion |
keyword |
Markovian texture model |
author
(primary) |
ARLID |
cav_un_auth*0287263 |
full_dept (cz) |
Rozpoznávání obrazu |
full_dept (eng) |
Department of Pattern Recognition |
department (cz) |
RO |
department (eng) |
RO |
full_dept |
Department of Pattern Recognition |
name1 |
Kudělka |
name2 |
Miloš |
institution |
UTIA-B |
country |
CZ |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0101093 |
full_dept (cz) |
Rozpoznávání obrazu |
full_dept |
Department of Pattern Recognition |
department (cz) |
RO |
department |
RO |
full_dept |
Department of Pattern Recognition |
name1 |
Haindl |
name2 |
Michal |
institution |
UTIA-B |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
ARLID |
cav_un_auth*0303439 |
project_id |
GA14-10911S |
agency |
GA ČR |
country |
CZ |
|
abstract
(eng) |
Visual texture fidelity evaluation is important but still unsolved problem. Evaluation of how well various texture models conform with human visual perception of their original measured pattern is required not only for assessing the visual dissimilarities between a model output and the original measured texture, but also for optimal settings of model parameters, for fair comparison of distinct models, or visual scene understanding. We propose a novel texture fidelity criterion based on the fully multi-spectral generative underlying Markovian texture model, which correlates well with human texture quality ranking verified on the texture fidelity benchmark. |
action |
ARLID |
cav_un_auth*0334434 |
name |
2016 IEEE International Conference on Image Processing (ICIP) |
dates |
25.09.2016-28.09.2016 |
place |
Phoenix, AZ |
country |
US |
|
RIV |
BD |
reportyear |
2017 |
num_of_auth |
2 |
mrcbC52 |
4 A hod 4ah 20231122141919.2 |
presentation_type |
PO |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0263673 |
mrcbC61 |
1 |
mrcbC64 |
1 Department of Pattern Recognition UTIA-B 10201 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE |
confidential |
S |
mrcbC86 |
n.a. Proceedings Paper Engineering Electrical Electronic|Imaging Science Photographic Technology |
arlyear |
2016 |
mrcbTft |
\nSoubory v repozitáři: haindl-0463638.pdf |
mrcbU14 |
85006812184 SCOPUS |
mrcbU34 |
000390782002026 WOS |
mrcbU63 |
cav_un_epca*0464937 Proceedings of the 2016 IEEE International Conference on Image Processing 978-1-4673-9961-6 2381-8549 Piscataway IEEE 2016 |
|