| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0497358 |
| utime |
20240103221021.8 |
| mtime |
20181130235959.9 |
| SCOPUS |
85065911629 |
| WOS |
000469258400095 |
| DOI |
10.1109/SITIS.2018.00106 |
| title
(primary) (eng) |
Multispectral Texture Fidelity Measure |
| specification |
| page_count |
6 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0497818 |
| ISBN |
978-1-5386-9385-8 |
| title
|
SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems |
| page_num |
658-663 |
| publisher |
| place |
Los Alamitos |
| name |
IEEE Computer Society CPS |
| year |
2018 |
|
| editor |
| name1 |
Sanniti di Baja |
| name2 |
G. |
|
| editor |
|
| editor |
|
| editor |
|
| editor |
| name1 |
Castrillón-Santana |
| name2 |
M. |
|
| editor |
|
|
| keyword |
image texture |
| keyword |
multispectral texture fidelity |
| keyword |
visual quality measure |
| keyword |
Markovian texture model |
| author
(primary) |
| ARLID |
cav_un_auth*0287263 |
| name1 |
Kudělka |
| name2 |
Miloš |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| full_dept |
Department of Pattern Recognition |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101093 |
| name1 |
Haindl |
| name2 |
Michal |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0371356 |
| project_id |
SVV-260452/2017 |
| agency |
GA UK |
| country |
CZ |
|
| abstract
(eng) |
Automatic texture fidelity assessment that would correspond to the human visual perception is an important, but still unsolved computer vision problem with numerous useful applications in the various vision application areas such as image compression and modeling, video streaming or fast image database retrieval. The problem is not satisfyingly solved even for the most simple static monospectral texture representation thus progress in the automatic assessment of texture fidelity is required. We propose improved multiresolution texture fidelity measure based on Markovian random field texture model, which correlates well with human texture fidelity evaluation obtained from texture fidelity benchmark. |
| action |
| ARLID |
cav_un_auth*0368592 |
| name |
SITIS 2018. International Conference on Signal Image Technology & Internet Based Systems /14./ |
| dates |
20181126 |
| mrcbC20-s |
20181129 |
| place |
Las Palmas de Gran Canaria |
| country |
ES |
|
| RIV |
BD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20202 |
| reportyear |
2019 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0290642 |
| confidential |
S |
| article_num |
106 |
| mrcbC83 |
RIV/67985556:_____/18:00497358!RIV19-AV0-67985556 192095230 Dolnění UT WOS a Scopus |
| mrcbC86 |
3+4 Proceedings Paper Computer Science Software Engineering|Computer Science Theory Methods|Engineering Electrical Electronic |
| arlyear |
2018 |
| mrcbU14 |
85065911629 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000469258400095 WOS |
| mrcbU63 |
cav_un_epca*0497818 SITIS 2018. Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems IEEE Computer Society CPS 2018 Los Alamitos 658 663 978-1-5386-9385-8 |
| mrcbU67 |
340 Sanniti di Baja G. |
| mrcbU67 |
340 Gallo L. |
| mrcbU67 |
340 Yetongnon K. |
| mrcbU67 |
340 Dipanda A. |
| mrcbU67 |
340 Castrillón-Santana M. |
| mrcbU67 |
340 Chbeir R. |
|