| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0492503 |
| utime |
20240103220354.3 |
| mtime |
20180827235959.9 |
| SCOPUS |
85059755327 |
| WOS |
000455146800151 |
| DOI |
10.1109/ICPR.2018.8545370 |
| title
(primary) (eng) |
Dynamic Texture Similarity Criterion |
| specification |
| page_count |
6 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0492502 |
| ISBN |
978-1-5386-3787-6 |
| title
|
The 24th International Conference on Pattern Recognition (ICPR 2018) |
| page_num |
904-909 |
| publisher |
| place |
New York |
| name |
IEEE |
| year |
2018 |
|
|
| keyword |
Dynamic texture |
| keyword |
Similarity criterion |
| author
(primary) |
| ARLID |
cav_un_auth*0295135 |
| name1 |
Richtr |
| name2 |
Radek |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| institution |
UTIA-B |
| 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 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| abstract
(eng) |
Dynamic texture similarity ranking is a challenging and still unsolved problem. Evaluation of how well are various dynamic textures similar to humans perception viewis extremely difficult even for static textures and requires tedious psycho-physical experiments. Human perception principles are largely not understood yet and the dynamic texture perception is further complicated with a distinct way of perceiving spatial and temporal domains, which complicates any similarity criterion definition. We propose a novel dynamic texture criterion based on the Fourier transformation and properties of dynamic texture spatiotemporal frequencies. The presented criterion correlates well with performed psycho-physical tests while maintaining sufficient diversity and descriptiveness. |
| action |
| ARLID |
cav_un_auth*0363310 |
| name |
The 24th International Conference on Pattern Recognition (ICPR 2018) |
| dates |
20180820 |
| mrcbC20-s |
20180824 |
| place |
Beijing |
| country |
CN |
|
| RIV |
BD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2019 |
| num_of_auth |
2 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0286555 |
| confidential |
S |
| mrcbC86 |
3+4 Proceedings Paper Computer Science Artificial Intelligence |
| arlyear |
2018 |
| mrcbU14 |
85059755327 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000455146800151 WOS |
| mrcbU63 |
cav_un_epca*0492502 The 24th International Conference on Pattern Recognition (ICPR 2018) 978-1-5386-3787-6 904 909 New York IEEE 2018 |
|