| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0397609 |
| utime |
20240103203125.2 |
| mtime |
20131112235959.9 |
| title
(primary) (eng) |
Dynamic Texture Enlargement |
| specification |
| page_count |
8 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0397608 |
| ISBN |
978-80-223-3377-1 |
| ISSN |
1335-5694 |
| title
|
Proceedings of the 29th Spring conference on Computer Graphics (SCCG) |
| page_num |
13-20 |
| publisher |
| place |
Bratislava |
| name |
ACM, Comenius University |
| year |
2013 |
|
|
| keyword |
dynamic texture |
| keyword |
texture enlargement |
| keyword |
tile-based texture synthesis |
| author
(primary) |
| ARLID |
cav_un_auth*0101093 |
| name1 |
Haindl |
| name2 |
Michal |
| 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 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0295135 |
| name1 |
Richtr |
| name2 |
Radek |
| 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 |
| project |
| project_id |
GA102/08/0593 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239567 |
|
| project |
| project_id |
GAP103/11/0335 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273627 |
|
| abstract
(eng) |
A simple fast approach for dynamic texture synthesize that realistically matches given color or multispectral texture appearance and respects its original optic flow is presented. The method generalizes the prominent static double toroid-shaped texture modeling method to the dynamic texture synthesis domain. The analytical part of the method is based on optimal overlapping tiling and subsequent minimum boundary cut. The optimal toroid-shaped dynamic texture patches are created in each spatial and time dimension, respectively. The time dimension tile border is derived from the optical flow of the modeled texture. The toroid-shaped tiles are created in the analytical step which is completely separated from the synthesis part. Thus the presented method is extremely fast and capable to enlarge a learned natural dynamic texture spatially and temporally in real-time. |
| action |
| ARLID |
cav_un_auth*0295136 |
| name |
29th Spring conference on Computer Graphics (SCCG) |
| place |
Smolenice castle |
| dates |
01.05.2013-03.05.2013 |
| country |
SK |
|
| reportyear |
2014 |
| RIV |
BD |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0225915 |
| arlyear |
2013 |
| mrcbU63 |
cav_un_epca*0397608 Proceedings of the 29th Spring conference on Computer Graphics (SCCG) 978-80-223-3377-1 1335-5694 13 20 Bratislava ACM, Comenius University 2013 |
|