bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0439651 |
utime |
20240103205550.9 |
mtime |
20150120235959.9 |
SCOPUS |
84946689560 |
WOS |
000380802600027 |
DOI |
10.1109/IWCIM.2014.7008818 |
title
(primary) (eng) |
Dynamic Textures Modeling Using Temporal Mixing Coefficients Reduction |
specification |
page_count |
5 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0439650 |
ISBN |
978-1-4799-7971-4 |
title
|
2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) |
publisher |
place |
Los Alamitos, USA |
name |
IEEE Computer Society CPS |
year |
2014 |
|
|
keyword |
Dynamic texture |
keyword |
texture analysis |
keyword |
texture synthesis |
keyword |
data compression |
author
(primary) |
ARLID |
cav_un_auth*0283206 |
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 |
Havlíček |
name2 |
Michal |
institution |
UTIA-B |
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. |
|
author
|
ARLID |
cav_un_auth*0101086 |
full_dept (cz) |
Rozpoznávání obrazu |
full_dept |
Department of Pattern Recognition |
department (cz) |
RO |
department |
RO |
full_dept |
Department of Pattern Recognition |
name1 |
Filip |
name2 |
Jiří |
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 |
|
project |
ARLID |
cav_un_auth*0303412 |
project_id |
GA14-02652S |
agency |
GA ČR |
country |
CZ |
|
abstract
(eng) |
Real world materials often change their appearance over time. If these variations are spatially and temporally homogeneous then the material visual appearance can be represented by a dynamic texture which is a natural extension of classic texture concept including the time as an extra dimension. In this article we present possible way to handle multispectral dynamic textures based on a combination of input data eigen analysis and subsequent processing of temporal mixing coefficients. The proposed method exhibits overall good performance, offers extremely fast synthesis which is not restricted in temporal dimension and simultaneously enables to compress significantly the original measured visual data. |
action |
ARLID |
cav_un_auth*0313040 |
name |
International Workshop on Computational Intelligence for Multimedia Understanding 2014 (IWCIM) |
dates |
01.11.2014-02.11.2014 |
place |
Paris |
country |
FR |
|
RIV |
BD |
reportyear |
2015 |
num_of_auth |
3 |
presentation_type |
PR |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0242972 |
mrcbC61 |
1 |
confidential |
S |
arlyear |
2014 |
mrcbU14 |
84946689560 SCOPUS |
mrcbU34 |
000380802600027 WOS |
mrcbU63 |
cav_un_epca*0439650 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) 978-1-4799-7971-4 Los Alamitos, USA IEEE Computer Society CPS 2014 |
|