| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0431524 |
| utime |
20240103204613.6 |
| mtime |
20141021235959.9 |
| SCOPUS |
84919934811 |
| WOS |
000359818003017 |
| DOI |
10.1109/ICPR.2014.513 |
| title
(primary) (eng) |
Noise Resistant Image Retrieval |
| specification |
| page_count |
6 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0431131 |
| ISBN |
978-1-4799-5208-3 |
| ISSN |
1051-4651 |
| title
|
Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014) |
| page_num |
2972-2977 |
| publisher |
| place |
Stockholm |
| name |
IEEE Computer Society |
| year |
2014 |
|
|
| keyword |
noisy images |
| keyword |
histogram similarity |
| author
(primary) |
| ARLID |
cav_un_auth*0282545 |
| name1 |
Höschl |
| name2 |
Cyril |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101087 |
| name1 |
Flusser |
| name2 |
Jan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0292734 |
| project_id |
GA13-29225S |
| agency |
GA ČR |
|
| abstract
(eng) |
We present a content-based image retrieval method which is particularly designed for noisy images. The images are retrieved according to histogram similarity. To reach high robustness to noise, the histograms are described by novel features which are insensitive to convolution with a Gaussian kernel, i.e. insensitive to a Gaussian additive noise in original images. The advantage of the new method is demonstrated experimentally on real data. |
| action |
| ARLID |
cav_un_auth*0306095 |
| name |
22nd International Conference on Pattern Recognition |
| dates |
22.08.2014-28.08.2014 |
| place |
Stockholm |
| country |
SE |
|
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20206 |
| reportyear |
2015 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0237643 |
| confidential |
S |
| mrcbC83 |
RIV/67985556:_____/14:00431524!RIV15-AV0-67985556 152459976 Doplnění UT WOS a Scopus |
| mrcbC83 |
RIV/67985556:_____/14:00431524!RIV15-GA0-67985556 152501036 Doplnění UT WOS a Scopus |
| mrcbT16-q |
50 |
| mrcbT16-s |
0.293 |
| mrcbT16-y |
11.42 |
| mrcbT16-x |
0.77 |
| mrcbT16-E |
Q3 |
| arlyear |
2014 |
| mrcbU14 |
84919934811 SCOPUS |
| mrcbU34 |
000359818003017 WOS |
| mrcbU63 |
cav_un_epca*0431131 Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014) 978-1-4799-5208-3 1051-4651 2972 2977 Stockholm IEEE Computer Society 2014 |
|