| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0346558 |
| utime |
20240103193758.9 |
| mtime |
20100913235959.9 |
| WOS |
000286412900042 |
| SCOPUS |
77958457239 |
| DOI |
10.1007/978-3-642-14980-1_42 |
| title
(primary) (eng) |
Content-Based Tile Retrieval System |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0346555 |
| ISBN |
978-3-642-14979-5 |
| ISSN |
0302-9743 |
| title
|
Structural, Syntactic, and Statistical Pattern Recognition |
| page_num |
434-443 |
| publisher |
| place |
Berlin / Heidelberg |
| name |
Springer Berlin / Heidelberg |
| year |
2010 |
|
| editor |
| name1 |
Hancock, Edwin and Wilson, Richard and Windeatt, Terry and Ulusoy, Ilkay and Escolano, Francisco |
|
|
| keyword |
content based image retrieval |
| keyword |
textural features |
| keyword |
colour |
| keyword |
tile classification |
| author
(primary) |
| ARLID |
cav_un_auth*0213290 |
| name1 |
Vácha |
| name2 |
Pavel |
| 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*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 |
| project |
| project_id |
1M0572 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0001814 |
|
| project |
| project_id |
2C06019 |
| agency |
GA MŠk |
| country |
CZ |
| ARLID |
cav_un_auth*0216518 |
|
| project |
| project_id |
GA102/08/0593 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239567 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
A content-based tile retrieval system based on the underlying multispectral Markov random field representation is introduced. Single tiles are represented by our approved textural features derived from especially efficient Markovian statistics and supplemented with Local Binary Patterns (LBP) features representing occasional tile inhomogeneities. Markovian features are on top of that also invariant to illumination colour and robust to illumination direction variations, therefore an arbitrary illuminated tiles do not negatively influence the retrieval result. The presented computer-aided tile consulting system retrieves tiles from recent tile production digital catalogues, so that the retrieved tiles have as similar pattern and/or colours to a query tile as possible. The system is verified on a large commercial tile database in a psychovisual experiment. |
| action |
| ARLID |
cav_un_auth*0263645 |
| name |
Structural, Syntactic, and Statistical Pattern Recognition |
| place |
Cesme, Izmir |
| dates |
18.08.2010-20.08.2010 |
| country |
TR |
|
| reportyear |
2011 |
| RIV |
BD |
| permalink |
http://hdl.handle.net/11104/0187559 |
| mrcbT16-q |
100 |
| mrcbT16-s |
0.318 |
| mrcbT16-y |
16.31 |
| mrcbT16-x |
0.34 |
| arlyear |
2010 |
| mrcbU14 |
77958457239 SCOPUS |
| mrcbU34 |
000286412900042 WOS |
| mrcbU63 |
cav_un_epca*0346555 Structural, Syntactic, and Statistical Pattern Recognition 978-3-642-14979-5 0302-9743 434 443 Berlin / Heidelberg Springer Berlin / Heidelberg 2010 LNCS 6218 |
| mrcbU67 |
Hancock, Edwin and Wilson, Richard and Windeatt, Terry and Ulusoy, Ilkay and Escolano, Francisco 340 |
|