| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0493936 |
| utime |
20240111141006.6 |
| mtime |
20181002235959.9 |
| title
(primary) (eng) |
Information separation in art investigation - a survey |
| specification |
| page_count |
3 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0493967 |
| title
|
PROCEEDINGS of the sixth International workshop on Image Processing for Art Investigation (IP4AI 2018) |
| page_num |
18-20 |
| publisher |
| place |
Ghent |
| name |
Ghent University |
| year |
2018 |
|
|
| keyword |
information separation |
| keyword |
pigments |
| keyword |
art investigation |
| author
(primary) |
| ARLID |
cav_un_auth*0254045 |
| 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 |
| share |
90 |
| name1 |
Blažek |
| name2 |
Jan |
| institution |
UTIA-B |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101238 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| share |
10 |
| name1 |
Zitová |
| name2 |
Barbara |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| abstract
(eng) |
The goal of artwork analyzes is often to detect of pentimenti, retouches, overpaintings, or varnishes in order to understand a painting structure. A common model of a painting used for interpretation of an artwork multimodal dataset is based on its multilayer characteristics. Another possibility how to address an artwork structure is to study an information gain of a particular modality. We have developed a new approach [2] for the information gain extraction and demonstrated its applicability. We present a comparison of four methods for the information separation [4, 1, 3, 2] applied on a multimodal dataset. Their ability to uncover concealed features of paintings will be presented together with their requirements and limitations. The separation limits will be shown using a concept of the intensity correspondence matrix (ICM), which can well describe the correlation and the mutual information. ICM also gives evidence of possibility to achieve an effective signal separation. |
| action |
| ARLID |
cav_un_auth*0364579 |
| name |
Image processing for art investigation |
| dates |
20180621 |
| mrcbC20-s |
20180622 |
| place |
Gent |
| country |
BE |
|
| RIV |
IN |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2019 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0287223 |
| confidential |
S |
| arlyear |
2018 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU56 |
PDF 35,1MB |
| mrcbU63 |
cav_un_epca*0493967 PROCEEDINGS of the sixth International workshop on Image Processing for Art Investigation (IP4AI 2018) 18 20 Ghent Ghent University 2018 |
|