Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | de Melo, Ernani Viriato | |
dc.contributor.author | de Amo, Sandra | |
dc.contributor.author | Guliato, Denise | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2015-01-30T09:48:56Z | |
dc.date.available | 2015-01-30T09:48:56Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Journal of WSCG. 2014, vol. 22, no. 2, p. 65-72. | en |
dc.identifier.issn | 1213–6972 (hardcopy) | |
dc.identifier.issn | 1213–6980 (CD-ROM) | |
dc.identifier.issn | 1213–6964 (online) | |
dc.identifier.uri | http://wscg.zcu.cz/WSCG2014/!!_2014-Journal-No-2.pdf | |
dc.identifier.uri | http://hdl.handle.net/11025/11903 | |
dc.description.abstract | A good accuracy in image retrieval across different visual domains, such as photos taken over different seasons or lighting conditions, paintings, drawings, hand-drawn sketches, still is a big challenge. This paper proposes the use of visual attention to estimate the relative importance of some regions in a given query image. Recently, researchers used different databases in specific domains to validate their hypothesis. In this paper, we also propose a database with multiple image domains, called UFU-DDD. We used the UFU-DDD database to demonstrate the performance and accuracy gains from the association of visual attention with orientation-based feature descriptors. The analysis of the results showed that our approach outperforms all the standard descriptors used in the experiments. We hope the UFU-DDD database constitutes a valuable benchmark to the future research in cross-domain similarity searching. | en |
dc.format | 8 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | cs |
dc.relation.ispartofseries | Journal of WSCG | en |
dc.rights | © Václav Skala - UNION Agency | cs |
dc.subject | vizuální pozornost | cs |
dc.subject | porovnávání obrazu | cs |
dc.subject | asymetrie | cs |
dc.subject | vyhledávání obrazu | cs |
dc.title | Cross-domain image matching improved by visual attention | en |
dc.type | článek | cs |
dc.type | article | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.subject.translated | visual attention | en |
dc.subject.translated | image matching | en |
dc.subject.translated | saliency | en |
dc.subject.translated | image retrieval | en |
dc.type.status | Peer-reviewed | en |
Vyskytuje se v kolekcích: | Volume 22, Number 2 (2014) |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
---|---|---|---|---|
Melo.pdf | Plný text | 1,12 MB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/11903
Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.