Title: | Cross-domain image matching improved by visual attention |
Authors: | de Melo, Ernani Viriato de Amo, Sandra Guliato, Denise |
Citation: | Journal of WSCG. 2014, vol. 22, no. 2, p. 65-72. |
Issue Date: | 2014 |
Publisher: | Václav Skala - UNION Agency |
Document type: | článek article |
URI: | http://wscg.zcu.cz/WSCG2014/!!_2014-Journal-No-2.pdf http://hdl.handle.net/11025/11903 |
ISSN: | 1213–6972 (hardcopy) 1213–6980 (CD-ROM) 1213–6964 (online) |
Keywords: | vizuální pozornost;porovnávání obrazu;asymetrie;vyhledávání obrazu |
Keywords in different language: | visual attention;image matching;saliency;image retrieval |
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. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | Volume 22, Number 2 (2014) |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/11903
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