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
URI: http://wscg.zcu.cz/WSCG2014/!!_2014-Journal-No-2.pdf
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)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11903

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