A fuzzy rank-based late fusion method for image retrieval

Authors:
Savvas A. Chatzichristofis;Konstantinos Zagoris;Yiannis Boutalis;Avi Arampatzis
Affiliations:
Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece;Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece;Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece;Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece
Venue:
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Year:
2012

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Abstract

Rank-based fusion is indispensable in multiple search setups in lack of item retrieval scores, such as in meta-search with non-cooperative engines. We introduce a novel, simple, and efficient method for rank-based late fusion of retrieval result-lists. The approach taken is rule-based, employs a fuzzy system, and does not require training data. We evaluate on an image database by fusing results retrieved by three MPEG-7 descriptors, and find statistically significant improvements in effectiveness over other widely used rank-based fusion methods.