Show simple item record

A Fuzzy Rank-Based Late Fusion Method for Image Retrieval

dc.contributor.authorChatzichristofis, Savvas A.
dc.contributor.authorZagoris, Konstantinos
dc.contributor.authorBoutalis, Yiannis
dc.contributor.authorArampatzis, Avi
dc.description.abstractRank-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.en_UK
dc.relation.ispartofseriesInternational Conference on Multimedia Modeling;18th International Conference, MMM 2012, Klagenfurt, Austria, January 4-6, 2012. Proceedings
dc.rights© Springer-Verlag Berlin Heidelberg 2012en_UK
dc.subjectResearch Subject Categories::TECHNOLOGYen_UK
dc.subjectImage Retrievalen_UK
dc.subjectRank-Based Late Fusionen_UK
dc.subjectFuzzy Systemsen_UK
dc.subjectHeterogeneous Databasesen_UK
dc.titleA Fuzzy Rank-Based Late Fusion Method for Image Retrievalen_UK
dc.title.alternativePart of the Lecture Notes in Computer Science book series (LNCS, volume 7131)en_UK
dc.typeWorking Paperen_UK

Files in this item


This item appears in the following Collection(s)

Show simple item record

© Springer-Verlag Berlin Heidelberg 2012
Except where otherwise noted, this item's license is described as © Springer-Verlag Berlin Heidelberg 2012