A Fuzzy Rank-Based Late Fusion Method for Image Retrieval ; Part of the Lecture Notes in Computer Science book series (LNCS, volume 7131)
In: https://link.springer.com/chapter/10.1007/978-3-642-27355-1_43, 2012
Online
report
Zugriff:
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.
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A Fuzzy Rank-Based Late Fusion Method for Image Retrieval ; Part of the Lecture Notes in Computer Science book series (LNCS, volume 7131)
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Autor/in / Beteiligte Person: | Chatzichristofis, Savvas A. ; Zagoris, Konstantinos ; Boutalis, Yiannis ; Arampatzis, Avi |
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Zeitschrift: | https://link.springer.com/chapter/10.1007/978-3-642-27355-1_43, 2012 |
Veröffentlichung: | Springer-Verlag, 2012 |
Medientyp: | report |
DOI: | 10.1007/978-3-642-27355-1_43 |
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