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Late Fusion of Compact Composite Descriptors for Retrieval from Heterogeneous Image Databases
 

Summary: Late Fusion of Compact Composite Descriptors
for Retrieval from Heterogeneous Image Databases
Savvas A. Chatzichristofis Avi Arampatzis
Department of Electrical and Computer Engineering
Democritus University of Thrace
Xanthi, Greece
schatzic@ee.duth.gr, avi@ee.duth.gr
ABSTRACT
Compact composite descriptors (CCDs) are global image
features, capturing more than one types of information at
the same time in a very compact representation. Their qual-
ity has so far been evaluated in retrieval from several homo-
geneous databases containing images of only the type that
each CCD is intended for, and has been found better than
other descriptors in the literature such as the MPEG-7 de-
scriptors. In this study, we consider heterogeneous databases
and investigate query-time fusion techniques for CCDs. The
results show that fusion is beneficial, even with simple score
normalization and combination methods due to the com-
patibility of the score distributions produced by the CCDs

  

Source: Arampatzis, Avi - Department of Electrical and Computer Engineering, Democritus University of Thrace

 

Collections: Computer Technologies and Information Sciences