id: 05293857
dt: a
an: 05293857
au: Pein, Raoul Pascal; Lu, Zhongyu
ti: A flexible image retrieval framework.
so: Shi, Yong (ed.) et al., Computational science ‒ ICCS 2007. 7th
    international conference, Beijing, China, May 27‒30, 2007.
    Proceedings, Part III. Berlin: Springer (ISBN 978-3-540-72587-9/pbk).
    Lecture Notes in Computer Science 4489, 754-761 (2007).
py: 2007
pu: Berlin: Springer
la: EN
cc: 
ut: Content-based image retrieval (CBIR); retrieval framework; feature vectors;
    query image; combined retrieval; improved result quality
ci: 
li: doi:10.1007/978-3-540-72588-6_124
ab: Summary: This paper discusses a framework for image retrieval. Most current
    systems are based on a single technique for feature extraction and
    similarity search. Each technique has its advantages and drawbacks
    concerning the result quality. Usually they cover one or two certain
    features of the image, e.g. histograms or shape information. The
    proposed framework is designed to be highly flexible, even if
    performance may suffer. The aim is to give people a platform to
    implement almost any kind of retrieval issues very quickly, whether it
    is content based or somehing else. The second advantage of the
    framework is the possibility to change retrieval characteristics within
    the program completely. This allows users to configure the ranking
    process as needed.
rv: