Techniques for supporting efficient content-based retrieval
in multimedia databases
Ruth Kurniawati,
Jesse Jin,
John Shepherd
The Australian Computer Journal, vol.29, no.4, November 1997
(Compressed Postscript ... 521KB)
This paper is a brief survey of the current state of the technology
used in supporting efficient content-based retrieval in index-based
multimedia databases that use feature vectors to
represent the multimedia data. One of the main obstacles in performing
efficient content-based multimedia retrieval is the high-dimensionality
of the feature vectors used to characterise the data. Previous surveys on
multidimensional access structures tried to cope with all the diversity
but tended to ignore the issues related to the high dimensionality of the
feature space. This survey strives to give an overview of the techniques
available to deal with such high dimensional spaces. The key properties
of most often used dimension reduction techniques will be compared,
followed by a discussion of the multidimensional access structures that can
deal with a high dimensional space. Algorithms for
supporting content-based query processing using these multidimensional
access structures will also be evaluated.
Keys:
multidimensional access structures,
content-based retrieval,
multimedia databases,
dimension reduction,
nearest-neighbour searches
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