A common approach to content-based image retrieval
is to use example images as queries; images in the
collection that have low-level features similar to the
query examples are returned in response to the query.
In this paper, we explore the use of image regions
as query examples. We compare the retrieval effectiveness
of using whole images, single regions, and
multiple regions as examples. We also compare two
approaches for combining shape features: an equalweight
linear combination, and classification using
machine learning algorithms. We show that using image
regions as query examples leads to higher effectiveness
than using whole images, and that an equalweight
linear combination of shape features is simpler
and at least as effective as using a machine learning
algorithm. |
| Cite as: Awang Iskandar, D.N.F., Thom, J.A. and Tahaghoghi, S.M.M. (2008). Content-based Image Retrieval Using Image Regions as Query Examples. In Proc. Nineteenth Australasian Database Conference (ADC 2008), Wollongong, NSW, Australia. CRPIT, 75. Fekete, A. and Lin, X., Eds. ACS. 39-47. |
 (from crpit.com)
(local if available)
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