An efficient signature representation for retrieval of spatially similar images |
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Authors: | Naimul Mefraz Khan Imran Shafiq Ahmad |
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Affiliation: | 1. School of Computer Science, University of Windsor, Windsor, ON, N9B 3P4, Canada
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Abstract: | Multimedia applications involving image retrieval demand fast and efficient response. Efficiency of search and retrieval of
information in a database system is index dependent. Generally, a two-level indexing scheme in an image database can help
to reduce the search space against a given query image. In such type of indexing scheme, the first level is required to significantly
reduce the search space for second stage of comparisons and must be computationally efficient. It is also required to guarantee
that no false negatives may result. The second level of indexing involves more detailed analysis and comparison of potentially
relevant images. In this paper, we present an efficient signature representation scheme for first level of a two-level image
indexing scheme that is based on hierarchical decomposition of image space into spatial arrangement of image features. Experimental
results demonstrate that our signature representation scheme results in fewer number of matching signatures in the first level
and significantly improves the overall computational time. As this scheme relies on corner points as the salient feature points
in an image to describe its contents, we also compare results using several different contemporary corner detection methods.
Further, we formally prove that the proposed signature representation scheme not only results in fewer number of signatures
but also does not result in any false negative. |
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