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Journal of Electronic Imaging

Multiresolution descriptor matching algorithm for fast exhaustive search in norm-sorted databases
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Paper Abstract

To determine the best match to a query image in a database, conventional content-based image retrieval schemes require the exhaustive search, where the descriptor of the query, e.g., the histogram, must be compared with literally all images in the database. However, the straightforward exhaustive search algorithm is computationally expensive. Thus, fast exhaustive search algorithms are required. We present a fast exhaustive search algorithm based on a multiresolution descriptor structure and a norm-sorted database. First, we derive a condition to eliminate unnecessary matching operations from the search procedure by using a norm-sorted structure of the database. Then, we propose a fast search algorithm based on the elimination condition, which guarantees an exhaustive search for either the best match or multiple best matches to a query. With a luminance histogram as a descriptor, we show that the proposed algorithm provides a search accuracy of 100% with a high search speed.

Paper Details

Date Published: 1 October 2005
PDF: 7 pages
J. Electron. Imag. 14(4) 043019 doi: 10.1117/1.2132318
Published in: Journal of Electronic Imaging Volume 14, Issue 4
Show Author Affiliations
Byung Cheol Song, SAMSUNG Electronics Co., Ltd. (South Korea)
Jong Beom Ra, Korea Advanced Institute of Science and Technology (South Korea)

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