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Proceedings Paper

Approximate search in image database
Author(s): Alfredo Ferro; Giovanni Gallo; Rosalba Giugno
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Paper Abstract

This paper present a new approach to content based retrieval in image databases. The basic new idea in the proposed technique is to organize the quantized and truncated wavelet coefficient of an image into a suitable tree structure. The tree structure respects the natural hierarchy imposed on the coefficients by the successive resolution levels. Al the trees relative to the images in a database are organized into a trie. This structure helps in the error tolerant retrieval of queries. The result obtained show that this approach is promising provided that a suitable distance function between trees is adopted.

Paper Details

Date Published: 23 December 1999
PDF: 5 pages
Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); doi: 10.1117/12.373551
Show Author Affiliations
Alfredo Ferro, Univ. di Catania (Italy)
Giovanni Gallo, Univ. di Catania (Italy)
Rosalba Giugno, Univ. di Catania (Italy)


Published in SPIE Proceedings Vol. 3972:
Storage and Retrieval for Media Databases 2000
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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