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Proceedings Paper

Retrieving similar color images
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Paper Abstract

There is a great demand for efficient tools that can, on the basis of the pictorial content, organize large quantities of images and rapidly retrieve those of interest. With that goal in mind we present a method for indexing complex color images. The basic idea is to exploit image data decomposition and compression based on the standard Haar multiresolution wavelet transform to describe image content. In this way we are able to effectively eliminate data redundancy and concisely represent the salient features of the image in image signatures of predefined lengths. In the retrieval phase image signatures are compared using a similarity measure that the system has 'learned' from user's. Experimental results confirm the feasibility of our approach, which outperforms more standard procedures, in retrieval accuracy and at lower computational costs.

Paper Details

Date Published: 7 September 1998
PDF: 4 pages
Proc. SPIE 3409, Electronic Imaging: Processing, Printing, and Publishing in Color, (7 September 1998); doi: 10.1117/12.324125
Show Author Affiliations
Isabella Gagliardi, Istituto Tecnologie Informatiche Multimediali (Italy)
Raimondo Schettini, Istituto Tecnologie Informatiche Multimediali (Italy)

Published in SPIE Proceedings Vol. 3409:
Electronic Imaging: Processing, Printing, and Publishing in Color
Jan Bares, Editor(s)

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