Paper
18 December 2003 Multiresolution image retrieval through fusion
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Abstract
In this paper, we consider the problem of searching large image databases on the basis of the similarity between a query image submitted to the system and a set of target images in a database. In particular, we propose a system that combines results from several independent query configurations run in parallel. We provide a comparative analysis of performance of the individual configurations, which include four combinations of two color spaces (RGB and YIQ) and two wavelet composition algorithms (Haar and Daubechies), and an approach that combines the four configurations (fusion).
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vladimir Nikulin and George Bebis "Multiresolution image retrieval through fusion", Proc. SPIE 5307, Storage and Retrieval Methods and Applications for Multimedia 2004, (18 December 2003); https://doi.org/10.1117/12.532599
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Cited by 2 scholarly publications.
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KEYWORDS
Wavelets

Databases

Image fusion

Image retrieval

Visualization

RGB color model

Image resolution

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