Multi-resolution image retrieval through fusion

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 decomposition algorithms (Haar and Daubechies), and an approach that combines the four configurations (fusion).