Image retrieval based on the combination of RGB and HSV's histograms and Colour Layout Descriptor
Javier Poveda Figueroa, Vladimir Robles-Bykbaev · Ingenius · 2012
In this paper we present the first stage of a new approach to improve the precision and recall of the content-based image retrieval task.To do this, we aim to combine three colour features, RGB and HSV histograms, and MPEG-7 Colour Layout Descriptor.To perform the combination, we propose to use an approximation based on Borda Voting-Schemes.Under that the Borda Voting-Schemes needs at least three votes to perform the combination, we intend to use the K-Nearest Neighbors methods to select the candidate images, given a query image.In the second stage, we'll implement our approach using at least three image databases.