Retrieval of Images Using Mean-Shift and Gaussian Mixtures Based on Weighted Color Histograms
Mohamed Ali Bouker, Éric Hervet · 2011
The topic of this paper is Content-Based Image Retrieval (CBIR) based on colors as a content image descriptor. The tool we developed to that purpose modelizes the colors of an image as a set of 2D Gaussian distributions based on weighted color histograms. Then, given a reference image proposed by a user, the system can automatically classify the image and provide the user with the most similar images to the reference image in its category. Experiments with Corel-1000 dataset demonstrate that our method outperforms the known implementations.