Selective color image retrieval based on the Gaussian mixture model

In this paper a novel technique of color based image retrieval is proposed. The image is represented by Gaussian mixtures of the set of histograms corresponding to the spatial location of the color regions within the image. The proposed approach enables to express user's needs concerning the specified color arrangements of the retrieved images, in form of the colors belonging to the eleven basic color groups along with their spatial locations. The solution proposed in this paper utilizes the mixture modeling of the information of each set of the color channels. Experimental results show that the proposed method is efficient and flexible, when specific user's requirements are considered.