Content based image retrieval using Gaussian Lie group spatiogram similarity

In this paper, we apply the spatiogram features to the image retrieval problem using a recent proposed Lie group based similarity measure. The spatiogram features are extracted at HSV space. For each channel of the HSV space, we extract the corresponding spatiogram features separately. Such kind of feature extraction method produce much lower dimension features than extracting features directly on the 3 D HSV space. Then, we compare the images using a recently proposed spatiogram distance measure, which is based on the Lie group theory. We test our algorithm on the corel image retrieval benchmark dataset. Experiments show better performance than the previous proposed spatiogram similarity measure.