A New Content-based Image Retrieval Using Color Correlogram and Inner Product Metric

The color correlogram is a simple statistical descriptor of a color image that has been widely used for content-based image retrieval (CBIR) systems. To measure similarity between two images using the correlogram, the traditional approaches use the relative distance. In this paper, to improve performance of the CBIR systems, the inner product metric is used to measure similarity of images instead of the relative distance. Results of experiments proved that the CBIR using the inner product metric has better performance than the one using the relative distance.