CoMo: A Compact Composite Moment-Based Descriptor for Image Retrieval

Abstract

Low level features play a vital role in image retrieval. Image moments can effectively represent global information of image content while being invariant under translation, rotation, and scaling. This paper briefly presents a moment based composite and compact low-level descriptor for image retrieval. In order to test the proposed feature, the authors employ the Bag-of-Visual-Words representation to perform experiments on two well-known benchmarking image databases. The robust and highly competitive retrieval performances, reported in all tested diverse collections, verify the promising potential that the proposed descriptor introduces.