Content-based image retrieval: Some basics

Abstract

Image collections are growing at a rapid rate, motivating the need for efficient and effective tools to query these databases. Content-based image retrieval (CBIR) techniques extract features directly from image data and use these, coupled with a similarity measure, to search through image collections. In this paper, we introduce some of the basic image features that are used for CBIR. © 2011 Springer-Verlag Berlin Heidelberg.