Semantic Classification and Annotation of Images

Abstract

With the rapid growth of image collections, content-based image retrieval (CBIR) has been an active area of research with notable recent progress. However, automatic image retrieval by semantics still remains a challenging problem. In this chapter, the authors will describe two promising techniques towards semantic image retrieval—semantic image classification and automatic image annotation. For each technique, four aspects are presented: task definition, image representation, computational models, and evaluation. Finally, they will give a brief discussion of their application in image retrieval.