Annotated Image Retrieval System Based on Concepts and Visual Property

Semantic content implies more than the simple identification of objects. Techniques for content-based image retrieval are not yet mature enough to recognize visual semantics completely. Therefore, it is necessary to use captions or text information attached to photos in the content-based information access of visual data. However, keyword-based retrieval is limited to the level of syntactic pattern matching. In other words, dissimilarity computation among terms is usually done by using string matching not concept matching. In this paper, we present a solution for retrieving images semantically, by means of the qualitative measurement of annotated keywords and also with the use of the spatial color distribution model.