Personalized ontology-based semantic annotation and retrieval of image model

Abstract

In order to solve the problem that it is difficult to implement semantic retrieval of image,a novel ontology-cored semantic annotation and retrieval model of image was proposed,which constructed a personalized ontology to describe image,extracted the image semantic features based on the concept set and used inter-relationship "Is-A" of ontology to measure the similarity between the images and query.The difficulty lies in the personalized evolution of the top ontology,as well as the semantic similarity measure based on concept set and inter-relationship " Is-A ".This model was implemented and some related experiments were carried out.The experimental results validate the retrieval accuracy as high as 88.6%,significantly higher than the traditional keyword-based and generic ontology-based image retrieval models,which realized intelligent retrieval of image.