Content Based Image Retrieval based on Domain Knowledge Acquisition

Enormous growth has been noted in digital technology over the years and this has led to massive growth in data mainly images and videos, hence with the volume of the data has also increased. Moreover, searching and retrieval of the accurate image from the huge dataset has become eminent as well as one of the challenging issue. In order to solve mainly two technique were used i.e. based on text and content. Moreover, content based is technique that is more efficient. In past several technique were used but they lack from the efficiency. Hence, in this paper we have proposed a methodology based named as DKA (Domain Knowledge Acquisition), DKA focuses on two main goals first is learning the similarities across the varied domain and other is learning on complex objects. The main advantage of DKA is the whether the object is whether from same domain or the other the retrieval process is very smooth. Moreover In order to evaluate the performance we have retrieved the top 5 response of query image and later it is compared with the several state-of-art technique and the existing method based on the precision parameter.