Content Based Image Retrieval based on Domain Knowledge Acquisition
Feroza D Mirajkar1, Ruksar Fatima2, Shaik A Qadeer3

1Prof. Feroza D Mirajkar, Assistant professor, Department of Electronics and Communication Engineering, Khaja Banda Nawaz College of Engineering, Kalaburagi.
2Dr. Ruksar Fatima, HOD computer science engineering, vice-principal, Khaja Banda Nawaz College of Engineering, Kalaburagi.
3Dr. Shaik A Qadeer, Professor, Muffakham Jah College of Engineering and Technology, Hyderabad.

Manuscript received on October 16, 2019. | Revised Manuscript received on 25 October, 2019. | Manuscript published on November 10, 2019. | PP: 5336-5349 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4176119119/2019©BEIESP | DOI: 10.35940/ijitee.A4176.119119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: 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.
Keywords: CBIR, DKA, Image Retrieval
Scope of the Article: Signal and Image Processing