Framework for image retrieval using protégé

ISSN: 22498958
Citations of this article
Mendeley users who have this article in their library.


Image Retrieval (IR) is the elementary requirement in present scenario as huge amount of images of different types are being added in database from different sources. For retrieval of the particular image, different kinds of processing are required to extract the relevant features from them. The Text Based Image Retrieval (TBIR) adopts the method of appending descriptions and keywords to the images which act as an alternative for the annotation words in providing exact or similar results. In order to overcome the limitations of traditional methods, the trending research study named Content Based Image Retrieval (CBIR) can be adopted. The ideology of CBIR relies on retrieving similar images from the training set using the image features like shape, texture and color. A hybrid approach named semantic based image Retrieval (SBIR) is proposed for the efficient retrieval of images by including the semantic descriptions from TBIR and the low level features of CBIR to reduce the semantic gap. In this paper, the tool named protégé is elaborated to handle the accurate results basing on RDF and OWL.




Gautami Latha, A., Srinivas, Y., & Satyanarayana, C. (2019). Framework for image retrieval using protégé. International Journal of Engineering and Advanced Technology, 8(5), 2420–2425.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free