Every second, millions of users across the world share and download an enormous quantity
of multimedia content produced by different image capture devices. The substantial amount …

Content-based image retrieval (CBIR) is an automated process that seeks to retrieve
similar/closer images from a large-scale image collection by extracting visual content from …

The recent era has witnessed exponential growth in the production of multimedia data which
initiates exploration and expansion of certain domains that will have an overwhelming …

Content-based image retrieval (CBIR) is a process of retrieving images based on their
content in a dataset automatically. CBIR is a common solution to search images similar to a …

Rapid growth of multimedia, storage systems and digital computers has resulted in
repositories of multimedia content and large image in recent years. The hospitals with …

Applications for retrieving similar images from a large collection of images have increased
significantly in various fields with the rapid advancement of digital communication …

The rapid development of image processing in medical field is increased due to information
technology and its impact over data analysis. Retrieval of medical images increased the …

The rapid advancement and exponential evolution in the multimedia applications raised the
attentional research on content-based image retrieval (CBIR). The technique has a …

This Efficient Systems are the requirement of this digitalized word due to its numerous
applications. This Digital World spurts images and raises systems' demand to deal with the …

This paper introduces an information retrieval model to solve the semantic gap problem in
content-based image retrieval. The proposed model aims to eliminate the semantic gap by …