Numerous devices for image capture have emerged in the digital environment of the present
day. Using image processing techniques, it is now easier than ever to store a large number …

In this paper, a three stage hierarchical image retrieval scheme using a color, texture and
shape visual contents (or descriptors) is proposed, since single visual content is not produce …

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 …

With the rapid growth in the amount of video data, efficient video indexing and retrieval
methods have become one of the most critical challenges in multimedia management. For …

The quantity of scientific images associated with patient care has increased markedly in
recent years due to the rapid development of hospitals and research facilities. Every hospital …

In the Content-based image retrieval process, the semantic gap is a common challenge and
the existing Bag-of-words approach is used to reduce the semantic gap. However, the …

The increasing size of medical image repositories is due to the increasing number of digital
imaging data sources. Most of the image content descriptors proposed in the literature are …

Various modulated techniques of Content-Based Image Retrieval (CBIR) using deep
learning provide better search outputs even though they are computationally challenging …

This paper presents a novel feature descriptor termed principal component analysis (PCA)-
based Advanced Local Octa-Directional Pattern (ALODP-PCA) for content-based image …

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