The complexity of multimedia contents is significantly increasing in the current digital world.
This yields an exigent demand for develo** highly effective retrieval systems to satisfy …

In order to improve the retrieval accuracy of content-based image retrieval systems, research
focus has been shifted from designing sophisticated low-level feature extraction algorithms …

This book introduces the fundamental concepts of modern digital image processing. It aims
to help the students, scientists, and practitioners to understand the concepts through clear …

In this paper, we propose a method of content-based image classification using a neural
network. The images for classification are object images that can be divided into foreground …

Semantic-based image retrieval has attracted great interest in recent years. This paper
proposes a region-based image retrieval system with high-level semantic learning. The key …

Brain tumor (BT) is a serious issue and potentially deadly disease that receives much
attention. However, early detection and identification of tumor type and location are crucial …

Content-based image retrieval (CBIR), which is aimed to search images from a large size
image database based on visual contents of images in an efficient and accurate way as per …

The amount of user-generated multimedia content (UGC) has increased rapidly in recent
years due to the ubiquitous availability of smartphones, digital cameras, and affordable …

Content based image retrieval is the technique of effective retrieval of digital pictures from an
oversized store of variety of pictures. In CBIR, the focus is mostly on extracting features from …

As multimedia technology is develo** and growing these days, the use of an enormous
number of images and its datasets is likewise expanding at a quick rate. Such datasets can …