Image segmentation is the method of partitioning an image into a group of pixels that are
homogenous in some manner. The homogeneity dependents on some attributes like …

Content-based video retrieval and indexing have been associated with intelligent methods
in many applications such as education, medicine and agriculture. However, an extensive …

Image segmentation methodology is a part of nearly all computer schemes as a pre-
processing phase to excerpt more meaningful and useful information for analysing the …

One of the core features of Intelligent Edge Computing (IEC) is real-time decision making,
therefore low delay is more important for IC design under IEC architecture. And in very large …

The recent increase in the number of videos available in cyberspace is due to the availability
of multimedia devices, highly developed communication technologies, and low-cost storage …

Fog Computing has emerged as a pivotal technology for enabling low-latency, context-
aware, and efficient computing at the edge of the network. Effective task scheduling plays a …

The aim of this study is to evaluate the performance of BP neural network techniques in
predicting earthquakes occurring in the region of Himalayan belt (with the use of different …

The proliferation of multimedia devices over the Internet of Things (IoT) generates an
unprecedented amount of data. Consequently, the world has stepped into the era of big …

With the increasing growth of multimedia data, the current real-world video sharing websites
are being huge in repository size, more specifically video databases. This growth …

Medical images and videos are utilized to discover, diagnose and treat diseases. Managing,
storing, and retrieving stored images effectively are considered important topics. The rapid …