Journal of Information Technology Management

Journal of Information Technology Management

Guest Editorial: Deep Learning for Visual Information Analytics and Management

Document Type : Special Issue: Deep Learning for Visual Information Analytics and Management.

Authors
krishna Kant Singh 1
Ahmed A. Elngar 2
Md Arafatur Rahman 3
1 Associate Prof., Department of ECE, KIET Group of Institutions, Delhi-NCR, Ghaziabad, India.
2 Assistant Prof., Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni Suef, 62511, Egypt.
3 Associate Prof., Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Malaysia.
Abstract
The special issue aims to cover the latest research topics in designing and deploying visual information analytics and management techniques using deep learning. It is intended to serve as a platform to researchers who want to present research in deep learning. The special issue focuses explicitly on deep learning and its application in visual computing and signal processing. It emphasizes on the extent to which Deep Learning can help specialists in understanding and analyzing complex images and signals. The field of Visual Information Analytics and Management is considered in its broadest sense and covers both digital and analog aspects. This involves development of techniques for image analysis, understanding and restoration. Deep learning techniques are effective for visual analytics. Deep learning is a fast growing area and is gaining impetus for application in various fields. Therefore, in this special issue, the objective is to publish articles related to deep learning in various problems of visual information analytics and management.
Keywords
Deep learning
Visual information
Data analytics
Watermarking