Advanced Image Processing and Video Intelligence Applications

Editors: Ravinder M., Arti Ranjan, Youddha Beer Singh

Advanced Image Processing and Video Intelligence Applications

ISBN: 979-8-89881-592-9
eISBN: 979-8-89881-591-2 (Online)

Introduction

Advanced Image Processing and Video Intelligence Applications focuses on how artificial intelligence and machine learning are transforming visual data processing. The book highlights methods for extracting meaningful information from images and videos to support intelligent decision-making across diverse domains.

It covers core concepts such as image enhancement, segmentation, feature extraction, and object detection, along with advanced topics including deep learning, computer vision, and real-time video analytics. Application areas include healthcare imaging, surveillance systems, autonomous systems, traffic monitoring, and multimedia processing. Practical examples and case studies demonstrate how these techniques are applied in real-world scenarios.


Key Features:

  • - Comprehensive coverage of image processing and video analytics techniques with a focus on both foundational concepts and advanced developments.
  • - Integration of AI, deep learning, and computer vision methods
  • - Real-world case studies and applications across healthcare, security, transportation, and media


Target Readership:

Researchers, postgraduate students, and academicians in computer science, artificial intelligence, and image processing

Preface

In today’s digital era, both images and videos dominate how we communicate, learn, and interpret the world around us. From social media and entertainment to healthcare, agriculture, security, and scientific research, the ability to create, enhance, and analyze visual content has become indispensable. “Advanced Image Processing and Video Intelligence Applications” is a comprehensive exploration of the technologies that empower this visual transformation, offering readers insights into the methods and innovations that are shaping modern life. This book emerges from the recognition of a profound shift: the move from simple image enhancement techniques to advanced, AI-driven frameworks capable of extracting knowledge, detecting patterns, and enabling real-time decision-making from massive streams of visual data. It highlights the dual dimensions of progress: image processing, which refines and restores static visuals, and video intelligence, which unlocks dynamic understanding from continuous frames. Together, these fields are redefining automation, efficiency, and intelligence across industries.

The primary aim of this book is to make advanced concepts in image and video intelligence accessible to a wide readership. It is designed for students, researchers, and professionals in computer science, engineering, and related disciplines, as well as practitioners in fields where visual technologies play a critical role. Each chapter balances technical rigor with practical application, beginning with foundational principles and advancing to deep learning–based approaches, transformer architectures, and emerging multimodal methods. Case studies drawn from domains such as healthcare, transportation, agriculture, and disaster management illustrate how these technologies are solving real-world challenges.

KEY FEATURES:
  • This book is designed to offer a panoramic view of the current state and future prospects of image processing technologies, emphasizing their transformative power across various domains. The book aims not only to educate its readers on the technical aspects but also to provoke thoughtful consideration of the broader impacts of these technologies on society.
  • The aims of this book are to demystify the complex field of image processing and showcase its profound impact on modern society. This book intends to bridge the gap between the intricate technical concepts of image processing and their practical applications across various aspects of everyday life, using image processing technologies such as statistical methods, Machine Learning/Deep Learning Methods, Transformers, and Language Models, including Large Language Models and Small-scale models.
  • This book targets a broad audience, ranging from students and educators in the field of computer science and engineering to industry professionals and technology enthusiasts keen on understanding how image processing technologies are revolutionizing the way we live, work, and interact with the world around us. Further, the book aims to not only educate its readers on the technical and practical aspects of image processing but also to inspire them to consider the future possibilities and ethical dimensions of this rapidly evolving field.


This book certainly motivates the reader to work in the field of Image and Video Intelligence using computer vision. This book may also be used as a reference book for graduates/postgraduate students studying computer science, information technology, and electronics and communication engineering.

Ravinder M.
Department of Computer Science and Engineering
Indira Gandhi Delhi Technical University for Women (IGDTUW)
New Delhi, Delhi
India

Arti Ranjan
Department of Computer Science and Engineering
Niels Brock Copenhagen Business College
Copenhagen, Denmark
Department of Computer Science and Engineering
Indira Gandhi Delhi Technical University for Women (IGDTUW)
New Delhi, Delhi
India

&

Youddha Beer Singh
Department of Computer Science and Engineering
Galgotias College of Engineering and Technology
Greater Noida, Uttar Pradesh
India