Advanced Image Processing and Video Intelligence Applications

Ravinder M., Arti Ranjan, Youddha Beer Singh

• Publisher: Bentham Science Publishers
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9798898815912
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

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

Table of contents

• Welcome
• Table of Contents
• Title
• BENTHAM SCIENCE PUBLISHERS LTD.
• FOREWORD
• PREFACE
• List of Contributors
• Integrating Image Processing and Deep Learning for Effective Image Dehazing
• Deep Learning-based Approaches for Addressing Imbalance in Breast Cancer Image Datasets: Challenges, Opportunities, and Open Issues
• Ancient Indian Scripts Identification: A Machine Learning and NLP Approach
• A Deep Learning Approach for Geopolitical Entities Extraction from Indian Election Data
• An Efficient Remote Patient Monitoring: The Convergence of Blockchain and Artificial Intelligence
• Handwritten English Character and Digit Recognition using Deep Learning Techniques (CNN and SVM)
• Artificial Neural Network Applications for Intelligent Transportation Systems
• Advanced Image Analysis Techniques Using Machine Learning and Transformers
• Intelligent Agricultural Monitoring Framework Based on Machine Learning Techniques
• Artificial Intelligence for Image-based Weed Identification in Agriculture
• A Machine Learning-based Approach for Smart Agriculture Monitoring and Decision Support
• The Indispensable Contribution of Satellite Imagery to Disaster Management: Insights and Perspectives
• PyroVisor D3ML-based Intelligent De-Hazing Algorithm
• Integration of Computer Vision Systems in Robotics and Assembly Lines
• Smart Farming with Deep Learning: Enhancing Crop Management through Advanced Image Analysis