Editors: Abhishek Singh Rathore, Surendra Rahamatkar, Syed Imran Ali, Ramgopal Kashyap, Nand Kishore Sharma

Series Title: IoT and Big Data Analytics

Video Data Analytics for Smart City Applications: Methods and Trends

Volume 1

eBook: US $49 Special Offer (PDF + Printed Copy): US $84
Printed Copy: US $59
Library License: US $196
ISSN: 2972-4147 (Print)
ISSN: 2972-4155 (Online)
ISBN: 978-981-5123-71-5 (Print)
ISBN: 978-981-5123-70-8 (Online)
Year of Publication: 2023
DOI: 10.2174/97898151237081230101

Introduction

Video data analytics is rapidly evolving and transforming the way we live in urban environments. In Video Data Analytics for Smart City Applications: Methods and Trends , data science experts present a comprehensive review of the latest advances and trends in video analytics technologies and their extensive applications in smart city planning and engineering.

The book covers a wide range of topics including object recognition, action recognition, violence detection, and tracking, exploring deep learning approaches and other techniques for video data analytics. It also discusses the key enabling technologies for smart cities and homes and the scope and application of smart agriculture in smart cities.

Moreover, the book addresses the challenges and security issues in terahertz band for wireless communication and the empirical impact of AI and IoT on performance management. One contribution also provides a review of the progress in achieving the Jal Jeevan Mission Goals for institutional capacity building in the Indian State of Chhattisgarh.

For researchers, computer scientists, data analytics professionals, smart city planners and engineers, this book provides detailed references for further reading and demonstrates how technologies are serving their use-cases in the smart city. The book highlights the advances and trends in video analytics technologies and extensively addresses key themes, making it an essential resource for anyone looking to gain a comprehensive understanding of video data analytics for smart city applications.

Audience:

Researchers, computer scientists, data analytics professionals, smart city planners and engineers

Foreword

Data is everything and nowadays, Big Data and Big Data Analytics are given more attention in the field of research. The smart city paradigm completely relies on data and smart frameworks. This framework comprehends the physical infrastructure, networking system, centralized computing center, data storage, and higher-level domain use-cases. The physical infrastructure requires sensors, devices, and cameras to capture and generate data. In the smart city, also known as an innovative city, the devices and sensors involved in smart city applications generate a massive amount of multi-media data especially Video Data. The involvement of multimedia sensors enables to obtain precise and concrete information. This book titled “IoT and Big Data Analytics” Vol. 1 (Video Data Analytics for Smart City Applications: Methods and Trends) aims to explore the various applications and use cases of Big Data & Analytics and processing for smart city applications. The technologies like Machine Learning, Deep Learning, IoT, WSN, IoT, and AI have been contributing to the application and efficient processing of data. Object detection and tracking, intelligent processing, video compression, the performance of IoT & AI in business growth, key enabling technologies and video analytics need to be explored more. The information processing is both challenging and interesting. The researchers are working with passion, and dedication to develop new methods and algorithms for information analysis and to provide a solution to remain in the new direction. The book will provide a valuable window and wide-ranging exposure to concerned technologies and their architectural frameworks for smart city applications. How these technologies are serving themselves to fulfilling the needs of a smart city is also discussed, for the research and industry personnel. This book is a good step in that direction and will surely help researchers to find relevant information in one place.

Vishal Nagar
Department of Computer Science & Engineering,
Pranveer Singh Institute of Technology,
Kanpur,
India