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 $78
Printed Copy: US $54
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


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.


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


This book aims to explore the various applications and use cases of Video Data Analytics and processing for Smart City Applications. Everyday things are embedded together with the help of software, and sensors through the internet to collect and exchange data. Hence these devices generate a massive amount of data. The smart city paradigm entirely depends on data. In the context of video data, cameras capture huge data, and later these video recordings are effectively used in various smart city applications such as surveillance systems to counter potential threats. The generated data is heterogeneous and sparse in most cases. The processing of this Big Data in real-time is a matter of concern. With the participation of multimedia sensors, it is possible to obtain more precise and concrete information. Enormous challenges come in the data collection, analysis, and distribution.Various trending technologies like Machine Learning and Deep Learning are contributing to real-time data processing. Hence, these technologies should also be explored for efficient processing.

The video analytics field is continuously in evolution, because of speedy hardware and software progress that is making the technology more reachable and valued. To transform a large amount of video into actionable intelligence as complementary mechanisms, an effective algorithm and model are required. The book will provide comprehensive coverage of the latest and trending technologies like machine learning, deep learning, blockchain, AI, etc.

The book will highlight the advances and trends in various technologies by targeting the research and industry that are involved in video data analytics via addressing extensive themes. This book will surely demonstrate how technologies are serving their use-cases in the smart city. Interested researchers and academicians will get to know about the latest happenings and research, and more research possibilities can be explored. The industry professional may also benefit from this book by connecting the research with industry needs. This book will be proven as a useful resource for the target audience by outlining the promising future research and providing references to newcomers in the field of video data analytics.

Abhishek Singh Rathore
Department of Computer Science & Engineering, Faculty of Science,
Shri Vaishnav Vidyapeeth Vishwavidyalaya,
Indore, India

Surendra Rahamatkar
Faculty of Engineering & Technology, Faculty of Information Technology,
Amity School of Engineering & Technology, IQAC
Amity University- Chhattisgarh,
Raipur, India

Syed Imran Ali
Engineering Department, Computer Engineering,
University of Technology and Applied Sciences,
Al Musannah,
Sultanate of Oman

Ramgopal Kashyap
Department of Computer Science & Engineering,
Amity University Chhattisgarh,
Raipur, India

Nand Kishore Sharma
Department of Computer Science & Engineering,
Pranveer Singh Institute of Technology,
Kanpur, (U.P.),