Editors: Suman Kumar Swarnkar, Sapna Singh Kshatri, Swarnkar Virendra Kumar, Tien Anh Tran

Series Title: Artificial Intelligence and Multimedia Data Engineering

Artificial Intelligence and Multimedia Data Engineering - Volume 1

Volume 1

eBook: US $39 Special Offer (PDF + Printed Copy): US $72
Printed Copy: US $52
Library License: US $156
ISBN: 978-981-5196-45-0 (Print)
ISBN: 978-981-5196-44-3 (Online)
Year of Publication: 2023
DOI: 10.2174/97898151964431230101


This book explains different applications of supervised and unsupervised data engineering for working with multimedia objects. Throughout this book, the contributors highlight the use of Artificial Intelligence-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, automation in vehicle manufacturing, data science and automation in electronics industries.

The book presents seven chapters which present use-cases for AI engineering that can be applied in many fields. The book concludes with a final chapter that summarizes emerging AI trends in intelligent and interactive multimedia systems.

Key features:

  • - A concise yet diverse range of AI applications for multimedia data engineering
  • - Covers both supervised and unsupervised machine learning techniques
  • - Summarizes emerging AI trends in data engineering
  • - Simple structured chapters for quick reference and easy understanding
  • - References for advanced readers

This book is a primary reference for data science and engineering students, researchers and academicians who need a quick and practical understanding of AI supplications in multimedia analysis for undertaking or designing courses. It also serves as a secondary reference for IT and AI engineers and enthusiasts who want to grasp advanced applications of the basic machine learning techniques in everyday applications.


Welcome to "Artificial Intelligence and Multimedia Data Engineering Vol. 1". In this book, we embark on a captivating journey through the cutting-edge realms of artificial intelligence (AI) and multimedia data engineering, exploring the remarkable synergies that exist between these two rapidly evolving fields. This fusion of AI and multimedia data engineering has opened up unprecedented opportunities for innovation and has profoundly impacted various industries, making it essential for researchers, practitioners, and enthusiasts alike to stay at the forefront of this dynamic landscape.

Advancements in AI, coupled with the explosive growth of multimedia data, have revolutionized the way we interact with technology and perceive the world around us. From computer vision and natural language processing to deep learning and intelligent systems, AI has become an indispensable part of our lives, shaping our experiences in ways we could have only imagined a few decades ago. Furthermore, multimedia data, including images, videos, audio, and other sensor-generated content, has become an integral part of our digital existence, leading to the creation of a vast ocean of information that needs to be efficiently processed and harnessed.

The primary aim of this book is to present a comprehensive overview of the interdisciplinary domain that intertwines AI and multimedia data engineering. Our endeavor is to provide a well-rounded understanding of the fundamental concepts, techniques, and applications that form the bedrock of this exciting field. Whether you are a seasoned professional seeking to expand your knowledge or a newcomer eager to explore the frontiers of AI and multimedia data engineering, this book caters to a wide audience with diverse interests and backgrounds.

Suman Kumar Swarnkar
Shri Shankaracharya Institute of Professional
Management and Technology
Raipur, Chhattisgarh, India

Sapna Singh Kshatri
Shri Shankaracharya Institute of Professional
Management and Technology
Raipur, Chhattisgarh, India

Virendra Kumar Swarnkar
Bharti University
Durg Chhattisgarh, India


Tien Anh Tran
Vietnam Maritime University
Haiphong, Vietnam