Multimedia and Multimodal Intelligence for Sustainable Development

The multimodal and multimedia data need to be secured and preserved properly in the present scenario. The methodologies proposed in the book will offer a new paradigm in AI-based techniques. With these approaches, the social good of modern society will be enhanced. Multimedia, multimodal data and intelligent systems will deliver insightful comments for sustainable development. Therefore, these challenges have proven exciting for multimedia and multimodal AI researchers. These facts served as the impetus for the writing of this book, which is intended for researchers who fulfill modern society’s requirements.

Key Features:

• Emphasis on interdisciplinary approaches, novel techniques and solutions to provide recent advancements in multimedia and multimodal intelligence for sustainable development of modern society.
• Includes new concepts, state-of-the-art security approaches, theories and practices focusing on multimedia and multimodal intelligence for modern society.
• Highlights the security of multimodal data utilizing a fusion of artificial intelligence and soft computing techniques.

The book can be used as a reference book for practicing engineers, scientists, researchers and technologists. It will also be helpful for senior undergraduate and graduate students, practitioners from government and industry and professionals working on state-of-the-art multimedia and multimodal intelligence solutions for modern society applications.

Vinay Kumar SRIVASTAVA received the BE degree in Electronics and Telecommunication Engineering from Govt. Engineering College Rewa, MP, India, in 1989, the M.Tech. degree in Communication Engineering from IIT BHU, Varanasi, India, in 1991, and a Ph.D. degree in Electrical Engineering from IIT Kanpur, India, in 2001. After spending a brief period in Indian Telephone Industries Limited, Naini, Allahabad, as an Assistant Executive Engineer, he joined Motilal Nehru National Institute of Technology (MNNIT) Allahabad, India, as Lecturer in 1992, where he became Assistant Professor in 2001, Associate Professor in 2006, and Professor in 2010. He has about 30 years of teaching and research experience. He has supervised several B.Tech. projects, M.Tech. theses, and Ph.D. theses. Till now, he has 68 journals, 55 conferences, and 13 chapters. He serves as the session chair of many reputed conferences such as IEEE International Conference on Industrial Technology, All India Seminar on Advances in Product Development at Motilal Nehru National Institute of Technology, Allahabad, National Workshop on Inclusive Technical Education in National Context: Challenges and Solutions, Conference on Engineering and Systems, and International Conference on Power, Control, and Embedded Systems. He developed two labs (Development of DSP Lab and setting up all the experiments in DSP Lab, Computer Architecture Lab) for undergraduates, and one lab (Development of DSP Lab and setting up all the experiments in DSP Lab) for postgraduates and doctoral students. His research areas include signal and image processing, digital image watermarking, compression, multimedia security, and data hiding.

Priyank KHARE received his B.Tech. degree in Electronics & Communication Engineering from Uttar Pradesh Technical University in 2009, M.Tech. in Digital Systems in 2014, and a Ph.D. degree in Electronics & Communication Engineering from the Motilal Nehru National Institute of Technology, Allahabad, India. He is currently employed as Assistant Professor in the Electronics and Communication Engineering Department at the Indian Institute of Information Technology Ranchi, Ranchi, India. He has authored more than 25 research papers in reputed international journals and conferences. Apart from this, he is currently a reviewer of reputed SCI journals such as Expert Systems with Applications, Multimedia Tools and Applications, Computers & Electrical Engineering, Knowledge-Based Systems, Signal, Image and Video Processing, Alexandria Engineering Journal, Optics and Laser Technology, Signal Processing, Biomedical Signal Processing and Control, International Journal of Information Management Data Insights, and Digital Signal Processing. He has chaired international conferences as session chair and also served as a reviewer for many renowned conferences globally. He has guided more than ten UG dissertations. His research interests include digital image processing, digital image watermarking, multimedia security, and data hiding techniques.

Divyanshu AWASTHI received his B.Tech. in ECE from the University of Allahabad, India, in 2018, M.Tech. in Signal Processing from Motilal Nehru National Institute of Technology Allahabad, India, in 2021, and Ph.D. from Motilal Nehru National Institute of Technology Allahabad, India, in 2024. Presently, he is working as Assistant Professor in the Department of Electronics and Communication Engineering at GLA University Mathura, India. Till now, he has 22 journals, seven conferences, and six chapters. He served as the session chair in the International Conference on Communication Control and Intelligent Systems, publicity chair in the International Conference on Electronics, Computer, Physical and Chemical Sciences, and member of the Organizing Committee at the International Conference on Microwave, Antenna, and Communication. He served as the reviewer of many reputed journals such as Biomedical Signal Processing and Control, Engineering Applications of Artificial Intelligence, Digital Signal Processing, Scientific Reports, IEEE Access, Transactions on Emerging Telecommunications Technologies, The Imaging Science Journal, Circuits, Systems, and Signal Processing, Cluster Computing, and Signal, Image and Video Processing. He also served as the reviewer of many conferences such as Computer Vision and Image Processing, International Conference on Microwave, Antenna and Communication, and International Conference on Intelligent Computing, Ningbo, China. He is working on projects related to digital image watermarking and information security. His areas of interest are digital image processing, signal processing, data hiding, cryptography, and deep learning.

Lalit GARG is Associate Professor of Computer Information Systems at the University of Malta, Malta, and an Honorary Lecturer at the University of Liverpool, UK. He has been a researcher at the Nanyang Technological University, Singapore, and Ulster University, UK. Prof. Garg has supervised more than 200 master’s dissertations, two DBA, and five Ph.D. theses, and published 150+ high-impact publications in refereed journals, conferences, and books, 17 edited books, and 22 patents. He has delivered numerous keynote speeches, organized and chaired international conferences, and consulted countless public and private organizations for information systems implementation and management. His research interests are business intelligence, machine learning, data science, deep learning, cloud computing, mobile computing, the Internet of Things (IoT), information systems, management science, and their applications, mainly in healthcare and medical domains. He participates in many EU and locally funded projects, including a one- million-euro Erasmus+ Capacity-Building Project in Higher Education (CBHE), titled Training for Medical Education via Innovative eTechnology (MediTec), and Malta Council of Science and Technology’s Space Research Funds. The University of Malta has awarded him the 2021–22 Research Excellence Award for exploring novel intelligent computing methods for healthcare requirements forecasting, allocation, and management (NICE-Healthcare). He also serves as an editorial board member of many reputed journals such as International Journal of System Assurance Engineering and Management, PeerJ Computer Science, BMC Medical Informatics and Decision Making, Computer Systems Science and Engineering, Frontiers in Medicine Regulatory Science, and Frontiers in Computational Neuroscience. He chaired many conferences such as International Conference on Information Systems and Management Science, International Conference on Applications of AI in 5G and IoT, and International Conference on Information Systems and Management Science.