Artificial Intelligence for Multimedia Information Processing

This book discusses the new standards of multimedia and information processing from several technological perspectives including analytics empowered by AI, streaming on the intelligent edge, multimedia edge caching and AI, services for edge AI, and hardware and devices for multimedia on edge intelligence.

Auteur

Xavier Savarimuthu, S.J., is the Principal of St. Xavier's College Jaipur, Rajasthan, India. He has spent more than two decades in the fields of scientific research, teaching, research, and consultancy in Jesuit higher education institutions like St. Xavier's College (Vice Principal), Kolkata, and St. Joseph's University (Research Director) in Bengaluru. He has taught at Santa Clara University, California, and Saint Joseph's University, Philadelphia, where he held the endowed Donald MacLean Jesuit Chair. Dr. Savarimuthu's academic prowess is reflected in the fact that he was a research assistant and a Fogarty trainee in the University of California, Berkeley's Arsenic Research Program for his doctoral research. He was invited to deliver lectures in Stockholm (Sweden) and Manila (the Philippines). A few more feathers in his cap were added when he delivered invited lectures at the University of Oxford and at the United Nations climate summits while attending the famous COP 21 in Paris (France) and COP 23 in Bonn (Germany). He has presented and published extensively on arsenic pollution in West Bengal, both in India and abroad. His latest article, "The Earth We Want Requires Reconciliation", was published in four languages: French, Spanish, Latin, and English. He has authored a Cambridge University Press textbook titled Fundamentals of Environmental Studies. His second edited volume is Go Green for Sustainability, published by CRC Press/Taylor & Francis Group in Boca Raton, Florida, and Oxford, UK. Artificial Intelligence for Multimedia Information Processing: Tools and Applications is his third book in his lifetime achievement of focusing on current pertinent issues.

Sivakannan Subramani is Assistant Professor at St. Joseph's University, Bangalore. He earned a PhD in medical image processing at the Medical Image Processing Laboratory, Department of Electronics and Instrumentation Engineering, Annamalai University, India, in 2018. He earned a master's of engineering and a bachelor's of engineering at Anna University, Chennai. His primary interests are medical image processing, deep learning, machine learning, data analytics, and ASIC/FPGA. He has more than ten years of academic and seven years of research experience, primarily working on predictive analytics and deep learning, with a main focus on solving real-life problems. He has completed public-funded research projects for the Indian Space Research Organization (ISRO), Defense Research and Development Organization (DRDO), and other client projects as project co-investigator. He has published research articles in various international journals and presented his research at several international conferences. He is a reviewer for several international scientific journals and a member of the Data Science Foundation, Data Science Association, Institute of Electrical and Electronics Engineers, and Institute of Electronics and Telecommunication Engineers, among others.

Alex Noel Joseph Raj earned a BE in electrical engineering at Madras University, India, in 2001, an ME in applied electronics at Anna University in 2005, and a PhD in engineering at the University of Warwick, Coventry, UK, in 2009. From October 2009 to September 2011, he was with Valeport Ltd Totnes, UK, as a design engineer. From March 2013 to March 2017, he was with the Department of Embedded Technology, School of Electronics Engineering, VIT University, Vellore, India, as a professor. Since March 2017, he has been with the Department of Electronic Engineering, College of Engineering, Shantou University, China. His research interests include machine learning, signal and image processing, and FPGA implementations. He specializes in image processing and has industrial and teaching experience in machine learning, deep networks signal and medical image processing, FPGA system design, MATLAB®, Simulink, machine vision systems, sonar systems, and embedded systems. He is constantly looking for dynamic interns and postdocs to join his research team at Shantou University China. His major technical skills are VHDL, MATLAB®, Simulink, C and Embedded C. He has published research articles in various international journals and has presented his research at several international conferences.