Artificial Intelligence for Multimedia Information Processing
Tools and Applications

Advances in artificial intelligence (AI), widespread mobile devices, internet technologies, multimedia data sources, and information processing have led to the emergence of multimedia processing. Multimedia processing is the application of signal processing tools to multimedia data?text, audio, images, and video?to allow the interpretation of these data, particularly in urban and smart city environments. 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.

FEATURES

• Covers a wide spectrum of enabling technologies for AI and machine learning for multimedia and information processing
• Includes many applications using AI, from robotics and driverless cars to environmental, human health, and remote sensing
• Presents an overview of the fundamentals of AI and multimedia processing: imaging, signal, and speech
• Explains new models and architectures for multimedia streaming, services, and caching for AI
• Discusses the emerging paradigms of the deployment of hardware and devices for multimedia on edge intelligence
• Gives recommendations for future research in multimedia and AI

This book is written for engineers and graduate students in image and signal processing, information processing, environmental engineering, medical and public health, etc., who are interested in machine learning, deep learning, and multimedia processing.

Section I: AI-Multimedia Information Processing. 1. Monitoring Ancient Buildings Using UAV and Instant Image Segmentation Using Masked R-CNN. 2. AI-Assisted Digital Forensics for Securing Industry 4.0 Assets. 3. State-of-the-Art Analysis in Reversible Data Hiding Techniques. 4. The Intelligent Research Laboratory: Artificial Intelligence/Machine Learning Methods for Chemists. Section II: AI and Its Applications in Public Health. 5. MLACP 2.0: Utilizing Machine Learning to Predict Anticancer Peptide Activity from Protein Peptide Patterns. 6. An AI-Based Diagnostic System to Predict BI-RADS Scores for Detecting Breast Cancer over Mammograms. 7. Optimization Techniques and Their Applications in Prenatal Congenital Heart Defects: A Survey. 8. Analyzing Aortic Stenosis Diagnosis and Medication with Artificial Intelligence. 9. A Study of the Role of Artificial Intelligence in Monitoring Environmental and Health Issues in the Post-COVID-19 Pandemic Era for Sustainable Living. 10. Cerebral Palsy Detection Using Vision Impairment and Machine Learning. 11. ECG-Based Diagnosis of Sudden Cardiac Death Using Machine Learning. Section III: AI and Its Applications in Environmental Science. 12. AI in Environmental Applications. 13. Automation of Adsorption Processes Using AI: Recent Trends and Prospects. 14. Application of Machine Learning Algorithms in the Field of Bioacoustics. Section IV: AI and Its Applications in the Automobile Industry. 15. Driverless Car Using AI. Section V: AI and Computer Vision. 16. Comparative Analysis of Feature-Based Image Stitching Algorithms. Section VI: AI and Its Applications in Material Science. 17. Revolutionizing Concrete Engineering: Predicting Material Properties with AI Insights.

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, Annamal