Intelligent Multimedia Processing and Computer Vision

Shyam Singh Rajput is an assistant professor at the Department of Computer Science & Engineering (CSE), National Institute of Technology Patna, India. His research interests include image processing, computer vision, ad-hoc networks, and information security. He has published over 45 journal and conference papers in the areas of image processing, computer vision, wireless ad-hoc networks, and information security. He holds an Indian Patent and has edited a book on Digital Image Enhancement and Reconstruction. He is a member of the IEEE and the ACM. He earned his PhD degree in CSE from the ABV-Indian Institute of Information Technology and Management, Gwalior, India. Chen Chen is an assistant professor at the Center for Research in Computer Vision (CRCV), University of Central Florida, USA. His main research interests include computer vision, image and video processing and machine learning. He is an associate editor for the IEEE Journal on Miniaturization for Air and Space Systems, Journal of Real-Time Image Processing, Signal, Image and Video Processing, and Sensors Journal. He is a member of the SIAM, IEEE, ACM, and IET. He holds a PhD degree in electrical engineering from the University of Texas at Dallas, USA. Karm Veer Arya is a professor at the ABV-Indian Institute of Information Technology & Management (IIITM), Gwalior, India. He has published several books including Security in Mobile Ad-hoc Networks, Emerging Wireless Communication and Biometric Computing, as well as book chapters and over 200 journal and conference papers in the areas of image processing, biometrics, and information security. He is on the editorial board of international journals and is a member of organizing committees and programs committee for conferences and workshops. He is a senior member of the IEEE, fellow of the IETE, fellow of the IE and life member of the ISTE. He holds a PhD degree in Computer Science and Engineering from the Indian Institute of Technology Kanpur, India.

Chapter 1: Introduction
Chapter 2: State-of-the-art analysis of deep learning techniques for image segmentation
Chapter 3: Biometric-based computer vision for boundless possibilities: process, techniques, and challenges
Chapter 4: Channel refinement of fingerprint pre-processing models
Chapter 5: A review of deep learning approaches for video-based crowd anomaly detection
Chapter 6: Natural language and mathematical reasoning
Chapter 7: AI and machine learning in medical data processing
Chapter 8: Progress of deep learning in digital pathology detection of chest radiographs
Chapter 9: Computer vision and modern machine learning techniques for autonomous driving
Chapter 10: Dehazing and vision enhancement: challenges and future scope
Chapter 11: Machine learning and revolution in agriculture: past, present and future
Chapter 12: AI- and ML-based multimedia processing for surveillance
Chapter 13: Action recognition techniques
Chapter 14: Conclusion