Intelligent multimedia involves the computer processing and understanding of perceptual input from speech, text, videos and images. Reacting to these inputs is complex and involves research from engineering, computer science and cognitive science. Intelligent multimedia processing deals with the analysis of images and videos to extract useful information for numerous applications including medical imaging, robotics, remote sensing, autonomous driving, AR/VR, law enforcement, biometrics, multimedia enhancement and reconstruction, agriculture, and security. Intelligent multimedia processing and computer vision have seen an upsurge over the last few years. With the increasing use of intelligent multimedia processing techniques in various sectors, the requirement for fast and reliable techniques to analyse and process multimedia content is increasing day by day.

• 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