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Full Description
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.
Intelligent Multimedia Processing and Computer Vision: Techniques and applications reviews cutting edge research in the areas of intelligent multimedia processing and computer vision techniques and applications with a particular emphasis on interdisciplinary approaches and novel solutions. The book is aimed at practicing engineers, scientists, technology professionals, researchers and advanced students in the fields of multimedia processing and security, image processing, computer vision, biometrics, intelligent and smart technologies, machine learning and deep learning, and autonomous systems.
Contents
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
