Intelligent Multimedia Processing and Computer Vision Techniques and applications

• Main Authors: Rajput, Shyam Singh, Chen, Chen, Arya, Karm Veer
• Format: eBook
• Language: English
• Published: Stevenage The Institution of Engineering and Technology 2023; Institution of Engineering and Technology (The IET); Institution of Engineering & Technology; Institution of Engineering and Technology
• Edition: 1
• Series: Computing and networks
• Subjects: Artificial intelligence; Computer vision; Computer Vision & Pattern Recognition; COMPUTERS; Data capture & analysis; General References; Machine learning; Multimedia systems; Software Engineering
• ISBN: 1839537256; 9781839537257
• DOI: 10.1049/PBPC064E

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.