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Více informací o knize Intelligent Multimedia Processing and Computer Vision: Techniques and Applications

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Plný název: Intelligent Multimedia Processing and Computer Vision: Techniques and Applications
• Autor: Chen Chen, Karm Veer Arya
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 400
• EAN: 9781839537257
• ISBN: 1839537256
• ID: 43740897
• Nakladatelství: INSTITUTION OF ENGINEERING & T
• Hmotnost: 693 g
• Datum vydání: 01. December 2023

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