Granular Video Computing
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Book Overview This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis....
This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of video processing, could be handled in rough set theoretic granular computing frameworks. Issues such as object tracking from videos in constrained situations, occlusion/overlapping handling, measuring of the reliability of tracking methods, object recognition and linguistic interpretation in video scenes, and event prediction from videos, are the addressed in this volume. The book also looks at ways to reduce data dependency in the context of unsupervised (without manual interaction/ labeled data/ prior information) training.
This book may be used both as a textbook and reference book for graduate students and researchers in computer science, electrical engineering, system science, data science, and information technology, and is recommended for both students and practitioners working in computer vision, machine learning, video analytics, image analytics, artificial intelligence, system design, rough set theory, granular computing, and soft computing.
Book Details Format: Hardcover | Pages: 256 | Language: English | Publisher: WORLD SCIENTIFIC PUB CO INC | ISBN: 981122711X
FormatHardcover
Pages256
LanguageEnglish
ISBN981122711X
EAN9789811227110
PublisherWORLD SCIENTIFIC PUB CO INC
Publication Date1970-01-01
AccessoriesNo Accessory
ConditionNew
Product TypeHARD COVER BOOKS
Weight1.13 Pounds
Length9.0 Inches
Width6.0 Inches
Height0.63 Inches
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