GRANULAR VIDEO COMPUTING: with Rough Sets, Deep Learning and in IoT - Hardcover

Chakraborty Debarati B

 
9789811227110: GRANULAR VIDEO COMPUTING: with Rough Sets, Deep Learning and in IoT
Hardcover
ISBN 10: 981122711X ISBN 13: 9789811227110
Verlag: World Scientific, 2021

Inhaltsangabe

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.

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Verlag
World Scientific
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
981122711X
ISBN 13 
9789811227110
Einband
Gebundene Ausgabe
Anzahl der Seiten
256
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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