Granular Video Computing - Hardcover

Chakraborty Debarati B

Hardcover

ISBN 10: 981122711X ISBN 13: 9789811227110

Publisher: World Scientific Pub Co Inc, 2021

Synopsis

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.

Edition details

• Publisher: World Scientific Pub Co Inc
• Publication date: 2021
• Language: English
• ISBN 10: 981122711X
• ISBN 13: 9789811227110
• Binding: Hardcover
• Number of pages: 223