Granular video computing (Record no. 97781)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02750nam a2200361 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 00012013 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210220s2021 si ob 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789811227127 |
| -- | (ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | (hbk.) |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.7 |
| 100 1# - AUTHOR NAME | |
| Author | Chakraborty, Debarati B. |
| 245 10 - TITLE STATEMENT | |
| Title | Granular video computing |
| Sub Title | with rough sets, deep learning and in IoT / |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Singapore : |
| Publisher | World Scientific, |
| Year of publication | 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (xxxi, 223 p.) |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Introduction : video processing, granular computing, rough sets, deep learning and Iot -- Partial supervised tracking -- Unsupervised tracking -- Unsupervised occlusion handling -- Trustability measures of tracking algorithms -- Object recognition and deep learning -- Video conceptualization. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "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"--Publisher's website. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Pal, Sankar K. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.worldscientific.com/worldscibooks/10.1142/12013#t=toc |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer vision. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Automatic tracking. |
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