Granular Video Computing:With Rough Sets,Deep Learning and in Iot


Granular Video Computing:With Rough Sets,Deep Learning And In Iot
by:Debarati Bhunia Chakraborty and Sankar Kumar Pal
Publisher Finelybook 出版社:World Scientific Pub Co Inc (March 3,2021)
Language 语言:English
pages 页数:223 pages
ISBN-10 书号:981122711X
ISBN-13 书号:9789811227110

Book Description
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.

资源下载
免费资源
文件1地址点击下载
觉得文章有用就打赏一下
未经允许不得转载:finelybook » Granular Video Computing:With Rough Sets,Deep Learning and in Iot

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下

非常感谢你的打赏,我们将继续给力更多优质内容,让我们一起创建更加美好的网络世界!

支付宝扫一扫打赏

微信扫一扫打赏