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

Chakraborty, Debarati Bhunia, Pal, Sankar Kumar

  • 出版商: World Scientific Pub
  • 出版日期: 2021-02-01
  • 售價: $2,770
  • 貴賓價: 9.5$2,632
  • 語言: 英文
  • 頁數: 256
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 981122711X
  • ISBN-13: 9789811227110
  • 相關分類: DeepLearning物聯網 IoT
  • 立即出貨 (庫存=1)

商品描述

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.

商品描述(中文翻譯)

本書將粒狀計算概念與深度學習和物聯網相結合,應用於視頻分析中的物體追蹤。它描述了如何在粗糙集理論的粒狀計算框架中處理視頻處理任務中的不確定性。本書討論了在受限情況下從視頻中追蹤物體、處理遮擋/重疊、測量追蹤方法的可靠性、視頻場景中的物體識別和語言解釋,以及從視頻中預測事件等問題。本書還探討了在無監督(無需手動交互/標記數據/先驗信息)訓練的情況下減少數據依賴性的方法。本書可作為計算機科學、電氣工程、系統科學、數據科學和信息技術研究生和研究人員的教材和參考書,並且建議計算機視覺、機器學習、視頻分析、圖像分析、人工智能、系統設計、粗糙集理論、粒狀計算和軟計算等領域的學生和從業人員閱讀。