Intelligent Image and Video Analytics
eBook - ePub

Intelligent Image and Video Analytics

  1. 368 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Intelligent Image and Video Analytics

About this book

Video has rich information including meta-data, visual, audio, spatial and temporal data which can be analysed to extract a variety of low and high-level features to build predictive computational models using machine-learning algorithms to discover interesting patterns, concepts, relations, and associations. This book includes a review of essential topics and discussion of emerging methods and potential applications of video data mining and analytics. It integrates areas like intelligent systems, data mining and knowledge discovery, big data analytics, machine learning, neural network, and deep learning with focus on multimodality video analytics and recent advances in research/applications.

Features:

  • Provides up-to-date coverage of the state-of-the-art techniques in intelligent video analytics.

  • Explores important applications that require techniques from both artificial intelligence and computer vision.

  • Describes multimodality video analytics for different applications.

  • Examines issues related to multimodality data fusion and highlights research challenges.

  • Integrates various techniques from video processing, data mining and machine learning which has many emerging indoors and outdoors applications of smart cameras in smart environments, smart homes, and smart cities.

This book aims at researchers, professionals and graduate students in image processing, video analytics, computer science and engineering, signal processing, machine learning, and electrical engineering.

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Yes, you can access Intelligent Image and Video Analytics by El-Sayed M. El-Alfy, George Bebis, Mengchu Zhou, El-Sayed M. El-Alfy,George Bebis,Mengchu Zhou in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Editor's Biography
  8. List of Figures
  9. List of Tables
  10. Contributors
  11. 1 Video Demographic Analytics of Social Media Users: Machine-Learning Approach
  12. 2 Toward Long-Term Person Re-identification with Deep Learning
  13. 3 A Comprehensive Review of Crowd Behavior and Social Group Analysis Techniques in Smart Surveillance
  14. 4 Intelligent Traffic Video Analytics
  15. 5 Live Cell Segmentation and Tracking Techniques
  16. 6 Quantum Image Analysis – Status and Perspectives
  17. 7 Visual Analytics for Automated Behavior Understanding in Learning Environments: A Review of Opportunities, Emerging Methods, and Challenges
  18. 8 Noise-Estimation-Based Fuzzy C-Means Clustering for Image Segmentation
  19. 9 Sample Problems in Person Re-Identification
  20. Index