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 ass
Intelligent Image and Video Analytics. Clustering and Classification Applications
โ Scribed by El-Sayed M. El-Alfy, George Bebis, MengChu Zhou
- Publisher
- CRC Press
- Year
- 2023
- Tongue
- English
- Leaves
- 361
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Cover
Half Title
Title Page
Copyright Page
Contents
Preface
Editor's Biography
List of Figures
List of Tables
Contributors
1. Video Demographic Analytics of Social Media Users: Machine-Learning Approach
Bibliography
2. Toward Long-Term Person Re-identification with Deep Learning
Bibliography
3. A Comprehensive Review of Crowd Behavior and Social Group Analysis Techniques in Smart Surveillance
Bibliography
4. Intelligent Traffic Video Analytics
Bibliography
5. Live Cell Segmentation and Tracking Techniques
Bibliography
6. Quantum Image Analysis - Status and Perspectives
Bibliography
7. Visual Analytics for Automated Behavior Understanding in Learning Environments: A Review of Opportunities, Emerging Methods, and Challenges
Bibliography
8. Noise-Estimation-Based Fuzzy C-Means Clustering for Image Segmentation
Bibliography
9. Sample Problems in Person Re-Identification
Bibliography
Index
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