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Computer Science
Data Science
Video Analytics and Processing
1. Foundations of Digital Video
2. Video Acquisition and Preprocessing
3. Feature Extraction and Representation
4. Object Detection and Recognition
5. Object Tracking and Motion Analysis
6. Video Segmentation and Scene Analysis
7. Action and Activity Recognition
8. Advanced Analytics and Applications
9. Real-time Processing and Optimization
10. Domain-Specific Applications
11. Evaluation and Performance Assessment
8.
Advanced Analytics and Applications
8.1.
Face Analysis in Video
8.1.1.
Face Detection and Tracking
8.1.1.1.
Multi-face Detection
8.1.1.2.
Face Track Association
8.1.1.3.
Pose Variation Handling
8.1.2.
Face Recognition and Verification
8.1.2.1.
Feature Embedding Methods
8.1.2.2.
Face Matching Algorithms
8.1.2.3.
Identity Verification Systems
8.1.3.
Facial Expression Analysis
8.1.3.1.
Emotion Recognition
8.1.3.2.
Facial Action Unit Detection
8.1.3.3.
Micro-expression Analysis
8.1.4.
Gaze and Attention Analysis
8.1.4.1.
Eye Tracking Methods
8.1.4.2.
Gaze Direction Estimation
8.1.4.3.
Attention Mapping
8.2.
Scene Understanding and Context
8.2.1.
Scene Classification
8.2.1.1.
Indoor vs Outdoor Detection
8.2.1.2.
Scene Category Recognition
8.2.1.3.
Environmental Context Analysis
8.2.2.
Object Relationship Analysis
8.2.2.1.
Spatial Relationships
8.2.2.2.
Temporal Relationships
8.2.2.3.
Semantic Relationships
8.2.3.
Event Detection and Recognition
8.2.3.1.
Simple Event Detection
8.2.3.2.
Complex Event Recognition
8.2.3.3.
Anomaly Detection
8.2.3.4.
Unusual Activity Identification
8.3.
Multi-camera Systems
8.3.1.
Camera Network Calibration
8.3.1.1.
Geometric Calibration
8.3.1.2.
Temporal Synchronization
8.3.1.3.
Color Calibration
8.3.2.
Multi-view Analysis
8.3.2.1.
View Synthesis
8.3.2.2.
3D Reconstruction
8.3.2.3.
Multi-view Tracking
8.3.3.
Cross-camera Re-identification
8.3.3.1.
Appearance Matching
8.3.3.2.
Gait-based Re-identification
8.3.3.3.
Deep Re-identification Networks
8.4.
Video Summarization and Indexing
8.4.1.
Keyframe Extraction
8.4.1.1.
Representative Frame Selection
8.4.1.2.
Clustering-based Methods
8.4.1.3.
Importance Scoring
8.4.2.
Video Skimming
8.4.2.1.
Dynamic Summary Generation
8.4.2.2.
Adaptive Summarization
8.4.2.3.
User-preference Based Summarization
8.4.3.
Content-based Video Retrieval
8.4.3.1.
Feature-based Indexing
8.4.3.2.
Similarity Search Methods
8.4.3.3.
Query-by-example Systems
8.4.3.4.
Semantic Video Search
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7. Action and Activity Recognition
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9. Real-time Processing and Optimization