Useful Links
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
  1. Computer Science
  2. 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
  1. Action and Activity Recognition
    1. Action Recognition Fundamentals
      1. Action vs Activity Definitions
        1. Temporal Granularity Levels
          1. Action Representation Methods
          2. Traditional Action Recognition
            1. Hand-crafted Feature Approaches
              1. Bag of Visual Words for Actions
                1. Space-time Interest Points
                  1. Dense Trajectory Features
                  2. Deep Learning for Action Recognition
                    1. Two-stream Networks
                      1. Spatial Stream Processing
                        1. Temporal Stream Processing
                          1. Fusion Strategies
                          2. 3D Convolutional Networks
                            1. 3D CNN Architectures
                              1. Spatio-temporal Convolutions
                                1. Temporal Modeling
                                2. Recurrent Neural Networks
                                  1. LSTM for Action Recognition
                                    1. Attention-based RNNs
                                      1. Sequence-to-sequence Models
                                      2. Transformer-based Methods
                                        1. Video Transformers
                                          1. Self-attention for Temporal Modeling
                                            1. Multi-scale Temporal Analysis
                                          2. Complex Activity Recognition
                                            1. Hierarchical Activity Models
                                              1. Multi-person Activity Recognition
                                                1. Group Activity Analysis
                                                  1. Long-term Activity Understanding
                                                  2. Evaluation and Datasets
                                                    1. Performance Metrics
                                                      1. Standard Datasets
                                                        1. Benchmarking Protocols

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                                                      6. Video Segmentation and Scene Analysis

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                                                      8. Advanced Analytics and Applications

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