Video Analytics and Processing

  1. Feature Extraction and Representation
    1. Low-level Visual Features
      1. Color-based Features
        1. Color Histograms
          1. Global Histograms
            1. Local Histograms
              1. Histogram Comparison Methods
              2. Color Moments
                1. Color Coherence Vectors
                2. Texture Analysis
                  1. Statistical Texture Measures
                    1. Local Binary Patterns
                      1. Gabor Filter Responses
                        1. Haralick Texture Features
                          1. Wavelet-based Texture
                          2. Shape and Edge Features
                            1. Edge Detection Methods
                              1. Canny Edge Detector
                                1. Sobel Operator
                                  1. Laplacian of Gaussian
                                  2. Contour Analysis
                                    1. Shape Descriptors
                                      1. Hough Transform Applications
                                      2. Gradient-based Features
                                        1. Histogram of Oriented Gradients
                                          1. Scale-Invariant Feature Transform
                                            1. Speeded Up Robust Features
                                          2. Motion and Temporal Features
                                            1. Optical Flow Analysis
                                              1. Optical Flow Principles
                                                1. Lucas-Kanade Method
                                                  1. Horn-Schunck Method
                                                    1. Dense vs Sparse Optical Flow
                                                      1. Optical Flow Applications
                                                      2. Motion-based Descriptors
                                                        1. Motion History Images
                                                          1. Motion Energy Images
                                                            1. Motion Boundary Histograms
                                                              1. Trajectory-based Features
                                                              2. Temporal Gradients
                                                                1. Frame Differencing
                                                                  1. Temporal Derivatives
                                                                    1. Motion Magnitude Analysis
                                                                  2. Spatio-temporal Interest Points
                                                                    1. Interest Point Detection
                                                                      1. Harris 3D Detector
                                                                        1. Hessian-based Detectors
                                                                          1. Cuboid Detectors
                                                                          2. Spatio-temporal Descriptors
                                                                            1. HOG3D
                                                                              1. HOF (Histogram of Optical Flow)
                                                                                1. MBH (Motion Boundary Histograms)
                                                                                2. Applications in Action Recognition
                                                                                3. Deep Learning Features
                                                                                  1. Convolutional Neural Networks for Spatial Features
                                                                                    1. CNN Architecture Basics
                                                                                      1. Feature Map Extraction
                                                                                        1. Pre-trained Network Features
                                                                                          1. Transfer Learning Applications
                                                                                          2. Recurrent Networks for Temporal Modeling
                                                                                            1. RNN Fundamentals
                                                                                              1. LSTM Networks
                                                                                                1. GRU Networks
                                                                                                  1. Bidirectional RNNs
                                                                                                  2. 3D Convolutional Networks
                                                                                                    1. 3D Convolution Operations
                                                                                                      1. Spatio-temporal Feature Learning
                                                                                                        1. C3D Architecture
                                                                                                          1. I3D Networks
                                                                                                          2. Attention Mechanisms
                                                                                                            1. Spatial Attention
                                                                                                              1. Temporal Attention
                                                                                                                1. Self-attention in Video

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                                                                                                            2. Video Acquisition and Preprocessing

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                                                                                                            4. Object Detection and Recognition