Video Analytics and Processing

Video Analytics and Processing is a specialized field within Computer Science and Data Science that focuses on using algorithms to automatically analyze and extract meaningful information from video data. It encompasses the entire pipeline from raw video manipulation—such as enhancement, compression, and feature extraction—to the application of machine learning and computer vision models for tasks like object detection, tracking, action recognition, and scene understanding. The ultimate goal is to convert vast streams of unstructured visual information into structured, actionable insights, driving innovations in areas like autonomous systems, security surveillance, retail analytics, and smart cities.

1. Foundations of Digital Video
   1. Digital Image Fundamentals
      1. Pixels and Resolution
         1. Definition of a Pixel
         2. Spatial Resolution
         3. Temporal Resolution
         4. Image Resolution Metrics
         5. Aspect Ratio
         6. Pixel Density and DPI
      2. Bit Depth and Color Representation
         1. Bit Depth Concepts
         2. Color Depth
         3. Dynamic Range
         4. Quantization Effects
      3. Color Spaces and Models
         1. RGB Color Space
            1. Additive Color Mixing
            2. RGB Variants
            3. Applications in Displays
         2. YUV and YCbCr Color Spaces
            1. Luminance and Chrominance Separation
            2. Subsampling Schemes
            3. Use in Video Compression
         3. HSV and HSL Color Spaces
            1. Hue, Saturation, Value Components
            2. Perceptual Color Representation
            3. Applications in Image Processing
         4. CMYK Color Space
         5. Color Space Conversion
            1. Mathematical Transformations
            2. Conversion Matrices
            3. Precision Considerations
      4. Image Representation and Storage
         1. Grayscale Images
         2. Binary Images
         3. Multichannel Images
         4. Image File Formats
            1. JPEG
            2. PNG
            3. BMP
            4. TIFF
            5. RAW Formats
   2. Digital Video Representation
      1. Video as Sequential Images
         1. Frame Concept
         2. Temporal Sampling
         3. Frame Numbering Systems
         4. Timestamps and Timecodes
      2. Frame Rate and Temporal Resolution
         1. Definition of Frame Rate
         2. Common Frame Rates
            1. 24 fps
            2. 30 fps
            3. 60 fps
            4. Variable Frame Rates
         3. Interlaced vs Progressive Scanning
            1. Field-based Representation
            2. Deinterlacing Methods
      3. Spatial and Temporal Dimensions
         1. Spatial Resolution
         2. Temporal Resolution
         3. Spatio-temporal Data Structures
         4. 3D Video Data Representation
      4. Video Resolution Standards
         1. Standard Definition
         2. High Definition
         3. Full HD
         4. 4K Ultra HD
         5. 8K Resolution
         6. Aspect Ratios
            1. 4:3 Traditional
            2. 16:9 Widescreen
            3. Cinematic Ratios
   3. Video Formats and Encoding
      1. Codecs and Containers
         1. Codec Definition and Purpose
         2. Container Definition and Role
         3. Relationship Between Codecs and Containers
         4. Encoding vs Decoding
      2. Video Containers
         1. MP4
         2. AVI
         3. MOV
         4. MKV
         5. WebM
         6. FLV
      3. Audio-Video Synchronization
      4. Metadata and Auxiliary Data
         1. Timecode Information
         2. Subtitle and Caption Tracks
         3. Audio Track Management
         4. Chapter Markers