leandromoreira/digital_video_introduction

Features

• Video Compression Curricula - Offers a structured engineering course and theoretical lessons on the fundamental principles of video compression.
• Digital Signal Processing - Provides a practical tutorial on digital signal processing, focusing on frequency domains and color models.
• Streaming and Video Analysis - Examines video file properties and metadata to understand codecs, containers, and stream characteristics.
• Video Courses - Provides a structured video course and curriculum for mastering video engineering with FFmpeg.
• Technical Reference Guides - Includes a detailed technical reference guide for analyzing AV1, VP9, and H.265 codec specifications.
• Bitstream Analysis - Provides tools and guides for examining video bitstreams to understand how data is packed and quantized.
• Sampling Implementations - Provides a practical implementation of chroma subsampling to reduce data requirements based on human vision.
• Color Space Definitions - Explains YCbCr color space definitions and their use in separating luminance from chrominance for efficient encoding.
• Discrete Cosine Transforms - Implements Discrete Cosine Transforms to convert spatial pixels into frequency components for lossy video compression.
• Inter-Frame Prediction - Implements temporal redundancy reduction using motion estimation and vectors to reference differences between frames.
• Intra-Frame Prediction - Reduces spatial redundancy by predicting pixel values from neighboring blocks within a single video frame.
• Image Processing - Provides practical exercises in manipulating pixel arrays and implementing chroma subsampling.
• Color Space Converters - Implements conversions between RGB and YCbCr color spaces to separate luminance and chrominance for video processing.
• Motion Estimation - Identifies and encodes changes between sequential video frames using block motion compensation and motion vectors.
• Quantization Processes - Provides exercises on dividing frequency coefficients by a quantization matrix to simulate precision loss and compression.
• Quantization Processing - Reduces the precision of frequency coefficients by dividing values by a quantization matrix for lossy compression.
• Spatio-Temporal Prediction - Teaches how to reduce video redundancy using intra-frame spatial prediction and inter-frame temporal motion estimation.
• Video Stream Extraction - Extracts detailed metadata and stream information from video files to analyze technical properties.
• Video Converters - Converts video from one codec to another and adjusts group of pictures structures and keyframe intervals.
• FFmpeg Transcoders - Uses FFmpeg for transcoding, multiplexing, and segmenting video files as part of a technical curriculum.
• Media Bitstream Analyzers - Deconstructs network abstraction layer units and parameter sets to analyze video encoding data packing.
• Video Parameter Parsers - Enables parsing of video bitstreams to extract sequence parameters and profile levels from network abstraction layer units.
• Entropy Coding Algorithms - Demonstrates lossless data encoding using entropy coding algorithms to remove statistical redundancy from quantized video data.
• Raw YUV Exporters - Generates raw YUV color space files to perform low-level analysis of video data.
• Educational Code Notebooks - Provides a collection of interactive Jupyter Notebooks for exploring DCT, quantization, and entropy coding.
• Quantization Artifact Analysis - Simulates the mapping of continuous signal values to discrete levels to demonstrate precision loss and visual artifacts.
• Frequency-Domain - Uses frequency-domain transforms to isolate and manipulate periodic patterns and noise in images.
• Raster Image Analysis - Calculates technical raster properties including resolution and bit depth to determine data requirements.
• Bitrate Control Strategies - Allows modifying the data rate of video using constant or variable bitrate constraints to control file size.
• Frame Type Configurations - Provides capabilities to configure frame types to balance playback seeking speed and compression efficiency.
• Internal Image Representations - Models digital images as multi-dimensional arrays to demonstrate pixel intensity and color channel storage.
• Color Space Converters - Supports converting image representations between RGB and YCbCr color spaces to analyze color mapping.
• Chunked Video Processing - Splits a video into multiple smaller chunks based on a specified time duration.
• Segment Joining - Merges multiple video chunks into a single contiguous file to restore a full sequence.
• Video Processing Tools - Provides command-line tools to cut, download, and encode video clips to modify media properties.
• Perceptual Quality Metrics - Compares visual quality between original and transcoded files using VMAF analysis.
• Stream Demuxing - Extracts the audio stream from a video container and saves it as a separate audio file.
• Stream Multiplexing - Combines separate audio and video streams into a single container file.
• HLS Streaming - Implements HLS segmented delivery by splitting video files into chunks and generating m3u8 playlists.
• Playlist Generators - Generates video-on-demand streams and playlists using specific chunk sizes and resolution variants.
• Video Quality Metrics - Implements visual quality assessment by comparing original and transcoded files using VMAF metrics.
• Redundancy Analysis - Analyzes frame differencing versus motion estimation to demonstrate how redundant data is removed from video streams.
• Video Transmuxing - Changes the container format of a video stream without re-encoding the underlying audio and video codecs.
• ISOBMFF Multiplexers - Provides practical implementations of multiplexing media tracks into ISO Base Media File Format containers.
• Visual Debugging Overlays - Produces videos with visual overlays that display histograms, macroblock types, or motion vectors for debugging.
• Lab Environments - Ships a containerized media lab environment for hands-on experimentation with video technology.
• Containerized Learning Labs - Ships a Docker-based media lab providing a consistent development environment with pre-installed notebooks and video tools.

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