About this project

This repository provides a gentle, hands-on introduction to digital video technology aimed primarily at software developers and engineers, but accessible to anyone wanting to learn. It explains fundamental concepts using simple vocabulary, visual elements, and practical examples. Key topics covered include: - Basic terminology: image representation as matrices, RGB color models, bit depth, resolution, aspect ratios (DAR and PAR), frame rates, bit rate (CBR and VBR), and interlaced vs. progressive scan. - Redundancy removal: exploiting human visual sensitivity to luminance over chrominance, the YCbCr color model, chroma subsampling (e.g., 4:2:0), and frame types (I-frames, P-frames, B-frames). - Video codec internals: a generic codec pipeline including picture partitioning, predictions (inter and intra), transforms, quantization, entropy coding (VLC, CABAC, CAVLC), and bitstream formats like H.264. It also discusses how H.265 achieves better compression ratios than H.264. - Online streaming: general architecture, progressive download, adaptive streaming, and content protection (DRM). The guide includes hands-on sections requiring Docker, utilizing containerized versions of FFmpeg and MediaInfo for inspecting video properties, generating histograms, visualizing motion vectors, and analyzing bitstreams. It also provides Jupyter notebooks for interactive learning with Python, NumPy, and Matplotlib. The content is available in multiple languages including English, Chinese, Japanese, Korean, Russian, Portuguese, and Spanish.