Real-Time Video Processing and Streaming Pipelines
Real-Time Video Processing and Streaming Pipelines Real-time video processing and streaming pipelines power many modern apps, from live events to remote monitoring. A typical setup follows a flow: capture from a camera or file, process frames, encode the result, and deliver it to viewers or devices. Latency is a key constraint, so teams design for predictable delays, not just high quality. Core components are straightforward but each choice matters. Capture sources feed a frame stream. Processing can include scaling, noise reduction, color work, and smart tasks like object detection or gesture tracking—often accelerated by GPUs. Encoding converts frames into compact data, with common codecs such as H.264, H.265, or AV1. The transport layer delivers data via protocols like RTSP, RTMP, WebRTC, or adaptive formats such as HLS and DASH, depending on the target audience and network conditions. The final stage, playback, adapts quality to bandwidth while preserving smoothness. ...