Video Streaming Metadata Catalog: Our Comprehensive Guide to Metadata
RidgeRun Metadata Overview
RidgeRun Metadata offers a complete, organized guide and catalog of metadata modules tailored for embedding, transporting, and extracting synchronized data within media streams. In this wiki you will find detailed entries on each module (for example SEI, OBU, MPEG-TS, RTMP), including which media protocols and containers they support, their strengths and trade-offs, and practical examples of how to use them. You’ll also see comparison tables, integration tips, and real use cases such as UAV telemetry embedding, object-detection bounding boxes, or fusing sensor streams with video. Whether you are evaluating which metadata approach to adopt or need to implement it in production, this wiki serves as your reference to understand and choose from the RidgeRun metadata portfolio.
RidgeRun support
RidgeRun provides support for embedded Linux development in a variety of platforms, such as NVIDIA, Qualcomm, NXP, Xilinx, and many others. Our experience covers the complete lifecycle of a product, ranging from custom hardware bring-up to fully custom embedded applications. RidgeRun also specializes in hardware accelerators and general multimedia applications focused on achieving great performance. This guide contains detailed information on the RidgeRun Metadata. To get up-to-speed with RidgeRun Metadata, start by clicking below:
ARTIFICIAL INTELLIGENCE
