DASH-IF Live Media Ingest Protocol
Description
Specification defining Interface 1 (CMAF track ingest) and Interface 2 (DASH/HLS ingest) for pushing live media from encoders to origins/packagers.
Resource details
- Category path
- Encoding & Codecs›Containerization & Packaging Tools›Origin Servers
- Classification
- Not yet classified
DASH-IF Live Media Ingest Protocol is cataloged in Encoding & Codecs, Containerization & Packaging Tools, and Origin Servers.
URL
Related resources
- Unified Streaming Live OriginJust-in-time packaging live origin server companion to Unified Streaming's VOD origin, serving DASH/HLS/HDS/MSS.
- Unified Streaming OriginJust-in-time packaging origin server producing DASH/HLS/HDS/MSS with content protection and timeshift/catchup support.
- Evaluation of Hardware-based Video Encoders on Modern GPUs for UHD Live-StreamingAcademic evaluation of NVIDIA/Intel GPU and Snapdragon hardware video encoders for UHD live-streaming applications.
- AV1 Encoding with libsvtav1 on QencodeThe libsvtav1 encoder (SVT-AV1) is an AV1 implementation tuned for both compression efficiency and parallel performance. This guide covers…
- Are We Compressed YetDistributed encode/decode + BD-rate + VMAF benchmarking harness originally for Daala, adopted by AOM community for comparative testing of A…
- Performance Comparison of AV1, JEM, VP9, and HEVC EncodersFraunhofer HHI SPIE 2017 paper comparing codec internals, BD-BR, and complexity across AV1, JEM, VP9, and HEVC.
- FOSDEM 2024: VVdeC<>Arm — Optimizing an Open Source VVC Decoder for Arm ArchitecturesFOSDEM Open Media devroom talk detailing Arm-specific performance optimization work on the open-source VVdeC VVC decoder.
- Differentiable VMAF Re-implementation on PyTorchDifferentiable PyTorch reimplementation of VMAF metric enabling gradient-based codec/RDO optimization, with companion code.
- nano-hevcMinimal educational HEVC encoder written in pure Python, readable-over-fast, for teaching codec internals.
- Opus (xiph/opus)Reference implementation of the Opus audio codec, recently adding deep-learning-based packet loss concealment.