IETF Draft Proposes LOCMAF for Low-Overhead Media Over QUIC
Eyevinn Technology and KTH researchers have submitted a proposal to the Internet Engineering Task Force (IETF) for LOCMAF (Low Overhead CMAF for Media over QUIC), a compact wire format for streaming CMAF media over the MoQ Transport protocol. LOCMAF aims to significantly reduce per-object overhead for low-latency video by using delta-encoding for headers while preserving unmodified mdat payloads and maintaining support for Common Encryption (CENC) pipelines and DASH event messages. This proposal details the object framing, chunk encodings, catalog signaling, and receiver reconstruction for low-latency CMAF video. It specifies the technical rules for encoders and receivers to implement this new transport efficient format.
Key Takeaways
- LOCMAF leverages delta-encoding for CMAF chunk headers and preserves unmodified mdat payloads to minimize overhead.
- The new format supports Common Encryption (CENC) pipelines and DASH event messages (emsg), addressing gaps in existing low-overhead solutions like LOC.
- It maintains CMAF Header delivery via existing MSF mechanisms, allowing coexistence with plain CMAF tracks that share init data.
- LOCMAF v0.2 targets low-latency CMAF, requiring single track per moov, no in-chunk Key ID changes, and specific sample_flags configurations.
- The proposal outlines detailed object framing, chunk encodings, catalog signaling, and receiver reconstruction for low-latency CMAF video.
Why It Matters
LOCMAF aims to significantly optimize low-latency video delivery by offering a more efficient way to transport CMAF media over QUIC. By minimizing per-object overhead, it directly addresses critical performance challenges in real-time streaming, making it easier for providers to implement ultra-low-latency services. This technical advancement could influence future standards for live streaming, potentially making MOQT a more appealing transport for high-demand applications. Industry players should monitor the IETF's progression of LOCMAF, as its adoption could streamline infrastructure and reduce operational costs for future low-latency deployments.
Read full article at datatracker.ietf.org
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