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NMSF - Neural Video Codec Packaging for MOQT Streaming Format rev 01 lands on the IETF Datatracker

This document updates the MOQT Streaming Format (MSF) by defining a new optional feature for the streaming format. It specifies the syntax and semantics for adding Neural Video Codec (NVC) packaged media to MSF. NVC codecs use learned neural network transforms for video compression, and their bitstreams require a distinct packaging model from traditional block-based codecs. NMSF maps neural keyframes (Intra) and delta frames (Inter) onto MoQ Groups and Objects, and introduces a multi-track model that separates hyperprior side information from latent bitstreams for priority-aware delivery. This enables real-time neural video streaming over any standard MoQ relay.

Source: IETF DatatrackerView source →

Draft Snapshot

  • Draft: draft-herz-moq-nmsf
  • Revision: 01
  • Last updated: 2026-04-07
  • Source: IETF Datatracker

Summary

This document updates the MOQT Streaming Format (MSF) by defining a new optional feature for the streaming format. It specifies the syntax and semantics for adding Neural Video Codec (NVC) packaged media to MSF. NVC codecs use learned neural network transforms for video compression, and their bitstreams require a distinct packaging model from traditional block-based codecs. NMSF maps neural keyframes (Intra) and delta frames (Inter) onto MoQ Groups and Objects, and introduces a multi-track model that separates hyperprior side information from latent bitstreams for priority-aware delivery. This enables real-time neural video streaming over any standard MoQ relay.

Analysis

This draft is directly relevant to the MOQ ecosystem and worth tracking because it reflects current protocol work or adjacent implementation guidance from the IETF process.

Abstract

This document updates the MOQT Streaming Format (MSF) by defining a new optional feature for the streaming format. It specifies the syntax and semantics for adding Neural Video Codec (NVC) packaged media to MSF. NVC codecs use learned neural network transforms for video compression, and their bitstreams require a distinct packaging model from traditional block-based codecs. NMSF maps neural keyframes (Intra) and delta frames (Inter) onto MoQ Groups and Objects, and introduces a multi-track model that separates hyperprior side information from latent bitstreams for priority-aware delivery. This enables real-time neural video streaming over any standard MoQ relay.

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