IEEE P3305/D1, Jan 2024
Adoption of Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) Technical Specification MPAI Metaverse Model (MMM) Architecture Version 1
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About This Item
P3305/D1, Jan 2024 is a technical document focused on the Adoption of Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) Technical Specification MPAI Metaverse Model (MMM) Architecture Version 1. It sits at the intersection of communication, networking and broadcast technologies, computing and processing, and signal processing, where AI-assisted media coding and metaverse architecture need a clear common framework. As a standards reference, P3305/D1, Jan 2024 helps define how related systems may be structured and evaluated.
P3305/D1, Jan 2024 overview
This standard addresses the architecture for the MPAI Metaverse Model, with emphasis on how moving picture, audio, and data coding can be organized within an AI-enabled technical framework. P3305/D1, Jan 2024 is relevant where system design must account for interoperable media handling, processing flows, and the relationship between content coding and virtual environment modeling. Its value lies in providing a structured reference for design and technical alignment rather than a general-purpose media description.
Typical use cases
P3305/D1, Jan 2024 may be used when developing or reviewing AI-assisted media platforms that combine video, audio, and data streams in metaverse-style environments. It is relevant to architecture planning for immersive communication systems, broadcast-adjacent workflows, and processing chains that require a consistent model for content coding and system interaction. The document may also support engineering teams working on platform integration, technical evaluation, or requirements mapping for MPAI-related implementations.
Why this standard matters
This standard matters because complex media and metaverse systems benefit from a shared architecture that reduces ambiguity in design and implementation. P3305/D1, Jan 2024 can help teams maintain consistency across coding, processing, and system integration decisions, which is important for procurement, testing, and technical review. In practice, a clear specification supports better interoperability expectations, more controlled development, and lower risk when aligning multiple components within one AI-enabled workflow.
- MPAI Metaverse Model architecture
- AI-based media coding framework
- Moving picture, audio, and data handling
- System integration and technical alignment
- Design and evaluation reference
- Publication Date: 2024
- Standard Status: Inactive
- Publisher: IEEE
- Subject: Communication, Networking and Broadcast Technologies; Components, Circuits, Devices and Systems; Computing and Processing; Signal Processing and Analysis
- Official IEEE: Doi link
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