IEEE 3301-2022
IEEE Standard Adoption of Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) Technical Specification Artificial Intelligence Framework (AIF) 1.1
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About This Item
IEEE 3301-2022 defines the IEEE adoption of the Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) Technical Specification Artificial Intelligence Framework (AIF) 1.1. It is relevant to systems that combine communication, networking, broadcast technologies, and signal processing with AI-based media coding workflows. This standard matters because it helps align technical implementation with a common framework for interoperable, data-driven moving picture, audio, and related processing applications.
About IEEE 3301-2022
IEEE 3301-2022 is an active standard that adopts the MPAI Artificial Intelligence Framework 1.1 for use within IEEE documentation. Its role is to provide a structured technical reference for AI-enabled media coding environments, where moving picture, audio, and data processing may need to work together within defined framework requirements. For engineers and organizations, IEEE 3301-2022 offers a clearer basis for design alignment, specification review, and consistent interpretation of the adopted framework.
Where is IEEE 3301-2022 used?
This standard is typically used in media technology workflows where AI-supported coding, processing, or transport of content must be coordinated across systems. It may apply to broadcast platforms, networked content delivery chains, and signal-processing tools that handle audiovisual and data streams. IEEE 3301-2022 can also be relevant in equipment planning, integration, and technical evaluation when teams need a common framework for implementing or assessing MPAI-based functionality.
Importance in practice
In practice, IEEE 3301-2022 helps reduce ambiguity when AI-driven media coding features are being specified, procured, or tested. A shared framework can support more consistent engineering decisions, clearer compliance checks, and better-controlled integration across different vendors or development groups. For organizations working with advanced communication or broadcast systems, the standard may help limit implementation risk and improve technical consistency when media, audio, and data processing must operate together reliably.
- AI framework adoption for media coding
- Moving picture, audio, and data processing context
- Communication, networking, and broadcast alignment
- Implementation, review, and testing reference
- Publication Date: 2023
- Standard Status: Active
- Publisher: IEEE
- Subject: Communication, Networking and Broadcast Technologies; Computing and Processing; Signal Processing and Analysis
- Official IEEE: Doi link
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