Standards – Procedures

Currently, MPAI has 11 lines of standard development. Please read the MPAI Work Plan for an overview and the MPAI Timeline. See a succint MPAI presentation.

Acronym Title Description
1. MPAI-GWE Governance of the MPAI Ecosystem The MPAI Ecosystem underpins

  1. Implementers developing Implementations,
  2. Performance Assessors assessing the Reliability, Robustness, Replicability and Fair­ness of Implementations,
  3. MPAI Store verifying the security, Testing the Conformance and checks the Performance of Implementations
  4. End Users downloading Implementations.

Version 1 of MPAI-GWE is approved and available for download.

2. MPAI-AIF Artificial Intelligence Framework A standard AI Framework (AIF) enabling environments where AI Workflows (AIW) composed of basic components called AI Modules (AIM) can be created and executed. It is a foundational MPAI standard on which other MPAI application standards will be built. Version 1 of MPAI-AIF is approved.
3. MPAI-CAE Context-based Audio Enhancement A standard improving the user exper­ience for a variety of uses such as entertainment, communication, teleconferencing, gaming, post-production, restorat­ion etc. in a variety of contexts such as in the home, in the car, on-the-go, in the studio etc. The WD0.7 of the standard is published for Community Comments by 2021/12/15.
4. MPAI-MMC Multi-Modal Conversation A standard to enable human-machine conversations that emulate human-human conversation in completeness and intensity. Read public MPAI-MMC documents. MPAI-MMC WD0.4 is available for comments.

Version 1 of MPAI-MMC is approved and available for download.

5. MPAI-CUI Compression and Understanding of Industrial data A standard to enable AI-based compression and extraction of key information from the flow of data produced by companies – currently finance and organisation data – and vertical risks – currently seismic and cyber. Read public MPAI-CUI documents.

Version 1 of MPAI-CUI – Technical Specification, Reference Software, Conformance Testing and Performance Assessment – is  approved and available for download.

6. MPAI-SPG Server-based Predictive Multiplayer Gaming A standard to minimise the audio-visual and gameplay discontinuities caused by high latency or packet losses in  online real-time gaming. If information from a client is missing, the data collected from the clients involved in a particular game are fed to an AI-based system that predicts the moves of the client whose data are missing. Read public MPAI-SPG documents.
7. MPAI-CAV Connected Autonomous Vehicles A standard addressing 3 components of a Connected Autonomous Vehicle: 1) Autonomous Motion, 2) Human-to-CAV interaction and 3) CAV-to-environment interaction. Read Public MPAI-CAV documents.
8. MPAI-MCS Mixed-Reality Collaborative Spaces A standard using Artificial intelligence throughout MCS systems for immersive presence, spatial maps (e.g. Lidar scans, inside-out tracking) rendering, and multiuser synchronization) etc. Read Public MPAI-MCS documents
9. MPAI-EVC AI-Enhanced Video Coding A stan­dard that substantially en­hances the performance of a traditional video codec by improving or replacing traditional tools with AI-based tools. Read public MPAI-EVC documents.
10. MPAI-GSA Integrative Genomic/ Sensor Analysis A standards that understands and compresses the results of high-throughput experiments combining genomic/proteomic and other data, e.g. from video, motion, location, weather, medical sensors for applications ranging from personalised medicine to smart farming. Read public MPAI-GSA documents.
11. MPAI-OSD Visual Object and Scene Description Currently, Visual Object and Scene Description is a collection of Use Cases sharing the goal of describing visual object and locate them in space. Scene description includes the usual des­cription of objects and their attributes in a scene and the semantic description of the objects. Read Public MPAI-OSD documents.
12. MPAI-EEV AI-based End-to-End Video Coding End-to-End (E2E) schemes can yield significant­ly higher coding performance. Still, no SDO is working on this. Unconstrained by IP legacy, MPAI provides an environment where  common understanding, models and standards-oriented E2E video coding can be collaboratively developed. Read Public MPAI-EEV documents.

Procedures – Standards

MPAI develops mostly AI-based standards following a well-defined sequence of steps (see Annex I of the Statutes for more details)

# Acr Name Description
1 UC Use cases Proposals of use cases, their description and merger of compatible use cases
2 FR Functional Requirements Identification of the functional requirements that the standard should satisfy
3 CR Commercial Requirements Development and approval of the Framework Licence of the standard
4 CT Call for Technologies Preparation and publication of a document calling for technologies supporting the requirements
5 SD Standard development Development of the standard in a specific Development Committee (DC)
6 MS MPAI standard The standard has been successfully completed and all Members have made the appropriate declarations

The MPAI General Assembly approves promotion of a project from a stage to the next stage.