Standards – Procedures
Currently, MPAI has 14 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
MPAI-GWE Version 1 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.
Version 1.1 of the MPAI-AIF Technical Specification is approved and available for download. |
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. Version 1 of MPAI-AIF is approved.
Version 1.3 of the MPAI-CAE Technical Specification is approved and available for download. |
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 1.2 of the MPAI-MMCTechnical Specification 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 the public MPAI-CUI documents.
Version 1.1 of the MPAI-CUI Standard – 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 the public MPAI-SPG documents. |
7. MPAI-CAV | Connected Autonomous Vehicles | A standard addressing 4 components of a Connected Autonomous Vehicle: 1) Human-CAV Interaxtion, 2) Autonomous Motion, 3) Human-to-CAV interaction and 4) 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 the 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 the 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 the 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 the 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 the public MPAI-EEV documents. |
NNW | Neural Network Watermarking | A project developing requirements for a standard to measure on the impact on performance, resistance to attach and processing cost of watermarking a neural network. |
ARA | Avatar Representation and Animation | A project to develop requirements for a standard representation format of avaters and their animation. |
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 | TS | Technical Specification | 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.