MPAI releases Connected Autonomous Vehicle and MPAI Metaverse Model for Community Comments, starts Up-sampling Filter for Video Applications

March 30, 2025
Top Quote MPAI has concluded its 54th General Assembly (MPAI-54) with the release of the Connected Autonomous Vehicle and the MPAI Metaverse Model standards for Community Comments and the start of the Up-sampling Filter for Video Applications (EVC-UFV) V1.0 standard project. End Quote
  • (1888PressRelease) March 30, 2025 - Geneva, Switzerland – MPAI – Moving Picture, Audio and Data Coding by Artificial Intelligence – the international, non-profit, unaffiliated organisation developing AI-based data coding standards – has concluded its 54th General Assembly (MPAI-54) with the release of the Connected Autonomous Vehicle and the MPAI Metaverse Model standards for Community Comments and the start of the Up-sampling Filter for Video Applications (EVC-UFV) V1.0 standard project.

    MPAI has been working on the Connected Autonomous Vehicle (MPAI-CAV) project since its early days and released the Architecture Specification (CAV-TEC). Today, MPAI-54 released the Technology specification (CAV-TEC) V1.0 that builds on the Architecture Specification adding subsystems, components, and data types. The specification is released with a request for Community Comments and is available from the https://mpai.community/standards/mpai-cav/tec/v1-0/ MPAI website. Anybody is invited to send comments on MMM-CAV V1.0 to the secretariat ( @ ) mpai dot community by April 13 at 23:59 UTC dot

    MPAI has been working on the MPAI Metaverse Model (MPAI-MMM) project since January 2022. So far, two technical Reports and two Technical Specifications on Architecture and Technologies were published. Today, MPAI-54 released the Technology specification (MMM-TEC) V2.0 integrating the Architecture and Technologies specifications and the Reference Software published by MPAI-53. The specification is released with a request for Community Comments and is available from the https://mpai.community/standards/mpai-cav/tec/v1-0/ MPAI website. Anybody is invited to send comments on MMM-TEC V2.0 to the secretariat ( @ ) mpai dot community by April 13 at 23:59 UTC dot

    Both CAV-TEC V1.0 and MMM-TEC V2.0 reuse technology specifications that are shared with other MPAI standard, namely Object and Scene Description (MPAI-OSD) V1.3, Portable Avatar Format (MPAI-PAF) V1.4, and Data Types, Formats and Attributes (MPAI-TFA) V1.3. The specifications – available from the https://mpai.community/standards/mpai-osd/v1-3, https://mpai.community/standards/mpai-paf/v1-4/, and https://mpai.community/standards/mpai-tfa/v1-3/ web pages, respectively – were released with a request for Community Comments. Anybody is invited to send comments on any of the three standards to the secretariat ( @ ) mpai dot community by April 13 at 23:59 UTC dot

    MPAI has identified the need for a standard that specifies an up-sampling filter for video applications with improved performance compared to the currently used up-sampling filters. MPAI-54 decided to kick off the new Up-sampling Filter for Video applications (EVC-UFV) V1.0 standard project based on the received responses to the Call for Technologies.

    MPAI is continuing its work plan that involving the following activities:
    1. AI Framework (MPAI-AIF https://mpai.community/standards/mpai-aif/): reference software, conformance testing, and application areas.
    2. AI for Health (MPAI-AIH https://mpai.community/standards/mpai-aih/): reference model and technologies for a system enabling clients to improve models processing health data and federated learning to share the training.
    3. Context-based Audio Enhancement (CAE-DC https://mpai.community/standards/mpai-cae/): new projects.
    4. Connected Autonomous Vehicle (MPAI-CAV https://mpai.community/standards/mpai-cav/): Functional Requirements of CAV architecture.
    5. Compression and Understanding of Industrial Data (MPAI-CUI https://mpai.community/standards/mpai-cui/): preparation for extension of existing standard.
    6. End-to-End Video Coding (MPAI-EEV https://mpai.community/standards/mpai-eev/): video coding using AI-based End-to-End Video coding.
    7.AI-Enhanced Video Coding (MPAI-EVC https://mpai.community/standards/mpai-evc/). video coding with AI tools added to existing tools.
    8. Governance of the MPAI Ecosystem (MPAI-GME https://mpai.community/standards/mpai-gme/): working on version 2.0 of the Specification.
    9. Human and Machine Communication (MPAI-HMC https://mpai.community/standards/mpai-hmc/): model and technologies enabling a human or a machine to communicate with a machine or a human in a different cultural environment.
    10.Multimodal Conversation (MPAI-MMC https://mpai.community/standards/mpai-mmc/): reference software, drafting conformance testing, and new areas.
    11. MPAI Metaverse Model (MPAI-MMM https://mpai.community/standards/mpai-mmm/): reference software and metaverse technologies requiring standards.
    12.Neural Network Watermarking (MPAI-NNW https://mpai.community/standards/mpai-nnw/): reference software for enhanced applications.
    13.Object and Scene Description (MPAI-OSD https://mpai.community/standards/mpai-osd/): finalising V1.2 and developing reference software, conformance testing and new areas for digital humans.
    14. Portable Avatar Format (MPAI-PAF https://mpai.community/standards/mpai-ara/): reference software, conformance testing and new areas.
    15. AI Module Profiles (MPAI-PRF https://mpai.community/standards/mpai-prf/): to specify which features an AI Module supports.
    16.Server-based Predictive Multiplayer Gaming (MPAI-SPG https://mpai.community/standards/mpai-spg/): technical report on mitigation of data loss and cheating.
    17.Data Types, Formats, and Attributes (MPAI-TFA https://mpai.community/standards/mpai-tfa/): extending he standard to data types used by other MPAI standards.
    18.XR Venues (MPAI-XRV https://mpai.community/standards/mpai-xrv/ ): preparation for the development of the standard.

    Legal entities and representatives of academic departments supporting the MPAI mission and able to contribute to the development of standards for the efficient use of data can become MPAI members (https://mpai.community/2022/11/02/seven-good-reasons-to-join-mpai/).
    Please visit the MPAI website (https://mpai.community), contact the MPAI secretariat (secretariat ( @ ) mpai dot community) for specific information, subscribe to the MPAI Newsletter and follow MPAI on social media:
    - LinkedIn (https://www.linkedin.com/groups/13949076/).
    - X (https://twitter.com/mpaicommunity).
    - Facebook (https://www.facebook.com/mpaicommunity).
    - Instagram (https://www.instagram.com/mpaicommunity/).
    - Youtube (https://www.youtube.com/ ( @ ) MPAIstandards).
    - Blueskay (https://bsky.app/profile/mpaicommunity.bsky.social)

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