MPAI publishes Live Theatrical Performance standard for Community Comments

MPAI has concluded its its 73rd General Assembly (MPAI-73), with the publication of the Live Theatrical Performance V1.0 standard with a request for Community Comments. End Quote

(1888PressRelease) November 10, 2026 - 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 73rd General Assembly (MPAI-73), with the publication of the Live Theatrical Performance V1.0 standard with a request for Community Comments.

The Live Theatrical Performance (XRV-LTP) V1.0 brings two mainstream technologies to the theatre and performing arts industry: Artificial Intelligence (AI) technologies simplify show operation allowing complex shows to run in smaller venues while streamlining the mounting of performances across diverse venues, and Extended Reality (XR) technologies support the extension of the physical performance into the metaverse as a digital twin. Register at https://us06web.zoom.us/meeting/register/5spgZm_LS1mR_EWiRwyrjQ to attend the public presentation of the Live Theatrical Performance to be held on 17 November, 18:00 UTC.

About MPAI
Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) is an international, non-profit, unaffiliated organisation developing standards for AI-based data coding. Its standards specify AI Modules (AIMs) - their function and interfaces - rather than AI models, so implementations conforming to the same standard can be freely combined and replaced. More information is available at mpai.community.

MPAI members are 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.

Please visit the website (https://mpai.community) , subscribe to the Newsletter (https://mpai.community/news/newsletters/) and follow MPAI on social media:
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Media contact
MPAI Secretariat, secretariat ( @ ) mpai dot community

MPAI projects and standards
Short overview of MPAI projects and standards is given below:
1.AI Framework https://aif.mpai.community/ (MPAI-AIF): extending the MPAI-AIF specification to enable a client to access a remote MPAI-AIF Controller and an AI Module to communicate data to another AIM with associate metadata.
2.AI for Health https://aih.mpai.community (AIH-HSP): developing the specification of a system receiving and processing licenses AI Health Data and enabling clients to improve health processing models via federated learning.
3. AI Passport https://aip.mpai.community/ (MPAI-AIP) – develops a standard enabling humans and AI systems understand the parameters characterising an AI system.
4. AI Tools https://ait.mpai.community/– develops open-source implementations of AI standard components (AI Modules), distributed to the community under a 3-Clause BSD licence.
5. Context-based Audio Enhancement https://cae.mpai.community/ (CAE-USC): developing the Audio Six Degrees of Freedom (CAE-6DF) and the Audio Object Rendering (CAE-AOR) specifications.
6.Connected Autonomous Vehicle https://cav.mpai.community/ (CAV-TEC): developing a new version of the flagship specification CAV-TEC with security support.
7 Compression and Understanding of Industrial Data https://cui.mpai.community/ (CUI-CPP): expecting comments on the Company Performance Prediction V2.0 specification.
8.End-to-End Video Coding https://eev.mpai.community/ (MPAI-EEV): exploring the potential of AI-based End-to-End Video coding in compressing video sequences.
9.AI-Enhanced Video Coding https://evc.mpai.community/ (MPAI-EVC): exploring use of AI to enhance the video codec performance.
10.Governance of the MPAI Ecosystem https://gme/empai.community/ (MPAI-GME): operating the MPAI Ecosystem per the MPAI-GME Specification.
11.Human and Machine Communication https:/hmc./mpai.community/ (MPAI-HMC): exploring the use of AI in human-to-machine and machine-to-machine communication.
12.Multimodal Conversation https://mmc.mpai.community/ (MPAI-MMC): exploring the impact of the PGM-AUA Call for Technologies on human-to-machine and machine-to-machine conversation.
13.MPAI Metaverse Model https://mmm.mpai.community/ (MMM-TEC): developing security-protected protocols in the MMM-TEC specification.
14.Neural Network Watermarking https://nnw.mpai.community/ (NNW-TEC): Developing the new Neural Network Watermarking (MPAI-NNW) – Technologies (NNW-TEC) including assessments of Neural Network Traceability Technologies.
15.Object and Scene Description https://osd.mpai.community/ (MPAI-OSD): discussing the impact of MPAI standards planned or under development on MPAI-OSD V1.4.
16.Portable Avatar Format https://paf.mpai.community/ (MPAI-PAF): discussing the impact of MPAI standards planned or under development on MPAI-PAF V1.5.
17. Process Instance Trust Framework https://ptf.mpai.community/ (MPAI-PTF) – develops standard to establish and assess trust in an AI-based process instance whose AI Modules may have unknown reliability.
18.AI Module Profiles https://prf.mpai.community/ (MPAI-PRF): extending the scope of the current version of AI Module Profiles.
19.Server-based Predictive Multiplayer Gaming https://spg.mpai.community/ (MPAI-SPG): exploring new standard opportunities in the domain.
20.Data Types, Formats, and Attributes https://tfa.mpai.community/ (MPAI-TFA) extending the standard to data types used by MPAI standards that are planned or under development.
21.XR Venues https://xrv.mpai.community/ (XRV-LTP): developing the standard for improved execution of Live Theatrical Performances using AI.

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