The Moving Picture Experts Group

Welcome to MPEG home page

This used to be the home page of MPEG, the group who developed an impressive portfolio of standards and technologies that have created an industry worth several hundreds billion USD. This page is kept as historical reference to MPEG achievements because the group I conceived in the summer of 1987, implemented in 1988, and guided for 32 years was closed on 2020/06/02.. Splinters using the word MPEG still exists. 

This page is now used to communicate news about MPAI, the group the continues the MPEG spirit with the mission to develop standards for data coding by artificial intelligence with clear licencing frameworks. Here are some relevant news:

yy mm dd Title Comments
2022 07 19 Call for technologies on AI Framework V2 Responses to secretariat by 2022/10/24T23:59 UTC
2022 07 19 Call for technologies on Multimodal Conversation V2 Responses to secretariat by 2022/10/24T23:59 UTC
2022 07 19 Call for technologies on Neural Network Watermarking Responses to secretariat by 2022/10/24T23:59 UTC
2021 12 21 Context-based Audio Enhancement MPAI-CAE Technical Specification, now at version 1.4
2021 12 18 Towards Pervasive and Trustworthy Artificial Intelligence How standards can put a great technology at the service of humankind
2021 11 24 AI Framework MPAI-AIF Technical Specification, now at version 1.1
2021 09 30 Multimodal Conversation MPAI-MMC Technical Specification, now at version 1.1
2021 09 30 Governance of the MPAI Ecosystem MPAI-GME Technical Specification, now at version 1.0
2021 09 30 Compression and Understanding of Industrial Data MPAI-CUI Standard, now at version 1.1
2021 06 02 Even the stars die The history of MPEG and how it made digital media happen
2020 09 30 MPAI is established in Geneva, CH  
2020 07 19 The MPAI ideas is launched  
         

MPAI – Moving Picture, Audio and Data Coding by Artificial Intelligence – believes that univer­sally accessible standards can have the same positive effects on AI that stan­dards wrought to digital media and has identified data coding as the area where standards can foster development of AI tech­nologies, promote use of AI applications and contribute to the solution of existing problems.

MPAI defines data coding as the transformation of data from a given representation to an equiv­alent one more suited to a specific application. Examples are compression and semantics extraction.

MPAI considers AI module (AIM) and its interfaces as the AI building block. An AIM is defined by its function, and by the syntax and semantics of its interfaces, not by how the function is performed. AIMs can be implemented in hardware or software, with AI or Machine Learning or legacy Data Processing.

MPAI’s AI framework enabling creation, execution, com­pos­ition and update of AIM-based work­flows (MPAI-AIF) is the cornerstone of MPAI standardisation because it enables building high-com­plexity AI solutions composed of interconnected multi-vendor AIMs trained to specific tasks, operating in the standard AI framework and exchanging data in standard formats.

MPAI standards will address many of the problems mentioned above and benefit various actors:

  • Technology providers will be able to offer their conforming AIMs to an open market
  • Application developers will find on the open market the AIMs their applications need
  • Innovation will be fueled by the demand for novel and more performing AIMs
  • Consumers will be offered a wider choice of better AI applications by a competitive market
  • Society will be able to lift the veil of opacity from large, monolithic AI-based applications.

Focusing on AI-based data coding will also allow MPAI to take advantage of the results of emer­ging and future research in representation learning, transfer learning, edge AI, and reproducibility of perfor­mance.

MPAI is mindful of IPR-related problems which have accompanied high-tech standardisation. Unlike standards developed by other bodies, which are based on vague and contention-prone Fair, Reasonable and Non-Discriminatory (FRAND) declarations, MPAI standards are based on Frame­work Licences where IPR holders set out in advance IPR guidelines.

Finally, although it is a technical body, MPAI is aware of the revolutionary impact AI will have on the future of human society. MPAI pledges to address ethical questions raised by its technical work with the involvement of high-profile external thinkers. The initial significant step is to enable the understanding of the inner working of complex AI systems.

To join MPAI: follow instructions at https://mpai.community/how-to-join/join/

This page is kept as historical reference to MPEG achievements. In its 30 years of activity MPEG had developed an impressive portfolio of standards and technologies that have created an industry worth several hundreds billion USD.


In a world where information technology, consumer electronics, entertainment and telecommunication products and content variously converge by incorporating increasingly sophisticated technologies and the need for timely available standards is as strong as ever, MPEG used to provide a proven mechanism to bring research results into standards that promote innovation for the benefit of all.

This MPEG home page was kept up to date until 2020/06/06, the day the MPEG founder and convenor Leonardo Chiariglione resigned because the MPEG group was closed.

 

Press release from MPEG 130 - Alpbach: File w19175 - PR.docx

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Mon, 2020-04-20 to Fri, 2020-04-24