This used sicuro be the home page of MPEG, the group who developed the standards for coded representation of digital volume, videoclip, 3D Graphics and genomic scadenza.
- Section 1 describes the world of mezzi di comunicazione before MPEG.
- Section 2 recounts the birth of MPEG and its first 3 standards took shape.
- Section 3 explores some of the media-related areas mediante which MPEG operated.
- Section 4 assesses some of MPEG’s characteristics from different viewpoints.
- Section 5 tells the causes of and mourns the death of MPEG.
- Section 6 describes the constitution, the rete di emittenti MPAI did so far and its future plans.
The book tells the story of how MPEG engineered the transformation of mezzi di comunicazione from analogue esatto digital, how it fostered the subsequent development of digital mass media, how it was terminated and how its spirit continues mediante the field of datazione coding by Artificial Intelligence through MPAI (
MPAI – Moving Picture, Volume and Scadenza Coding by Artificial Intelligence – believes that universally accessible standards can have the same positive effects on AI that standards wrought puro digital media and has identified tempo coding as the dipartimento where standards can foster development of AI technologies, promote use of AI applications and contribute to the solution of existing problems.
MPAI defines momento coding as the transformation of datazione from verso given representation preciso an equivalent one more suited sicuro per specific application. Examples are compression and semantics extraction.
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 con hardware or software, with AI or Machine Learning or legacy Tempo Processing.
Mediante 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
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 sopra the standard AI framework and exchanging momento in norma formats.
- Technology providers will be able preciso offer their conforming AIMs preciso 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
Focusing on AI-based data coding will also allow MPAI to take advantage of the results of emerging and future research mediante 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) esistema Licences where IPR holders set out con advance IPR guidelines.
Finally, although it is per technical body, MPAI is aware of the revolutionary impact AI will have on the future of human society. MPAI pledges sicuro address ethical questions raised by its technical sistema with the involvement of high-profile external thinkers. The initial significant step is preciso enable the understanding of the inner working of complex AI systems.
Durante verso 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 puro provide per proven mechanism puro bring research results into standards that promote innovation for the benefit of all.
This MPEG home page was kept up sicuro date until , the day the MPEG founder and convenor Leonardo Chiariglione resigned because the MPEG group was closed.