TEC Data Types V1.0
Moving Picture, Audio and Data Coding
by Artificial Intelligence
- Home
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- Standards
- Standards
- AIWs, AIMs, and Data Types
- Normative References
- Work Plan
- Timeline
- Artificial Intelligence Framework (MPAI-AIF)
- Artificial Intelligence for Health (MPAI-AIH)
- Context-based Audio Enhancement (MPAI-CAE)
- Connected Autonomous Vehicle (MPAI-CAV)
- Compression and Understanding of Industrial Data (MPAI-CUI)
- AI-based End-to-End Video Coding (MPAI-EEV)
- AI-Enhanced Video Coding (MPAI-EVC)
- Governance of the MPAI Ecosystem (MPAI-GME)
- Integrative Genomic/Sensor Analysis (MPAI-GSA)
- Human and Machine Communication (MPAI-HMC)
- Multimodal Conversation (MPAI-MMC)
- MPAI Metaverse Model (MPAI-MMM)
- Neural Network Watermarking (MPAI-NNW)
- Object and Scene Description (MPAI-OSD)
- Portable Avatar Format (MPAI-PAF)
- AI Module Profiles (MPAI-PRF)
- Server-based Predictive Multiplayer Gaming (MPAI-SPG)
- Extended Reality Venues (MPAI-XRV)
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- Initial
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- A standards body for Artificial Intelligence
- MPAI Standards and Technologies
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- MPAI talks to industry
- MPAI interviews
- The MPAI Book 2021
- Preface
- Introduction
- Data and data processing
- AI potential and drawbacks
- Machine Learning and Neural Networks
- Speaking humans and machines
- Visual humans and machines
- Humans conversing with machines
- Audio for humans
- Video for humans and machines
- Data for machines
- Towards a responsible AI
- Divide and conquer
- Some MPAI data coding standards
- Structure of MPAI standards
- Some technologies from the MPAI repository
- MPAI mission and organisation
- The governance of the MPAI ecosystem
- A renewed life for the patent system
- Plans for the future
- Conclusions
- References
- Annex 1 – List of acronyms
