Research, standards and thoughts for the digital world

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MPAI MPEG ISO

A standards body for AI-based data coding

Data is information converted to bits. To know what the bits mean, however, we must know the format, i.e., how information is represented or coded in bits. Data with an unknown format has little value and with a known format has a value that is inversely proportional to the effort required to convert it to an understandable format. Therefore, to be “the New Oil of the Digital Economy”, data should have a standard format. The way international bodies are organised…

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Online presentation: MPAI’s AI-based End-to-End video codec has better compression than traditional codecs

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Fifteen months ago, MPAI started an investigation on AI-based End-to-End Video Coding, a new approach to video coding not based on traditional architectures. Recently published results show that Version 0.3 of the MPAI-EEV Reference Model (EEV-0.3) has generally higher performance than the MPEG-HEVC video coding standard when applied to the MPAI set of high-quality drone video sequences. This is now supersed by the news that the soon-to-be-released EEV-0.4 subjectively outperforms the MPEG-VVC codec using low-delay P configuration. Join the online…

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MPAI approves a new Technical Specification and a Technical Report

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Geneva, Switzerland – 25 January 2023. Today the international, non-profit, unaffiliated Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) standards developing organisation has concluded its 28th General Assembly (MPAI-28) approving the Neural Network Watermarking (MPAI-NNW) Technical Specification, the MPAI Metaverse Model (MPAI-MMM) Technical Report, and the 2023 program of work on the Metaverse. MPAI-28 has approved for publication the following two documents: Neural Network Watermarking (MPAI-NNW). Draft Technical Specification providing methodologies to evaluate the performance of neural network-based…

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MPAI is offering its high-quality drone sequences to the video coding community

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Fifteen months ago, MPAI started an investigation on AI-based End-to-End Video Coding, a new approach is not based on traditional video coding architectures. Recently published results from the investigation show that Version 0.3 of the MPAI-EEV Reference Model has generally higher performance than the MPEG-HEVC video coding standard when applied to the MPAI set of high-quality drone video sequences. MPAI is now offering its Unmanned Aerial Vehicle (UAV) sequence dataset for use by the video community in testing compression algorithms.…

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A look inside the MPAI-XRV project

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XR Venues is an MPAI project (MPAI-XRV) addressing use cases enabled by Extended Reality (XR) technologies – the combination of Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR) – and enhanced by Artificial Intelligence (AI) technologies. The word “venue” is used as a synonym for “real and virtual environments”. The XRV group has identified some 10 use cases and made a detailed analysis of three of them: eSports Tournament, Live theatrical stage performance, and Experiential retail/shopping. How did…

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MPAI kicks off the MPAI Metaverse Model

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On the 3rd of January 2023 MPAI has posted the MPAI Metaverse Model (MMM) calling for comments and contributions until the 23rd of January. The MMM is a proposal for a method to develop Metaverse standards. It is based on an experience honed during decades of digital media standardisation that seeks to accommodate the extreme heterogeneity of industries all needing a common technology complemented by industry specificities. You can see the recording of the online presentation and the PowerPoint file:…

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