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MPAI MPEG ISO

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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MPAI publishes the MPAI Metaverse Model (MPAI-MMM) for Community Comments

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MPAI is pleased to announce that, after a full year of efforts, it has been able to publish the MPAI Metaverse Model, the master plan of a project designed to facilitate the establishment of standards promoting Metaverse Interoperability. Two online presentations of MPAI-MMM will be made on 2023/01/10 at two time slots convenient for Asia-EU and EU-America: 08:00 UTC: https://us06web.zoom.us/meeting/register/tZEtcuuurTsuHdcbXCAy-we7soWkIqK5a2MK 18:00 UTC: https://us06web.zoom.us/meeting/register/tZcocuqtrjkuGdz0_nQWhLIJMvSHbfAkqP39 The industry is showing a growing interest in the Metaverse that is expected to create new jobs,…

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