Deliverables

The Handbook provides a comprehensive overview of the project procedures with specific examples. It also gives an overview of consortium partners, communication procedures and describes in detail how documents related to the project should be formatted.

This deliverable reports on the data strategies planned for the MAX-R project. The deliverable summarises and discusses the type of data which the project will be dealing with, and especially in terms of its potential release. 

The Self-Assessment Plan sets out the ways in which the project’s operational performance will be assessed, including the measurement of progress toward achieving the Objectives. It includes a self-assessment plan for each task within each WP from 2 to 6, outlining the evaluation strategy, the success indicators and the timetable, with the level of detail appropriate at this early stage of the project.

This report describes the workflows, and system architecture that underpin the scenarios, and aims to provide an initial technical foundation and understanding of the cross-over technologies involved to build on during the development period of the project.

This report describes the use cases and scenarios which have been identified to drive the demonstration and evaluation of the MAX-R outputs.

This deliverable reports on the design and development of Open APIs and Data Manifests being done under work package 2, task 3 (WP2T3): Development of XR Media Data Hubs and Open API Tools. This work is being done to realise the use-cases and scenarios as defined in Deliverable D2.2, guided by the project architecture defined in Deliverable D2.1.

This report describes a demonstration of the functionalities of two cutting-edge technologies, The Vault and OpenAssetIO, both of which are being developed by Foundry throughout MAX-R

Network Architecture and Device Properties with focus on three key aspects: synchronisation, low-latency and reliability -using PTP-

Progress report on the development of tools and data pipelines for the MAX-R pipeline. The report shows the specifications and initial results in the tools for creation, processing and distribution.

This report describes the progress on creation of the tools and workflows being developed by Foundry for virtual production.

This report introduces a novel set of colour grading tools specifically designed for Extended Reality (XR) applications like virtual production. It addresses the critical challenge of achieving accurate colour matching between real and virtual elements, which current grading tools struggle with.

This deliverable shows the progress on the integration of WP2 and WP3 outcomes in the MAX-R pipeline and establish a firm basis for the integration and evaluation activities.

This deliverable outlines the general evaluation strategy of the project, according to its aims, and work planning and provides detailed tables of the evaluation planned with respect to technical advances, and with respect to integrated pipelines for XR media creation

This document provides the rationale of the project website implementation, key concepts, design and actual implementation are briefly discussed. It also gives an introduction to the different social media channels that have been set up.

Plan for dissemination activities and exploitation of results, with links to the conferences, papers, web resources and publications produced during the project.

This document is the second version of the Dissemination, Communication and Exploitation Plan for the MAX-R project. It contains the dissemination activities achieved so far in the project, a description of the exploitation results of each of the partners, and reviews the plan for tracking and communicating MAX-R outcomes. The public version of this document has been stripped of all confidential details.

Publications

Michaelides, C., Casasnovas, M., Marchitelli, D., & Bellalta, B. "Is Wi-Fi 6 Ready for Virtual Reality Mayhem? A Case Study Using One AP and Three HMDs", IEEE Future Neworks, 2023.

Lemoine, W., Wijnants, M. "Progressive Network Streaming of Textured Meshes in the Binary glTF 2.0 Format." In Proceedings of the 28th International ACM Conference on 3D Web Technology, 1-11, 2023

Miguel Casasnovas, Costas Michaelides, Marc Carrascosa-Zamacois, and Boris Bellalta. "Experimental Evaluation of Interactive Edge/Cloud Virtual Reality Gaming over Wi-Fi using Unity Render Streaming", arxiv preprint, 2024.

Herbots, J., Verstraete, A., Wijnants, M., Quax, P., & Lamotte, W. "Cross that boundary: Investigating the feasibility of cross-layer information sharing for enhancing ABR decision logic over QUIC." In Proceedings of the 33rd Workshop on Network and Operating System Support for Digital Audio and Video, 50-57, 2023.

Siragusano, Daniele; Lempp, Wolfgang. "User Interfaces for Colour Grading: Design of a Low Cost User Interface for Colour Grading." White Paper by FilmLight Ltd., 2023.