MARVEL

Project Name: Multimodal Extreme Scale Data Analytics for Smart Cities Environments

Description

MARVEL delivers a disruptive Edge-to-Fog-to-Cloud (E2F2C) ubiquitous computing framework that enables multimodal perception and intelligence for audio-visual scene recognition and event detection in a smart city environment. MARVEL aims to collect, analyse and data mine multimodal audio-visual data streams of a Smart City and help decision-makers to improve the quality of life and services to the citizens. The project aims to review the current and emerging standards and engage interactions with standardization and policy-making bodies. With the interactions, we aim to raise awareness about the project's results in these bodies and collect feedback to fine-tune the project's results. 

Reason for applying to HSbooster.eu services

Provide information on how to contact standardisation bodies, and how to engage two-way interactions with them. In the project, we are currently preparing a white paper about the standards used in the project, and based on that we would like to find contacts in the standardisation community and see if we can contribute to existing standards or identify potential gaps.


Project Acronym: MARVEL

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Grant Agreement Id: 957337

Start Date:

End Date:

Programme: H2020

Call for proposal: ICT-51-2020 - Big Data technologies and extreme-scale analytics, Call identifier: H2020-ICT-2020-1

Funding Scheme: RIA - Research and Innovation action

Pool of Experts


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Panos Kudumakis

Digital Media Standards, Technology, Policy and Strategy Senior Advisor and Consultant
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