Project description
New tools for access to large multimedia data sets
While the popular press often depicts a future where white-collar jobs have been taken over by artificial intelligence, it is more likely that many jobs, for example in hospitals, government administration, science or production, will require non-IT specialists to analyse, in real-time, huge volumes of complex data with the help of a computer. Within this research project we intend to support this by combining the state-of-the-art in scalable multimedia analytics with a highly interactive access mechanism, namely virtual reality. The EU-funded ViRMA project will enable the development of a novel application prototype to support analysis of large-scale multimedia data in a three-dimensional virtual setting and facilitate real-time analysis of multi-dimensional datasets.
Objective
While the popular press often depicts a future where white collar jobs have been taken over by artificial intelligence, evidence suggests it is far more likely that many jobs will require non-IT specialists to analyse, in real-time, huge volumes of complex data with the help of a computer. Media files make up a large portion of these data volumes, and already today our personal and professional lives are full of large digital media collections (e.g. Netflix, Google, YouTube, etc.) that must be interactively explored, analysed, understood, annotated, and used.
The research described in this proposal seeks to address this trend by designing and evaluating a large-scale interactive multimedia analytics prototype designed for a rapidly emerging new mode of visual access, namely virtual reality. Platforms supporting virtual reality provide unparalleled immersion and can afford the ability to submerge their users into an environment where visual analysis can occur in three spatial dimensions and six degrees of freedom.
In this proposal we discuss our hypothesis that by combining the state-of-the-art in scalable multimedia analytics with a highly interactive access mechanism such as virtual reality, it will enable the development of pioneering applications to support unprecedented analysis of large-scale multimedia datasets. The research proposed in this application aims to significantly extend the state of the art in this domain by addressing a confluence of three major trends in computing: interactive analysis, novel access mechanisms, and collection scale.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence
- natural sciences computer and information sciences software software applications virtual reality
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2019
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
2300 KOBENHAVN
Denmark
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.