Objective
"People are now more connected than ever before thanks to the technological advances of personal computers, smart personal devices, as well as global Internet connections. Web-based services like Flickr and YouTube and social networks such as Facebook have become more and more popular, allowing people to easily upload, share and annotate personal media content. This connectivity constitutes a new key source of information.
In this project, the candidate will focus on the problem of exploiting semantic and social knowledge for visual recognition. In fact, although visual data are the largest component of the digital world, they have been so far excluded from most social media research.
Some recent works have begun to take social network analysis into account when looking at visual data, but their scope has been too limited. Researchers have presented algorithms for enriching user annotations through tag recommendation strategies (often focusing only on tags and their relations), and methods for estimating tag relevance in order to rank and filter the list of tags. Nevertheless, most of these studies were conducted in simplified settings and do not address the full information given by visual media and their social and semantic relations.
This project goes beyond these studies by introducing a new framework which jointly models objective knowledge, given by the visual appearance, prior knowledge, given by visual and linguistic ontologies, and noisy collective knowledge, given by social tags and social relations. This is a challenging issue since, at the scale of web, we are looking at connections of thousands of elements. Experiments will be conducted on a large-scale image benchmark.
The contribution to EU scientific and technological knowledge and researcher training will be enhanced by taking advantage of the extensive experience and outcomes attained by the third-country organization (Stanford University) in the field of high-level visual recognition."
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 knowledge engineering ontology
- natural sciences computer and information sciences internet
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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.
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.
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.
FP7-PEOPLE-2013-IOF
See other projects for this call
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.
Coordinator
50121 Florence
Italy
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.