Project description
Innovative thin-slicing tools for detecting art forgeries
In recent years, art forgeries have become more frequent, with forgers producing increasingly sophisticated imitations that closely resemble original paintings. These highly convincing forgeries pose significant challenges for international law enforcement agencies and the art world. The ERC-funded CODES project aims to build a curated and annotated image database of extensive modern forgeries, laying a solid foundation for smart-tool development. Additionally, the project will refine and validate the discoveries in collaborate with stakeholders, enhancing the ability to detect potential forgeries and identify works that require further analysis.
Objective
Forged paintings pose an urgent challenge to international law enforcement agencies and the art world. Both the quantity and the quality of the works are alarming. In practice, however, this type of art crime is notoriously difficult to detect and combat.
The CoG project ARTDETECT is generating new knowledge about significant anomalies that betray forged paintings (as well as into key characteristics of comparable originals); and is developing ‘thin-slicing’ tools, i.e. computer programs and checklists that help to quickly and effectively select potential forgeries for in-depth analysis. However, in order to ensure the practical application of the new knowledge and tools, it is crucial to engage with stakeholders at an early stage in order to 1) gain access to a wide range of current cases, 2) test the validity of the preliminary conclusions, and 3) identify the challenges and opportunities in this restricted part of the market.
The team has a unique opportunity to collaborate with stakeholders and gain access to a large number of (potential) forgeries in the styles of more than 100 modern painters. We are also setting up our own lab. These circumstances allow us, at relatively low cost, to build an extensive curated image database of real cases, to carefully annotate the images, and to rigorously validate our preliminary conclusions. Through in-depth confidential research with stakeholders CODES will provide an extensive test dataset and user-oriented guidelines that have the potential to revolutionize counterfeit detection.
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 databases
- humanities arts visual arts
- social sciences law
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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.
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HORIZON.1.1 - European Research Council (ERC)
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Topic(s)
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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.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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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) ERC-2024-POC
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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.
9000 Gent
Belgium
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.