Objective
The continuously growing amount of photos posted and distributed over the Internet poses several important problems related to improper use of images, such as exploiting them for commercial purposes, re-posting others’ photos without consent or infringing copyright, posting photos containing unethical or illegal contents, and so forth. Camera identification, which refers to identifying which digital imaging sensor has shot a given picture, exploiting the fact that each sensor leaves a unique fingerprint in all pictures, is a key ingredient in the solution to the aforementioned problems. The ToothPic project aims at validating a breakthrough camera identification technology developed during ERC starting grant “CRISP”. This technology is based on a novel compressed fingerprint format and outperforms state-of-the art techniques by orders of magnitude in terms of storage requirements and identification speed. As a consequence, it enables the deployment of camera-identification services on an unprecedented scale, paving the way for application to popular image sharing and social media sites. The proof-of-concept will consist in a very high-speed implementation of the camera identification core functionality, which will be used to validate the capability of the proposed technology to handle scenarios involving 100+ millions of sensor fingerprints, in real time and at a low cost. A set of demo applications, including a public search engine, taking as input a camera fingerprint or a photo and returning a list of photos acquired by the same camera, will also be implemented in order to raise a broad public interest and attract industries and venture capitalists. Upon successful validation, a European start-up company named “ToothPic” will be created to commercialise the proposed technology.
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 internet
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
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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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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
ERC-POC - Proof of Concept Grant
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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-2014-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.
10129 Torino
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.