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Content archived on 2024-04-19

Network of Excellence in Computer Vision

Objective

Computer vision is an enabling technology for the next generation of automation. Sophisticated such as the widespread use of autonomous robots in manufacturing and in the service industries (eg cleaning and surveillance). Computer vision also promises diverse applications as automatic driving, traffic monitoring and new man-machine communication modes. Dramatic increases in available computing power and recent advances in theory have lead to rapid progress in computer vision technology. However, for computer vision to move from the laboratory to industry, a base of supplier industries must take up this technology and provide mass production of reliable components. CVNet will incite this development by informing industry of recent technological advances, and by forming the start-up markets required for initial development of a new technology.

The goal of the network is to incite development of the scientific foundation and commercial infrastructure needed to transform Computer Vision from a laboratory science to a widely used technology.

Two kinds of actions are required to bring about the wide spread use of computer vision:

- Collaborative actions within the scientific community.
- Technology transfer actions which attract industrial partners to develop the hardware and software needed for widespread applications.

Collaborative actions within the scientific community can be of two sorts: initiatives to create common infrastructure and opportunistic actions to advance promising new approaches and applications. Infrastructure initiatives will be proposed by nodes (individually or in small groups) to the network steering committee.

Technology transfer actions will be performed by small ad-hoc "special interest groups" drawn from the network nodes and associates. These small interdisciplinary groups will form and meet in an opportunistic manner under sponsorship of the network. They will organise workshops and meetings to harmonise terminology, define sub-disciplines and to compare preliminary results from research in progress.

CV Net has grown out of an association of scientific laboratories and industries incorporated as the Computer Vision Society. The Computer Vision Society organises a biannual conference on computer vision named the "European Conference on Computer Vision".

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.

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Programme(s)

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.

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

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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.

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Coordinator

Université de Grenoble I (Université Joseph Fourier)
EU contribution
No data
Address
46 AVENUE FELIX VIALLET
38031 GRENOBLE
France

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Total cost

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.

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Participants (10)

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