Objective
The main objective of IMAGINATION is to bring digital cultural and scientific resources closer to their users, by making user interaction image-based and context-aware. Our aim is to enable image-based navigation for digital cultural and scientific resources. Our vision is a system where users receive meaningful contextual information about images and image parts, which makes images easier to understand. Moreover, users can simply navigate to new, relevant images and texts in the knowledge repository only by clicking on interesting image parts.
To achieve this goal, IMAGINATION combines and improves existing techniques. The major instrument to provide context-sensitive, relevant information is the use of semantic metadata. Semantic metadata will be (semi-)automatically generated. To achieve the highest possible quality level of automatically generated metadata, the context of the resources (images and texts) is exploited by combining text-mining, image segmentation and image recognition algorithms. We expect that this combination will cause a synergy effect and will result in high-quality semantic metadata. The generated semantic metadata is used to visualise the context of images, and thus to make it easier to comprehend them. The metadata makes it also possible to search the repository semantically and therefore to navigate to semantically related resources in the knowledge space.
The major outcome of the project will be a complete implementation of this new and intuitive approach of navigation trough images, which will include a set of technologies and tools to support the semantic annotation of images by manual, semi-automatic and automatic techniques.
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 computer vision image recognition
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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.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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
76131 KARLSRUHE
Germany
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.