Objective
The field of statistical pattern recognition of visual information using digital images is experiencing a boom of scientific discoveries and technological applications. The ultimate goal of this field is to make computers “understand” a scene captured with a digital camera, in the following way: given a still picture, how can a computer automatically identify what is present (image annotation and context identification), and estimate the 3-D pose and segmentation of the visual objects. The solution to this problem involves the reverse engineering process of how an image is formed. This process comprises an analysis that estimates a 3-D model that may have generated the scene, followed by its verification in the image. This problem is essentially ill-posed because several different models (i.e. different interpretations) can lead to similar pictures. Therefore, the computer has to decide on the most likely model (among several ambiguous models) using image features, statistical models of visual objects, and relations between visual objects to constrain the complex search space for scene interpretations. This application introduces a proposal for a novel methodology to solve the problem above based on a principled probabilistic model that combines hierarchical context classification, visual class recognition, 2-D segmentation, and 3-D pose recovery from 2-D images. This project is relevant for the scientific community and for the industry. For the industry, the technologies developed in this project can improve the accuracy of image search and annotation systems, such as Google images, Yahoo images, Theseus, and Quaero. For the scientific community, the 3-D model abstraction will allow for the recognition of new visual classes with consistent shape information and varying appearance. Moreover, the use of multi-level hierarchical models can lead to efficient search methods in very large databases, and a more effective visual context abstraction.
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.
- social sciences media and communications graphic design
- natural sciences computer and information sciences databases
- natural sciences computer and information sciences artificial intelligence computer vision image recognition
- natural sciences computer and information sciences artificial intelligence pattern recognition
- natural sciences mathematics applied mathematics statistics and probability
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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-IIF-2008
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
1049 001 Lisboa
Portugal
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.