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Perceptually-relevant Retrieval Of Figurative Images

Perceptually-relevant Retrieval Of Figurative Images

Objective

In this project we aim to invent and develop new techniques for the retrieval of figurative images (such as clip art, logos, signs) from large databases. Our techniques will be based on the extraction and matching of perceptually relevant shape features, thereby overcoming many of the limitations of existing methods. This project will develop and evaluate new algorithms for:· Perceptual segmentation of raw images, and grouping of shape elements.· Matching of geometrical patterns representing shape features.· Partial matching: fitting part of one shape with part of another.· Indexing shape features in huge databases of figurative images.· Indexing the relative spatial layout of shape features within these images. The project meets the objectives of the FET programme through a highly innovative (and hence high-risk) programme to develop novel techniques for shape matching aimed at tackling one of the key problems limiting the effectiveness of current image retrieval techniques. Our project offers the possibility of significant advances at both the scientific and economic level. New in our approach is the primary role of perceptually relevant shape features, the emphasis on the unsolved problem of partial matching, and indexing over lay-out and shapes rather than over feature vectors. The newly developed algorithms will be experimentally verified in a prototype system, and subjected to rigorous evaluation on databases with independently-validated ground truth. We consider that the Profit project meets the objectives of FET Open. Specifically:
· The proposed research is inherently innovative, high-risk and long-term.
· It is embryonic research, showing proof-of concept.
· It holds out the promise of major advances at a foundational level.

Coordinator

UNIVERSITEIT UTRECHT

Address

Padualaan 14
3508 Tb Utrecht

Netherlands

Administrative Contact

Remco VELTKAMP

Participants (3)

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AKTOR KNOWLEDGE TECHNOLOGY NV

Belgium

FREIE UNIVERSITAET BERLIN

Germany

UNIVERSITY OF YORK

United Kingdom

Project information

Grant agreement ID: 511572

  • Start date

    23 December 2004

  • End date

    31 December 2007

Funded under:

FP6-IST

  • Overall budget:

    € 1 033 000

  • EU contribution

    € 997 000

Coordinated by:

UNIVERSITEIT UTRECHT

Netherlands