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The ARTISTE Project

Developing an integrated art analysis and navigation environment with image storage, retrieval, and analysis tools. Prototyping algorithms to meet user needs.

judithhart
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The ARTISTE Project

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  1. The ARTISTE Project Building a system for Art Image Storage Retrieval Analysis and Navigation Project IST_1999_11978 -ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000

  2. The Consortium Project IST_1999_11978 -ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000

  3. The Objectives Project IST_1999_11978 -ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000

  4. The System • Will be a distributed database of Art Images and metadata. • Will have www access. • Will provide content and meta-data based retrieval navigation and analysis tools. Project IST_1999_11978 -ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000

  5. The Project Stage... • The project is in its infancy. We are prototyping novel algorithms to meet the specific needs of the end users. Project IST_1999_11978 -ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000

  6. Demonstration of Sub-Image Matching Project IST_1999_11978 -ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000

  7. …The Problem • To find an image (the target) from a collection of images. • A given image (the query) serves as input, and may be a sub-image of a larger image. • The process finds images when the query is not necessarily identical to the target image. Project IST_1999_11978 -ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000

  8. …Example 1 • Query Image Project IST_1999_11978 -ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000

  9. ...The Result • Best matching image with sub-image identified. NB. Query is before restoration work, target is a restored image. Query and target image also differ in resolution Project IST_1999_11978 -ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000

  10. …Example 2 • Query Image Project IST_1999_11978 -ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000

  11. …The Result • Best match found, with sub-image identified Project IST_1999_11978 -ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000

  12. …Subsequent Best Matches Retrieved results start from top-left to bottom right. Project IST_1999_11978 -ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000

  13. …The Algorithm • This M-CCV technique is being developed in the IAM Group at the University of Southampton, UK. • It matches colour coherence vectors from a collection of image patches at a range of scales in-order to find the best match. Project IST_1999_11978 -ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000

  14. Other Algorithms • …will provide for example: • An ability to retrieve images containing particular textures. • An ability to locate and count specific features of interest to end users. E.g. butterfly supports in the restoration framework. Project IST_1999_11978 -ARTISTE – An Integrated Art Analysis and Navigation Environment Review Meeting N.1: Paris, C2RMF, November 28, 2000

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