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

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

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

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

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

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

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

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

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

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

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

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

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

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