ImageCLEF - Image Retrieval in CLEF

In 2008, ImageCLEF will offer a Visual Concept Detection Task continuing the Object Annotation Task of ImageCLEF 2006 and the Object Retrieval Task of ImageCLEF 2007. In contrast to its predecessors, the Visual Concept Detection Task of ImageCLEF 2008 will be strongly interacting with the ImageCLEF 2008 Photographic Retrieval Task.

Outline

The Visual Concept Detection Task has the objective to identify visual concepts that would help in solving the photographic retrieval task in ImageCLEF 2008.

Therefore we will publish a training database of approximately 1,800 images which are classified according to the concept hierarchy described in the following section along with their classification. Only these data may be used to train concept detection/annotation techniques.

At a later stage, we will publish a test database of 1,000 images. For each of these images participating groups are required to determine the presence/absence of the concepts.

At a later stage, the usefullness of the detected topics for the retrieval procedure will be evaluated. Groups who are interested in this will be required to detect the defined concepts in the 20,000 images which are used in the photo retrieval task. If you are interested in this, please contact the organizers as we are currently not yet sure how this can be evaluated.

Hierarchy

The images are labelled according to this class hierarchy:

Data

DATA IS NOT YET AVAILABLE.
Please be a little bit patient. Additional information about data downloads will be provided here shortly.

The visual concept detection task will work on a subset of the extended IAPR TC-12 database which is also used for the Photo Retrieval Task of ImageCLEF 2008.

Schedule

We are trying to fit the schedule BEFORE the Photo Retrieval Task of ImageCLEF 2008 so as to allow the participants of the photo retrieval task to use the outcome of the visual concept detection, but we are still in the process of annotation the training data.

Organisers

Thomas Deselaers, RWTH Aachen University, Aachen, Germany
Allan Hanbury, Vienna University of Technology Institute of Computer Aided Automation, Pattern Recognition and Image Processing Group, Vienna, Austria