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Revision of Wikipedia Retrieval from Wed, 01/06/2010 - 18:33
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| Introduction |
| ImageCLEF's Wikipedia Retrieval task provides a testbed for the system-oriented evaluation of visual information retrieval from a collection of Wikipedia images. The aim is to investigate retrieval approaches in the context of a large and heterogeneous collection of images (similar to those encountered on the Web) that are searched for by users with diverse information needs. In 2010, ImageCLEF's Wikipedia Retrieval will use a new collection of approximately 250,000 Wikipedia images that cover diverse topics of interest. These images are associated with unstructured and noisy textual annotations in English, French, and German. This is an ad-hoc image retrieval task; the evaluation scenario is thereby similar to the classic TREC ad-hoc retrieval task and the ImageCLEF photo retrieval task: simulation of the situation in which a system knows the set of documents to be searched, but cannot anticipate the particular topic that will be investigated (i.e. topics are not known to the system in advance). The goal of the simulation is: given a textual query (and/or sample images) describing a user's (multimedia) information need, find as many relevant images as possible from the Wikipedia image collection. Any method can be used to retrieve relevant documents. We encourage the use of both concept-based and content-based retrieval methods and, in particular, multimodal approaches that investigate the combination of evidence from different modalities. More information will be provided soon. |
| Schedule |
| The schedule will be announced soon. |
| Organisers |
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