Ghent University-iMinds at MediaEval 2013 Diverse Images: Relevance-Based Hierarchical Clustering
نویسندگان
چکیده
In this paper, we attempt to tackle the MediaEval 2013 Retrieving Diverse Social Images challenge, which is a filter and refinement problem on a Flickr-based ranked set of social images. We developed three different approaches, using visual data, textual data and a combination thereof, respectively. Hierarchical clustering on highly relevant images, combined with a greedy approach to complement the ranking, forms the basis of our approach.
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