In this paper we describe the work done by the Pattern Recognition and Computer Vision Laboratory (PeRCeiVe Lab) of the University of Catania (Italy) for the MediaEval 2014 Retrieving Diverse Social Images Task. The main challenge consists of retrieving, for a given topic, a set of photos which are relevant to the topic but also showing diverse views of it. We submitted four runs exploiting a common feature-independent clustering strategy based on randomforests for diversifying Flickr result images while preserving relevance.
['Concetto Spampinato', 'Simone Palazzo']
PeRCeiVe Lab@UNICT at MediaEval 2014 Diverse Images: Random Forests for Diversity-based Clustering