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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,(More)
In this paper, we attempt to tackle the MediaEval 2014 Retrieving Diverse Social Images challenge, a filter and refinement problem defined for a Flickr-based ranked set of social images. We build upon solutions proposed in [5] and mainly focus on exploiting the joint use of all modalities. The use of image features extracted from a deep convolutional neural(More)
Thanks to the increasing popularity of mobile devices and online social networks, mobile and social video is on the rise, calling for a better understanding of its usage and future impact. In this paper, we provide an in-depth measurement study of Vine, a mobile application that is used for creating and sharing short looping videos of up to six seconds in(More)
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