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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)
Hashtags are useful for categorizing and discovering content and conversations in online social networks. However, assigning hashtags requires additional user effort, hampering their widespread adoption. Therefore, in this paper, we introduce a novel approach for hashtag recommendation, targeting English language tweets on Twitter. First, we make use of a(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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