Ghent University-iMinds at MediaEval 2014 diverse images: adaptive clustering with deep features

Baptist Vandersmissen, Abhineshwar Tomar, Fréderic Godin, Wesley De Neve, Rik Van de Walle · 2014

In this paper, we attempt to tackle the MediaEval 2014 Re-trieving Diverse Social Images challenge, a filter and refine-ment 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 network, combined with the use of distributed word repre-sentations, forms the basis of our approach. 1.

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