UNED-UV @ Retrieving Diverse Social Images Task

@inproceedings{Gonzles2015UNEDUVR,
  title={UNED-UV @ Retrieving Diverse Social Images Task},
  author={{\'A}ngel Castellanos Gonz{\'a}les and Xaro Benavent and Ana M. Garc{\'i}a-Serrano and Esther de Ves and Juan Manuel Cigarr{\'a}n Recuero},
  booktitle={MediaEval},
  year={2015}
}
This paper details the participation of the UNED-UV group at the MediaEval 2016 Retrieving Diverse Social Images Task using a multimodal approach. Several Local Logistic Regression models, which use the visual low-level features, estimate the relevance probability for all the images in the dataset. Then, the images are ranked by selecting the highest probability image at each of the textual clusters. These textual clusters are generated by making use of a textual algorithm based on Formal… CONTINUE READING

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