Abstract
Multimedia annotation is central to its organization and retrieval – a task which tag recommendation systems attempt to simplify. We propose a photo tag recommendation system which automatically extracts semantics from visual and meta-data features to complement existing tags. Compared to standard content/tag-based models, these automatic tags provide a richer description of the image and especially improve performance in the case of the “cold start problem”.
This research was supported by the the European Community’s FP7 Programme under grant agreements nr 288024 (LiMoSINe).
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McParlane, P.J., Mejova, Y., Weber, I. (2013). Detecting Friday Night Party Photos: Semantics for Tag Recommendation. In: Serdyukov, P., et al. Advances in Information Retrieval. ECIR 2013. Lecture Notes in Computer Science, vol 7814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36973-5_77
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DOI: https://doi.org/10.1007/978-3-642-36973-5_77
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