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Exploring the semantics behind a collection to improve automated image annotation

Llorente, Ainhoa; Motta, Enrico and Rüger, Stefan (2009). Exploring the semantics behind a collection to improve automated image annotation. In: 10th Workshop of the Cross-Language Evaluation Forum (CLEF 2009), 30 Sep - 2 Oct 2009, Corfu, Greece, Springer.

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DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1007/978-3-642-15751-6_40
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Abstract

The goal of this research is to explore several semantic relatedness measures that help to refine annotations generated by a baseline non-parametric density estimation algorithm. Thus, we analyse the benefits of performing a statistical correlation using the training set or using the World Wide Web versus approaches based on a thesaurus like WordNet or Wikipedia (considered as a hyperlink structure). Experiments are carried out using the dataset provided by the 2009 edition of the ImageCLEF competition, a subset of the MIR-Flickr 25k collection. Best results correspond to approaches based on statistical correlation as they do not depend on a prior disambiguation phase like WordNet and Wikipedia. Further work needs to be done to assess whether proper disambiguation schemas might improve their performance.

Item Type: Conference Item
Copyright Holders: 2010 Springer-Verlag
ISSN: 0302-9743
Extra Information: The original publication is available at www.springerlink.com
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 23432
Depositing User: Kay Dave
Date Deposited: 05 Oct 2010 10:34
Last Modified: 24 Oct 2012 07:18
URI: http://oro.open.ac.uk/id/eprint/23432
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