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Research Student
Ainhoa Llorente Photograph

I started my research studentship with KMi in October 2006 and obtained my PhD in 2010. My PhD topic was about identifying innovative ways to enhance a standard automated image annotation system. In order to reach this goal I applied technologies belonging to disciplines as diverse as Multimedia Information Retrieval, Semantic Web and Natural Language Processing. The final goal of this multidisciplinary research was to develop a set of techniques that can increase the effectiveness of any existing image search engine. My supervisors were Prof. Stefan Rüger and Prof. Enrico Motta.

Keys: Information Retrieval, Automated Image Annotation, Image Analysis, Natural Language Processing, Ontologies

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Publications

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Llorente, A., Motta, E. and Rueger, S. (2010) Exploring the Semantics Behind a Collection to Improve Automated Image Annotation, Proceedings of the 10th Workshop of the Cross-Language Evaluation Forum (CLEF 2009), LCNS 6242, Part II, Springer

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Llorente, A., Manmatha, R. and Rueger, S. (2010) Image Retrieval using Markov Random Fields and Global Image Features, Proceedings of the ACM International Conference on Image and Video Retrieval, Xi'an, China, pp. 243-250

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Nowak, S., Llorente, A., Motta, E. and Rueger, S. (2010) The Effect of Semantic Relatedness Measures on Multi-label Classification Evaluation, Proceedings of the ACM International Conference on Image and Video Retrieval, Xi'an, China, pp. 303-310

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Little, S., Llorente, A. and Rueger, S. (2010) An overview of evaluation campaigns in multimedia retrieval, in eds. Henning Müller, Paul Clough, Thomas Deselaers and Barbara Caputo, ImageCLEF: Experimental Evaluation in Visual Information Retrieval, pp. 507-522, Springer Verlag

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Tech Reports

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The Use of Ontologies for Improving Image Retrieval and Annotation
Techreport ID: kmi-08-08
Date: 2008
Author(s): Ainhoa Llorente Coto

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