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Ainhoa Llorente (Alumni) Member status icon

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

News

Publications

Overell, S., Llorente, A., Liu, H., Hu, R., Rae, A., Zhu, J., Song, D. and Rüger, S. (2008). MMIS at ImageCLEF 2008: experiments combining different evidence sources. In: CLEF workshop, 17-19 Sep 2008, Aarhus, Denmark. https://oro.open.ac.uk/36073/.

Llorente Coto, A. (2010). Semantics and statistics for automated image annotation. [Thesis] https://oro.open.ac.uk/25663/.

Llorente, A., Overell, S., Liu, H., Hu, R., Rae, A., Zhu, J., Song, D. and Rüger, S. (2009). Exploiting term co-occurrence for enhancing automated image annotation. In: Evaluating Systems for Multilingual and Multimodal Information Access, 9th Workshop of the Cross-Language Evaluation Forum, 17-19 Sep 2008, Aarhus, Denmark. https://oro.open.ac.uk/23514/.

Llorente, A., Motta, E. and Rüger, S. (2009). Image annotation refinement using Web-based keyword correlation. In: Proceedings of the 4th International Conference on Semantic and Digital Media Technologies, 2-4 Dec 2009, Graz, Austria. https://oro.open.ac.uk/23440/.

Llorente, A. and Rüger, S. (2009). Using second order statistics to enhance automated image annotation. In: The 31st European Conference on Information Retrieval (ECIR 2009), 6-9 Apr 2009, Toulouse, France. https://oro.open.ac.uk/23507/.

Llorente, A., Motta, E. and Rüger, S. (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. https://oro.open.ac.uk/23432/.

Nowak, S., Llorente, A., Motta, E. and Rüger, S. (2010). The effect of semantic relatedness measures on multi-label classification evaluation. In: Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR '10), 5-7 Jul 2010, Xi'an, China. https://oro.open.ac.uk/23434/.

Little, S., Llorente, A. and Rüger, S. (2010). An overview of evaluation campaigns in multimedia retrieval. In: Müller, H.; Clough, P.; Deselaers, T. and Caputo, B. eds. ImageCLEF: Experimental Evaluation in Visual Information Retrieval. Berlin/Heidelberg: Springer-Verlag, pp. 507–522. https://oro.open.ac.uk/23247/.

Tech Reports

View AbstractDownload PDF

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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