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

Llorente, A. (2010) Semantics and Statistics for Automated Image Annotation PhD Thesis

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

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

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

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

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