Showing all 13 Publications linked to Ainhoa Llorente

Ainhoa Llorente Member status icon

Research Student
Ainhoa Llorente Photograph

I started my research studentship with KMi in October 2006 and obtained my PhD in 2011. 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...

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


Publications | Visit External Site for Details  
Publications | Download PDF Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

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

Publications | Download PDF Publications | Visit External Site for Details  

Llorente, A., Motta, E. and Rueger, S. (2009) Image Annotation Refinement using Web-based Keyword Correlation, Proceedings of the 4th International Conference on Semantic and Digital Media Technologies, Graz, Austria, 5887, pp. 188--191

Publications | Download PDF  

Zagorac, S., Llorente, A., Little, S., Liu, H. and Rueger, S. (2009) Automated Content Based Video Retrieval, TREC Video Retrieval Evaluation Notebook Papers, Gaithersburg, Maryland, NIST

Publications | Download PDF  

Llorente, A., Little, S. and Rueger, S. (2009) MMIS at ImageCLEF 2009: Non-parametric Density Estimation Algorithms, Working notes for the CLEF 2009 Workshop, Corfu, Greece

Publications | Download PDF Publications | Visit External Site for Details  

Llorente, A. and Rueger, S. (2009) Using Second Order Statistics to Enhance Automated Image Annotation, Proceedings of the 31st European Conference on Information Retrieval, Toulouse, France, 5478, pp. 570-577

Publications | Download PDF  

Llorente, A. and Rueger, S. (2008) Can a Probabilistic Image Annotation System be Improved Using a Co-occurrence Approach?, Proceedings of the Workshop on Cross-Media Information Analysis, Extraction and Management, Koblenz, Germany, 437, pp. 33-42

Publications | Download PDF  

Llorente, A., Zagorac, S., Little, S., Hu, R., Kumar, A., Shaik, S., Ma, X. and Rueger, S. (2008) Semantic Video Annotation using Background Knowledge and Similarity-based Video Retrieval, TREC Video Retrieval Evaluation Notebook Papers, Gaithersburg, Maryland, NIST

Publications | Download PDF Publications | Visit External Site for Details Publications | doi

Llorente, A., Overell, S., Liu, H., Hu, R., Rae, A., Zhu, J., Song, D. and Rueger, S. (2008) Exploiting Term Co-occurrence for Enhancing Automated Image Annotation, Proceedings of the 9th Workshop of the Cross-Language Evaluation Forum (CLEF 2008), LNCS 5706, pp. 632--639, Springer

Publications | Download PDF Publications | Visit External Site for Details  

Overell, S., Llorente, A., Liu, H., Hu, R., Rae, A., Zhu, J., Song, D. and Rueger, S. (2008) MMIS at ImageCLEF 2008: Experiments combining Different Evidence Sources, Working notes for the CLEF 2008 Workshop, Aarhus, Denmark

View By

Other Publications

Jobs

Research Asst / Assoc for Blockchain Learning Verification

Knowledge Media Institute (KMi)
£29,799 - £38,833 (Grade AC1 / AC2)
Based in Milton Keynes
Temporary contract for 18 months

The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Research Assistant or a Research Associate to work on the IoC project & how blockchains can be used to store student accreditation and lifelong learning records in order to enhance employability. The Open University leads the IoC's first theme on university learning, which aims to influence computer science...

Research Asst / Assoc for Mainstreaming Learning Analytics

Knowledge Media Institute (KMi)
£29,799 - £38,833 (Grade AC1 / AC2)
Based in Milton Keynes
Temporary contract until 31st March 2021

The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Research Assistant or a Research Associate to work on the IoC project & how we can adapt, deploy and mainstream our learning analytics tool across a number of educational establishments nationally. The Open University leads the IoC's first theme on university learning, which aims to influence computer...

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team