KMi Publications

External Publications

15 publications | pharos


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

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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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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

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Liu, H., Zagorac, S., Uren, V., Song, D. and Rueger, S. (2009) Enabling Effective User Interactions in Content-Based Image Retrieval, The 5th Asia Information Retrieval Symposium (AIRS2009), Sapporo, Japan, pp. 265-276, Springer

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Little, S. and Rueger, S. (2009) Conservation of Effort in Feature Selection for Image Annotation, Workshop: IEEE Multimedia Signals Processing (MMSP), Brazil

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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

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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

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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

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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

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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

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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

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Liu, H., Song, D., Rueger, S., Hu, R. and Uren, V. (2008) Comparing Dissimilarity Measures for Content-based Image Retrieval, The 4th Asia Information Retrieval Symposium (AIRS2008), Harbin, China, pp. 44-50, Springer

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Huang, Z., Shen, H., Zhou, X., Song, D. and Rueger, S. (2007) Dimensionality Reduction for Dimension-specific Search, Poster at The 30th Annual International ACM SIGIR Conference (SIGIR'2007), pp. 849-850

 
 
 

Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.