KMi Publications

External Publications

6 publications | Chris Valentine


Publications | Visit External Site for Details

Dovrolis, N., Stefanut, T., Dietze, S., Yu, H.Q., Valentine, C. and Kaldoudi, E. (2011) Semantic Annotation and Linking of Medical Educational Resources, 5th European Conference of the International Federation for Medical and Biological Engineering (IFMBE MBEC), Budapest, Hungary

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Kelley, P., Tindle, D., Anand, D., Whalley, P., Hogan, P., Valentine, C., Pillinger, P., Gibson, E. and Schwenzer, S. (2011) The Open University-NASA Apollo Virtual Microscope - a tool for Education and Outreach, Poster at 42nd Lunar and Planetary Science Conference, The Woodlands, Texas, USA

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Wild, F., Valentine, C. and Scott, P. (2010) Shifting Interests: Changes in the Lexical Semantics of ED-MEDIA, International Journal on E-Learning, Chesapeake, VA, 9, 4, pp. 549-562, AACE

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Davies, S., Collins, T., Gaved, M., , J., Valentine, C. and McCann, L. (2010) Enabling remote activity: using mobile technology for remote participation in geoscience fieldwork, Proc. European Geosciences Union General Assembly 2010 (EGU 2010), Vienna, Austria

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Comas-Quinn, A., Mardomingo, R. and Valentine, C. (2009) Mobile blogs in language learning: making the most of informal and situated learning opportunities, ReCALL, 21, 1, pp. 96-112, European Association for Computer Assisted Language Learning

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Gaved, M., Collins, T., Bartlett, J., Davies, S., Valentine, C., McCann, L. and Wright, M. (2008) ERA: On-the-fly networking for collaborative geology fieldwork, The Proceedings of the 7th World Conference on Mobile and Contextual Learning (mLearn-2008), Telford, Shropshire, UK

 
 
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

Visit the MMIS website