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Further Information | Marta Sabou
Marta Sabou
Research Fellow
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Further Information | Monia Sannia
Monia Sannia
Visiting Researcher
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Further Information | Andreas Scheuermann
Andreas Scheuermann
Visiting Research Associate
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Further Information | Denilson Sell
Denilson Sell
Visiting Research Student
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Further Information | Albert Selvin
Albert Selvin
Part Time PhD Research Student
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Further Information | Bertrand Sereno
Bertrand Sereno
Research Student
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Further Information | Peter Sharpe
Peter Sharpe
Senior Administrator
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Further Information | Anu Simon
Anu Simon
SocialLearn Web Developer
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Further Information | Dawei Song
Dawei Song
Senior Lecturer
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Further Information | Lucia Specia
Lucia Specia
Research Fellow
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Further Information | Kosmas Stampoulidis
Kosmas Stampoulidis
PhD Research Student
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Further Information | Arthur Stutt
Arthur Stutt
Research Fellow
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Further Information | Mari Suárez-Figueroa
Mari Suárez-Figueroa
Visiting Reseacher
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Further Information | Tamara Sumner
Tamara Sumner
University of Colorado at Boulder
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Further Information | Sarah Sutcliffe
Sarah Sutcliffe
Graphic Designer
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Further Information | Jan Svehla
Jan Svehla
Internship
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Knowledge Media Institute | The Open University | Staff List Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

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