Studentship Vacancies
The Knowledge Media Institute (KMi) is home to internationally recognised researchers in semantic technologies, educational multimedia, collaboration technologies, artificial intelligence, cognitive science, and human-computer interaction. KMi offers students an intellectually challenging environment with exceptional research and computer facilities.We are currently seeking applications for full-time, 3-year research studentships on the following PhD projects. We strongly recommend that you contact the lead researcher directly to discuss your interest prior to writing your proposal.
Human-Agent Collaboration for Distributed Sensemaking and Action
(1700 GMT Monday 18th August 2008)
Learning from structured collections of digital resources
(open until filled)
Information Retrieval Models and Multimedia Analysis
(open until filled)
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
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.
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