Knowledge Media Institute Concept Videos
1994 KMi Virtual Summer School and Future Concept Videos
While working towards the creation of the Knowledge Media Institute in late 1994, Marc Eisenstadt, Tom Vincent and Kitty Chisholm, with support from then-Vice-Chancellor Sir John Daniel, commissioned a team working under the direction of Clive Holloway at the BBC to create a 'concept video'. Their brief was to explain in around 7 minutes what the future of the Open University might be in the rapidly-emerging landscape of new knowledge media technologies.
The concept video was itself inspired by a bold (and ultimately amusing) 'near-miss' attempt to give Open University students a taster of these new experiences during a 1994 "Virtual Summer School". This relied on a series of "best of breed" technologies, including the Mosaic web browser, CU-SeeMe video, and 14.4Kbps dial-up modems! Even with these new and basic technologies, much was learned during the experience, and this ultimately influenced the direction of KMi and the OU over the ensuing decade.
The video sequence includes excerpts from Virtual Summer School, including a segment where it goes horribly wrong, and the full Concept Video. The video itself was not formally "released" because of concerns by the commissioning team about an audience backlash against the emotional "coldness" of the future landscape, but is presented here for historical interest, and for the way in which it reveals the forward-looking nature of some 1994 experiments undertaken in the "early boom" era of the Internet.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...

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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