KMi Seminars
MUP/PLE lecture series
This event took place on Friday 15 July 2011 at 14:00

 
Allison Littlejohn Glasgow Caledonian University

Current trends towards networked communities and digital citizenship, as well as workplace changes including distributed/collaborative work patterns and an (arguably) higher value being placed on 'knowledge' work, all make digital capabilities central to what postgraduate education can offer. While efforts are being made to support students' ICT and information skills – or at least bring these up to a minimum standard of competence – we argue that these are not being followed through the postgraduate experience in a coherent way, or integrated with the development of other capabilities critical to higher learning. Universities are typically not focused on producing researchers who can investigate, study and learn in technology-rich environments. In this session we will explores the nature of digital literacies and implications for researcher development. The presentation is based on a theoretical review of the literature as part of the Learning Literacies for a Digital Age study carried out by Allison Littlejohn, Helen Beetham and Lou McGill (available from http://www.academy.gcal.ac.uk/llida/)

 
KMi Seminars
 

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.

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