KMi Seminars
Ubiquitous Computing: A Research Grand Challenge
This event took place on Thursday 02 March 2006 at 12:30

 
Prof. Morris Sloman Department of Computing, Imperial College London

Pervasive or ubiquitous computing systems consist of large numbers of 'invisible' computers embedded into the environment which may interact with mobile users or form intelligent networks for sensing environmental conditions. Users will experience this world through a wide variety of devices, some they will wear (e.g medical monitoring systems), some they will carry (e.g. personal communicators that integrate mobile phones and PDAs), and some that are implanted in the vehicles they use (e.g car information systems). This heterogeneous collection of devices will interact with intelligent sensors and actuators embedded in our homes, offices, transportation systems to form an intelligent pervasive environment which aids normal activities related to work, education, entertainment or healthcare.

This talk will discuss some of the research issues related to security, management and theory identified as a 'Grand Challenge'.

About the Speaker:

Professor Morris Sloman is Director of Research and Deputy Head of Department in the Department of Computing, Imperial College London. He chairs the Ubiquitous Computing Grand Challenge and is involved in a number of EPSRC (including UK-UbiNet)and DTI funded projects on ubiquitous computing

Download PowerPoint presentation (6.2Mb ZIP file)

 
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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