KMi Seminars
Issues in social mobile computing
This event took place on Friday 23 September 2005 at 13:30

 
Ian Smith Intel Research Laboratory, Seattle, USA

What is social mobile computing? This is a talk in two parts. In the first part, I'll outline what Intel Research Seattle is doing in the area of Social Mobile Computing. This is a new research area, focused on interactions between people that occur outside the traditional "work" settings and where the communications are conducted via mobile devices. In the second part of the talk I'll go walk through the mobile interaction design challenges of one project we are working on and--with any luck--get the audience to solve some our problems for us! The domain of this project is to allow people to more easily "meet-up" or "rendezvous."

Biography: Ian Smith is a senior researcher at the Intel Research Seattle lab in Seattle, Washington. His work focuses on having a big bowl of ubicomp technology, social science, and some software engineering. Stir vigorously and don't forget to drizzle on some privacy. He previously stirred the pot at the Palo Alto Research Center in Palo Alto, California. He was granted a Ph.D. and a chef's hat from the Georgia Institute of Technology in 1998.

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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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