People

Members [59]

Affiliates [6]
Alumni [178]
 

News

 
KMi People
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

People | Alumni | Paul Hogan

Mobile Applications Developer

I have worked for The Open University for the past 25 years, the last 16 as a Systems Developer creating database applications for the University's distribution site. Recently I have moved to KMi to become the resident Mobile Applications Developer tasked with developing applications to run on the iPhone / iPod Touch with the goal to port these applications to at least one other mobile device, Android or Microsoft mobile.

Keys: iPhone, iPod Touch, Mobile Development, Objective-C, Xcode, C/C++, Visual Studio.NET, VB.NET

External Publication(s)

Publications | Visit External Site for Details

Kelley, P., Tindle, D., Anand, D., Whalley, P., Hogan, P., Valentine, C., Pillinger, P., Gibson, E. and Schwenzer, S. (2011) The Open University-NASA Apollo Virtual Microscope - a tool for Education and Outreach, Poster at 42nd Lunar and Planetary Science Conference, The Woodlands, Texas, USA

 
 
Knowledge Media Institute | The Open University | Allan Hogan Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

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.

Visit the MMIS website