Suzanne Little
s.little@open.ac.uk
Phone: +44 1908 659834
Fax: +44 1908 653169
Office: Berrill Building, Level 4

I started at KMi in July of 2008, working on the PHAROS project with the MMIS group. The MMIS group researches in the area of Multimedia Information Retrieval and includes video search engines, automated annotation, image databases and interactive multimodal queries. I am now working on the OpenScout project - developing support services for sharing skills, finding and altering open educational resources for business training.

My research applies new methods to interact with multimedia collections by querying with images. I have previously worked with The Open University library to integrate research into content-based video search with the Greenstone Digital Library to index a collection of OU course videos and evaluate the usefulness of query functionalities. I've also been involved in developing the Spot&Search prototype iPhone application to apply some of this research. I have contributed to the SocialLearn project by integrating services to search open educational resources visually (EdMedia Publication).

My research interests include the definition and discovery of multimedia semantics (specifically image annotation), semantic web applications, human-computer interaction and eScience applications.

Prior to moving to KMi, I was a postdoctoral fellow with the EU Network of Excellence MUSCLE (Multimedia Understanding through Semantics, Computation and LEarning) investigating hybrid approaches to semi-automatic semantic annotation of multimedia using machine-learning techniques, semantic inferencing rules and ontologies. I spent the first half of my fellowship at CNR-ISTI in Pisa, Italy and the second half at IBaI in Leipzig, Germany.

I completed my PhD at the University of Queensland in Brisbane, Australia where I worked at the Distributed Systems Technology Centre (DSTC). My thesis was titled "A Semantic Framework for the Management, Analysis and Assimilation of Mixed-media Scientific Data" and described how semantic web technologies could be used to support scientific research by enabling scientists to manage and analyse multimedia data.

Past Projects

Professional Activities