Tech Reports
Tech Report kmi-08-03 Abstract
Modelling social context to improve online multimedia search
Techreport ID: kmi-08-03
Date: 2008
Author(s): Adam Rae
As the cost of production, storage and dissemination has plummeted for images, audio and video, challenges have arisen regarding how to most e?ectively handle this wealth of information. Digital recording devices have become cheaper, more widely available and are able to recording in better quality than ever before. Media representation has given us lossy and lossless file formats suitable for many different situations, from satellite broadcast to mobile streaming, each with their unique requirements and capabilities. Digital file storage devices have grown more capacious, high performing and more reliable. The one area that has not caught up is how to search and retrieval multimedia efficiently and e?ectively in these new, vast data sets and this is the focus for my work. More specifically, I wish to investigate the relationship between social context data and its e?ect on multimedia information retrieval.
Publication(s):
Probation review report carried out around 9 months after the start of doctoral work. Submitted 28/08/08
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Future Internet is...

To succeed the Future Internet will need to address a number of cross-cutting challenges including:
- Scalability in the face of peer-to-peer traffic, decentralisation, and increased openness
- Trust when government, medical, financial, personal data are increasingly trusted to the cloud, and middleware will increasingly use dynamic service selection
- Interoperability of semantic data and metadata, and of services which will be dynamically orchestrated
- Pervasive usability for users of mobile devices, different languages, cultures and physical abilities
- Mobility for users who expect a seamless experience across spaces, devices, and velocities
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