ARTD6063 CONTEMPORARY ISSUES 4

The module takes as its starting point the assumption that as future artists, designers and professionals in the creative industries you will be future producers of visual culture. You will be introduced to some of the core theoretical issues that underpin the production of visual culture including questions of what an image is, how it works, its relationship to ideology and theories of representation. Please contact Gordon Hon if you have any questions before selecting the module. G.Hon@soton.ac.uk

ImageLearn - Decoding Britain's Landscape

Abstract Ordnance Survey, our national mapping organisation, collects vast amounts of high-resolution aerial imagery covering the entirety of the country. Currently, photogrammetrists and surveyors use this to manually capture real-world objects and characteristics for a relatively small number of features. Arguably, the vast archive of imagery that we have obtained portraying the whole of Great Britain is highly underutilised and could be ‘mined’ for much more information. Over the last year the ImageLearn project has investigated the potential of "representation learning" to automatically extract relevant features from aerial imagery. Representation learning is a form of data-mining in which the feature-extractors are learned using machine-learning techniques, rather than being manually defined. At the beginning of the project we conjectured that representations learned could help with processes such as object detection and identification, change detection and social landscape regionalisation of Britain. This seminar will give an overview of the project and highlight some of our research results.

Representation of Structure

Organic Molecules: Depiction of Structure - The Basics. Powerpoint presentation of A Level revision material for 1st year undergraduates written by Jeremy Hinks, School of Chemistry in 2002.