Getting poster data...
Stephen Taylor and Roger Noble (University of Oxford, Oxford, UK)As high throughput computational tools have enabled large-scale dna sequence analysis, analysing large numbers of images requires informatics tools to be improved. Image analysis techniques usually require visual inspection and verification of the analysis results, but access to raw and derived results of many images rapidly becomes a challenge. Even image collections of large manually annotated databases may be difficult to comprehend since users frequently want to observe patterns that may not necessarily becaptured in the metadata. A key aim of this research is to facilitate mining of complex image data sets, allowing users to quickly filter out false positive leads and combine querying with the human brain's innate pattern recognition ability. Zegami allows visualisation and seamless querying of associated metadata across collections of thousands of images and movies in any web enabled device.