Semantic fisheye views
| dc.contributor.author | Le Comte, D. | |
| dc.date.accessioned | 2016-02-03T22:16:09Z | |
| dc.date.available | 2016-02-03T22:16:09Z | |
| dc.date.issued | 1997 | en |
| dc.description.abstract | Visualisation of large quantities of information requires distortion for retention of context and detail. Fisheye views are based on fisheye lenses, which retain detail while introducing greater context. Typically this form of distortion compacts more information into a smaller region, irrespective of its relevance. Retaining irrelevant information clutters screen space, causing information overload which overwhelms a users cognition. Distorting the information based on its underlying structure, allows for selective suppression, producing a more meaningful display with less content. Typically the underlying structure can be represented by a graph, consisting of vertices and edges. This structure takes many forms, in this paper the limitations to these forms are discussed and extensions are presented which allow greater flexibility, retaining both detail and context while reducing information overload. | en |
| dc.identifier.uri | http://hdl.handle.net/10092/11762 | |
| dc.language.iso | en | |
| dc.publisher | University of Canterbury | en |
| dc.rights | All Rights Reserved | en |
| dc.rights.uri | https://canterbury.libguides.com/rights/theses | |
| dc.subject.anzsrc | Fields of Research::51 - Physical sciences::5103 - Classical physics::510302 - Classical and physical optics | en |
| dc.subject.anzsrc | Fields of Research::46 - Information and computing sciences::4603 - Computer vision and multimedia computation::460306 - Image processing | en |
| dc.title | Semantic fisheye views | en |
| dc.type | Theses / Dissertations | |
| uc.college | Faculty of Engineering | |
| uc.department | School of Engineering | en |