Ellis, G. and Dix, Alan (2002) Density Control Through Random Sampling: An Architectural Perspective. In: International Conference on Information Visualisation (IVO2), 1900-01-01.
|PDF (ellis_random_sampling.pdf) |
Available under License IEEE.
Download (168Kb) | Preview
Information visualisation systems often have to cope with presenting large amounts of data. In this paper we look at the problem of reducing the display density through the use of random sampling. We review some of the uses of sampling and examine density reduction techniques currently used in visualisation. We then look at a proposed novel visualisation that utilises sampling and discuss many issues that arise. Furthermore, we propose the ζDB sampling database architecture and demonstrate how this can be used to enhance current visualisation applications. Finally, we describe the architecture of a sampling aware application and illustrate its advantages.
|Item Type:||Conference or Workshop Item (Paper)|
|Journal or Publication Title:||International Conference on Information Visualisation (IVO2)|
|Uncontrolled Keywords:||cs_eprint_id ; 548 cs_uid ; 1|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||19 Jun 2008 12:12|
|Last Modified:||04 Nov 2015 07:05|
Actions (login required)