Dynamic label sampling on fisheye maps for information exploration
- 1 May 2000
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 238-241
- https://doi.org/10.1145/345513.345325
Abstract
For data with large dimensionality, placing labels is critical for users' comprehension of a scatterplot or a map of items. We propose a dynamic label sampling technique that, combined with graphical fisheye views, selects appropriate labels out of a large set of items on a map. Labels are sampled to give focus and contextual information according to users' panning/zooming and filtering operation. The paper also demonstrates an example of visual exploration with the image browser based on our technique.Keywords
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