Name
Abstract | ||
|---|---|---|
In many spatial and temporal visualization applications, glyphs provide an effective means for encoding multivariate data. However, because glyphs are typically small, they are vulnerable to various perceptual errors. This article introduces the concept of a quasi-Hamming distance in the context of glyph design and examines the feasibility of estimating the quasi-Hamming distance between a pair of glyphs and the minimal Hamming distance for a glyph set. The authors demonstrate the design concept by developing a file-system event visualization that can depict the activities of multiple users. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MCG.2016.66 | IEEE Computer Graphics and Applications |
Keywords | Field | DocType |
Visualization,Object recognition,Liquefied natural gas,Hamming distance | Glyph,Data mining,Hamming code,Information visualization,Glyph (data visualization),Computer science,Visualization,Hamming distance,Computer graphics,Encoding (memory) | Journal |
Volume | Issue | ISSN |
37 | 2 | 0272-1716 |
Citations | PageRank | References |
2 | 0.36 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Philip A. Legg | 1 | 21 | 1.27 |
| Eamonn Maguire | 2 | 359 | 31.64 |
| Simon J. Walton | 3 | 38 | 5.44 |
| Min Chen | 4 | 1293 | 82.69 |