Demo Data from EDBT 2026 / reviewers in the wild / expert
A. F. Lehar
dblp:80/9703
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1983
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Image and video coding · 77% Visualization and visual analytics · 12% Multimedia analysis and retrieval · 12% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding › image compression
color image compression |
0.0 | 1 | 1983 | Manipulation and Presentation of Multidimensional Image Data Using the Peano Scan · IEEE Trans. Pattern Anal. Mach. Intell. 1983 |
Image and video coding
image compression |
0.0 | 1 | 1983 | Manipulation and Presentation of Multidimensional Image Data Using the Peano Scan · IEEE Trans. Pattern Anal. Mach. Intell. 1983 |
Multimedia analysis and retrieval
image classification |
0.0 | 1 | 1983 | Manipulation and Presentation of Multidimensional Image Data Using the Peano Scan · IEEE Trans. Pattern Anal. Mach. Intell. 1983 |
Visualization and visual analytics › data visualization › image visualization
multispectral image visualization |
0.0 | 1 | 1983 | Manipulation and Presentation of Multidimensional Image Data Using the Peano Scan · IEEE Trans. Pattern Anal. Mach. Intell. 1983 |
Methods — techniques the papers use, named apart from their topics
peano scan · 0.0fractal curve transform · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1983 | Manipulation and Presentation of Multidimensional Image Data Using the Peano ScanabstractA fractal curve first discussed by Giuseppe Peano has useful statistical properties in image processing. The curve can act as a transform between a line and n-dimensional space retaining some of the spatially associative properties of the space. Applications of the curve include multispectral image display, compression in the color and spa-tial domain, classification, and color display. The technique enables the display of high quality color images on a frame store capable of displaying only 256 colors simultaneously. A logically ordered and complete set of colors for false color work can be selected. An im-provement in compression by about 3X for color images can be ob-tained by using this method in conjunction with an existing spatial compression technique. A simple algorithm for constructing the curves is shown. R. J. Stevens, A. F. Lehar, F. H. Preston |
IEEE Trans. Pattern Anal. Mach. Intell. | 2 |