EDBT 2026 Demo / reviewers in the wild / expert
Reiko Mizaki
dblp:40/6345
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 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 |
Visualization and visual analytics · 88% Audio and music processing · 12% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › temporal data visualization
music visualization |
0.0 | 1 | 2002 | Performance visualization: a new challenge to music through visualization · ACM Multimedia 2002 |
Visualization and visual analytics › software visualization
performance visualization |
0.0 | 1 | 2002 | Performance visualization: a new challenge to music through visualization · ACM Multimedia 2002 |
Visualization and visual analytics
information visualization |
0.0 | 1 | 2002 | Performance visualization: a new challenge to music through visualization · ACM Multimedia 2002 |
Audio and music processing
music analysis |
0.0 | 1 | 2002 | Performance visualization: a new challenge to music through visualization · ACM Multimedia 2002 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | Performance visualization: a new challenge to music through visualizationabstractThis paper describes performance visualization with its purposes, significance, and our prototype system. Performance visualization provides us with a new user interface for music systems, a non-subjective explanation and judgment for musical expression, and a visual aid to understand, analyze, and compare performances and their musical structures. It will also introduce a more challenging research on designing a musical data mining interface not by tags nor by contents but by the mood. Other challenges include finding qualitative characteristics of music with analysis methods for information visualization and synesthesia between visualized and sonified information. We will describe which information should be shown on the visualized figures for expressive performance. Then we will show our prototype system to visualize expressive performance consisting of several instruments. Rumi Hiraga, Reiko Mizaki, Issei Fujishiro |
ACM Multimedia | 2 |