EDBT 2026 Demo / reviewers in the wild / expert
Yuan-Yang Chang
dblp:47/9054
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
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 · 56% Computational photography and imaging · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational photography and imaging › image aesthetics
photo composition |
0.1 | 1 | 2009 | Finding good composition in panoramic scenes · ICCV 2009 |
Visualization and visual analytics › visualization recommendation
view selection |
0.1 | 1 | 2009 | Finding good composition in panoramic scenes · ICCV 2009 |
Visualization and visual analytics
visual saliency |
0.0 | 1 | 2009 | Finding good composition in panoramic scenes · ICCV 2009 |
Methods — techniques the papers use, named apart from their topics
stochastic search · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Finding good composition in panoramic scenesabstractWe introduce a new problem of automatic photo composition, and present an effective technique for finding good views within a panoramic scene. Instead of applying heuristic rules of photo composition, we propose to imitate good composition presented in the artworks of professional photographers. Our approach tries to model the composition styles of professional photographs by analyzing the structural features and the layout of visual saliency. The task of finding good photo composition through a viewfinder is formulated as a search problem, and we present a stochastic search algorithm to look for good viewing configurations and to choose suitable reference images from the collection of masterpiece photographs. Given any initial location in the panoramic scene, our algorithm is able to suggest a better view that would often yield professional-like photo composition. Yuan-Yang Chang, Hwann-Tzong Chen |
ICCV | 1 |