Demo Data from SIGIR 2026 / reviewers in the wild / expert
Youngsu Moon
dblp:48/3292
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2Artificial 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 processing · 77% Multimedia analysis and retrieval · 23% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Multimedia analysis and retrieval › video content analysis › video text processing
video text detection |
0.0 | 1 | 2006 | Text segmentation based on stroke filter · ACM Multimedia 2006 |
Methods — techniques the papers use, named apart from their topics
stroke filter · 0.1region growing · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Ghost-Free High Dynamic Range Imaging
Yong Seok Heo, Kyoung Mu Lee, Sang Uk Lee, Youngsu Moon, Joonhyuk Cha |
ACCV (4) | 4 |
| 2006 | Text segmentation based on stroke filterabstractMost existing methods of text segmentation in video images are not robust because they do not consider the intrinsic characteristics of text. In this paper, we propose a novel method of text segmentation based on stroke filter (SF). First, we give the definition of text, which is realized in the form of stroke filter based on local region analysis. Based on stroke filter response, text polarity determination and local region growing modules are performed successively. The effectiveness of our method is validated by experiments on a challenging database. Cheolkon Jung, Youngsu Moon |
ACM Multimedia | 3 |