Demo Data from EDBT 2026 / reviewers in the wild / expert
Wallace Kai-Hong Ho
dblp:15/4389
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, 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 |
Image and video coding · 87% Image and video processing · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding
scalable video coding |
0.1 | 1 | 2005 | Content-based scalable H.263 video coding for road traffic monitoring · IEEE Trans. Multim. 2005 |
Image and video coding › video compression
surveillance video coding |
0.1 | 1 | 2005 | Content-based scalable H.263 video coding for road traffic monitoring · IEEE Trans. Multim. 2005 |
Image and video processing › motion analysis
moving object detection |
0.0 | 1 | 2005 | Content-based scalable H.263 video coding for road traffic monitoring · IEEE Trans. Multim. 2005 |
Methods — techniques the papers use, named apart from their topics
temporal-spatial redundancy reduction · 0.1content-based scalability · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Content-based scalable H.263 video coding for road traffic monitoringabstractFor sending video data through very low bit-rate mobile channels, video codec with high compression rate is the pre-requisite. Although the H.263 video codec is recommended as one of the candidates due to its simplicity and efficiency, it is generally believed that its compression efficiency can be further improved if the content-based scalable video coding technique can be applied. In this paper, we propose a modified H.263 encoder which supports real-time content-based scalable video coding. The proposed technique is applied to real-time video surveillance systems for road traffic monitoring. For the proposed approach, the moving objects, i.e. cars, are first extracted from the steady background. Their activities are then further classified as fast or slow by assessing the regularity of their motion. The information is then passed to a modified H.263 encoder to reduce the temporal and spatial redundancies in the video. As compared with the conventional H.263 encoder using for the same application, the proposed system has a 20% increase in compression rate with negligible visual distortion. The proposed system fully complies with the ITU H.263 standard hence the encoded bit stream is completely comprehensible to the conventional H.263 decoder. Wallace Kai-Hong Ho, Wai Kong Cheuk, Daniel Pak-Kong Lun |
IEEE Trans. Multim. | 1 |