Demo Data from EDBT 2026 / reviewers in the wild / expert
Chaoyang Zeng
dblp:149/1904
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2020
—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-authorApplied, interdisciplinary, general and emerging computing · 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 · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Haptics and multimodal interaction · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding › image compression › perceptual image compression
perceptually lossless compression |
0.4 | 1 | 2020 | Perception-Lossless Codec of Haptic Data with Low Delay · ACM Multimedia 2020 |
Image and video coding › transform coding
discrete cosine transform coding |
0.1 | 1 | 2020 | Perception-Lossless Codec of Haptic Data with Low Delay · ACM Multimedia 2020 |
Image and video coding
transform coding |
0.1 | 1 | 2020 | Perception-Lossless Codec of Haptic Data with Low Delay · ACM Multimedia 2020 |
Methods — techniques the papers use, named apart from their topics
run-length encoding · 0.9quantization · 0.9perception deadband model · 0.9entropy coding · 0.9DCT · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Perception-Lossless Codec of Haptic Data with Low DelayabstractIn multimedia services, the introduction of haptic signals provides a more immersive user experience besides of conventional audio-visual perceptions. To support synchronous streaming and display of these information, it is imperative to efficiently compress and store the haptic signals, which promotes the development and optimization of haptic codecs. In this paper, we propose an end-to-end haptic codec for high-efficiency, low-delay and perception-lossless compression of kinesthetic signal, one of two major components of haptic signals. The proposed encoder consists of amplifier, DCT, quantizer, run-length encoder and entropy encoder, while the decoder includes all counterpart modules of the encoder. In particular, all parameters of these modules are deliberately calibrated aimed at a high compression efficiency of kinesthetic information. We allow a maximal DCT length of 8 samples, in order to guarantee a maximal encoding delay of 7ms for a popular haptic simulator of 1000Hz. Incorporating the model of perception deadband, the proposed codec is capable of realizing perception-lossless kinesthetic bitsteam. Finally, we examine the proposed codec on the standard database of IEEE P1918.1.1 Haptic Codecs Task Group. Comprehensive experiments reveal that our codec outperforms its rivals with 50% bit rate reduction, improved perception quality and a negligible encoder delay. Chaoyang Zeng, Tiesong Zhao, Qian Liu 0001 |
ACM Multimedia | 1 |
| 2005 | Design of a System for Combined Analysis of Microarray-based Gene Expressionand Fly Base-derived Annotation in Drosophila
Bormi Shin, Chaoyang Zeng |
AMIA | 4 |