Demo Data from EDBT 2026 / reviewers in the wild / expert
Ping Yu 0010
dblp:72/1358-10
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding › quantization › vector quantization
finite-state vector quantization |
0.0 | 1 | 1994 | Hierarchical finite-state vector quantization for image coding · IEEE Trans. Commun. 1994 |
Image and video coding › scalable coding
hierarchical coding |
0.0 | 1 | 1994 | Hierarchical finite-state vector quantization for image coding · IEEE Trans. Commun. 1994 |
Image and video coding › quantization
vector quantization |
0.0 | 1 | 1994 | Hierarchical finite-state vector quantization for image coding · IEEE Trans. Commun. 1994 |
Image and video coding
image compression |
0.0 | 1 | 1994 | Hierarchical finite-state vector quantization for image coding · IEEE Trans. Commun. 1994 |
Methods — techniques the papers use, named apart from their topics
vector quantization · 0.0hierarchical multirate coding · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Hierarchical finite-state vector quantization for image codingabstractThe hierarchical finite-state vector quantization (HFSVQ) introduced in the paper is an improvement of the finite state vector quantization combined with hierarchical multirate image coding. Based on an understanding of the perception of human eye and the structural features of images, the HFSVQ technique employs different coding rates and different numbers of the predictive states for representative vector selection. The bit rate used to encode images is very low while the reconstructed images can still achieve a satisfactory perceptual quality.> Ping Yu 0010, Anastasios N. Venetsanopoulos |
IEEE Trans. Commun. | 1 |