Demo Data from EDBT 2026 / reviewers in the wild / expert
Stefan Ericsson
dblp:71/1540
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1985
—ORCID · none
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding › transform coding
adaptive transform coding |
0.0 | 1 | 1985 | Fixed and Adaptive Predictors for Hybrid Predictive/Transform Coding · IEEE Trans. Commun. 1985 |
Image and video coding › video compression
interframe coding |
0.0 | 1 | 1985 | Fixed and Adaptive Predictors for Hybrid Predictive/Transform Coding · IEEE Trans. Commun. 1985 |
Image and video coding › video compression
motion compensation |
0.0 | 1 | 1985 | Fixed and Adaptive Predictors for Hybrid Predictive/Transform Coding · IEEE Trans. Commun. 1985 |
Methods — techniques the papers use, named apart from their topics
mean square prediction error minimization · 0.0fractional pel motion estimation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1985 | Fixed and Adaptive Predictors for Hybrid Predictive/Transform CodingabstractHybrid predictive/transform coding is studied. The usual formulation is to first apply a unitary transform and then code the transform coefficients with independent DPCM coders, i.e., the prediction is performed in the transform domain. This structure is compared to spatial domain prediction, where a difference signal is formed in the spatial domain and then coded by a transform coder. A linear spatial domain predictor which minimizes the mean square prediction error also minimizes the mean square of each transform coefficient. The two structures are equivalent if the transform domain prediction scheme is extended to a more general predictor. Hence, the structure that gives the easiest implementation can be chosen. The spatial domain structure is preferred for motion compensation and for line interlaced video signals. Interframe hybrid coding experiments are performed on interlaced videophone scenes using an adaptive transform coder. Motion compensation gives a rate reduction of 25-35 percent compared to frame difference prediction with the same mean square error. The subjective advantage is even greater, since the "dirty window" effect is not present with motion compensation. It is important to perform the motion estimation with fractional pel accuracy. Field coding with a switched predictor using previous field in moving areas is an interesting alternative to frame coding with frame difference prediction. Stefan Ericsson |
IEEE Trans. Commun. | 1 |