Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jens Rosebrock
dblp:07/1244
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.
| Theoretical computer science
1 paper |
Coding theory · 100% | |
| Computer graphics and multimedia
1 paper |
Image and video coding · 100% |
Topics — the 6 heaviest of 6, 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 | 1992 | Shape-Gain Vector Quantization for Noisy Channels with Applications to Image Coding · IEEE J. Sel. Areas Commun. 1992 |
Image and video coding › transform coding
transform image coding |
0.0 | 1 | 1992 | Shape-Gain Vector Quantization for Noisy Channels with Applications to Image Coding · IEEE J. Sel. Areas Commun. 1992 |
Coding theory › source coding › quantization › robust quantization
channel-optimized quantization |
0.0 | 1 | 1992 | Shape-Gain Vector Quantization for Noisy Channels with Applications to Image Coding · IEEE J. Sel. Areas Commun. 1992 |
Coding theory › source coding › quantization › vector quantization
shape-gain quantization |
0.0 | 1 | 1992 | Shape-Gain Vector Quantization for Noisy Channels with Applications to Image Coding · IEEE J. Sel. Areas Commun. 1992 |
Coding theory › source coding › quantization
vector quantization |
0.0 | 1 | 1992 | Shape-Gain Vector Quantization for Noisy Channels with Applications to Image Coding · IEEE J. Sel. Areas Commun. 1992 |
Coding theory
channel coding |
0.0 | 1 | 1992 | Shape-Gain Vector Quantization for Noisy Channels with Applications to Image Coding · IEEE J. Sel. Areas Commun. 1992 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0channel-optimized quantizer design · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Absolute Attitude From Monostatic Radar Measurements of Rotating ObjectsabstractThe Tracking and Imaging Radar (TIRA) System is used to determine orbits and to generate Inverse Synthetic Aperture Radar (ISAR) images of satellites. In certain situations such as damage analysis, a satellite to be observed is not stabilized, and its attitude is not known in advance. In order to assess the situation, the intrinsic motion is important to know. In this paper, several algorithms are derived and tested which estimate a constant rotational motion from 3-D features obtained from 2-D ISAR images by a modified stereo vision algorithm. Jens Rosebrock |
IEEE Trans. Geosci. Remote. Sens. | 1 |
| 1992 | Shape-Gain Vector Quantization for Noisy Channels with Applications to Image CodingabstractA new design procedure for shape-gain vector quantizers (SGVQs) which leads to substantially improved robustness against channel errors without increasing the computational complexity is proposed. This aim is achieved by including the channel transition probabilities in the design procedure, leading to an improved assignment of binary codewords to the coding regions as well as a change of partition and centroids. In contrast to conventional design, negative gain values are also permitted. The new design procedure is applied to adaptive transform image coding. Simulation results are compared with those obtained by the conventional design procedure. The new algorithm is particularly useful for heavily distorted or fading channels.> Jens Rosebrock, Philipp W. Besslich |
IEEE J. Sel. Areas Commun. | 1 |