Demo Data from EDBT 2026 / reviewers in the wild / expert
Thamas Fischer
dblp:165/3622
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding › predictive coding
differential pulse code modulation |
0.0 | 1 | 1987 | Transform and Hybrid Transform/DPCM Coding of Images Using Pyramid Vector Quantization · IEEE Trans. Commun. 1987 |
Image and video coding › video compression
hybrid coding |
0.0 | 1 | 1987 | Transform and Hybrid Transform/DPCM Coding of Images Using Pyramid Vector Quantization · IEEE Trans. Commun. 1987 |
Image and video coding › quantization › vector quantization
pyramid vector quantization |
0.0 | 1 | 1987 | Transform and Hybrid Transform/DPCM Coding of Images Using Pyramid Vector Quantization · IEEE Trans. Commun. 1987 |
Image and video coding
transform coding |
0.0 | 1 | 1987 | Transform and Hybrid Transform/DPCM Coding of Images Using Pyramid Vector Quantization · IEEE Trans. Commun. 1987 |
Image and video coding
image compression |
0.0 | 1 | 1987 | Transform and Hybrid Transform/DPCM Coding of Images Using Pyramid Vector Quantization · IEEE Trans. Commun. 1987 |
Methods — techniques the papers use, named apart from their topics
rate assignment · 0.0mean squared error analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1987 | Transform and Hybrid Transform/DPCM Coding of Images Using Pyramid Vector QuantizationabstractThe transform and hybrid transform/DPCM methods of image coding are generalized to allow pyramid vector quantization of the transform coefficients. An asymptotic mean-squared error performance expression is derived for the pyramid vector quantizer and used to determine the optimum rate assignment for encoding the various transform coefficients. Coding simulations for two images at average rates of 0.5-1 bit/pixel demonstrate a 1-3 dB improvement in signal-to-noise ratio for the vector quantization approach in the hybrid coding, with more modest improvements in signal-to-noise ratio in the transform coding. However, this improvement is quite noticeable in image quality, particularly in reducing "blockiness" in the low bit rate encoded images. Huey-Chen Tseng, Thamas Fischer |
IEEE Trans. Commun. | 2 |