Demo Data from VLDB 2026 / reviewers in the wild / expert
Louis D. Fielder
dblp:202/8721
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Applied, 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 · 61% Audio and music processing · 30% Multimedia systems and quality of experience · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing
audio coding |
0.1 | 1 | 2006 | ATSC Video and Audio Coding · Proc. IEEE 2006 |
Image and video coding › video coding standards
MPEG-2 |
0.1 | 1 | 2006 | ATSC Video and Audio Coding · Proc. IEEE 2006 |
Image and video coding
video compression |
0.1 | 1 | 2006 | ATSC Video and Audio Coding · Proc. IEEE 2006 |
Multimedia systems and quality of experience › interactive multimedia
interactive television |
0.0 | 1 | 2006 | ATSC Video and Audio Coding · Proc. IEEE 2006 |
Methods — techniques the papers use, named apart from their topics
transform coding · 0.1perceptual coding · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | ATSC Video and Audio CodingabstractIn recent decades, digital video and audio coding technologies have helped revolutionize the ways we create, deliver, and consume audiovisual content. This is exemplified by digital television (DTV), which is emerging as a captivating new program and data broadcasting service. This paper provides an overview of the video and audio coding subsystems of the Advanced Television Systems Committee (ATSC) DTV standard. We first review the motivation for data compression in digital broadcasting. The MPEG-2 video and AC-3 audio compression algorithms are described, with emphasis on basic concepts, system features, and coding performance. Next-generation video and audio codecs currently under consideration for advanced services are also presented. Grant A. Davidson, Michael A. Isnardi, Louis D. Fielder, Matthew S. Goldman, Craig C. Todd |
Proc. IEEE | 3 |
| 1990 | High-quality audio transform coding at 128 kbits/sabstractAn approach to wideband digital audio compression of CD-quality signals at data rates of 128 kb/s channel and below is presented. A form of adaptive transform coding, this technique features a nonuniform frequency division and coding scheme to exploit known characteristics of human perception. The algorithm has low computational complexity and can be adapted for use at other bit rates. A windowed overlap-add process is used with the forward/inverse transforms, which have been efficiently implemented using FFTs. Transform coefficients are converted into a subband block-companded format consisting of exponent words and associated mantissas, which are then coded with an adaptive quantizer. A real-time, single-chip programmable digital signal processing (DSP) implementation encodes 480-kHz-sampled stereo audio signals at a variety of bit rates. At 128 kb/s, the coder's subjective performance is appropriate for highest-quality 15-kHz professional audio applications.> Grant A. Davidson, Louis D. Fielder, Mike Antill |
ICASSP | 2 |