Demo Data from VLDB 2026 / reviewers in the wild / expert
Benjamin M. Gordon
dblp:99/1970
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorApplied, 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.
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 100% | |
| Computer graphics and multimedia
1 paper |
Image and video coding · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Integrated circuit design · 100% | |
| Computer networks
1 paper |
Wireless networking · 50% Content delivery and video streaming · 50% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input › voice interaction
speech input |
0.1 | 1 | 2011 | Developing a Language for Spoken Programming · AAAI 2011 |
Image and video coding › error resilience
error-resilient image coding |
0.0 | 1 | 1995 | Portable video-on-demand in wireless communication · Proc. IEEE 1995 |
Image and video coding › video compression
intra coding |
0.0 | 1 | 1995 | Portable video-on-demand in wireless communication · Proc. IEEE 1995 |
Image and video coding
video compression |
0.0 | 1 | 1995 | Portable video-on-demand in wireless communication · Proc. IEEE 1995 |
Integrated circuit design
low-power circuit design |
0.0 | 1 | 1995 | Portable video-on-demand in wireless communication · Proc. IEEE 1995 |
Content delivery and video streaming
video-on-demand |
0.0 | 1 | 1995 | Portable video-on-demand in wireless communication · Proc. IEEE 1995 |
Wireless networking › wireless multimedia
wireless video transmission |
0.0 | 1 | 1995 | Portable video-on-demand in wireless communication · Proc. IEEE 1995 |
Methods — techniques the papers use, named apart from their topics
intra-frame compression · 0.0intraframe compression · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Developing a Language for Spoken Programming
Benjamin M. Gordon |
AAAI | 1 |
| 1995 | Portable video-on-demand in wireless communicationabstractOur present ability to work with video has been confined to a wired environment, requiring both the video encoder and decoder to be physically connected to a power supply and a wired communication link. This paper describes an integrated approach to the design of a portable video-on-demand system capable of delivering high-quality image and video data in a wireless communication environment. The discussion will focus on both the algorithm and circuit design techniques developed for implementing a low-power video compression/decompression system at power levels that are two orders of magnitude below existing solutions. This low-power video compression system not only provides a compression efficiency similar to industry standards, but also maintains a high degree of error tolerance to guard against transmission errors often encountered in wireless communication. The required power reduction can best be attained through reformulating compression algorithms for energy conservation. We developed an intra-frame compression algorithm that requires minimal computation energy in its hardware implementations.> Teresa H. Meng, Benjamin M. Gordon, Ely K. Tsern, Andy C. Hung |
Proc. IEEE | 2 |
| 1994 | A low power subband video decoder architectureabstractThe paper describes a VLSI architecture designed to reconstruct a subband-encoded video stream. This architecture differs from previous designs in its low power operation. The chip operates at a maximum 20 MHz with a 1.5 V supply and can process up to 10 M color (YUV) pixels/sec while dissipating only 16 mW. The low power consumption is achieved through efficient algorithm-to-hardware mapping, a low-complexity subband filter, minimal memory accesses, a reduced supply voltage, and elimination of external memory support. A single chip will support color images up to 352 pixels wide, while multiple chip configurations can achieve any desired display resolution.> Benjamin M. Gordon, Teresa H. Meng |
ICASSP (2) | 1 |