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Benjamin M. Gordon

dblp:99/1970 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Interaction techniques and input › voice interaction
speech input
0.112011
Developing a Language for Spoken Programming · AAAI 2011
Image and video coding › error resilience
error-resilient image coding
0.011995
Portable video-on-demand in wireless communication · Proc. IEEE 1995
Image and video coding › video compression
intra coding
0.011995
Portable video-on-demand in wireless communication · Proc. IEEE 1995
Image and video coding
video compression
0.011995
Portable video-on-demand in wireless communication · Proc. IEEE 1995
Integrated circuit design
low-power circuit design
0.011995
Portable video-on-demand in wireless communication · Proc. IEEE 1995
Content delivery and video streaming
video-on-demand
0.011995
Portable video-on-demand in wireless communication · Proc. IEEE 1995
Wireless networking › wireless multimedia
wireless video transmission
0.011995
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
YearPublicationVenuePosition
2011 Developing a Language for Spoken Programming
Benjamin M. Gordon
AAAI1
1995 Portable video-on-demand in wireless communication
abstract
Our 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. IEEE2
1994 A low power subband video decoder architecture
abstract
The 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