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Eric A. Gifford

dblp:22/6028 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1995
—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-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.

Computer graphics and multimedia
1 paper
Image and video coding · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › predictive coding
differential pulse code modulation		 0.011995
Image coding using adaptive recursive interpolative DPCM · IEEE Trans. Image Process. 1995
Image and video coding
predictive coding		 0.011995
Image coding using adaptive recursive interpolative DPCM · IEEE Trans. Image Process. 1995
Image and video coding
quantization		 0.011995
Image coding using adaptive recursive interpolative DPCM · IEEE Trans. Image Process. 1995
Image and video coding › quantization
trellis coded quantization		 0.011995
Image coding using adaptive recursive interpolative DPCM · IEEE Trans. Image Process. 1995

Methods — techniques the papers use, named apart from their topics

rate allocation · 0.0entropy-constrained quantization · 0.0adaptive classification · 0.0
YearPublicationVenuePosition
1995 Image coding using adaptive recursive interpolative DPCM
abstract
A predictive image coder having minimal decoder complexity is presented. The image coder utilizes recursive interpolative DPCM in conjunction with adaptive classification, entropy-constrained trellis coded quantization, and optimal rate allocation to obtain signal-to-noise ratios (SNRs) in the range of those provided by the most advanced transform coders.
Eric A. Gifford, Bobby R. Hunt, Michael W. Marcellin
 IEEE Trans. Image Process.1
1994 Image coding using adaptive recursive interpolative DPCM with entropy-constrained trellis coded quantization
abstract
A predictive image coder having minimal decoder complexity is presented. The image coder utilizes recursive interpolative DPCM in conjunction with adaptive classification, entropy-constrained trellis coded quantization, and optimal rate allocation to obtain signal-to-noise ratios in the range of the most advanced transform coders.>
Eric A. Gifford, Bobby R. Hunt, Michael W. Marcellin
 ICASSP (5)1