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Ian Karl Levy

dblp:78/987 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2001
—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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › quantization
vector quantization		 0.012001
Three-dimensional wavelet transform video coding using symmetric codebook vector quantization · IEEE Trans. Image Process. 2001
Image and video coding
video compression		 0.012001
Three-dimensional wavelet transform video coding using symmetric codebook vector quantization · IEEE Trans. Image Process. 2001
Image and video coding › video compression
wavelet-based video coding		 0.012001
Three-dimensional wavelet transform video coding using symmetric codebook vector quantization · IEEE Trans. Image Process. 2001

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

vector quantization · 0.0symmetric codebook design · 0.03d wavelet transform · 0.0
YearPublicationVenuePosition
2001 Three-dimensional wavelet transform video coding using symmetric codebook vector quantization
abstract
A new vector quantizer codebook design for video compression is described. This uses the notion that symmetries in the data, which are seldom captured exactly in any training dataset, are important perceptually and lead to a more robust codebook. The method is illustrated using three-dimensional (3-D) wavelet transformed video sequences.
Ian Karl Levy, Roland Wilson
 IEEE Trans. Image Process.1
1999 Symmetry-Adapted Wavelet Transform Image Compression
abstract
A novel wavelet decomposition, based on a set of six oriented bands in each scale, is presented and its use in image data compression described. The new decomposition uses complex wavelets derived from the conventional separable dyadic transform. The new representation is used in a vector quantizer (VQ), which exploits the symmetry relations which exist between the bands in different scales and orientations. The resulting coder performance is competitive with schemes such as embedded zerotrees.
Ian Karl Levy, Roland Wilson
 ICIP (2)1