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Dae-Gwon Jeong

dblp:93/2233 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2018
—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-authorTheory of computation · 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.

Computer graphics and multimedia
1 paper
Image and video coding · 100%
Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › quantization › vector quantization
lattice vector quantization		 0.011995
Image coding with uniform and piecewise-uniform vector quantizers · IEEE Trans. Image Process. 1995
Image and video coding › quantization
vector quantization		 0.011995
Image coding with uniform and piecewise-uniform vector quantizers · IEEE Trans. Image Process. 1995
Coding theory › source coding › quantization › structured vector quantization
lattice vector quantization		 0.011993
Uniform and piecewise uniform lattice vector quantization for memoryless Gaussian and Laplacian sources · IEEE Trans. Inf. Theory 1993
Coding theory
source coding		 0.011993
Uniform and piecewise uniform lattice vector quantization for memoryless Gaussian and Laplacian sources · IEEE Trans. Inf. Theory 1993
Coding theory › source coding › quantization
vector quantization		 0.011993
Uniform and piecewise uniform lattice vector quantization for memoryless Gaussian and Laplacian sources · IEEE Trans. Inf. Theory 1993
Image and video coding › transform coding
DCT coefficient coding		 0.011995
Image coding with uniform and piecewise-uniform vector quantizers · IEEE Trans. Image Process. 1995
Image and video coding
transform coding		 0.011995
Image coding with uniform and piecewise-uniform vector quantizers · IEEE Trans. Image Process. 1995

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

piecewise-linear companding · 0.0LBG training · 0.0compandor design · 0.0analytical truncation and scaling · 0.0
YearPublicationVenuePosition
2018 Block-shape adaptive inter prediction candidate list in Versatile Video Coding
abstract
Recently, Joint Video Experts Team (JVET) has started the standardization of a new video coding named as Versatile Video Coding (VVC) with the aim of completing by 2020. In HEVC and VVC, each candidate list of Merge/AMVP (Advanced Motion Vector Prediction) is constructed from the motion information of spatial/temporal neighboring blocks to enhance the performance of inter predictive coding by utilizing available motion information. In this paper, we propose a method to derive candidate lists of Merge/AMVP with more reliable motion information having high correlation by considering the block shape of the current Coding Unit (CU). Experiment results show the performance of the proposed method in the reference SW codec of VVC named as VVC Test Model (VTM).
Jihoon Do, Dohyeon Park, Jae-Gon Kim, Dae-Gwon Jeong
 TENCON4
1995 Image coding with uniform and piecewise-uniform vector quantizers
abstract
New lattice vector quantizer design procedures for nonuniform sources that yield excellent performance while retaining the structure required for fast quantization are described. Analytical methods for truncating and scaling lattices to be used in vector quantization are given, and an analytical technique for piecewise-linear multidimensional companding is presented. The uniform and piecewise-uniform lattice vector quantizers are then used to quantize the discrete cosine transform coefficients of images, and their objective and subjective performance and complexity are contrasted with other lattice vector quantizers and with LBG training-mode designs.
Dae-Gwon Jeong, Jerry D. Gibson
 IEEE Trans. Image Process.1
1993 Uniform and piecewise uniform lattice vector quantization for memoryless Gaussian and Laplacian sources
abstract
Lattice vector quantizer design procedures for nonuniform sources are presented. The procedures yield lattice vector quantizers with excellent performance and retaining the structure required for fast quantization. Analytical methods for truncating and scaling lattices to be used in vector quantizations are given, and their utility is demonstrated for independent and identically distributed (i.i.d.) Gaussian and Laplacian sources. An analytical technique for piecewise linear multidimensional compandor designs is evaluated for i.i.d. Gaussian and Laplacian sources by comparing its performance to that of the other vector quantizers.>
Dae-Gwon Jeong, Jerry D. Gibson
 IEEE Trans. Inf. Theory1
1989 Lattice vector quantization for image coding
abstract
The authors investigate the application of several lattice vector quantizers, namely D/sub N/ for N>
Dae-Gwon Jeong, Jerry D. Gibson
 ICASSP1