Context-Based Compression is a data compression method that belongs to the class of predictive coding techniques, differing by exploiting local statistical dependencies and contextual information within the image to adaptively model and encode pixel values, thereby improving compression efficiency.
273
Publications
17.6K
Citations
628
Authors
255
Institutions
Publications per year
2017–2026
59
Parents
Publications
273
1–5 of 273
Authors
628
- NM
9
h-index
- XW
9
h-index
- DMDetlev Marpe
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany
6 publications · 1.3K citations
6
h-index
- AO
6
h-index
- MW
6
h-index
1–5 of 628
Institutions
255
Western University
London, Canada
12 h-index
13 publications
1.9K citations
Harbin Institute of Technology
Harbin, China
7 h-index
17 publications
424 citations
Hewlett-Packard (United States)
Palo Alto, United States
7 h-index
15 publications
7.2K citations
University of Southern California
Los Angeles, United States
7 h-index
11 publications
747 citations
University of Science and Technology of China
Hefei, China
7 h-index
23 publications
1K citations
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Berlin, Germany
6 h-index
22 publications
4.1K citations
McMaster University
Hamilton, Canada
5 h-index
9 publications
693 citations
Technical University of Denmark
Kongens Lyngby, Denmark
5 h-index
11 publications
196 citations
1–8 of 255
Venues
- IEEE Transactions on Image Processing
26 publications · 3.9K citations
21
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- IEEE Transactions on Circuits and Systems for Video Technology
23 publications · 2.7K citations
20
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- arXiv (Cornell University)
Repository · 9 publications · 518 citations
9
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- IEEE Signal Processing Letters
7 publications · 210 citations
7
h-index
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
7 publications · 147 citations
7
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1–5