Residual Coding
Residual Coding is a source coding technique that belongs to the class of predictive coding methods, distinguished by its encoding of the difference between the original signal and its prediction to achieve efficient data compression.
305
Publications
10K
Citations
738
Authors
270
Institutions
Publications per year
2017–2026
66
Parents
305
Neural Inter-Frame Compression for Video Coding
Abdelaziz Djelouah, Joaquim Campos, Simone Schaub-Meyer et al. · 2019 · 184 citations
1–5 of 305
738
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany
15 publications · 737 citations
14
h-index
10
h-index
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany
9 publications · 383 citations
9
h-index
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany
9 publications · 340 citations
9
h-index
7
h-index
1–5 of 738
270

Peking University
Beijing, China
12 h-index
32 publications
699 citations

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Berlin, Germany
12 h-index
55 publications
2.6K citations
Georgia Institute of Technology
Atlanta, United States
9 h-index
21 publications
439 citations
Qualcomm (United States)
San Diego, United States
9 h-index
25 publications
1.8K citations
Tsinghua University
Beijing, China
8 h-index
21 publications
1.1K citations

Harbin Institute of Technology
Harbin, China
8 h-index
28 publications
662 citations
University of Southern California
Los Angeles, United States
7 h-index
12 publications
298 citations
Institute for Infocomm Research
Singapore, Singapore
7 h-index
23 publications
626 citations
1–8 of 270
29 publications · 1.5K citations
22
h-index
23 publications · 1K citations
19
h-index
10 publications · 223 citations
10
h-index
7 publications · 246 citations
7
h-index
8 publications · 228 citations
7
h-index
1–5