Abstract | ||
---|---|---|
High Efficiency Video Coding (HEVC) INTRA coding improves compression efficiency by adopting advanced coding technologies, such as multi-level quad-tree block partitioning and up to 35-mode INTRA prediction. However, it significantly increases the coding complexity, memory access, and power consumption, which goes against its widely applications, especially for ultra-high definition and/or mobile ... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TCSVT.2017.2747659 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
Encoding,Complexity theory,Prediction algorithms,Video coding,Electronic mail,Correlation,Support vector machines | Binary classification,Computer science,Coding (social sciences),Artificial intelligence,Context-adaptive binary arithmetic coding,Data-driven,Pattern recognition,Coding tree unit,Support vector machine,Algorithm,Reduction (complexity),Machine learning,Encoding (memory) | Journal |
Volume | Issue | ISSN |
28 | 11 | 1051-8215 |
Citations | PageRank | References |
6 | 0.59 | 6 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yun Zhang | 1 | 292 | 27.59 |
Zhaoqing Pan | 2 | 345 | 17.25 |
Na Li | 3 | 8 | 1.28 |
Xu Wang | 4 | 103 | 15.76 |
Gangyi Jiang | 5 | 865 | 105.98 |
Sam Kwong | 6 | 4590 | 315.78 |