Name
Title | ||
|---|---|---|
Fast Coding Unit Size Decision Based On Probabilistic Graphical Model In High Efficiency Video Coding Inter Prediction |
Abstract | ||
|---|---|---|
In this work, a high efficiency coding unit (CU) size decision algorithm is proposed for high efficiency video coding (HEVC) inter coding. The CU splitting or non-splitting is modeled as a binary classification problem based on probability graphical model (PGM). This method incorporates two sub-methods: CU size termination decision and CU size skip decision. This method focuses on the trade-off between encoding efficiency and encoding complexity, and it has a good performance. Particularly in the high resolution application, simulation results demonstrate that the proposed algorithm can reduce encoding time by 53.62%-57.54%, while the increased BD-rate are only 1.27%-1.65%, compared to the HEVC software model. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1587/transinf.2015EDL8237 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Keywords | Field | DocType |
HEVC, CU size, encoding complexity, probability graphical model | Coding tree unit,Pattern recognition,Binary classification,Computer science,Coding (social sciences),Software,Artificial intelligence,Probabilistic logic,Graphical model,Context-adaptive binary arithmetic coding,Encoding (memory) | Journal |
Volume | Issue | ISSN |
E99D | 11 | 1745-1361 |
Citations | PageRank | References |
4 | 0.40 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiantao Jiang | 1 | 50 | 8.24 |
| Tian Song | 2 | 36 | 8.93 |
| Wen Shi | 3 | 16 | 4.24 |
| Takafumi Katayama | 4 | 19 | 5.70 |
| Takashi Shimamoto | 5 | 51 | 9.88 |
| Lisheng Wang | 6 | 12 | 2.43 |