Name
Title | ||
|---|---|---|
Fast Coding Quad-Tree Decisions Using Prediction Residuals Statistics for High Efficiency Video Coding (HEVC). |
Abstract | ||
|---|---|---|
High Efficiency Video Coding (HEVC) is the latest video coding standard to meet market demands for real-time high quality video codecs. As compared to its predecessor H.264/AVC, HEVC can achieve significant compression gains but with higher encoding complexity. Therefore, for real-time applications, significant encoding time reduction is still necessary. In the HEVC test model, the large number of coding quad-tree decisions to be tested during rate-distortion optimization would result in high encoding time. Hence, we propose a method to reduce the high encoding time by pruning the coding quad-trees using prediction residuals statistics. Experimental results from HM16.3-based implementations show that the proposed residual-based pruning method can reduce encoding time by an average of about 44% with an average of about 1.0% coding loss. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TBC.2015.2505406 | TBC |
Keywords | Field | DocType |
Encoding,Transforms,Video coding,Real-time systems,Standards,Streaming media,Benchmark testing | Tunstall coding,Coding tree unit,Computer science,Context-adaptive variable-length coding,Multiview Video Coding,Coding (social sciences),Statistics,Codec,Scalable Video Coding,Context-adaptive binary arithmetic coding | Journal |
Volume | Issue | ISSN |
62 | 1 | 0018-9316 |
Citations | PageRank | References |
10 | 0.50 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Li Tan | 1 | 76 | 7.42 |
| Chi Chung Ko | 2 | 753 | 81.90 |
| Susanto Rahardja | 3 | 652 | 102.05 |