Name
Abstract | ||
|---|---|---|
Intra prediction in HEVC is much more complex compared to the one in H.264 because of the more diversifications of the block sizes and prediction modes. The state-of-the-art researches for its parallelization only focus on block-level methods, which only take very limited advantage of GPUs. It is still a big challenge to implement fine-grained parallelism on GPU in consideration of the HEVC branch instructions and the different prediction formulae. We present a novel pixel-level parallelism method for the intra prediction of HEVC based on GPU combined with mode-level parallelism. By unifying not only the prediction formulae between angular mode and planar mode but also a predictor array, an algorithm based on look-up table is proposed to greatly reduce branches and improve prediction efficiency. With the help of look-up table algorithm, each pixel in a block can obtain the offset of corresponding reference pixels and find the value in the unifying predictor array at the same time which makes it possible to predict all pixels in parallel regardless of their relative positions in the block. The experimental results show that the proposed algorithm outperforms previous work and can reduce encoding time effectively. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICPADS.2016.104 | 2016 IEEE 22ND INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS) |
Keywords | Field | DocType |
HEVC, intra prediction, GPU, fine-grained parallelism, look-up table | Lookup table,Computer science,Parallel computing,Real-time computing,Planar,Pixel,Offset (computer science),Encoding (memory) | Conference |
ISSN | Citations | PageRank |
1521-9097 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenbin Jiang | 1 | 355 | 36.55 |
| Ye Chi | 2 | 6 | 1.83 |
| Hai Jin | 3 | 6544 | 644.63 |
| Xiaofei Liao | 4 | 1145 | 120.57 |
| Yangsong Zhang | 5 | 0 | 0.34 |
| Geyan Ye | 6 | 0 | 0.68 |