Abstract
This paper introduces key parallelization strategies of our Kvazaar HEVC intra encoder for multicore processors. The schemes implemented in Kvazaar are 1) tiles; 2) Wavefront Parallel Processing (WPP); and 3) picture-level parallel processing. Kvazaar is the only practical open-source HEVC encoder that supports all these schemes. In addition, its rate-distortion-complexity characteristics are superior to other public implementations in all-intra (AI) coding. Our experiments with high-quality encoder presets show that a C implementation of Kvazaar is 19% faster than the corresponding implementation of x265 for the same coding efficiency with 8 threads and 38% faster with 16 threads. With the high-speed presets, Kvazaar improves coding efficiency by 4.5% while being twice as fast as x265. The high-speed preset of Kvazaar obtains almost the same coding efficiency as the high-quality preset of f265 while being 24 times faster when 16 threads are used.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE Workshop on Signal Processing Systems (SiPS) |
| Publisher | IEEE |
| ISBN (Print) | 978-1-4673-9604-2 |
| DOIs | |
| Publication status | Published - 2015 |
| Publication type | A4 Article in conference proceedings |
| Event | IEEE Workshop on Signal Processing Systems - Duration: 1 Jan 1900 → … |
Conference
| Conference | IEEE Workshop on Signal Processing Systems |
|---|---|
| Period | 1/01/00 → … |
Publication forum classification
- Publication forum level 1
Fingerprint
Dive into the research topics of 'Parallelization of Kvazaar HEVC Intra Encoder for Multi-core Processors'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver