Parallelization and performance evaluation of open-source HEVC codecs
| Autor: | Pedro Cuenca, David García-Lucas, Gabriel Cebrián-Márquez |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
020203 distributed computing
Computer science Digital video Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Parallel computing Theoretical Computer Science Open source Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Codec 020201 artificial intelligence & image processing Encoder Software Context-adaptive binary arithmetic coding Information Systems |
| Zdroj: | The Journal of Supercomputing. 73:495-513 |
| ISSN: | 1573-0484 0920-8542 |
| DOI: | 10.1007/s11227-016-1895-4 |
| Popis: | High Efficiency Video Coding (HEVC) was developed by the Joint Collaborative Team on Video Coding (JCT-VC) to replace the current H.264/Advanced Video Coding (AVC) standard, which has dominated digital video services in all segments of the domestic and professional markets for over 10 years. In terms of rate-distortion, HEVC roughly doubles the compression performance of H.264/AVC, but at a cost of extremely high computational complexities during encoding. Parallelizing HEVC encoding is an efficient way of fulfilling this computational requirement. Since its standardization, several open-source HEVC video codecs have been developed with parallel encoding capabilities. This paper presents a rate-distortion/complexity analysis of the open-source HEVC codecs using objective measures of assessment to analyze their real parallelization capabilities. Experimental results show that DivX265 and x265 obtain the best parallel performance on average for the high-quality encoding scenario. In the case of the high-speed encoding scenario, x265 obtains the best parallel performance. In both scenarios, the coding efficiency of the encoders remains virtually unaffected regardless of the amount of parallelism. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink