The Open-Source Turing Codec: Toward Fast, Flexible, and Parallel HEVC Encoding

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Publisher: SMPTE — White Plains, NY, USA
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Mot. Imag. J
Volume: 126, No. 9, pp. 1–8
Abstract: The Turing codec is an open-source software codec compliant with the High Efficiency Video Coding (HEVC) standard and specifically designed for speed, flexibility, parallelization, and high coding efficiency. The Turing codec was designed starting from a completely novel backbone to comply with the Main and Main10 profiles of HEVC, and it has many desirable features for practical codecs such as very low memory consumption, advanced parallelization schemes, and fast encoding algorithms. This paper presents a technical description of the Turing codec as well as a comparison of its performance with other similar encoders. The codec is capable of cutting the encoding complexity by an average 87% with respect to the HEVC reference implementation for an average coding penalty of 11% higher rates in compression efficiency at the same peak-signal-noise-ratio level.
Publication Date: 2017-11-01
DOI: 10.5594/JMI.2017.2744578
ISSN: Print: 1545-0279 | Electronic: 2160-2492
Link: https://doi.org/10.5594/JMI.2017.2744578
Author(s): Saverio Blasi
Matteo Naccari
Rajitha Weerakkody
John Funnell
Marta Mrak
Keyword(s): Fast Coding Mode Decision Ultrahigh-definition (UHD) Video Compression, HEVC, Practical Video Codec Design, Video Compression
Copyright: © 2017 SMPTE

Bibliographic Reference(s)

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Saverio Blasi, Matteo Naccari, Rajitha Weerakkody, John Funnell, and Marta Mrak; The Open-Source Turing Codec: Toward Fast, Flexible, and Parallel HEVC Encoding, SMPTE Motion Imaging Journal ( Volume: 126, Issue: 9, 2017); SMPTE, 2017. Available at https://doi.org/10.5594/JMI.2017.2744578

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Saverio Blasi, Matteo Naccari, Rajitha Weerakkody, John Funnell, and Marta Mrak; The Open-Source Turing Codec: Toward Fast, Flexible, and Parallel HEVC Encoding, SMPTE Motion Imaging Journal ( Volume: 126, Issue: 9, 2017); SMPTE, 2017. Available at https://doi.org/10.5594/JMI.2017.2744578

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<span class="citation">Saverio Blasi, Matteo Naccari, Rajitha Weerakkody, John Funnell, and Marta Mrak; <cite>The Open-Source Turing Codec: Toward Fast, Flexible, and Parallel HEVC Encoding</cite>, SMPTE Motion Imaging Journal ( Volume: 126, Issue: 9, 2017); SMPTE, 2017. Available at <a href="https://doi.org/10.5594/JMI.2017.2744578" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2017.2744578</a></span>

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Saverio Blasi, Matteo Naccari, Rajitha Weerakkody, John Funnell, and Marta Mrak; The Open-Source Turing Codec: Toward Fast, Flexible, and Parallel HEVC Encoding, SMPTE Motion Imaging Journal ( Volume: 126, Issue: 9, 2017); SMPTE, 2017
doi: 10.5594/JMI.2017.2744578
url: https://doi.org/10.5594/JMI.2017.2744578

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<li>
Saverio Blasi, Matteo Naccari, Rajitha Weerakkody, John Funnell, and Marta Mrak; <cite id="bib-10-5594-jmi-2017-2744578">The Open-Source Turing Codec: Toward Fast, Flexible, and Parallel HEVC Encoding</cite>, SMPTE Motion Imaging Journal ( Volume: 126, Issue: 9, 2017); SMPTE, 2017
<span class="doi">10.5594/JMI.2017.2744578</span>
</li>