Efficient Content-Driven Encoding Towards a Target Video Quality

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Publisher: SMPTE
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Motion Imaging Jour.
Volume: 134, No. 1, pp. 14–20
Abstract: Video streaming workflows aim to maximize video quality while still maintaining smooth video streaming performance. A traditional fixed bitrate ladder consists of predetermined bitrate-resolution pairs optimized across a wide variety of content. Consequently, these pairs are rarely optimized for a given piece of content. Some encoding tools address this by encoding each piece of video content with many codec parameters and then evaluating the results using a video quality metric. However, this process requires significant computation, which increases cost and encoding time. In this paper we propose a novel content-driven workflow that predicts optimal encoding parameters to achieve a target perceptual video quality. We do so by designing a deep learning model that, based on the video input, predicts a Video Multimethod Assessment Fusion (VMAF) rate-distortion curve. Our results indicate that such a content-driven approach efficiently reduces the number of encoding attempts, minimizes necessary cloud computing resources, encodes most efficiently, and maximizes perceptual video quality.
Publication Date: 2025-01-01
DOI: 10.5594/JMI.2025/JCRG7496
ISSN: Print: 1545-0279 | Electronic: 2160-2492
Link: https://doi.org/10.5594/JMI.2025/JCRG7496
Author(s): Trisha Mittal
Subhadra Gopalakrishnan
Jaclyn Pytlarz
Robin Atkins
Benjamin Rolling
Gabe Russell
Keyword(s): Bitrate Ladder, Streaming, Rate-Quality Curves, Video Coding, Video Compression
Copyright: © 2025 SMPTE

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Trisha Mittal, Subhadra Gopalakrishnan, Jaclyn Pytlarz, Robin Atkins, Benjamin Rolling, and Gabe Russell; Efficient Content-Driven Encoding Towards a Target Video Quality, MIJ 2025, Volume 134, Number 1 (pp. 14 to 20); SMPTE, 2025. Available at https://doi.org/10.5594/JMI.2025/JCRG7496

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Trisha Mittal, Subhadra Gopalakrishnan, Jaclyn Pytlarz, Robin Atkins, Benjamin Rolling, and Gabe Russell; Efficient Content-Driven Encoding Towards a Target Video Quality, MIJ 2025, Volume 134, Number 1 (pp. 14 to 20); SMPTE, 2025. Available at https://doi.org/10.5594/JMI.2025/JCRG7496

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<span class="citation">Trisha Mittal, Subhadra Gopalakrishnan, Jaclyn Pytlarz, Robin Atkins, Benjamin Rolling, and Gabe Russell; <cite>Efficient Content-Driven Encoding Towards a Target Video Quality</cite>, MIJ 2025, Volume 134, Number 1 (pp. 14 to 20); SMPTE, 2025. Available at <a href="https://doi.org/10.5594/JMI.2025/JCRG7496" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2025/JCRG7496</a></span>

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Trisha Mittal, Subhadra Gopalakrishnan, Jaclyn Pytlarz, Robin Atkins, Benjamin Rolling, and Gabe Russell; Efficient Content-Driven Encoding Towards a Target Video Quality, MIJ 2025, Volume 134, Number 1 (pp. 14 to 20); SMPTE, 2025
doi: 10.5594/JMI.2025/JCRG7496
url: https://doi.org/10.5594/JMI.2025/JCRG7496

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Trisha Mittal, Subhadra Gopalakrishnan, Jaclyn Pytlarz, Robin Atkins, Benjamin Rolling, and Gabe Russell; <cite id="bib-10-5594-jmi-2025-jcrg7496">Efficient Content-Driven Encoding Towards a Target Video Quality</cite>, MIJ 2025, Volume 134, Number 1 (pp. 14 to 20); SMPTE, 2025
<span class="doi">10.5594/JMI.2025/JCRG7496</span>
</li>