On Interpolation of Subjective Rate-Distortion Curves for Video Coder Comparison

Brand F, Herglotz C, Kaup A (2023)

Publication Type: Conference contribution

Publication year: 2023

Publisher: IEEE

Conference Proceedings Title: 2023 15th International Conference on Quality of Multimedia Experience (QoMEX)

Event location: Ghent BE

DOI: 10.1109/QoMEX58391.2023.10178656

Abstract

When comparing two video coders, in order to obtain meaningful and unambiguous results, it is necessary to interpolate the rate-distortion curves. Typical methods like the BjØntegaard delta rate use piece-wise cubic interpolation for that purpose. This works well for the unbounded quality metric PSNR. For fitting the curve of saturating quality metrics, which are common when measuring subjective or perceptual quality, the use of a logistic fitting function was proposed with SCENIC earlier. However, the interpolation accuracy has not been validated. In this paper, we compare different methods for interpolating rate-distortion curves of subjective metrics. We come to the conclusion that SCENIC is in fact better than piece-wise cubic interpolation for four supporting points. With more supporting points, however it is restricted by the number of free parameters, and piece-wise cubic interpolation should be used. We furthermore show that logarithmic rescaling has a small benefit for the interpolation accuracy of MOS values.

Authors with CRIS profile

Fabian Brand Lehrstuhl für Multimediakommunikation und Signalverarbeitung Christian Herglotz Lehrstuhl für Multimediakommunikation und Signalverarbeitung Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung

How to cite

APA:

Brand, F., Herglotz, C., & Kaup, A. (2023). On Interpolation of Subjective Rate-Distortion Curves for Video Coder Comparison. In 2023 15th International Conference on Quality of Multimedia Experience (QoMEX). Ghent, BE: IEEE.

MLA:

Brand, Fabian, Christian Herglotz, and André Kaup. "On Interpolation of Subjective Rate-Distortion Curves for Video Coder Comparison." Proceedings of the 2023 15th International Conference on Quality of Multimedia Experience, Ghent IEEE, 2023.

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