Beyond Bjontegaard: Limits of Video Compression Performance Comparisons

Herglotz C, Kränzler M, Mons R, Kaup A (2022)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2022

Event location: Bordeaux FR

DOI: 10.1109/ICIP46576.2022.9897912

Open Access Link: https://arxiv.org/abs/2202.12565

Abstract

For 20 years, the gold standard to evaluate the performance of video codecs is to calculate average differences between rate distortion curves, also called the "Bjøntegaard Delta". With the help of this tool, the compression performance of codecs can be compared. In the past years, we could observe that the calculus was also deployed for other metrics than bitrate and distortion in terms of peak signal-to-noise ratio, for example other quality metrics such as video multi-method assessment fusion or hardware-dependent metrics such as the decoding energy. However, it is unclear whether the Bjøntegaard Delta is a valid way to evaluate these metrics. To this end, this paper reviews several interpolation methods and evaluates their accuracy using different performance metrics. As a result, we propose to use a novel approach based on Akima interpolation, which returns the most accurate results for a large variety of performance metrics. The approximation accuracy of this new method is determined to be below a bound of 1.5%

Authors with CRIS profile

Christian Herglotz Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Matthias Kränzler Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Herglotz, C., Kränzler, M., Mons, R., & Kaup, A. (2022). Beyond Bjontegaard: Limits of Video Compression Performance Comparisons. In Proceedings of the IEEE International Conference on Image Processing. Bordeaux, FR.

MLA:

Herglotz, Christian, et al. "Beyond Bjontegaard: Limits of Video Compression Performance Comparisons." Proceedings of the IEEE International Conference on Image Processing, Bordeaux 2022.

BibTeX: Download