Beyond Bjontegaard: Limits of Video Compression Performance Comparisons
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Abstract (arXiv)
For 20 years, the gold standard to evaluate the performance of video codecs is to calculate average differences between ratedistortion curves, also called the "Bjontegaard 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 Bjontegaard Delta is a valid way to evaluate these metrics. To this end, this paper reviews several interpolation methods and evaluates their accuracy using different performancemetrics. 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%.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Feb 2022.
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Citing papers per year: 2024: 2; 2025: 1; 2026: 1.
4 papers.
- 2024Efficient Learning With Sine-Activated Low-rank Matricescited by 22
- 2024Adapting Learned Image Codecs to Screen Content via Adjustable Transformationscited by 0
- 2025SineLoRADelta: Sine-Activated Delta Compressioncited by 0
- 2026HyVIC: A Metric-Driven Spatio-Spectral Hyperspectral Image Compression Architecture Based on Variational Autoencoderscited by 0
- 2026HyVIC: A Metric-Driven Spatio-Spectral Hyperspectral Image Compression Architecture Based on Variational Autoencoders27 Mar 2026
- 2025SineLoRADelta: Sine-Activated Delta Compression28 May 2025
- 2024Efficient Learning With Sine-Activated Low-rank Matrices28 Mar 2024
- 2024Adapting Learned Image Codecs to Screen Content via Adjustable Transformations27 Feb 2024