A Low-Parametric Model for Bit-Rate Estimation of VVC Residual Coding

Brand F, Herglotz C, Kaup A (2022)

Publication Type: Conference contribution

Publication year: 2022

Journal

2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2022-May

Pages Range: 1860-1864

Conference Proceedings Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Event location: Online

ISBN: 9781665405409

DOI: 10.1109/ICASSP43922.2022.9747694

Abstract

There are many tasks within video compression which require fast bit rate estimation. As an example, rate-control algorithms are only feasible because it is possible to estimate the required bit rate without needing to encode the entire block. With residual coding technology becoming more and more sophisticated, the corresponding bit rate models require more advanced features. In this work, we propose a set of four features together with a linear model, which is able to estimate the rate of arbitrary residual blocks which were compressed using the VVC standard. Our method outperforms other methods which were used for the same task both in terms of mean absolute error and mean relative error. Our model deviates by less than 4 bit on average over a large dataset of natural images.

Authors with CRIS profile

Fabian Brand Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Christian Herglotz Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Brand, F., Herglotz, C., & Kaup, A. (2022). A Low-Parametric Model for Bit-Rate Estimation of VVC Residual Coding. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 1860-1864). Online, SG: Institute of Electrical and Electronics Engineers Inc..

MLA:

Brand, Fabian, Christian Herglotz, and André Kaup. "A Low-Parametric Model for Bit-Rate Estimation of VVC Residual Coding." Proceedings of the 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, Online Institute of Electrical and Electronics Engineers Inc., 2022. 1860-1864.

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