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

Abstract

There are many tasks within video compression which re-quire 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 en-tire block. With residual coding technology becoming more and more sophisticated, the corresponding bit rate models re-quire 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 out-performs 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.