Bit rate estimation for H.264/AVC video encoding based on temporal and spatial activities
Christian Lottermann, Alexander Machado, Damien Schroeder, Peng Yang, Eckehard G. Steinbach · 2014
We present a novel bit rate model for H.264/AVC video encoding which is based on the quantization parameter, the frame rate as well as temporal and spatial activity measures. With the proposed model, it is possible to trade-off the frame rate versus the quantization parameter to achieve a target bit rate. Our model depends on video activity measures that can be easily calculated from the uncompressed video. In our experiments, the model achieves a Pearson correlation of 0.99 and a root-mean-square error of less than 5% with the measured bit rate values, as verified by statistical analysis.