@inproceedings{1fbf2fc112d84e4cbe6325847e5bf865,
title = "Bit rate estimation for H.264/AVC video encoding based on temporal and spatial activities",
abstract = "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.",
keywords = "H.264/AVC, Rate model, quantization parameter, temporal resolution",
author = "Christian Lottermann and Alexander Machado and Damien Schroeder and Yang Peng and Eckehard Steinbach",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.",
year = "2014",
month = jan,
day = "28",
doi = "10.1109/ICIP.2014.7025646",
language = "English",
series = "2014 IEEE International Conference on Image Processing, ICIP 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3195--3199",
booktitle = "2014 IEEE International Conference on Image Processing, ICIP 2014",
}