Modeling the bit rate of H.264/AVC video encoding as a function of quantization parameter, frame rate and GoP characteristics

Author

Lottermann, Christian ; Steinbach, Eckehard

Author_Institution

BMW Group, Munich, Germany

fYear

2014

fDate

14-18 July 2014

Firstpage

1

Lastpage

6

Abstract

We present a novel analytical bit rate model for H.264/AVC video encoding which is based on the quantization parameter, the frame rate, the group-of-pictures length, the group-of-pictures structure and content-dependent parameters. The content-dependent parameters are described as a function of two standard video activity measures (temporal and spatial activity) which can easily be determined from the uncompressed video. Our bit rate model shows a Pearson correlation of more than 0.97 and a root-mean-square error of less than 2% as determined by statistical analysis.

Keywords

mean square error methods; statistical analysis; video coding; GOP characteristics; H.264-AVC video encoding; Pearson correlation; analytical bit rate model; content-dependent parameter; frame rate; group-of-picture length; group-of-picture structure; quantization parameter function; root-mean-square error; statistical analysis; video activity measure; Adaptation models; Analytical models; Bit rate; Estimation; Quantization (signal); Streaming media; Training; H.264/AVC; Rate model; group-of-pictures; quantization parameter; temporal resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on

Conference_Location

Chengdu

ISSN

1945-7871

Type

conf

DOI

10.1109/ICMEW.2014.6890567

Filename

6890567