Bit rate estimation for H.264/AVC video encoding based on temporal and spatial activities

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.

[1]  Eric R. Ziegel,et al.  Generalized Linear Models , 2002, Technometrics.

[2]  Eckehard G. Steinbach,et al.  A novel full-reference video quality metric and its application to wireless video transmission , 2011, 2011 18th IEEE International Conference on Image Processing.

[3]  Tihao Chiang,et al.  An overview of the encoding tools in the MPEG-4 reference software , 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

[4]  Luca De Cicco,et al.  Feedback control for adaptive live video streaming , 2011, MMSys.

[5]  Zhan Ma,et al.  Perceptual Quality Assessment of Video Considering Both Frame Rate and Quantization Artifacts , 2011, IEEE Transactions on Circuits and Systems for Video Technology.

[6]  Zhengguo Li,et al.  A Novel Rate Control Scheme for Low Delay Video Communication of H.264/AVC Standard , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[7]  Yao Wang,et al.  Modeling rate and perceptual quality of scalable video as functions of quantization and frame rate and its application in scalable video adaptation , 2009, 2009 17th International Packet Video Workshop.

[8]  Thomas Stockhammer,et al.  Dynamic adaptive streaming over HTTP --: standards and design principles , 2011, MMSys.

[9]  Zhan Ma,et al.  Modeling of Rate and Perceptual Quality of Compressed Video as Functions of Frame Rate and Quantization Stepsize and Its Applications , 2012, IEEE Transactions on Circuits and Systems for Video Technology.