Title :
Single-Pass Rate Control With Texture and Non-Texture Rate-Distortion Models
Author :
Tan, Yih Han ; Yeo, Chuohao ; Li, Zhengguo
Author_Institution :
Inst. for Infocomm Res., Agency for Sci., Technol., & Res., Singapore, Singapore
Abstract :
One of the challenges in video rate control lies in determining a quantization parameter (Qp) that will be used for both the rate-distortion (R-D) optimization process and the quantization of transform coefficients. In this paper, we attempt to achieve effective rate control with a different approach. By modeling the relationships of distortion, texture bits, non-texture bits, and Qp, we derive the Qp required for both R-D optimization and quantization through Lagrangian optimization. From experiments with several video sequences, we found that our rate control scheme is capable of effective rate control with only a few model updates during encoding. The proposed rate control scheme adapts quickly to the characteristics of the source data and is particularly effective at controlling the rate of videos with high and unpredictable motion content.
Keywords :
channel allocation; image coding; image sequences; optimisation; video signal processing; Lagrangian optimization; R-D optimization; encoding; nontexture rate-distortion models; quantization parameter; single-pass rate control; video rate control; video sequences; Computational modeling; Data models; Encoding; Optimization; Predictive models; Quantization; Vectors; H.264; optimal bit allocation; rate and distortion models; video rate control;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
Conference_Location :
5/7/2012 12:00:00 AM
DOI :
10.1109/TCSVT.2012.2198132