DocumentCode :
3561125
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
Volume :
22
Issue :
8
fYear :
2012
Firstpage :
1236
Lastpage :
1245
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;
fLanguage :
English
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher :
ieee
Conference_Location :
5/7/2012 12:00:00 AM
ISSN :
1051-8215
Type :
jour
DOI :
10.1109/TCSVT.2012.2198132
Filename :
6196212
Link To Document :
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