Title :
Simple and efficient rate control for H.264/AVC
Author :
Xie, Zhengguang ; Liu, James
Author_Institution :
Nantong Univ., Nantong
fDate :
Nov. 28 2007-Dec. 1 2007
Abstract :
In order to get accurately the coding characteristics of current basic unit, a novel adaptive coding characteristic prediction scheme called texture-complexity estimation is proposed. Through adaptive linear texture-complexity and overhead prediction model as well as optimum bits allocation scheme, we can obtain current basic unit coding parameter such as texture-complexity, overhead bits count and texture bits budget, and then the quantization parameter can be directly calculated. Simulation results show that the H.264 encoder, using the proposed rate control algorithm, achieves a visual quality improvement up to 0.388 dB, meets better with target bit rates and produces more flat bit-rate curve than that using the H.264 previous rate control method (JVT-G012).
Keywords :
adaptive codes; computational complexity; image texture; video coding; H.264/AVC; adaptive coding characteristic prediction scheme; bits allocation scheme; coding characteristics; overhead prediction model; quantization parameter; rate control; texture-complexity estimation; visual quality improvement; Automatic voltage control; Bit rate; Discrete cosine transforms; Encoding; Laplace equations; Optimal control; Predictive models; Quadratic programming; Quantization; Signal processing algorithms; H.264/AVC; Optimum bits allocation; Overhead bits; Rate-control; Texture-Complexity;
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-1447-5
Electronic_ISBN :
978-1-4244-1447-5
DOI :
10.1109/ISPACS.2007.4446024