Adaptive Initial Quantization Parameter Selection for H.264/SVC Rate Control

摘要：

Initial quantization parameter (QP) selection is critical for the overall performance of video rate control. In this paper, we propose an adaptive initial QP selection algorithm for H.264/AVC Scalable Extension (SVC) rate control. The proposed algorithm introduces a number of efficient methods, including a coding complexity measure for intraframes, and a rate~complexity-quantization (R-C-Q) model to accurately determine initial QPs for H.264/SVC rate control. Our experimental results demonstrate that, the proposed initial QP selection algorithm outperforms the one of JVT-W043 rate control scheme, adopted in the H.264/SVC reference software, by providing more accurate initial QP prediction, reducing buffer overflow/undertow, depressing quality fluctuations, and finally, improves the overall coding quality by up to 0.48dB.

关键词： Rate control Scalable video coding H.264/SVC

作者: Jin Yang Yu Sun Christopher S.Kline Shixin Sun

作者单位: School of Computer Science and Engineering University of Electronic Science and Technology of China Dept.of Computer Science Uni.of Central Arkansas 201 Donaghey Ave., Conway, AR 72034, USA

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 723-726

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）