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应用科学学报 ›› 2009, Vol. 27 ›› Issue (5): 502-507.

• 信号与信息处理 • 上一篇    下一篇

面向多视点视频编码的宏块级码率控制

李振纲;安平;严涛;鲁锋;张兆杨   

  1. 1. 上海大学通信与信息工程学院，上海200072
    2. 新型显示技术及应用集成教育部重点实验室，上海200072
  • 收稿日期:2009-06-05 修回日期:2009-09-01 出版日期:2009-09-25 发布日期:2009-09-25
  • 通信作者: 安平，教授，博导，研究方向：视频信号处理及三维视觉，E-mail: anping@shu.edu.cn；张兆杨，教授，博导，研究方向：视频处理和多媒体通信，E-mail: zhyzhang@shu.edu.cn
  • 基金资助:
    国家自然科学基金(No.60832003, No.60672052)；上海市教委重点项目基金(No.09ZZ90)；上海市经委产学研示范工程基金(No.07-040C)资助项目

Macroblock Layer Rate Control in Multi-view Video Coding

  1. 1. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China
    2. Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai 200072, China
  • Received:2009-06-05 Revised:2009-09-01 Online:2009-09-25 Published:2009-09-25

PDF

1912

被引次数

25

摘要：

联合视频专家组针对多视点视频编码提出了JMVM参考模型，但该模型没有给出有效的码率控制方案. 该文提出一种多视点视频编码码率控制算法，分4 层进行比特分配和码率控制. 先根据相关性函数在视点间合理分配码率实现GOP(group of pictures)层的比特分配，然后根据分层B图像比特分配策略实现帧层的比特分配，最后根据拉普拉斯率失真模型实现宏块层的码率控制. 与JMVC 1.0相比，该算法能在保持图像质量的前提下进行精确的比特分配和码率控制.

关键词: 多视点视频编码, 码率控制, 分层B图像比特分配, 拉普拉斯率失真模型, 相关性函数

Abstract:

Joint video team (JVT) proposed joint multi-view video model (JMVM) for multi-view video coding (MVC). However, the model does not provide an efficient rate control scheme. In this paper, a new rate control algorithm for multi-view video coding is proposed, which consists of four levels for more accurate bits rate control. In a GOP level, it implements reasonable bit allocation among views based on correlation function. In the frame level, it performs bit allocation based on the hierarchical B-picture bit allocation method. In the MB level, rate control is activated to provide more accurate rate control based on the Laplacian rate-distortion model. Compared to JMVC 1.0 with a fixed quantization parameter, the proposed algorithm achieves better accurate rate control and higher image quality.

Key words: multi-view video coding, rate control, hierarchical B-picture bit allocation, Laplacian rate-distortion model, correlation function

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