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应用科学学报

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采用相关性分析的视点可分级编码

严涛 1; 安平1,2; 沈礼权1,2; 张兆杨1,2; 王贺 1   

  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:2008-08-25 修回日期:2008-10-31 出版日期:2009-01-25 发布日期:2009-01-25
  • 通信作者: 严涛

Multi-view Video Coding with View Scalability Based on Correlation Analysis

YAN Tao 1; AN Ping 1,2; SHEN Li-quan 1,2; ZHANG Zhao-yang 1,2; WANG He 1
  

  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:2008-08-25 Revised:2008-10-31 Online:2009-01-25 Published:2009-01-25
  • Contact: YAN Tao 1

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2202

被引次数

15

摘要： 为了满足不同用户端需求，在多视点视频编码（multi-view coding, MVC）中融入视点可分级编码. 根据多视点视频序列的相关性确定基本视点以及各个增强层视点，并给出了合理的视点间预测的视点可分级视频编码. 实验结果表明, 所提出的多视点视频编码方法除支持视点可分级外，还提高了信噪比以及随机访问性能.

关键词: 多视点视频编码, 视点可分级, 相关性分析, 随机访问

Abstract: To display video on a multitude of different terminals, a multi-view coding scheme with view scalability (SMVC) is proposed. Based on a correlation analysis, all views are divided into two groups: base view and enhancement
views. The proposed SMVC adjusts characteristics of various multi-view videos. Experimental results show that the scheme can improve coding efficiency and random access capability.

Key words: multi-view video coding (MVC), view scalability, correlation analysis, random access

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