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采用相关性分析的视点可分级编码 被引量:2

Multi-view Video Coding with View Scalability Based on Correlation Analysis
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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。 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.
出处 《应用科学学报》 CAS CSCD 北大核心 2009年第1期39-43,共5页 Journal of Applied Sciences
基金 国家自然科学基金(No.60832003 No.60672052) 上海市曙光计划基金(No.06SG43) 上海市经委产学研示范工程基金(No.07-040C)资助项目
关键词 多视点视频编码 视点可分级 相关性分析 随机访问 multi-view video coding (MVC), view scalability, correlation analysis, random access
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参考文献10

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二级参考文献16

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共引文献6

同被引文献26

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