面向高清/超高清的感知3D视频稀疏编码理论与技术研究

项目名称： 面向高清/超高清的感知3D视频稀疏编码理论与技术研究

项目编号： No.61301113

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 王永芳

作者单位： 上海大学

项目金额： 24万元

中文摘要： 高清/超高清3D视频是数字视频和终端显示技术发展的新方向，而高清/超高清3D视频实时应用对高效的3D视频编码提出新的挑战。JCT-3V正以HEVC为基础扩展制定主要针对高清/超高清的下一代3D视频标准-3D-HEVC，但3D-HEVC复杂度高很难在实际中应用。为此，本项目围绕面向高清/超高清3D视频编码展开，针对3D-HEVC的复杂度高的的现状，通过联合考虑人眼的视觉特性与视频信号的稀疏性特征，探索一种面向高清/超高清的感知3D视频稀疏编码方法。该方法首先提出一种感知的CS模型，以适应3D视频编码特点并增强编码的有效性。然后基于该模型，重点研究基于感知CS模型的3D视频预测编码和基于感知CS模型的3D视频率失真优化的方法，以获得高效率、低复杂度的3D视频编码新算法。预期本项目可取得具有自主知识产权核心技术的研究成果，可促进数学理论和工程应用的结合，可用于自由视点电视、移动3D视频等领域。

中文关键词： 高清3D视频编码；视觉感知；恰可觉察失真；压缩感知编码；低复杂度高效视频编码

英文摘要： High definition (HD )/ Ultra HD 3D video is the new direction of the digital video and terminal display technology development, but HD / Ultra HD 3D video real-time applications present new challenges for high efficient 3D video coding. The Joint Collaborative Team on 3D Video Coding (JCT-3V) works on the next-generation 3D video standard based on the extension to high efficiency video coding (HEVC) focusing on HD / ultra HD 3D video,but it is difficult to apply in practice for 3D-HEVC with high complexity. To this end, the project expands around for HD / HD 3D video coding, in view of the existing situation of high coding complexity of 3D-HEVC , by jointly considering the characteristics of the human eye vision and video signal sparse,and exploits a perceptual 3D video sparse coding method oriented HD / Ultra HD. The method first proposed a perceptual compressed sensing (CS) model, in order to adapt to the characteristics of the 3D video coding and enhance the effectiveness of the encoding. Then, based on the model, we mainly study 3D video predictive coding method and 3D video rate-distortion optimization method based on perceptual CS model. We expected to achieve the high efficiency, low complexity 3D video coding algorithm. We expected that the project can be obtained with independent intellectual property

英文关键词： HD 3D video coding；Visual perception；just noticeable distortion；compressed sensing；low complexity high-efficiency video coding