联合彩色信息的多视点深度视频视差矢量预测  

Texture assisted disparity vector prediction for multiview depth video coding

作　　者：胡春悦[1] 

机构地区：[1]天津大学电子信息工程学院,天津300072

出　　处：《信息技术》2015年第10期113-116,共4页Information Technology

摘　　要：多视点加深度(MVD)格式可以利用虚拟视点绘制技术生成任意视点的视频,能高效地向观看者提供立体感知。由于MVD中的深度视频与对应的彩色视频采集于同一场景,具有高度的相关性。因此,深度视频可以利用已编码的彩色信息辅助编码。提出一种联合彩色信息的多视点深度视频视差矢量预测方法。该方法首先获得当前编码深度块对应位置的彩色块,提取彩色块预测得到的视差矢量作为深度块的一个候选视差矢量。然后,利用深度块信息计算得到另一个候选视差矢量。最后,对两个候选视差矢量通过计算下采样均方差,选择更精确的一个作为当前深度块的视差矢量预测值。实验结果表明,所提出的方法性能优于3D-HEVC编码平台HTM。Multiview plus depth（ MVD） format can archive arbitrary viewpoint by using virtual view synthesis technique which provides 3D perception efficiently. As depth video and corresponding texture video are synchronously acquired from the same scene in MVD format,they are highly interrelated. Thus,depth video can be compressed using the coded texture information. In this paper,a texture assisted disparity vector prediction method for multiview depth video coding is proposed. First,the co-located texture block for current depth block is located and the disparity vector of the block is derived as a candidate of current depth block. Then, another disparity vector candidate is obtained with depth information. These two disparity vectors are compared by calculating down-sampling mean square deviation,and a more accurate one is selected as the disparity prediction of current depth block. The experimental results show that the proposed method can achieve higher performance compared with HTM encoder.

关 键 词：深度视频编码 3D-HEVC 视差矢量 视点间预测 

分 类 号：TN919.81[电子电信—通信与信息系统]