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首页> 外文期刊>EURASIP journal on advances in signal processing >Motion Vector Sharing and Bitrate Allocation for 3D Video-Plus-Depth Coding
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Motion Vector Sharing and Bitrate Allocation for 3D Video-Plus-Depth Coding

机译:3D视频加深度编码的运动矢量共享和比特率分配

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The video-plus-depth data representation uses a regular texture video enriched with the so-called depth map, providing the depth distance for each pixel. The compression efficiency is usually higher for smooth, gray level data representing the depth map than for classical video texture. However, improvements of the coding efficiency are still possible, taking into account the fact that the video and the depth map sequences are strongly correlated. Classically, the correlation between the texture motion vectors and the depth map motion vectors is not exploited in the coding process. The aim of this paper is to reduce the amount of information for describing the motion of the texture video and of the depth map sequences by sharing one common motion vector field. Furthermore, in the literature, the bitrate control scheme generally fixes for the depth map sequence a percentage of 20% of the texture stream bitrate. However, this fixed percentage can affect the depth coding efficiency, and it should also depend on the content of each sequence. We propose a new bitrate allocation strategy between the texture and its associated per-pixel depth information. We provide comparative analysis to measure the quality of the resulting sequences.
机译:视频加深度数据表示使用富含所谓的深度图的常规纹理视频,为每个像素提供深度距离。对于代表深度图的平滑灰度数据,其压缩效率通常要比经典视频纹理的压缩效率高。但是,考虑到视频和深度图序列之间有很强的相关性,仍然可以提高编码效率。传统上,在编码过程中没有利用纹理运动矢量和深度图运动矢量之间的相关性。本文的目的是通过共享一个公共运动矢量场来减少用于描述纹理视频运动和深度图序列运动的信息量。此外,在文献中,比特率控制方案通常针对深度图序列固定纹理流比特率的20%的百分比。但是,此固定百分比会影响深度编码效率,并且还应取决于每个序列的内容。我们提出了一种在纹理及其关联的每像素深度信息之间的新比特率分配策略。我们提供比较分析以测量所得序列的质量。

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