Depth Map Down-Sampling and Coding Based on Synthesized View Distortion

Depth Map Down-Sampling and Coding Based on Synthesized View Distortion
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基于合成视图畸变的深度图下采样和编码

DOI:
10.1109/tmm.2016.2594145
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发表时间:
2016-07
影响因子:
7.3
通讯作者:
Bai Huihui
Bai Huihui
中科院分区:
计算机科学1区
文献类型:
--
作者:
Yao Chao;Xiao Jimin;Tillo Tammam;Zhao Yao;Lin Chunyu;Bai Huihui

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在本文中,我们提出了一个深度图下采样和编码方案,最大限度地减少视图合成失真。此外,导出了用于最优深度图下采样问题的解决方案,该解决方案通过利用深度图和相关联的纹理信息沿着与要在解码器侧中使用的上采样方法来最小化虚拟视图中的深度引起的失真。此外,为了提高压缩性能,合成视图失真,这是通过仿真插值和虚拟视图合成过程中评估,被用于优化目标函数的编码模式选择中的视频编码器。实验结果表明,本文提出的深度图下采样和编码方法都具有良好的性能,与3D-AVC相比,平均比特率降低了2.62%。
In this paper, we propose a depth map down-sampling and coding scheme that minimizes the view synthesis distortion. Moreover, a solution for the optimal depth map down-sampling problem that minimizes the depth-caused distortion in the virtual view by exploiting the depth map and the associated texture information along with the up-sampling method to be used in the decoder side is derived. Furthermore, to enhance compression performance, the synthesized view distortion, which is evaluated by emulating the interpolation and the virtual view synthesis process, is used in the optimization objective function for coding mode selection in the video encoder. Experimental results show that both the proposed depth map down-sampling and encoding methods lead to good performance, and the average bit rate reduction is 2.62% compared with 3D-AVC.
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