Multiview video plus depth is a popular 3D video format which can provide viewers a vivid 3D feeling. However, its requirements in terms of computational complexity and transmission bandwidth are more than that of conventional 2D video. To mitigate these limitations, some works have proposed to reduce the amount of transmitted data by adopting different resolutions for different views, and consequently, the transmitted video is called mixed resolution video. In order to further reduce the transmitted data and maintain good quality at the decoder side; in this paper, we propose a down/upsampling algorithm for 3D multiview video which systematically takes into account the video encoder and decoder. At the encoder side, the rows of the two adjacent views are downsampled following an interlacing and complementary fashion, whereas, at the decoder side, the discarded pixels are recovered by fusing the virtual view pixels with the directional interpolated pixels from the complementary downsampled views. Moreover, the patterns of the texture surrounding the discarded pixels are used to aid the data fusion, so as to enhance edges recovery. Meanwhile, with the assistance of virtual views, at the decoder side, the proposed approach can effectively recover the discarded high-frequency details. The experimental results demonstrate the superior performance of the proposed framework.

中文翻译：

---

多视图视频加上通过虚拟视图辅助的互补下/上采样的深度传输。

多视点视频加深度是一种流行的3D视频格式，可以为观众提供生动的3D感觉。但是，其在计算复杂度和传输带宽方面的要求比常规2D视频更高。为了减轻这些限制，一些工作已经提出通过针对不同的视图采用不同的分辨率来减少传输的数据量，因此，所传输的视频被称为混合分辨率视频。为了进一步减少传输的数据并在解码器侧保持良好的质量；在本文中，我们提出了一种3D多视图视频的下采样/上采样算法，该算法系统地考虑了视频编码器和解码器。在编码器端，按照隔行扫描和互补方式对两个相邻视图的行进行下采样，而在解码器端，通过将虚拟视图像素与来自互补下采样视图的方向插值像素融合，可以恢复丢弃的像素。此外，围绕丢弃像素的纹理图案被用于辅助数据融合，从而增强边缘恢复。同时，借助虚拟视图，在解码器侧，所提出的方法可以有效地恢复被丢弃的高频细节。实验结果证明了所提出框架的优越性能。借助于虚拟视图，在解码器侧，所提出的方法可以有效地恢复被丢弃的高频细节。实验结果证明了所提出框架的优越性能。借助于虚拟视图，在解码器侧，所提出的方法可以有效地恢复被丢弃的高频细节。实验结果证明了所提出框架的优越性能。