首页> 美国卫生研究院文献>Springer Open Choice >Multiview video plus depth transmission via virtual-view-assisted complementary down/upsampling
【2h】

Multiview video plus depth transmission via virtual-view-assisted complementary down/upsampling

机译:多视图视频以及通过虚拟视图辅助的互补下/上采样进行深度传输

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

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.
机译: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。然而,就计算复杂度和传输带宽而言,其要求比常规2D视频更高。为了减轻这些限制,一些工作提出了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。在编码器侧,按照隔行扫描和互补方式对两个相邻视图的行进行降采样,而在解码器侧,通过将虚拟视图像素与来自互补降采样视图的方向插值像素融合,来恢复丢弃的像素。而且,被丢弃的像素周围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,该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。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号