• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of visual communication & image representation >Depth perceptual region-of-interest based multiview video coding
【24h】

Depth perceptual region-of-interest based multiview video coding

机译：基于深度感知兴趣区域的多视图视频编码

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

MultiView Video (MW) has attracted considerable attention recently since it is capable of providing users with three-dimensional perception and interactive functionalities. However, these MW data require large mount of storage and bandwidth in network transmission. In this paper, we present a novel Depth Perceptual Region-Of-Interest (DP-ROI) based Multiview Video Coding (RMVC) scheme to extensively improve data compression efficiency by exploiting redundancies in depth perception. Firstly, we define DP-ROI according to the three-dimensional depth sensation of human visual system. Then, a framework of RMVC is developed to improve compression efficiency by properly segmenting the MW into different macroblock wise DP-ROIs and encoding them separately. And then, we propose three fast depth based DP-ROI extraction and tracking algorithms by jointly using motion, texture, depth as well as previous extracted DP-ROIs. Finally, on the basis of the extracted DP-ROI, bit allocation optimization model is proposed to allocate more bits on DP-ROIs for high image quality and fewer bits on background regions for high compression ratio. Experimental results show that the presented RMVC scheme achieves significant coding gains at high rate while comparing with original joint multiview video model. To be specific, up to 14.22-23.32% bit-rate are saved while 0.16-0.68 dB coding gains are achieved in DP-ROIs at the cost of the image quality degradation in background.
机译：由于MultiView Video（MW）能够为用户提供三维感知和交互功能，因此最近引起了相当大的关注。但是，这些MW数据需要大量存储空间和网络传输带宽。在本文中，我们提出了一种新颖的基于深度感知兴趣区域（DP-ROI）的多视图视频编码（RMVC）方案，以通过利用深度感知的冗余来广泛提高数据压缩效率。首先，我们根据人类视觉系统的三维深度感来定义DP-ROI。然后，开发了RMVC的框架，通过将MW适当地分割为不同的宏块式DP-ROI并分别进行编码，从而提高了压缩效率。然后，我们结合使用运动，纹理，深度以及先前提取的DP-ROI，提出了三种基于深度的快速DP-ROI提取和跟踪算法。最后，在提取的DP-ROI的基础上，提出了比特分配优化模型，以在DP-ROI上分配更多的比特以实现高图像质量，而在背景区域上分配更少的比特以实现高压缩率。实验结果表明，与原始联合多视点视频模型相比，所提出的RMVC方案在高速率下实现了显着的编码增益。具体而言，节省了高达14.22-23.32％的比特率，而在DP-ROI中实现了0.16-0.68 dB的编码增益，却以背景图像质量下降为代价。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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