...
首页> 外文期刊>Electronic Letters on Computer Vision and Image Analysis: ELCVIA >Edge-aware wedgelet estimation for depth maps compression
【24h】

Edge-aware wedgelet estimation for depth maps compression

机译:用于深度图压缩的边缘感知楔形波估计

获取原文
   

获取外文期刊封面封底 >>

       

摘要

In recent years, Multi-view Video plus Depth (MVD) compression has received much attention thanks to its relevance to free viewpoint applications needs. An efficient compression, that causes the least distortion without excessive rate and complexity increase, becomes a must particularly for depth maps. These latter can be compressed efficiently by the 3D extension of High Efficiency Video Coding (3D-HEVC), which has explored wedgelets. Such functions lead to significant Rate-Distortion tradeoffs. However, they require a very large computational complexity involved by the exhaustive search used for the estimation of the wedgelet subdivision line. In this paper, we propose a rapid localization of this latter using an edge detection approach. The experimental results show that the proposed approach allows an important gain in terms of encoding delay, while providing better depth maps and synthesized views quality compared to the exhaustive search approach.
机译:近年来,多视点视频加深度(MVD)压缩由于与自由视点应用程序需求相关而备受关注。尤其在深度图上,必须引起有效的压缩,而压缩不会造成太大的失真,而不会造成过多的速率和复杂性增加。后者可以通过探索楔形的高效视频编码(3D-HEVC)的3D扩展有效压缩。这种功能导致重大的速率失真折衷。但是,它们需要非常大的计算复杂性,而穷举搜索则用于估计楔形细分线。在本文中,我们建议使用边缘检测方法对此后者进行快速定位。实验结果表明,与穷举搜索方法相比,该方法在编码延迟方面具有重要意义,同时提供了更好的深度图和综合视图质量。

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