Efficient Coding of Depth Map by Exploiting Temporal Correlation

Shampa Shahriyar, M. Murshed, Mortuza Ali, M. Paul
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引用次数: 12

Abstract

With the growing demands for 3D and multi-view video content, efficient depth data coding becomes a vital issue in image and video coding area. In this paper, we propose a simple depth coding scheme using multiple prediction modes exploiting temporal correlation of depth map. Current depth coding techniques mostly depend on intra-coding mode that cannot get the advantage of temporal redundancy in the depth maps and higher spatial redundancy in inter-predicted depth residuals. Depth maps are characterized by smooth regions with sharp edges that play an important role in the view synthesis process. As depth maps are more sensitive to coding errors, use of transformation or approximation of edges by explicit edge modelling has impact on view synthesis quality. Moreover, lossy compression of depth map brings additional geometrical distortion to synthetic view. In this paper, we have demonstrated that encoding inter-coded depth block residuals with quantization at pixel domain is more efficient than the intra-coding techniques relying on explicit edge preservation. On standard 3D video sequences, the proposed depth coding has achieved superior image quality of synthesized views against the new 3D-HEVC standard for depth map bit-rate 0.25 bpp or higher.
利用时间相关性的深度图高效编码
随着人们对3D和多视点视频内容的需求日益增长,高效的深度数据编码成为图像和视频编码领域的关键问题。本文提出了一种利用深度图时间相关性的多种预测模式的简单深度编码方案。目前的深度编码技术主要依赖于内编码模式,无法充分利用深度图的时间冗余性和预测间深度残差的空间冗余性。深度图的特点是光滑的区域和锐利的边缘,在视图合成过程中起着重要的作用。由于深度图对编码错误更敏感,通过显式边缘建模来使用转换或近似边缘会影响视图合成质量。此外,深度图的有损压缩给合成视图带来了额外的几何畸变。在本文中,我们证明了在像素域量化编码间编码深度块残差比依赖显式边缘保存的内编码技术更有效。在标准3D视频序列上,相对于深度图比特率为0.25 bpp或更高的新3D- hevc标准,所提出的深度编码获得了较好的合成视图图像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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