基于显著性信息和视点合成预测的3D-HEVC编码方法

余芳, 安平, 严徐乐

doi:10.12066/j.issn.1007-2861.1962

上海大学学报(自然科学版) >

2019 , Vol. 25 >Issue 5: 679 - 691

DOI: https://doi.org/10.12066/j.issn.1007-2861.1962

研究论文

基于显著性信息和视点合成预测的3D-HEVC编码方法

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上海大学新型显示技术及应用集成教育部重点实验室,上海 200444

收稿日期: 2017-01-12

网络出版日期: 2019-10-31

基金资助

国家自然科学基金资助项目(U1301257);国家自然科学基金资助项目(61571285)

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Video coding for 3D-HEVC based on saliency information and view synthesis prediction

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Key Laboratory of Advanced Display and System Applications of Ministry of Education, Shanghai University,Shanghai 200444, China

Received date: 2017-01-12

Online published: 2019-10-31

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摘要

传统的视频编码标准大多着重从减少信息冗余来提高率失真性能, 而忽视了人类视觉系统(human visual system, HVS)多样性对视频编码的影响. 针对目前先进的3D高效率视频编码(high efficiency video coding, HEVC)技术, 提出了一种融合人眼视觉特性的编码方法. 首先建立3D显著性模型, 根据显著性信息进行分区域编码; 然后对原有的视点合成预测算法进行改进, 避免深度块的边界效应; 最后绘制生成新视点的视频. 实验结果证明, 该方法在保证主观质量基本不变的情况下, BD-rate可下降10%左右, 绘制生成的新视点峰值信噪比(peak signal to noise ratio, PSNR)可提高0.1 dB左右, 能有效提高编码效率.

关键词： 3D-HEVC; 显著性信息; 视点合成预测; 绘制

本文引用格式

余芳, 安平, 严徐乐 . 基于显著性信息和视点合成预测的3D-HEVC编码方法[J]. 上海大学学报(自然科学版), 2019 , 25(5) : 679 -691 . DOI: 10.12066/j.issn.1007-2861.1962

Abstract

To improve rate distortion performance, all standards of video coding emphasize reduction of information redundancy. However influences of human visual system (HVS) perception is often ignored. This paper proposes a video coding method for the latest standard 3D-high efficiency video coding (HEVC) based on human visual features. In this method, a 3D saliency model is first constructed. Different regions are coded according to their saliency information. The original view synthesis prediction (VSP) algorithm is improved to avoid boundary effects between depth blocks. The compressed video with new view-points is then generated using a proper rendering tool. Experimental results show that the proposed method can reduce the BD-rate by as much as 10% while maintaining the subjective quality. Peak signal to noise ratio (PSNR) of the obtained video is raised by 0.1 dB thus improving coding efficiency.

Key words： 3D-high efficiency video coding (HEVC); saliency information; view synthesis prediction; rendering

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