.png){kind=icon}
返回
Fast depth map coding based on virtual view quality
.png){kind=icon}
PRE
AI
DOI：10.1016/j.image.2016.05.015.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Multi-view video plus depth (MVD) format is a three-dimensional (3D) video representation. The depth map in MVD provides the scene distance information and is used to synthesize the virtual view with texture image through Depth Image Based Rendering (DIBR) technique. In this paper, we first present a virtual view distortion estimation (VVDE) scheme to estimate the synthesized virtual view distortion induced by depth map compression. Then based on the synthesized virtual view distortion, we propose region based Quantization Parameter (QP) adjustment scheme to improve the perceived virtual view quality, fast VVDE scheme in depth map coding Rate Distortion Optimization (RDO) to improve the coding efficiency and fast Coding Unit (CU) partition scheme to reduce the depth map coding complexity. Experimental results demonstrate that the proposed algorithm can achieve 0.50 dB gain with 4737% coding time reduction. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Depth map
Virtual view distortion
Rate distortion optimization
Quadtree structure
3D-HEVC
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
S
IF:
2.7
论文数:
2.8K
被引数:
4.2K
机构
引用论文
.png){kind=icon}
分享收藏
Lagrangian Multiplier Based Joint Three-Layer Rate Control for H.264/AVC基于拉格朗日乘数的H.264/AVC三层联合码率控制
PREAI
分享收藏
查看更多内容