arrow
返回

View synthesis prediction for multiview video coding

delete2009-01-01
delete87
PRE
AI
S
Sehoon Yea *
A
Anthony Vetro
DOI:10.1016/j.image.2008.10.007delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
We propose a rate-distortion-optimized framework that incorporates view synthesis for improved prediction in multiview video coding. In the proposed scheme, auxiliary information, including depth data, is encoded and used at the decoder to generate the view synthesis prediction data. The proposed method employs optimal mode decision including view synthesis prediction, and sub-pixel reference matching to improve prediction accuracy of the view synthesis prediction. Novel variants of the skip and direct modes are also presented, which infer the depth and correction vector information from neighboring blocks in a synthesized reference picture to reduce the bits needed for the view synthesis prediction mode. We demonstrate two multiview video coding scenarios in which view synthesis prediction is employed. In the first scenario, the goal is to improve the coding efficiency of multiview video where block-based depths and correction vectors are encoded by CABAC in a lossless manner on a macroblock basis. A variable block-size depth/motion search algorithm is described. Experimental results demonstrate that view synthesis prediction does provide some coding gains when combined with disparity-compensated prediction. In the second scenario, the goal is to use view synthesis prediction for reducing rate overhead incurred by transmitting depth maps for improved support of 3DTV and free-viewpoint video applications. It is assumed that the complete depth map for each view is encoded separately from the multiview video and used at the receiver to generate intermediate views. We utilize this information for view synthesis prediction to improve overall coding efficiency. Experimental results show that the rate overhead incurred by coding depth maps of varying quality could be offset by utilizing the proposed view synthesis prediction techniques to reduce the bitrate required for coding multiview video. (c) 2008 Elsevier B.V. All rights reserved.
Keyword:
Multiview video coding
View synthesis
Prediction
Depth
3DTV
Free-viewpoint video
AI总结

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
Signal Processing and Image Communication
IF:
2.7
论文数:
2.8K
被引数:
4.2K

机构

暂无机构信息
引用论文

引用论文

err分享
err收藏
Assessment of sarcopenia and changes in body composition after neoadjuvant chemotherapy and associations with clinical outcomes in oesophageal cancer
err2014-02-18
err0
PREAI
errConnie Yip; Vicky Goh; Andrew Davies; James Gossage; Rosalind Mitchell-Hay; Orla Hynes; Nick Maisey; Paul Ross; Andrew Gaya; David B. Landau; Gary J. Cook; Nyree Griffin; Robert Mason
err分享
err收藏
High performance imaging using large camera arrays
err2005-07-01
err1.2K
PREAI
errWilburn, B; Joshi, N; Vaish, V; Talvala, EV; Antunez, E; Barth, A; Adams, A; Horowitz, M; Levoy, M
err分享
err收藏
err分享
err收藏
Depth map creation and image-based rendering for advanced 3DTV services providing interoperability and scalability
err2007-02-01
err295
PREAI
errKauff, P.; Atzpadin, N.; Fehn, C.; Mueller, M.; Schreer, O.; Smolic, A.; Tanger, R.
err分享
err收藏
Endoscopic Endonasal Surgery for Pituitary Adenomas
err2014-12-01
err0
PREAI
errPaolo Cappabianca; Luigi Maria Cavallo; Domenico Solari; Vita Stagno; Felice Esposito; Michelangelo de Angelis
err分享
err收藏
TAGO: Rethinking Routing Design in High Performance Reconfigurable Networks
err2020-11-01
err0
PREAI
errMin Yee Teh; Yu-Han Hung; George Michelogiannakis; Shijia Yan; Madeleine Glick; John Shalf; Keren Bergman
err分享
err收藏
Identification of a unique TGF-β–dependent molecular and functional signature in microglia鉴定小胶质细胞中独特的tgf-β 依赖性分子和功能特征
err2013-12-08
err0
errOAAI
errOleg Butovsky; Mark P Jedrychowski; Craig S Moore; Ron Cialic; Amanda J Lanser; Galina Gabriely; Thomas Koeglsperger; Ben Dake; Pauline M Wu; Camille E Doykan; Zain Fanek; LiPing Liu; Zhuoxun Chen; Jeffrey D Rothstein; Richard M Ransohoff; Steven P Gygi; Jack P Antel; Howard L Weiner
err分享
err收藏
学者 查看更多内容