Modeling Correlation Noise Statistics at Decoder for Multi-view Distributed Video Coding

被引：5

作者：

Li, Yongpeng ^{[1
]}

Ma, Siwei ^{[2
]}

Zhao, Debin ^{[1
]}

Gao, Wen ^{[2
]}

机构：

[1] Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China

[2] Peking Univ, Sch Elect Engn & Comp Sci, Beijing, Peoples R China

来源：

ISCAS: 2009 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-5 | 2009年

关键词：

Multi-view video coding; distributed video coding; correlation model;

D O I：

10.1109/ISCAS.2009.5118333

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recently, multi-view distributed video coding (MDVC) receives more and more attention, as its low-complexity encoder and high-complexity decoder coding paradigm suits for many applications such as sensor networks, in which several view sequences are required to be coded by a few power-constraint encoders. Modeling the correlation noises between original frame and side information frame is a hot research issue in distributed video coding (DVC), since it is a vital factor affecting the coding efficiency. This paper firstly proposes a novel method to model the correlation noises in MDVC. And an algorithm to online estimate the model at decoder using the knowledge of adjacent views is also presented. Experiment results show that the proposed correlation model can significantly improve coding efficiency.

引用

页码：2597 / +

页数：2

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