Skip to main navigation Skip to search Skip to main content

Heegard-Berger video coding using LMMSE estimator

  • Fan Xiaopeng*
  • , Au Oscar
  • , Chen Yan
  • , Zhou Jiantao
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper a novel distributed video coding scheme was proposed based on Heegard-Berger coding theorem, rather than Wyner-Ziv theorem. The main advantage of HB coding is that the decoder can still decode and output a coarse reconstruction, even if side information degrade or absent. And if side information present or upgrade at decoder, a better reconstruction can be achieved. This robust feature can solve the problem lies in Wyner-Ziv video coding that the encoder can hardly decide the bit rate because rate-distortion was affected by the side information known only at the decoder. This feature also leaded to our HB video coding scheme with 2 decoding level of which we first reconstruct a coarse reconstruction frame without side information, and do motion search in previous reconstructed frame to find side information, then reconstruct a fine reconstruction frame through HB decoding again, with side information available.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2006
Subtitle of host publication7th Pacific Rim Conference on Multimedia, Proceedings
PublisherSpringer Verlag
Pages122-130
Number of pages9
ISBN (Print)3540487662, 9783540487661
StatePublished - 2006
Externally publishedYes
EventPCM 2006: 7th Pacific Rim Conference on Multimedia - Hangzhou, China
Duration: 2 Nov 20064 Nov 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4261 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferencePCM 2006: 7th Pacific Rim Conference on Multimedia
Country/TerritoryChina
CityHangzhou
Period2/11/064/11/06

Keywords

  • Distributed video coding
  • Heegard-Berger coding
  • LMMSE
  • Side information

Fingerprint

Dive into the research topics of 'Heegard-Berger video coding using LMMSE estimator'. Together they form a unique fingerprint.

Cite this