Rate control for transform domain Wyner-Ziv video coding

Feng Qin Wang, Yang Yu Fan, Yuan Kui Liu

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In order to reduce the transform domain Wyner-Ziv video decoding complexity, an effective rate control algorithm is proposed by utilizing the characteristic of feedback channel and temporal correlation. The encoder estimates the minimal number of rate chunks. According to the average number of requests and temporal correlations among coefficient bands, the suitable initial rate chunks are obtained thereafter by adjusting the minimal rate chunks, the chunks can effectively control the number of requests and reduce the decoding complexity. Experiments show that the proposed algorithm can greatly reduce decoding complexity without negatively impacting the coding efficiency.

Original languageEnglish
Pages (from-to)15-19
Number of pages5
JournalBeijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications
Volume32
Issue number4
StatePublished - Aug 2009

Keywords

  • Correlation noise model
  • Distribute video coding
  • Rate control
  • Wyner-Ziv video coding

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