Multichannel Correlation Model for Efficient Decoding in Wyner-Ziv Video Codec

  • Authors:

  • Haitao Zhang;Huadong Ma

  • Affiliations:

  • Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China 100876;Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China 100876

  • Venue:
  • PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
  • Year:
  • 2009

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Abstract

As a new video coding scheme, distributed video coding (DVC) has attracted extensive attention recently. However, there is a long way to go for applying it in practice due to some challenges. In the existing DVC paradigms, the expense of the low encoding complexity is the astronomical computation of decoding. This paper first proposes an adaptive correlation noise modeling technique for the transform-domain Wyner-Ziv (TDWZ) video coding. Then, based on the correlation modeling method, a novel multichannel decoding scheme is proposed further. The multichannel scheme can efficiently model the virtual channel noise and decode the Wyner-Ziv frame in parallel. Experimental results show that our solution greatly reduces the channel modeling time at the expense of very little loss of the R-D performance.