Multiple description coding using adaptive error recovery for real-time video transmission

  • Authors:

  • Zhi Yang;Jiajun Bu;Chun Chen;Linjian Mo;Kangmiao Liu

  • Affiliations:

  • College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China

  • Venue:
  • PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
  • Year:
  • 2006

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Abstract

Real-time video transmission over packet networks faces several challenges such as limited bandwidth and packet loss. Multiple description coding (MDC) is an efficient error-resilient tool to combat the problem of packet loss. The main problem of MDC is the mismatch of reference frames in encoder and decoder, when some descriptions are lost during transmission. This paper presents an adaptive error recovery (AER) scheme for multiple description video coding. The proposed AER scheme, which is based on statistical analysis, can adaptively determine the nearly optimal error recovery (ER) method among our predefined ER methods such as interpolation, block replacement and motion vector (MV) reusing. The AER scheme has three advantages. First, it efficiently reduces the mismatch error. Second, it is completely based on pre- post-processing which requires no modification of the source coder. Third, it has low computational complexity, which is suitable for real-time video applications. Simulation results demonstrate that our proposed AER scheme achieves better performance compared with MDC with fixed error recovery (FER) scheme over lossy networks.