Error-Resilient Standard-Compliant Video Coding

  • Bernd Girod
  • Niko Färber
Chapter

Abstract

In this chapter we review and compare two approaches to robust video transmission that can be implemented within the H.263 video compression standard. The focus of this chapter is on channel adaptive approaches that rely on a feedback channel between transmitter and receiver carrying acknowledgment information. Based on the feedback information, rapid error recovery is achieved by intra refresh of erroneous image regions. The consideration of spatial error propagation provides an additional advantage. Though the average gain is less than 0.3 dB, annoying artifacts can be avoided in particularly unfavorable cases. The feedback messages that need to be defined outside the scope of H.263 are supported in the ITU-T Recommendation H.324 that describes terminals for low bit-rate multimedia communication. In order to investigate the influence of error concealment we provide simulation results for concealment with the zero motion vector and the true motion vector as a lower and an upper bound respectively. Experimental results with bursty bit error sequences simulating a wireless DECT channel at various Signal to Noise Ratios are presented in order to compare the different approaches. We are using a simple Forward Error Correction (FEC) scheme on the forward channel while assuming error-free transmission and a fixed delay of 100 ms for the backward channel. For the comparison of picture quality we distinguish between distortion caused by coding and distortion caused by transmission errors. For the second kind of distortion we derive a model that is verified by experimental results from an H.263 decoder. Whenever appropriate, a discussion of system and complexity issues is included.

Keywords

Discrete Cosine Transform Motion Vector Video Code Forward Error Correction Transmission Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1998

Authors and Affiliations

  • Bernd Girod
    • 1
  • Niko Färber
    • 1
  1. 1.Telecommunications LaboratoryUniversity of Erlangen-NurembergErlangenGermany

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