End to end video distortion estimation with advanced error concealment considerations

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)

Abstract

Video transmission over error prone channels can suffer from packet losses when channel conditions are not favourable. As a result the quality of the decoded video at the receiver often differs from that of the encoded video at the transmitter. Accurate estimation of the end to end distortion (the distortion due to compression and packet loss after decoder error concealment) at the encoder can lead to more efficient and effective application of error resilience (e.g. selective intra coding, redundant slices etc.). This paper presents an end to end distortion estimation model that incorporates a probabilistic estimation of the distortion introduced by advanced error concealment methods often used by decoders, and new decaying factors, to mitigate the effect of packets loss. The proposed model offers significant improvements in estimation accuracy relative to existing models that only consider previous frame copy as the concealment strategy of the decoder.

Original languageEnglish
Title of host publication2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages303-306
Number of pages4
ISBN (Print)9781479961399
DOIs
Publication statusPublished - 2014
Event2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014 - Valletta, Malta
Duration: 7 Dec 201410 Dec 2014

Conference

Conference2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014
CountryMalta
CityValletta
Period7/12/1410/12/14

Keywords

  • Error Concealment
  • Error Resilience

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  • Cite this

    Cheng, Q., & Agrafiotis, D. (2014). End to end video distortion estimation with advanced error concealment considerations. In 2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014 (pp. 303-306). [7051564] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/VCIP.2014.7051564