• DocumentCode
    381875
  • Title

    Shape refreshment need metric for object-based resilient video coding

  • Author

    Soares, Luis Ducla ; Pereira, Fernando

  • Author_Institution
    Instituto de Telecomunicacoes, Instituto Superior Tecnico, Lisbon, Portugal
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Abstract
    Although there are several techniques that video encoders may use to improve error resilience, it is largely recognized that intra coding refreshment plays a major role. This technique is especially useful for video encoders that rely on predictive (inter) coding to remove temporal redundancy because, in these conditions, the decoded quality can decay very rapidly due to error propagation if errors occur in the transmission or storage of the coded streams. Therefore, in order to avoid error propagation for too long a time, the encoder can use a coding refreshment scheme to refresh the decoding process and stop (spatial and temporal) error propagation. In the context of object-based video coding, the video encoder can apply intra coding refreshment to both the shape and the texture data. A shape refreshment need metric is proposed which can be used by object-based video encoders, notably MPEG-4 video encoders, to determine when the shape of a given video object should be refreshed in order to improve the decoded video quality.
  • Keywords
    code standards; data compression; decoding; image texture; prediction theory; telecommunication standards; video coding; MPEG-4 coding standard; MPEG-4 video encoders; coded streams storage; coded streams transmission; decoded video quality; decoding; intra coding refreshment; object-based resilient video coding; predictive coding; shape refreshment need metric; spatial error propagation; temporal error propagation; temporal redundancy removal; texture data; video encoders; video object; Availability; Context-aware services; Decoding; MPEG 4 Standard; Redundancy; Resilience; Shape measurement; Streaming media; Telecommunications; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing. 2002. Proceedings. 2002 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7622-6
  • Type

    conf

  • DOI
    10.1109/ICIP.2002.1037987
  • Filename
    1037987