• DocumentCode
    960232
  • Title

    Adaptive shape and texture intra refreshment schemes for improved error resilience in object-based video coding

  • Author

    Soares, Luis Ducla ; Pereira, Fernando

  • Author_Institution
    Instituto de Telecomunicacoes, Inst. Superior Tecnico, Lisboa, Portugal
  • Volume
    13
  • Issue
    5
  • fYear
    2004
  • fDate
    5/1/2004 12:00:00 AM
  • Firstpage
    662
  • Lastpage
    676
  • Abstract
    Video encoders may use several techniques to improve error resilience. In particular, for video encoders that rely on predictive (inter) coding to remove temporal redundancy, intra coding refreshment is especially useful to stop temporal error propagation when errors occur in the transmission or storage of the coded streams, since these errors may cause the decoded quality to decay very rapidly. In the context of object-based video coding, intra coding refreshment can be applied to both the shape and texture data. In this paper, novel shape and texture intra refreshment schemes are proposed which can be used by object-based video encoders, such as MPEG-4 video encoders, independently or combined. These schemes allow to adaptively determine when the shape and texture of the various video objects in a scene should be refreshed in order to maximize the decoded video quality for a certain total bit rate.
  • Keywords
    image texture; object detection; video coding; visual communication; MPEG-4 video encoders; adaptive shape; error resilience; image transmission; intracoding refreshment; object-based video coding; predictive coding; shape data; temporal error propagation; temporal redundancy; texture data; texture infrarefreshment schemes; video encoders; video quality; video transmission; Bit rate; Decoding; Layout; MPEG 4 Standard; Redundancy; Resilience; Shape measurement; Streaming media; Video coding; Video compression; Algorithms; Data Compression; Hypermedia; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Video Recording;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2004.826092
  • Filename
    1288192