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Spatial shape error concealment for object-based image and video coding.

Luis Ducla Soares1, Fernando Pereira

  • 1Instituto Superior Técnico-Instituto de Telecomunicações, 1049-001 Lisboa, Portugal. Ids@lx.it.pt

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|September 21, 2004
PubMed
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This study introduces a novel spatial shape error concealment technique for object-based image and video coding. It uses Bézier curves to interpolate missing contour data, effectively reconstructing corrupted alpha planes.

Area of Science:

  • Computer Vision
  • Image Processing
  • Video Coding

Background:

  • Object-based image and video coding schemes are susceptible to channel errors.
  • Missing shape data in binary alpha planes leads to broken object contours.
  • Accurate shape representation is crucial for visual quality.

Purpose of the Study:

  • To propose an original spatial shape error-concealment technique for object-based coding.
  • To address the issue of missing contour data in binary alpha planes.
  • To improve the subjective visual impact of reconstructed images and videos.

Main Methods:

  • Assumes corrupted object shape is a binary alpha plane with missing data.
  • Extracts contours from the available alpha plane data.

Related Experiment Videos

  • Interpolates missing contour segments using Bézier curves based on surrounding contours.
  • Reconstructs the concealed alpha plane from the recovered contour.

    • Main Results:

    • Successfully interpolates missing contour parts.
    • Reconstructs a complete alpha plane from fragmented contour data.
    • Enhances the subjective visual quality of the reconstructed image/video.

    Conclusions:

    • The proposed Bézier curve interpolation technique effectively conceals spatial shape errors.
    • This method improves the visual fidelity of object-based image and video coding.
    • The technique offers a viable solution for handling missing shape information due to channel errors.