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Occlusion-adaptive, content-based mesh design and forward tracking.

Y Altunbasak1, A M Tekalp

  • 1Dept. of Electr. Eng., Rochester Univ., NY.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1997
PubMed
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This study introduces an occlusion-adaptive mesh model for motion compensation, improving video quality by eliminating blocking artifacts. The new model breaks mesh connectivity across occlusions, enhancing motion rendition and tracking efficiency.

Area of Science:

  • Computer Vision
  • Image Processing
  • Video Compression

Background:

  • Block matching motion compensation causes blocking artifacts.
  • Existing 2-D mesh models lack adaptability for occlusions.
  • Mesh connectivity is unsuitable across occlusion boundaries.

Purpose of the Study:

  • Propose an occlusion-adaptive forward-tracking mesh model.
  • Improve motion compensation by handling occlusions effectively.
  • Enhance video rendition and tracking accuracy.

Main Methods:

  • Developed an occlusion-adaptive mesh model breaking connectivity across covered/uncovered regions.
  • Implemented no node points within the background to be covered (BTBC).
  • Refined mesh structure within model failure (MF) regions per frame.

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Main Results:

  • The proposed model effectively eliminates blocking artifacts.
  • Achieved better motion rendition compared to uniform or hierarchical meshes.
  • Demonstrated successful motion compensation and tracking with forward-tracking.

Conclusions:

  • The occlusion-adaptive mesh model offers superior motion compensation.
  • Breaking mesh connectivity at occlusions is crucial for accurate video processing.
  • The content-based mesh structure enhances visual quality and tracking performance.