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An optimal quadtree-based motion estimation and motion-compensated interpolation scheme for video compression.

G M Schuster1, A K Katsaggelos

  • 1Adv. Technol. Res. Center, 3COM, Mount Prospect, IL 60056, USA. Guido_Schuster@mw.3com.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 16, 2008
PubMed
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This study introduces an optimal quadtree (QT)-based motion estimator for video compression. The novel approach significantly reduces bit usage for encoding displacement vector fields (DVFs) and QT segmentation compared to traditional methods.

Area of Science:

  • Computer Vision
  • Digital Signal Processing
  • Video Compression

Background:

  • Block matching algorithms are standard in video compression but can be inefficient.
  • Optimizing displacement vector field (DVF) and segmentation jointly is crucial for efficient video compression.

Purpose of the Study:

  • To develop an optimal quadtree (QT)-based motion estimator for video compression.
  • To minimize the energy of the displaced frame difference (DFD) for a given bit budget.
  • To introduce a novel motion-compensated interpolation scheme.

Main Methods:

  • Jointly optimizing QT decomposition and DVF using Lagrangian multiplier method and multilevel dynamic programming.
  • Implementing a fast convex search for the optimal Lagrangian multiplier.

Related Experiment Videos

  • Developing a motion-compensated interpolation scheme using the same mathematical framework.

    • Main Results:

    • The proposed QT-based motion estimator achieves the same DFD energy with approximately 25% fewer bits than block matching algorithms.
    • The estimator produces a spatially inhomogeneous DVF, adapting block size to motion complexity.
    • The novel interpolation scheme offers globally optimal control over interpolation error and DVF smoothness.

    Conclusions:

    • The QT-based motion estimator offers significant bit-rate savings for video compression.
    • The joint optimization approach effectively balances DVF encoding and segmentation.
    • The proposed motion-compensated interpolation scheme enhances video reconstruction quality.