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Multiscale modeling and estimation of motion fields for video coding.

P Moulin1, R Krishnamurthy, J W Woods

  • 1Bellcore, Morristown, NJ.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1997
PubMed
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This study introduces a new video coding method using linear multiscale models for motion fields. This approach improves predictive video coding efficiency and visual quality, outperforming existing techniques.

Area of Science:

  • Digital Signal Processing
  • Computer Vision
  • Video Compression

Background:

  • Motion-compensated predictive video coding is crucial for efficient video compression.
  • Existing methods like triangle motion compensation (TMC) and block matching have limitations in accuracy and complexity.
  • Representing and estimating motion fields accurately is key to improving video coding performance.

Purpose of the Study:

  • To develop a systematic approach for forward-motion-compensated predictive video coding.
  • To introduce a flexible linear multiscale model for compactly representing motion fields.
  • To optimize the estimation and quantization of motion field coefficients for enhanced video quality.

Main Methods:

  • Utilized linear multiscale models, specifically linear finite elements, to capture motion field properties.

Related Experiment Videos

  • Employed a modified optical flow technique to minimize a cost function balancing prediction accuracy and complexity.
  • Formulated motion estimation and quantization as a joint discrete optimization problem solved with a multiscale relaxation algorithm.

    • Main Results:

    • Achieved average improvements exceeding 0.5 dB over TMC and half-pel-accuracy, full-search block matching.
    • Demonstrated visually superior reconstructed video quality.
    • Eliminated blocking artifacts in the reconstructed video sequences.

    Conclusions:

    • The proposed systematic approach offers significant performance gains in predictive video coding.
    • Linear multiscale models provide an effective representation for complex motion fields.
    • Joint optimization of motion estimation and quantization leads to superior video reconstruction quality.