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Bit allocation for dependent quantization with applications to multiresolution and MPEG video coders.

K Ramchandran1, A Ortega, M Vetterli

  • 1Dept. of Electr. and Comput. Eng., Illinois Univ., Urbana, IL.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1994
PubMed
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This study develops efficient bit allocation methods for dependent video coding, improving quality for MPEG and multiresolution coders. The approach optimizes full-resolution quality while meeting subresolution constraints, enhancing performance significantly.

Area of Science:

  • Digital Signal Processing
  • Video Compression Technologies
  • Information Theory

Background:

  • Optimal bit allocation is crucial for efficient video coding.
  • Existing methods primarily focus on independent coding scenarios.
  • Dependent coding, common in video, presents greater allocation challenges.

Purpose of the Study:

  • To extend efficient bit allocation techniques to dependent coding environments.
  • To optimize bit allocation for MPEG video coders and multiresolution coders.
  • To address the trade-off between full-resolution quality and subresolution constraints.

Main Methods:

  • Utilized an operational rate-distortion (R-D) framework for arbitrary quantizer sets.
  • Exploited monotonicity properties of dependent R-D curves for fast solutions.

Related Experiment Videos

  • Developed intelligent pruning conditions and heuristics for MPEG and multiresolution coding.

    • Main Results:

    • Achieved fast, near-optimal solutions for dependent bit allocation problems.
    • Demonstrated significant performance gains (2-3 dB) for subresolution layers in pyramidal coding.
    • Maintained near-optimal full-resolution quality (within 0.3 dB).

    Conclusions:

    • The proposed R-D framework and monotonicity exploitation enable efficient bit allocation in complex dependent coding.
    • The methods provide a practical solution for optimizing video quality across multiple resolutions and constraints.
    • This work advances video compression efficiency for applications like MPEG and multiresolution coding.