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Lossless video sequence compression using adaptive prediction.

Ying Li1, Khalid Sayood

  • 1Department of Electrical Engineering, University of Nebraska, Lincoln, NE 68588-0551, USA. yingli@bigred.unl.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|April 5, 2007
PubMed
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This study introduces an adaptive lossless video compression algorithm using predictive coding. It achieves significant compression efficiency improvements by exploiting redundancies with low side information and reduced computational complexity.

Area of Science:

  • Computer Science
  • Signal Processing
  • Information Theory

Background:

  • Video compression is crucial for efficient storage and transmission.
  • Existing methods often face trade-offs between compression ratio and computational complexity.
  • Exploiting redundancies (temporal, spatial, spectral) is key to improving compression.

Purpose of the Study:

  • To develop an adaptive lossless video compression algorithm.
  • To minimize side information and computational complexity.
  • To analyze the impact of operational domain on compression performance.

Main Methods:

  • Utilizing predictive coding for backward adaptive compression.
  • Employing a caching strategy to reduce computational load.
  • Investigating the relationship between coder domain (wavelet/spatial) and redundancy exploitation.

Related Experiment Videos

Main Results:

  • The proposed algorithm effectively exploits temporal, spatial, and spectral redundancies.
  • Low side information and reduced computational complexity were achieved.
  • Significant improvements in compression efficiencies were demonstrated through experimental results.

Conclusions:

  • The adaptive lossless video compression algorithm offers superior performance.
  • The method provides a practical solution for efficient video compression.
  • Further research can explore optimal domain selection for diverse video content.