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Three-dimensional video compression using subband/wavelet transform with lower buffering requirements.

H Khalil1, A F Atiya, S Shaheen

  • 1University of California, Santa Barbara, CA 93106, USA. hkhalil@engineering.ucsb.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 13, 2008
PubMed
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This study introduces a novel 3-D video compression method using wavelets, significantly reducing buffering requirements for real-time applications like video conferencing. It also addresses edge errors in wavelet decomposition for improved image sequence coding.

Area of Science:

  • Digital Signal Processing
  • Image and Video Compression
  • Wavelet Theory

Background:

  • Three-dimensional (3-D) video compression often requires extensive frame buffering for temporal decomposition.
  • This buffering introduces significant time delays, problematic for interactive applications like video conferencing.
  • Wavelet decomposition, while effective, can introduce edge errors, especially with short signal segments.

Purpose of the Study:

  • To develop a 3-D video compression technique with reduced buffering needs.
  • To enable true temporal direction decomposition in interactive applications.
  • To mitigate edge errors caused by wavelet filters in 3-D video coding.

Main Methods:

  • Implemented a 3-D video compression approach utilizing wavelet decomposition along the temporal axis.

Related Experiment Videos

  • Introduced an approximation in encoding transform coefficients to reduce buffering.
  • Developed a solution for edge errors specific to the Daubechies (1988) family of wavelet filters.
  • Main Results:

    • Demonstrated effective 3-D video compression with substantially decreased buffering requirements.
    • Achieved true temporal direction decomposition with minimal delay.
    • Successfully addressed and resolved edge errors in wavelet-processed image sequences.

    Conclusions:

    • The proposed method enables efficient 3-D video compression for interactive applications by minimizing time delays.
    • The technique offers a practical solution for reducing buffering in wavelet-based video coding.
    • The presented error correction method enhances the quality of 3-D video processed with specific wavelet filters.