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Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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Decision tree accelerated CTU partition algorithm for intra prediction in versatile video coding.

Guowei Teng1, Danqi Xiong1, Ran Ma1

  • 1School of Communication and Information Engineering, Shanghai University, Shanghai, China.

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This summary is machine-generated.

This study introduces a decision tree algorithm to speed up Versatile Video Coding (VVC) intra prediction. The method significantly reduces encoding time by optimizing coding tree unit partitioning, with minimal impact on video quality.

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Area of Science:

  • Video Compression Technology
  • Computer Vision and Image Processing
  • Algorithm Optimization

Background:

  • Versatile Video Coding (VVC) offers significant improvements over HEVC but faces high computational complexity.
  • The quadtree with nested multi-type tree (QTMT) partition structure in VVC contributes to enhanced compression efficiency and increased processing demands.

Purpose of the Study:

  • To develop an efficient algorithm for accelerating the intra prediction process in VVC.
  • To reduce the computational complexity of VVC encoding without substantial loss in compression performance.

Main Methods:

  • A decision tree-based algorithm is proposed to accelerate Coding Tree Unit (CTU) partitioning for VVC intra prediction.
  • Image features are extracted to assess Coding Unit (CU) complexity, feeding into a trained decision tree for partition prediction.
  • The algorithm enables early termination of the partition process or screens out redundant partition modes.

Main Results:

  • The proposed algorithm achieves an average encoding time reduction of approximately 52% across various test video sequences.
  • The Bjontegaard delta bit rate increase is minimal, averaging only 1.75% compared to the VVC reference test model VTM9.0.

Conclusions:

  • The decision tree accelerated CTU partition algorithm effectively reduces VVC encoding complexity.
  • This approach offers a practical solution for balancing compression efficiency and computational cost in VVC intra prediction.