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A Fast Algorithm for Intra-Frame Versatile Video Coding Based on Edge Features.

Shuai Zhao1, Xiwu Shang1, Guozhong Wang1

  • 1School of Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.

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|July 14, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a low-complexity algorithm for Versatile Video Coding (VVC) intra coding. The edge-based method significantly reduces encoding time while minimally impacting bit rate performance.

Keywords:
CU partitionedge directionfast algorithmversatile video coding (VVC)

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Area of Science:

  • Digital video compression
  • Image processing
  • Computer vision

Background:

  • Versatile Video Coding (VVC) offers enhanced compression efficiency through advanced techniques like quadtree with nested multi-type tree (QTMT).
  • The high computational complexity of VVC, particularly in intra coding, hinders its real-time application.
  • Efficient intra coding is crucial for reducing processing demands in video compression.

Purpose of the Study:

  • To develop a low-complexity intra coding algorithm for Versatile Video Coding (VVC).
  • To address the computational complexity challenges associated with VVC's QTMT partitioning.
  • To improve the feasibility of VVC for real-time video processing applications.

Main Methods:

  • Edge feature extraction using the Laplacian of Gaussian (LOG) operator to identify horizontal and vertical edges.
  • Calculation of edge feature values within sub-blocks of coding units (CUs).
  • Early termination of partitioning for CUs lacking edges, guided by neighboring CU depth information.

Main Results:

  • The proposed algorithm achieved an average encoding time reduction of 54.08% compared to VTM-13.0.
  • The Bjøntegaard delta bit rate (BDBR) experienced a minimal increase of 1.61%.
  • Significant reduction in computational complexity for VVC intra coding.

Conclusions:

  • The edge-based low-complexity partition algorithm effectively reduces VVC intra coding time.
  • The algorithm demonstrates a favorable trade-off between compression efficiency and computational complexity.
  • This method enhances the practicality of VVC for real-time video coding scenarios.