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Temporal Prediction Model-Based Fast Inter CU Partition for Versatile Video Coding.

Yue Li1, Fei Luo1, Yapei Zhu2

  • 1College of Computer Science, University of South China, Hengyang 421001, China.

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|October 27, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a fast inter coding unit partition method for Versatile Video Coding (VVC). The approach reduces coding complexity by 23.19% with minimal impact on compression efficiency.

Keywords:
CU partitionQTMTtemporal prediction modelversatile video coding

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Area of Science:

  • Video compression technology
  • Digital signal processing

Background:

  • Versatile Video Coding (VVC) offers high compression efficiency via its Quad-tree plus Multi-type Tree (QTMT) structure.
  • This advanced structure significantly increases coding complexity, posing a challenge for real-time applications.

Purpose of the Study:

  • To develop an efficient method for reducing the coding complexity of QTMT-based coding unit (CU) partitioning in VVC.
  • To maintain high compression performance while decreasing computational load.

Main Methods:

  • A temporal prediction model is proposed to predict CU partition information from previously coded frames.
  • Early termination of QTMT partition and early skipping of multi-type tree (MT) partition are incorporated.
  • Motion Vector Difference (MVD) is utilized to refine predictions and reduce cumulative errors.

Main Results:

  • The proposed method achieves an average reduction of 23.19% in inter coding complexity for VVC.
  • A minor average increase of 0.97% in Bjontegaard delta bit rate (BDBR) was observed under the Random Access (RA) configuration.

Conclusions:

  • The developed fast inter CU partition method effectively mitigates VVC's coding complexity.
  • The method offers a practical solution for enhancing VVC performance without substantial bitrate penalty.