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Low-Complexity Multiple Transform Selection Combining Multi-Type Tree Partition Algorithm for Versatile Video Coding.

Liqiang He1, Shuhua Xiong1, Ruolan Yang1

  • 1College of Electronics and Information Engineering, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu 610065, China.

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Summary
This summary is machine-generated.

This study introduces a faster method for Versatile Video Coding (VVC) encoding by optimizing the Multiple Transform Selection (MTS) process. The new approach significantly reduces encoding time with minimal impact on video quality.

Keywords:
CU partitionfast intra-codingmultiple transform selectionreal-time sensor networksversatile video coding

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Area of Science:

  • Digital video compression
  • Image and video processing
  • Computer vision

Background:

  • Versatile Video Coding (VVC) offers improved compression over High-Efficiency Video Coding (HEVC).
  • VVC's high computational complexity, particularly in Multiple Transform Selection (MTS), hinders real-time applications.
  • Rate-Distortion Optimization (RDO) in MTS is a major contributor to encoding time.

Purpose of the Study:

  • To develop a low-complexity MTS algorithm for VVC.
  • To enable VVC for real-time sensor networks by reducing encoding time.
  • To maintain high video compression efficiency while decreasing computational load.

Main Methods:

  • Proposed a novel method to estimate Rate-Distortion (RD) cost for the last Coding Unit (CU), bypassing direct MTS RDO checks.
  • Introduced an early termination strategy for MTS using information from neighboring Coding Units (CUs).
  • Combined the optimized MTS with a multi-type tree partition algorithm.

Main Results:

  • Achieved a 26.40% reduction in video encoding time compared to standard VVC.
  • Observed a minimal increase of 0.13% in Bjøontegaard Delta Bitrate (BDBR), indicating preserved compression efficiency.
  • Demonstrated the effectiveness of the proposed low-complexity MTS approach.

Conclusions:

  • The proposed method significantly accelerates VVC encoding without substantial quality degradation.
  • Optimized MTS is crucial for making VVC viable in real-time scenarios.
  • This technique offers a practical solution for efficient video compression in resource-constrained environments.