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Related Experiment Video

Updated: Nov 27, 2025

Characterization of Anisotropic Leaky Mode Modulators for Holovideo
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Content Adaptive Lagrange Multiplier Selection for Rate-Distortion Optimization in 3-D Wavelet-Based Scalable Video

Ying Chen1, Guizhong Liu1

  • 1School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China.

Entropy (Basel, Switzerland)
|December 3, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for selecting Lagrange multipliers in 3-D wavelet-based scalable video coding (SVC). The content-adaptive algorithm improves video quality by optimizing rate-distortion (RDO) trade-offs without increasing computational load.

Keywords:
3-D wavelet-based SVCLagrange multipliermode decisionmotion-compensated temporal filteringrate-distortion optimizationscalable video coding

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Area of Science:

  • Video Compression
  • Signal Processing
  • Image Analysis

Background:

  • Rate-distortion optimization (RDO) is crucial for video coding efficiency.
  • Conventional RDO methods in hybrid video coding are not suitable for 3-D wavelet-based SVC.
  • Existing methods lack adaptability to content features and explicit quantization step values.

Purpose of the Study:

  • To propose an efficient content-adaptive Lagrange multiplier selection algorithm for 3-D wavelet-based SVC.
  • To enhance quality scalability in video coding.
  • To address the limitations of conventional RDO in 3-D wavelet-based SVC.

Main Methods:

  • Developed a novel weighting method considering mutual information, gradient per pixel, and texture homogeneity.
  • Applied motion-compensated temporal filtering (MCTF) to analyze temporal subband characteristics.
  • Derived an optimal Lagrange multiplier based on the proposed subband weighting factor model.

Main Results:

  • The proposed algorithm effectively selects Lagrange multipliers for 3-D wavelet-based SVC.
  • Demonstrated improved video quality with the content-adaptive approach.
  • Achieved satisfactory results with negligible additional computational complexity.

Conclusions:

  • The novel weighting method accurately captures temporal subband characteristics.
  • The derived optimal Lagrange multiplier enhances RDO performance in 3-D wavelet-based SVC.
  • The proposed algorithm offers a practical solution for quality-scalable video coding.