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Context-adaptive based CU processing for 3D-HEVC.

Liquan Shen1, Ping An1, Zhi Liu1

  • 1Key Laboratory of Advanced Display and System Application, Ministry of Education, Shanghai University, Shanghai, China.

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Summary
This summary is machine-generated.

This study introduces a fast algorithm for 3D High Efficiency Video Coding (3D-HEVC) that significantly reduces encoding time. The method optimizes complex processes, achieving substantial speedups with minimal impact on video quality for 3D-HEVC encoding.

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Area of Science:

  • Computer Vision
  • Video Compression
  • Digital Signal Processing

Background:

  • 3D High Efficiency Video Coding (3D-HEVC) offers high coding efficiency for multi-view videos and depth data.
  • Current 3D-HEVC test models (HTM) achieve high compression but suffer from excessive computational complexity.
  • Key complex components include CU depth decision, mode decision, motion estimation (ME), and disparity estimation (DE).

Purpose of the Study:

  • To develop a context-adaptive algorithm for accelerating 3D-HEVC encoding.
  • To jointly optimize the computationally intensive CU depth, mode, ME, and DE processes.
  • To reduce the high computational complexity of 3D-HEVC without significant quality degradation.

Main Methods:

  • A context-adaptive fast CU processing algorithm is proposed.
  • The algorithm leverages correlations from spatiotemporal, inter-view, and inter-component neighbors.
  • CUs are categorized into five types for adaptive processing strategies: DE-omitted, ME-DE-omitted, SPLIT, Non-SPLIT, and normal CUs.

Main Results:

  • The proposed algorithm achieves an average of 70% reduction in encoder runtime.
  • There is a minimal increase in BD-rate: 0.1% for coded views and 0.8% for synthesized views.
  • The algorithm demonstrates superior performance compared to state-of-the-art methods in terms of speed and rate-distortion.

Conclusions:

  • The context-adaptive fast CU processing algorithm effectively reduces 3D-HEVC encoding complexity.
  • Significant runtime savings are achieved with negligible impact on video quality.
  • This approach offers a practical solution for efficient 3D video compression.