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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Efficient intra mode decision for low complexity HEVC screen content compression.

Qiuwen Zhang1, Yongbo Zhao1, Weiwei Zhang1

  • 1College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China.

Plos One
|January 1, 2020
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Summary
This summary is machine-generated.

This study introduces an efficient intra mode decision method for High Efficiency Video Coding Screen Content Coding (HEVC-SCC) to reduce computational complexity. The proposed approach significantly cuts encoder runtime by 48.5% while maintaining coding efficiency.

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Area of Science:

  • Video compression algorithms
  • Digital signal processing
  • Computer vision

Background:

  • High Efficiency Video Coding Screen Content Coding (HEVC-SCC) enhances compression for screen content (SC) video.
  • HEVC-SCC's intra mode selection across all coding units (CUs) for minimum rate-distortion (RD) cost and additional tools increase computational complexity.
  • This complexity limits HEVC-SCC's applicability in real-time scenarios.

Purpose of the Study:

  • To develop an efficient intra mode decision method for HEVC-SCC.
  • To reduce the high computational complexity associated with HEVC-SCC.
  • To maintain coding efficiency while improving processing speed.

Main Methods:

  • Proposed an adaptive intra mode decision strategy for HEVC-SCC.
  • Analyzed screen content treeblock texture complexity based on luminance variation.
  • Implemented early CU depth level determination and adaptive intra mode selection based on complexity analysis.

Main Results:

  • The proposed method significantly reduces encoder runtime by 48.5%.
  • Coding efficiency is maintained at nearly the same level as standard HEVC-SCC encoders.
  • The method effectively addresses the computational complexity issue in HEVC-SCC.

Conclusions:

  • The developed intra mode decision method offers a practical solution for HEVC-SCC complexity.
  • Adaptive utilization of texture complexity enables efficient processing.
  • This approach facilitates the broader adoption of HEVC-SCC in demanding applications.