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Low Computational Coding-Efficient Distributed Video Coding: Adding a Decision Mode to Limit Channel Coding Load.

Shahzad Khursheed1, Nasreen Badruddin1, Varun Jeoti2

  • 1Department of Electrical and Electronic Engineering, Institute of Health and Analytics, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.

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Summary
This summary is machine-generated.

This study introduces the QUAntized Transform ResIdual Decision (QUATRID) scheme to enhance distributed video coding (DVC). QUATRID significantly reduces computational complexity and improves coding efficiency by intelligently skipping zero transform blocks.

Keywords:
DRVCcoding efficient DRVCcoding efficient DVClow channel coding complexitylow complexity encoder DVC

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Area of Science:

  • Video compression
  • Digital signal processing
  • Information theory

Background:

  • Distributed video coding (DVC) offers low encoder complexity but lags in rate-distortion (RD) performance compared to predictive coding.
  • Existing distributed residual video coding (DRVC) methods show promise but require further enhancements for efficiency and complexity reduction.

Purpose of the Study:

  • To propose the QUAntized Transform ResIdual Decision (QUATRID) scheme to improve coding efficiency and reduce computational complexity in DVC.
  • To design and integrate a novel Quantized Transform Decision Mode (QUAM) for efficient processing of transform coefficients.
  • To develop an online correlation noise model (CNM) for enhanced decoder performance and bit rate reduction.

Main Methods:

  • Integration of a novel QUAM method into DRVC to skip zero quantized transform (QT) blocks.
  • Development and implementation of an online correlation noise model (CNM) at the decoder.
  • A reconstruction methodology for residual frames (R^) using encoder decisions and decoded information.

Main Results:

  • The QUATRID scheme achieves superior performance over DISCOVER, with PSNR gains of 0.06–0.32 dB and coding efficiency improvements of 5.4–10.48%.
  • Significant reduction in computational complexity: bit plane reduction exceeds 97%, Wyner-Ziv encoder complexity reduces over nine-fold, and channel coding complexity reduces over 34-fold.
  • Outperforms DISCOVER across all motion video types in reducing channel-encoded bit planes and overall encoder complexity.

Conclusions:

  • The proposed QUATRID scheme effectively enhances coding efficiency and drastically reduces computational complexity in distributed video coding.
  • The novel QUAM and online CNM contribute to significant performance gains and bit rate reduction.
  • QUATRID represents a substantial advancement in DRVC, addressing key challenges in efficiency and complexity for practical applications.