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Related Experiment Videos

A complexity-scalable software-based MPEG-2 video encoder.

Guo-bin Chen1, Xin-ning Lu, Xing-guo Wang

  • 1Institute of Information & Communication Engineering, Zhejiang University, Hangzhou 310027, China. chenguobin@zju.edu.cn

Journal of Zhejiang University. Science
|April 15, 2004
PubMed
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Software-based real-time video encoding on general-purpose processors (GPP) is now feasible. This approach offers improved performance and flexibility by optimizing algorithms and programming techniques for efficient video coding.

Area of Science:

  • Computer Engineering
  • Digital Signal Processing
  • Software Engineering

Background:

  • The trend towards software-based solutions for video encoding is driven by the capabilities of general-purpose processors (GPP) and advanced video signal processing algorithms.
  • Specialized hardware for video encoding is being replaced by flexible software implementations due to lower costs and easier upgrades.

Purpose of the Study:

  • To develop a software-based real-time video encoder on GPP.
  • To enhance video encoding performance and complexity scalability through optimized algorithms and programming strategies.

Main Methods:

  • Implemented an encoding structure designed for complexity scalability.
  • Utilized high-performance algorithms for computationally intensive modules within the video coding process.

Related Experiment Videos

  • Optimized programming techniques, considering processor characteristics for data access efficiency and parallelism, and employed methods like lookup tables to reduce computational complexity.
  • Main Results:

    • The developed software-based video encoder demonstrated significant improvements in global performance.
    • The approach provided substantial flexibility in regulating encoding complexity.
    • Simulation results validated the effectiveness of the proposed algorithms and programming methods.

    Conclusions:

    • Software-based real-time video encoding on GPP is a viable and advantageous alternative to specialized hardware.
    • The integration of optimized algorithms and programming techniques leads to enhanced performance and scalability in video coding.
    • This research facilitates more flexible and cost-effective video encoding solutions.