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    Area of Science:

    • Video Coding Technologies
    • Digital Signal Processing
    • Computer Vision

    Background:

    • The quadtree plus binary tree (QTBT) structure offers flexible block partitioning for future video coding standards.
    • QTBT's flexibility leads to increased partition combinations and high computational complexity compared to HEVC's quadtree structure.

    Purpose of the Study:

    • To propose a confidence interval based early termination (CIET) scheme for QTBT.
    • To reduce the computational complexity of QTBT block partitioning while maintaining rate-distortion optimization.

    Main Methods:

    • A rate-distortion (RD) model is developed to predict the RD cost of partition patterns without full encoding.
    • The mode decision problem is framed probabilistically using a confidence interval strategy for partition selection.

    Main Results:

    • The CIET algorithm reduces QTBT encoding time by 54.7%.
    • The proposed scheme results in only a 1.12% increase in bit rate.
    • Consistent performance is observed for high-resolution sequences.

    Conclusions:

    • The CIET scheme effectively reduces computational complexity in QTBT video coding.
    • The method offers significant speed-up with negligible impact on video coding efficiency.
    • CIET is particularly beneficial for high-resolution video applications where efficiency is critical.