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Extended Coding Unit Partitioning for Future Video Coding.

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    New video coding methods improve compression efficiency using extended quad-tree and asymmetric ternary-tree partitioning. These techniques offer significant bit-rate savings for video compression standards.

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    Area of Science:

    • Video compression technology
    • Digital signal processing
    • Image and video coding

    Background:

    • Quad-tree plus binary-tree (QTBT) partitioning is crucial for next-generation video coding.
    • Existing methods require further optimization for enhanced compression efficiency.

    Purpose of the Study:

    • To investigate novel coding unit (CU) partitioning methods for improved video compression.
    • To enhance the flexibility and adaptability of video partitioning structures.

    Main Methods:

    • Proposed Central Extended Quad-Tree (CENTRAL-EQT) partitioning with a central pattern for varied sub-CU sizes.
    • Introduced Parallel Extended Quad-Tree (PARALLEL-EQT) for splitting along a single direction into identical sub-blocks.
    • Developed Asymmetric Ternary-Tree (ATT) partitioning for asymmetrical CU splitting into three sub-blocks.

    Main Results:

    • Achieved average luma BD-Rate savings of 4.92% (RA), 4.81% (LDP), and 5.08% (LDB).
    • Demonstrated effectiveness when combined with binary-tree partitioning for adaptability.
    • Showed compatibility and effectiveness with the upcoming Versatile Video Coding standard.

    Conclusions:

    • The proposed partitioning methods significantly improve video compression efficiency.
    • These methods offer enhanced adaptability and can capture diverse local content characteristics.
    • The new schemes are promising for future video coding standards like Versatile Video Coding.