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    This study introduces the first rate control algorithm for video-based point cloud compression (V-PCC), optimizing bit allocation between geometry and attribute data. The novel approach significantly reduces bitrate while maintaining reconstructed point cloud quality.

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    Area of Science:

    • Computer Science
    • Signal Processing
    • Multimedia Engineering

    Background:

    • Video-based point cloud compression (V-PCC) lacks a defined rate control mechanism.
    • Efficient compression is crucial for V-PCC applications.

    Purpose of the Study:

    • To propose the first comprehensive rate control algorithm for V-PCC.
    • To optimize bit allocation for geometry and attribute data to enhance reconstructed point cloud quality.
    • To achieve significant bitrate savings in V-PCC.

    Main Methods:

    • Developed a video-level bit allocation algorithm optimizing geometry and attribute data.
    • Implemented a strategy to assign zero bits to unoccupied pixels in basic units (BUs).
    • Introduced a BU-level model updating scheme using auxiliary information for adaptive bitrate control.

    Main Results:

    • The proposed rate control algorithm achieves significant bitrate savings.
    • Optimized bit allocation between geometry and attribute videos improves overall quality.
    • Assigning zero bits to unoccupied pixels enhances compression efficiency.

    Conclusions:

    • The developed rate control algorithm is effective for V-PCC.
    • The method offers substantial bitrate reduction compared to existing approaches.
    • This work lays the foundation for efficient V-PCC rate control.