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Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
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Three-Zone Segmentation Based Motion Compensation for Video Compression.

Zhao Wang, Shiqi Wang, Xinfeng Zhang

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 19, 2019
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    Summary
    This summary is machine-generated.

    This study introduces a novel three-zone segmentation for motion compensation in video coding, improving motion field accuracy and coding efficiency. The method achieves bitrate savings without explicit signaling, enhancing compression performance.

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    Area of Science:

    • Digital Signal Processing
    • Computer Vision
    • Video Compression Technologies

    Background:

    • Block-based motion compensation is standard in video coding (H.264/AVC, HEVC) for efficiency.
    • This approach can limit compression due to misalignment with actual object motion boundaries.
    • Improved motion field description accuracy is crucial for enhanced video compression.

    Purpose of the Study:

    • To propose a three-zone segmentation-based motion compensation scheme.
    • To enhance the accuracy of motion field description and overall coding efficiency.
    • To integrate segmentation information implicitly within the reference frame.

    Main Methods:

    • A three-zone segmentation (edge, foreground, background) is identified implicitly.
    • Foreground zones use signaled motion vectors; background zones use derived motion information.
    • Edge zones employ a weighted compensation strategy for overlapped areas.

    Main Results:

    • The algorithm was implemented in the Versatile Video Coding (VVC) reference software VTM-1.0.
    • Achieved 1.14% bitrate savings for random access configurations.
    • Achieved 1.06% bitrate savings for low-delay configurations.

    Conclusions:

    • The proposed three-zone segmentation enhances motion compensation accuracy.
    • Implicit signaling of segmentation information improves coding efficiency.
    • The method offers practical bitrate reductions in modern video coding standards.