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    This study introduces a video vectorization method converting raster videos into compact, scalable vector videos. This approach ensures faithful reconstruction with minimal errors, offering benefits of vector graphics.

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    Area of Science:

    • Computer Vision
    • Computer Graphics
    • Digital Media

    Background:

    • Raster video formats are widely used but lack scalability and are large in file size.
    • Vector graphics offer advantages like scalability and compactness, desirable for efficient video representation.

    Purpose of the Study:

    • To develop a novel method for video vectorization, transforming raster videos into a compact vector format.
    • To leverage vector graphics benefits for improved video storage and transmission.

    Main Methods:

    • A video vectorization technique is presented, converting raster video input to a vector representation.
    • The vector video is defined by a simplified tetrahedral control mesh across the spatial-temporal volume.
    • Novel tetrahedral mesh simplification and subdivision techniques are employed to preserve features and color fidelity.

    Main Results:

    • The method generates a compact vector video representation from raster input.
    • High simplification ratios are achieved while maintaining essential video features.
    • Faithful video reconstruction with low errors is demonstrated.

    Conclusions:

    • The proposed video vectorization method effectively converts raster videos to a scalable vector format.
    • The technique offers significant advantages in terms of compactness and reconstruction fidelity.
    • This approach paves the way for more efficient video data handling.