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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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Related Experiment Video

Updated: Mar 30, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

864

Encoder-Driven Inpainting Strategy in Multiview Video Compression.

Yu Gao, Gene Cheung, Thomas Maugey

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |November 13, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an encoder-driven inpainting method for free viewpoint video compression. The strategy minimizes data transmission by having decoders inpaint missing video data, improving reconstructed image quality.

    Related Experiment Videos

    Last Updated: Mar 30, 2026

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    864

    Area of Science:

    • Computer Vision
    • Video Compression
    • Image Processing

    Background:

    • Free viewpoint video systems enable user-selected virtual camera angles from multiple 3D scene views.
    • Redundancy exists across viewpoints (inter-view), within images (inter-patch), and locally (inter-pixel).
    • Exploiting these redundancies is crucial for efficient multiview video compression.

    Purpose of the Study:

    • To propose an encoder-driven inpainting strategy for inter-view predictive coding in free viewpoint video.
    • To reduce coding overhead by minimizing explicit instructions sent from encoder to decoder.
    • To enhance reconstructed image quality through intelligent inpainting of missing data.

    Main Methods:

    • Pixels from a reference view are projected to a target view using depth-image-based rendering.
    • Decoders independently inpaint missing data (holes) in a block-by-block manner.
    • Difficult-to-inpaint blocks are reconstructed using explicit coding (Graph Fourier Transform or DCT), while easier blocks use template-based inpainting.

    Main Results:

    • The proposed scheme achieves up to a 3-dB peak-signal-to-noise-ratio (PSNR) gain.
    • Experimental results show significant quality improvement over standard 3D-High Efficiency Video Coding (3D-HEVC).
    • The encoder-driven approach effectively reduces coding overhead by minimizing transmitted instructions.

    Conclusions:

    • The encoder-driven inpainting strategy offers a novel and effective approach for multiview video compression.
    • This method significantly improves the quality of reconstructed free viewpoint video.
    • The technique balances explicit coding for complex regions with implicit inpainting for simpler ones, optimizing compression efficiency.