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Uniform Depth Channel Flow01:27

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Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant...
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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
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Gradually Varying Flow01:29

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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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: May 1, 2026

Sample Drift Correction Following 4D Confocal Time-lapse Imaging
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Published on: April 12, 2014

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A robust H.264/AVC video watermarking scheme with drift compensation.

Xinghao Jiang1, Tanfeng Sun1, Yue Zhou1

  • 1School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Thescientificworldjournal
|March 28, 2014
PubMed
Summary

This study introduces a robust H.264/AVC video watermarking scheme for copyright protection. The method uses motion vector residuals and drift compensation to ensure high accuracy against attacks.

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Area of Science:

  • Digital video processing
  • Copyright protection technologies
  • Information security

Background:

  • Video watermarking is crucial for copyright protection.
  • Existing methods face challenges with robustness and imperceptibility.
  • H.264/AVC compression introduces complexities for watermarking.

Purpose of the Study:

  • To propose a robust H.264/AVC video watermarking scheme.
  • To minimize visual impact and distortion drift.
  • To enhance copyright protection with self-adaptive drift compensation.

Main Methods:

  • Utilizing motion vector residuals from smallest macroblock partitions.
  • Implementing self-adaptive drift compensation.
  • Applying Discrete Cosine Transform (DCT) to motion vector residuals for robustness.

Main Results:

  • Achieved excellent imperceptibility and low bit-rate increase.
  • Demonstrated robustness against various malicious attacks (different QPs, motion estimation algorithms).
  • Maintained an average accuracy of 80% after lossy compression.

Conclusions:

  • The proposed scheme offers effective copyright protection for H.264/AVC videos.
  • The method balances robustness, imperceptibility, and efficiency.
  • It provides a reliable solution against intentional video tampering.