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相关概念视频

Fast Fourier Transform01:10

Fast Fourier Transform

392
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
392
Upsampling01:22

Upsampling

265
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...
265
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

114
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
114
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

493
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
493
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

106
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
106
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

245
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
245

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相关实验视频

Updated: Jul 23, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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基于边缘特征的快速算法,用于基于边缘特征的框架内多功能视频编码.

Shuai Zhao1, Xiwu Shang1, Guozhong Wang1

  • 1School of Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了用于多功能视频编码 (VVC) 内编码的低复杂度算法. 基于边缘的方法显著减少了编码时间,同时对比特率性能影响最小.

关键词:
的CU分区.边缘的方向 边缘的方向快速的算法快速的算法.多功能视频编码 (VVC)

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Last Updated: Jul 23, 2025

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科学领域:

  • 数字视频压缩数字视频压缩
  • 图像处理 图像处理
  • 计算机视觉 计算机视觉 计算机视觉

背景情况:

  • 多功能视频编码 (VVC) 通过高级技术提高了压缩效率,例如嵌套多类型树 (QTMT) 的 quadtree.
  • VVC的高计算复杂性,特别是在内部编码中,阻碍了其实时应用.
  • 高效的内部编码对于降低视频压缩中的处理需求至关重要.

研究的目的:

  • 开发用于多功能视频编码 (VVC) 的低复杂度内编码算法.
  • 为了解决与VVC的QTMT分区相关的计算复杂性挑战.
  • 为了提高VVC的可行性,用于实时视频处理应用.

主要方法:

  • 使用Laplacian of Gaussian (LOG) 运算符来识别水平和垂直边缘的边缘特征提取.
  • 在编码单位 (CU) 的子块内计算边缘特征值.
  • 根据邻近的CU深度信息,对缺乏边缘的CU进行分区的早期终止.

主要成果:

  • 与VTM-13.0.0.相比,拟议的算法实现了54.08%的平均编码时间缩短.
  • 布恩特加德三角洲比特率 (BDBR) 经历了1.61%的最小增长.
  • 显著减少VVC内部编码的计算复杂性.

结论:

  • 基于边缘的低复杂度分区算法有效地减少了VVC内部编码时间.
  • 该算法证明了压缩效率和计算复杂性之间的有利权衡.
  • 这种方法提高了对实时视频编码场景的VVC的实用性.