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Related Concept Videos

Encoding01:19

Encoding

313
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
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Convolution Properties II01:17

Convolution Properties II

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The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
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Upsampling01:22

Upsampling

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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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Convolution Properties I01:20

Convolution Properties I

296
Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
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Variance01:15

Variance

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 The deviations show how spread out the data are about the mean. A positive deviation occurs when the data value exceeds the mean, whereas a negative deviation occurs when the data value is less than the mean. If the deviations are added, the sum is always zero. So one cannot simply add the deviations to get the data spread. By squaring the deviations, the numbers are made positive; thus, their sum will also be positive.
The standard deviation measures the spread in the same units as the...
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Pulse amplitude and quality01:17

Pulse amplitude and quality

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Pulse amplitude is a crucial indicator of cardiac health because it provides valuable insights into the strength of left ventricular contractions and the overall uniformity of blood circulation within the vasculature. The strength of the pulse is directly related to the force with which the heart contracts and the volume of blood being pumped.
A weak or absent pulse may indicate reduced cardiac output or poor left ventricular contraction, which can be signs of cardiovascular dysfunction or...
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Updated: Oct 22, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Performance Overview of the Latest Video Coding Proposals: HEVC, JEM and VVC.

Miguel O Martínez-Rach1, Héctor Migallón1, Otoniel López-Granado1

  • 1Computer Engineering Department, Miguel Hernández University, 03202 Elche, Spain.

Journal of Imaging
|August 30, 2021
PubMed
Summary
This summary is machine-generated.

The latest video coding standards, Joint Exploration Model (JEM) and Versatile Video Coding (VVC), are compared for Rate/Distortion (R/D) performance and complexity. VVC prioritizes reduced complexity over optimal R/D performance for future UHD video encoding.

Keywords:
HEVCJEMVVCperformancevideo coding standards

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Area of Science:

  • Video compression technology
  • Digital signal processing
  • Multimedia engineering

Background:

  • The audiovisual industry seeks efficient video encoders for high-definition and Ultra High-Definition (UHD) content.
  • Balancing Rate/Distortion (R/D) performance with computational complexity is crucial for next-generation video coding.

Purpose of the Study:

  • To analyze and compare the R/D performance and complexity of Joint Exploration Model (JEM) and Versatile Video Coding (VVC).
  • To evaluate the trade-offs between R/D gains and implementation complexity in emerging video coding standards.

Main Methods:

  • Comparative analysis of JEM and VVC video coding standards.
  • Evaluation of R/D performance metrics.
  • Assessment of computational and hardware complexity for coding and decoding.

Main Results:

  • Versatile Video Coding (VVC) demonstrates a significant reduction in coding/decoding complexity compared to JEM.
  • JEM offers potentially higher R/D performance but at the cost of increased complexity.
  • VVC represents a strategic shift towards manageable complexity for future video standards.

Conclusions:

  • VVC is positioned as the future direction for video coding standards, prioritizing complexity reduction.
  • Current VVC implementations have traded some R/D performance for enhanced efficiency and reduced complexity.
  • Further research may focus on optimizing VVC's R/D performance while maintaining its complexity advantages.