Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Encoding01:19

Encoding

837
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...
837
What are Estimates?01:06

What are Estimates?

8.8K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
8.8K
Estimation of k and VD of Aminoglycosides01:20

Estimation of k and VD of Aminoglycosides

232
Aminoglycosides are a class of antibiotics used to treat various bacterial infections. Clinicians must determine the elimination rate constant (k) and volume of distribution (VD) to optimize therapeutic efficacy and minimize toxicity. The k value represents the rate at which the drug is removed from the body, and the VD reflects the degree to which the drug distributes into body tissues. Accurately estimating these parameters allows healthcare professionals to tailor drug dosing to individual...
232
Equation of Motion: General Plane motion01:22

Equation of Motion: General Plane motion

569
In the context of a rigid body's movement within a general plane, it is important to understand that this motion is typically triggered by external forces or couple moments exerted onto it. This principle can be explained through Newton's second law, which stipulates the translational motion of the body's center of mass along each axis.
Moreover, the body's center of mass experiences a rotational effect as a result of these couple moments. This rotation can be articulated as the...
569
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

557
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
557
Equation of Motion: General Plane motion - Problem Solving01:16

Equation of Motion: General Plane motion - Problem Solving

502
Consider a lawn roller with a mass of 100 kg, a radius of 0.2 meters, and a radius of gyration of 0.15 meters. A force of 200 N is applied to this roller, angled at 60 degrees from the horizontal plane. What will be the angular acceleration of the lawn roller?
The friction between the roller and the ground is characterized by two coefficients. The static friction coefficient is 0.15, while the kinetic friction coefficient is 0.1. These values are crucial in understanding the interaction between...
502

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hybrid ferroelectric-ionic memristive hardware for high scalability in-memory computing.

Nature communications·2026
Same author

In Situ Transmission Electron Microscopy Visualization of Electric-Field-Induced Phase Transitions at the Morphotropic Phase Boundary in Hf<sub>0.5</sub>Zr<sub>0.5</sub>O<sub>2</sub>.

ACS nano·2026
Same author

Nanostructured niobium-doped nickel-rich multiphase positive electrode active material for high-power lithium-based batteries.

Nature nanotechnology·2025
Same author

Enhancing Cycle Stability in LiNiO<sub>2</sub> with Phase transition suppression via Crystalline Disordered Surface Layer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Nanowire-Bundled Grain Boundaries in Thermoelectric Materials.

Small (Weinheim an der Bergstrasse, Germany)·2025
Same author

<i>In Situ</i> TEM Characterization of Battery Materials.

Chemical reviews·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 28, 2026

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform
06:31

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform

Published on: August 4, 2022

3.6K

Motion Estimation-Assisted Denoising for an Efficient Combination with an HEVC Encoder.

Seung-Yong Lee1, Chae Eun Rhee2

  • 1Department of Information and Communication Engineering, Inha University, Incheon 402-751, Korea. ten1552@naver.com.

Sensors (Basel, Switzerland)
|February 24, 2019
PubMed
Summary
This summary is machine-generated.

This study integrates denoising with video encoding, using high-efficiency video coding (HEVC) motion estimation to reduce computational complexity. The novel approach maintains excellent denoising quality and coding efficiency for noisy video data.

Keywords:
block matching 3D collaborative filtering (BM3D)denoisinghigh-efficiency video coding (HEVC)video compression

More Related Videos

Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy
04:10

Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy

Published on: July 19, 2024

1.2K
Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout Salvelinus namaycush from Its Prey
12:24

Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout Salvelinus namaycush from Its Prey

Published on: August 29, 2014

11.3K

Related Experiment Videos

Last Updated: Jan 28, 2026

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform
06:31

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform

Published on: August 4, 2022

3.6K
Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy
04:10

Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy

Published on: July 19, 2024

1.2K
Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout Salvelinus namaycush from Its Prey
12:24

Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout Salvelinus namaycush from Its Prey

Published on: August 29, 2014

11.3K

Area of Science:

  • Computer Vision
  • Image Processing
  • Video Compression

Background:

  • Image noise significantly degrades video compression efficiency.
  • Previous denoising methods were separate from video encoding, missing optimization opportunities.
  • Noise reduction and video encoding share computational similarities, suggesting integration benefits.

Purpose of the Study:

  • To develop an integrated denoising and video encoding scheme.
  • To reduce the high computational complexity of existing denoising algorithms.
  • To improve both denoising quality and video compression efficiency.

Main Methods:

  • Proposed a novel denoising scheme by combining High-Efficiency Video Coding (HEVC) and Block Matching 3D (BM3D) collaborative filtering.
  • Replaced the computationally intensive block matching in BM3D with HEVC's motion estimation.
  • Leveraged HEVC's hierarchical structure to manage algorithmic differences.

Main Results:

  • Achieved drastic reduction in computational complexity.
  • Maintained competitive performance in terms of coding efficiency.
  • Preserved high denoising quality.

Conclusions:

  • Integrated denoising with HEVC offers significant computational savings.
  • The proposed method effectively addresses noise in low-light or low-performance camera footage.
  • This approach presents a practical solution for efficient and high-quality video compression.