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

Curvilinear Motion: Polar Coordinates01:27

Curvilinear Motion: Polar Coordinates

408
In polar coordinates, the motion of a particle follows a curvilinear path. The radial coordinate symbolized as 'r,' extends outward from a fixed origin to the particle, while the angular coordinate, 'θ,' measured in radians, represents the counterclockwise angle between a fixed reference line and the radial line connecting the origin to the particle.
The particle's location is described using a unit vector along the radial direction. Deriving the particle's position...
408
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

493
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
493
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

512
Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the...
512
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

246
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...
246
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

483
Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
483
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

428
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
428

You might also read

Related Articles

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

Sort by
Same author

Tensor Cascaded-Rank Minimization in Subspace: A Unified Regime for Hyperspectral Image Low-Level Vision.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2023
Same author

Culture-Free Quantification of Bacteria Using Digital Fluorescence Imaging in a Tunable Magnetic Capturing Cartridge for Onsite Food Testing.

ACS sensors·2022
Same author

An Acquisition Method for Visible and Near Infrared Images from Single CMYG Color Filter Array-Based Sensor.

Sensors (Basel, Switzerland)·2020
Same author

A novel scheme for essential protein discovery based on multi-source biological information.

Journal of theoretical biology·2020
Same author

Efficient In-loop Filtering Based on Enhanced Deep Convolutional Neural Networks for HEVC.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2020
Same author

A fully integrated bacterial pathogen detection system based on count-on-a-cartridge platform for rapid, ultrasensitive, highly accurate and culture-free assay.

Biosensors & bioelectronics·2020

Related Experiment Video

Updated: Aug 4, 2025

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

9.9K

Ray-Space Motion Compensation for Lenslet Plenoptic Video Coding.

Thuc Nguyen Huu, Vinh Van Duong, Jonghoon Yim

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 6, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel ray-space motion compensation method for plenoptic videos, significantly improving compression efficiency. The new technique enhances light field video coding, reducing data storage and transmission costs.

    More Related Videos

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.5K
    Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
    09:01

    Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

    Published on: April 4, 2017

    8.7K

    Related Experiment Videos

    Last Updated: Aug 4, 2025

    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
    08:39

    Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

    Published on: January 28, 2019

    9.9K
    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.5K
    Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
    09:01

    Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

    Published on: April 4, 2017

    8.7K

    Area of Science:

    • Computer Vision
    • Digital Signal Processing
    • Information Technology

    Background:

    • Plenoptic videos contain rich information, leading to high data storage and transmission costs.
    • Existing research on plenoptic video coding is limited, especially concerning motion compensation.

    Purpose of the Study:

    • To develop a novel motion compensation scheme for lenslet plenoptic videos.
    • To address the challenges of high data demands in plenoptic video coding.

    Main Methods:

    • Investigated motion compensation in the ray-space domain, not the conventional pixel domain.
    • Developed a scheme for integer and fractional ray-space motion compensation.
    • Integrated the light field motion-compensated prediction into HEVC (High Efficiency Video Coding) standards.

    Main Results:

    • Achieved significant compression efficiency gains compared to existing methods.
    • Demonstrated an average gain of 20.03% in "Low delayed B" configuration.
    • Showed an average gain of 21.76% in "Random Access" configuration of HEVC.

    Conclusions:

    • The proposed ray-space motion compensation scheme offers remarkable compression efficiency for plenoptic videos.
    • The method is easily integrable with existing video coding techniques like HEVC.
    • This advancement can reduce data storage and transmission costs for light field video applications.