Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Vector Functions and Motion: Problem Solving

Vector Functions and Motion: Problem Solving

Accurate position tracking is fundamental to the safe and effective operation of unmanned aerial vehicles (UAVs), particularly during precision maneuvers near complex structures. In this scenario, a drone is programmed to perform a high-precision inspection of a vertical structure, starting at position ((x, y, z) = (3, 0, 0)), with an initial velocity oriented in the positive z-direction. The trajectory of the drone is governed by a time-dependent acceleration function a(t), which is predefined...

Relative Motion Analysis using Rotating Axes-Problem Solving

Relative Motion Analysis using Rotating Axes-Problem Solving

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...

Kinematic Equations: Problem Solving

Kinematic Equations: Problem Solving

When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...

Relative Motion Analysis using Rotating Axes

Relative Motion Analysis using Rotating Axes

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 instrumental in...

Planar Rigid-Body Motion

Planar Rigid-Body Motion

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...

Lagrange Multipliers: Problem Solving

Lagrange Multipliers: Problem Solving

A silo with a cylindrical base, flat bottom, and hemispherical roof is a common design in agricultural and industrial storage due to its structural efficiency and ease of construction. Optimizing its dimensions to maximize storage capacity for a given amount of material—i.e., a fixed surface area—is a classic problem in applied calculus and engineering design. The key parameters are the radius r of the base and the height h of the cylindrical section.The total volume of the silo is obtained by...

You might also read

Related Articles

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

Sort by

Same author

Search for Flavor-Changing Neutral Current Interactions of the Top Quark and Higgs Boson in Final States with Two Photons in Proton-Proton Collisions at sqrt[s]=13 TeV.

Physical review letters·2022

Same author

Near-infrared light and glucose dual-responsive cascading hydroxyl radical generation for in situ gelation and effective breast cancer treatment.

Biomaterials·2019

Same author

First Report of the Root-Knot Nematode Meloidogyne arenaria Infecting Noni in China.

Plant disease·2019

Same author

[A mini-incision on the anterior hip for pediatric femur neck fractures of type Delbet Ⅱ].

Zhonghua wai ke za zhi [Chinese journal of surgery]·2019

Same author

Antibacterial activity against Ralstonia solanacearum of the lipopeptides secreted from the Bacillus amyloliquefaciens strain FJAT-2349.

Journal of applied microbiology·2019

Same author

[Effects and mechanism of allogeneic platelet rich plasma on collagen synthesis in wound healing].

Zhonghua wai ke za zhi [Chinese journal of surgery]·2017

Search research articles

Related Experiment Video

Updated: Jul 7, 2026

Operation of the Collaborative Composite Manufacturing (CCM) System

Operation of the Collaborative Composite Manufacturing (CCM) System

Published on: October 1, 2019

Motion-vector optimization of control grid interpolation and overlapped block motion compensation using iterated

M C Chen¹, A R Willson

¹Dept. of Electr. Eng., California Univ., Los Angeles, CA 90095, USA.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|February 12, 2008

Summary

This summary is machine-generated.

Advanced video coding uses dynamic programming to optimize motion vectors, improving compression and quality. This new method efficiently handles complex dependencies, outperforming traditional iterative techniques.

More Related Videos

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

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

Related Experiment Videos

Last Updated: Jul 7, 2026

Operation of the Collaborative Composite Manufacturing (CCM) System

Operation of the Collaborative Composite Manufacturing (CCM) System

Published on: October 1, 2019

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

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

Area of Science:

Digital video compression
Image processing and computer vision

Background:

Advanced motion compensation techniques like control grid interpolation (CGI) and overlapped block motion compensation (OBMC) offer superior video compression and visual quality.
Traditional block-matching motion compensation struggles with the 2-D interdependence of motion vectors, making rate-distortion optimization computationally prohibitive.

Purpose of the Study:

To develop a novel optimization scheme for dependent motion vector problems in video coding.
To address the computational complexity and performance degradation associated with existing iterative optimization methods.

Main Methods:

A dynamic programming approach is proposed to decompose 2-D motion vector dependency problems into manageable 1-D problems.
An efficient initial estimate of motion vectors is obtained by considering rate term dependencies.
A logarithmic search strategy is integrated with dynamic programming to reduce distortion computation complexity during iterative optimization.

Main Results:

The proposed dynamic programming algorithm decomposes complex 2-D dependencies into simpler 1-D problems.
Superior rate-distortion performance is achieved compared to conventional iterative optimization approaches.
The algorithm maintains reasonable computational complexity while enhancing compensation performance.

Conclusions:

Dynamic programming offers an efficient and effective solution for optimizing dependent motion vectors in advanced video coding.
The new scheme significantly improves compression ratio and visual quality.
This method provides a practical advancement for video coding systems.