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

Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

706
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...
706
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

936
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
936
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

1.0K
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
1.0K
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

1.1K
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...
1.1K
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

1.0K
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. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
1.0K
Upsampling01:22

Upsampling

707
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...
707

You might also read

Related Articles

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

Sort by
Same author

Relative reductions in systolic blood pressure and functional outcomes in intracerebral hemorrhage: A pooled analysis of four INTERACT and ATACH-2 individual participant data.

International journal of stroke : official journal of the International Stroke Society·2026
Same author

Effects of Blood Pressure Lowering Across Hematoma Volume in Acute Intracerebral Hemorrhage: Pooled Analysis of the Four INTERACT and ATACH-2 Trials.

Annals of neurology·2026
Same author

Midgestation metabolic constraint in purine metabolism drives distinct strategies for placenta and fetal growth.

bioRxiv : the preprint server for biology·2026
Same author

Impact of Ultra-Early Perioperative Antihypertensive Therapy in Acute Intracerebral Hemorrhage.

Stroke·2026
Same author

Systolic Blood Pressure Trajectory and Outcomes in Acute Intracerebral Hemorrhage: Pooled Analysis of the 4 INTERACT and ATACH-II Clinical Trials.

Neurology·2026
Same author

Pre-donation deferral rates and causes among whole blood and apheresis platelet donors in China: A multi-centre retrospective study (2016-2024).

Vox sanguinis·2026

Related Experiment Video

Updated: Apr 5, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

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

Published on: December 3, 2013

16.2K

High-Performance Motion Estimation for Image Sensors with Video Compression.

Weizhi Xu1,2, Shouyi Yin3, Leibo Liu4

  • 1Institute of Microelectronics, Tsinghua University, Beijing 100084, China. weizhixu@gmail.com.

Sensors (Basel, Switzerland)
|August 27, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new inter-frame data reuse scheme for video compression motion estimation (ME). This method significantly reduces memory traffic by reusing pixel data between frames, improving efficiency.

Keywords:
data reusefull searchimage sensorsinter-framememory bandwidthmotion estimationvideo compression

More Related Videos

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.8K
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

8.9K

Related Experiment Videos

Last Updated: Apr 5, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

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

Published on: December 3, 2013

16.2K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.8K
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

8.9K

Area of Science:

  • Computer Engineering
  • Image Processing
  • Video Compression

Background:

  • Motion estimation (ME) is critical for video compression but is time-consuming.
  • Existing ME methods primarily utilize intra-frame data reuse, overlooking inter-frame data reuse.
  • Reducing time cost in video sensor networks is essential.

Purpose of the Study:

  • To propose a novel inter-frame data reuse scheme for video compression motion estimation (VC-ME).
  • To enhance time efficiency in video compression by exploiting both intra-frame and inter-frame data reuse.
  • To reduce off-chip memory access and associated bandwidth requirements.

Main Methods:

  • Developed a novel inter-frame data reuse scheme for ME.
  • Implemented on-chip buffers with smart data access schedules.
  • Designed three levels of the inter-frame data reuse scheme with varying trade-offs.

Main Results:

  • The proposed scheme effectively exploits both intra-frame and inter-frame data reuse.
  • On-chip buffers minimize off-chip memory access.
  • All three levels demonstrated superior data reuse efficiency compared to intra-frame methods.
  • Memory traffic was reduced by up to 50% compared to traditional intra-frame schemes.

Conclusions:

  • The novel inter-frame data reuse scheme significantly improves time efficiency in VC-ME.
  • The method effectively reduces off-chip memory traffic and bandwidth demands.
  • Offers flexible implementation choices with trade-offs between memory size and bandwidth requirements.