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

Parallel Processing

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

Production Efficiency

Production Efficiency

Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).

Maximum Power Transfer

Maximum Power Transfer

Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...

Distributed Loads

Distributed Loads

Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...

X-ray Imaging

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...

Energy and Power Signals

Energy and Power Signals

In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:

You might also read

Related Articles

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

Sort by

Same author

AIM: An Advanced Hybrid Inference Model Combining Clinical Rules and Lifelog-Based Learning for Health Risk Prediction.

Life (Basel, Switzerland)·2026

Same author

StaticPigDetv2: Performance Improvement of Unseen Pig Monitoring Environment Using Depth-Based Background and Facility Information.

Sensors (Basel, Switzerland)·2026

Same author

Sustainable Self-Training Pig Detection System with Augmented Single Labeled Target Data for Solving Domain Shift Problem.

Sensors (Basel, Switzerland)·2025

Same author

Effect of treadmill walking on cardiometabolic risk factors and liver function markers in older adults with MASLD: a randomized controlled trial.

BMC sports science, medicine & rehabilitation·2025

Same author

A Study on Staging Cystic Echinococcosis Using Machine Learning Methods.

Bioengineering (Basel, Switzerland)·2025

Same author

Versatile and Fast Electrochemical Activation Method for Carbon Nanotube Fibers with Diverse Active Materials.

Small methods·2024

Search research articles

Related Experiment Video

Updated: May 16, 2026

Computer-Generated Animal Model Stimuli

Computer-Generated Animal Model Stimuli

Published on: July 29, 2007

Energy efficient image/video data transmission on commercial multi-core processors.

Sungju Lee¹, Heegon Kim, Yongwha Chung

¹Department of Computer Information Science, Korea University, Sejong KS002, Korea. peacfeel@korea.ac.kr

Sensors (Basel, Switzerland)

|December 4, 2012

Summary

This study enhances energy efficiency for image and video compression in Video Sensor Networks (VSNs) using multi-core processors. The proposed methods achieve 2-5x energy savings without sacrificing visual quality.

More Related Videos

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

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

Published on: December 3, 2013

Related Experiment Videos

Last Updated: May 16, 2026

Computer-Generated Animal Model Stimuli

Computer-Generated Animal Model Stimuli

Published on: July 29, 2007

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

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

Published on: December 3, 2013

Area of Science:

Computer Science
Electrical Engineering
Signal Processing

Background:

Video Sensor Networks (VSNs) require efficient data transmission.
Image and video compression are crucial for VSNs but computationally expensive.
Future VSN nodes will likely utilize high-performance multi-core processors.

Purpose of the Study:

To improve energy efficiency in VSN image/video compression.
To leverage multi-core processors for enhanced compression performance.
To maintain high image/video quality while reducing energy consumption.

Main Methods:

Algorithmic improvements for compression efficiency.
Optimization of compression parameters based on energy-quality tradeoffs.
Implementation on multi-core processing platforms.

Main Results:

Achieved energy efficiency improvements of 2-5x compared to straightforward approaches.
Demonstrated that high image/video quality is maintained.
Validated the effectiveness of the proposed methods through experimental results.

Conclusions:

The proposed approach effectively enhances energy efficiency for VSN compression.
Multi-core processors can be utilized to overcome computational costs of compression.
This research enables practical adoption of advanced compression in VSNs.