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

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

343
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
343
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

272
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
272
Association Areas of the Cortex01:21

Association Areas of the Cortex

8.6K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
8.6K

You might also read

Related Articles

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

Sort by
Same author

HAD: Hierarchical Asymmetric Distillation to Bridge Spatio-Temporal Gaps in Event-Based Object Tracking.

IEEE transactions on neural networks and learning systems·2026
Same author

Robust multicentre detection and classification of colorectal liver metastases on CT: application of foundation models.

NPJ precision oncology·2026
Same author

Linking geographic flavor signatures to microbial origin in high-temperature Daqu: An integrated metaproteomics and metabolomics approach.

Food chemistry: X·2026
Same author

Epitranscriptomic control of cancer: the emerging roles of m⁵C and ac⁴C RNA modifications.

Cell death discovery·2026
Same author

Ecological isolation by the Chishui River drives microecology divergence in Daqu.

Frontiers in microbiology·2026
Same author

Small cell lung cancer: from immunobiological mechanisms to clinical advances.

Frontiers in immunology·2026
Same journal

Modeling the impact of budget limitation on the screening and treatment pathway of HPV-induced precancerous cervical lesions.

Mathematical biosciences and engineering : MBE·2026
Same journal

Modeling the effects of trait-mediated dispersal on coexistence of two species: Competition and non-consumptive predator-prey.

Mathematical biosciences and engineering : MBE·2026
Same journal

A close look at the viral reduction rate in target cell limited models.

Mathematical biosciences and engineering : MBE·2026
Same journal

A stochastic agent-based model for simulating tumor-immune dynamics and evaluating therapeutic strategies.

Mathematical biosciences and engineering : MBE·2026
Same journal

Addressing domain shift via imbalance-aware domain adaptation in embryo development assessment.

Mathematical biosciences and engineering : MBE·2026
Same journal

Effect of drug resistance on an HIV epidemic in heterogeneous populations.

Mathematical biosciences and engineering : MBE·2026
See all related articles

Related Experiment Video

Updated: Jan 4, 2026

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

1.6K

A location-aware feature extraction algorithm for image recognition in mobile edge computing.

Tian Jun Lu1,2, Xian Zhong1, Luo Zhong1

  • 1School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China.

Mathematical Biosciences and Engineering : MBE
|November 9, 2019
PubMed
Summary
This summary is machine-generated.

Mobile Edge Computing (MEC) combined with a novel feature extraction algorithm enhances mobile image recognition. This approach significantly reduces response times and boosts accuracy for real-time applications.

Keywords:
feature extractionimage recognitionmobile cloud computingmobile edge computing

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.3K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

978

Related Experiment Videos

Last Updated: Jan 4, 2026

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

1.6K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.3K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

978

Area of Science:

  • Computer Science
  • Mobile Computing
  • Artificial Intelligence

Background:

  • Traditional mobile cloud computing struggles with real-time, high-accuracy image recognition due to data transmission latency.
  • The proliferation of mobile devices necessitates efficient on-device or near-device processing capabilities.

Purpose of the Study:

  • To leverage Mobile Edge Computing (MEC) for enhanced mobile image recognition services.
  • To develop a feature extraction algorithm that improves accuracy and reduces response time in MEC-based image recognition.

Main Methods:

  • Implementation of a Mobile Edge Computing (MEC) architecture for distributed image recognition.
  • Development and application of a novel feature extraction algorithm to process raw image data at the network edge.

Main Results:

  • The integrated MEC and feature extraction approach demonstrated substantial reductions in response time.
  • Significant improvements in the accuracy of image recognition applications were observed.

Conclusions:

  • The synergy between MEC architecture and the proposed feature extraction algorithm offers a viable solution for high-performance mobile image recognition.
  • This combined strategy effectively addresses the limitations of traditional mobile cloud computing for real-time image analysis.