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

Geometric Mean01:15

Geometric Mean

4.0K
The mean is a measure of the central tendency of a data set. In some data sets, the data is inherently multiplicative, and the arithmetic mean is not useful. For example, the human population multiplies with time, and so does the credit amount of financial investment, as the interest compounds over successive time intervals.
In cases of multiplicative data, the geometric mean is used for statistical analysis. First, the product of all the elements is taken. Then, if there are n elements in the...
4.0K
Geometric Sequences01:30

Geometric Sequences

286
In systems where values diminish by a constant proportion at each stage, the resulting sequence follows a geometric structure. Each new value in the sequence is obtained by applying a fixed multiplier to the preceding term. This regular, proportional decline type is often used to represent processes involving gradual loss, such as energy dissipation or reduction in amplitude over time.When analyzing the total effect of such a process across unlimited iterations, the series of values is referred...
286
State Space Representation01:27

State Space Representation

583
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
583
Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

220
The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
220
Control Volume and System Representations01:16

Control Volume and System Representations

1.6K
Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water...
1.6K
Hybrid Zones02:29

Hybrid Zones

21.9K
Hybrid zones are narrow regions where two closely related species interact, mate, and produce hybrids. Relative to either parent species, hybrids may possess distinct phenotypic or genetic differences that impact their survival and reproductive success. The genetic variances introduced by hybridization influence species diversity and speciation processes within the hybrid zone.
21.9K

You might also read

Related Articles

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

Sort by
Same author

Quantum transport insights into layer-dependent behavior of Sub-1 nm MoS<sub>2</sub> transistors for advanced scaling.

RSC advances·2026
Same author

From exclusion to inclusion: How spiritual leadership shapes workplace relationships.

Work (Reading, Mass.)·2026
Same author

Enhanced multi-attribute decision-making method to analyze renewable energy sources for sustainable transportation by synergizing the cubic set with picture fuzzy hypersoft sets.

Scientific reports·2026
Same author

Reproductive Physiology, Genetic Architecture, and Management of Duolang Sheep Under Arid-Zone Production Systems: A Review.

International journal of molecular sciences·2026
Same author

Unlocking the genetic potential of cauliflower: the 'lucky' cultivar and <i>Bacillus subtilis</i> synergy for superior productivity and bioactive enrichment.

Frontiers in plant science·2026
Same author

Mesenchymal stem cell-based therapeutic strategies for female infertility: current evidence and emerging targeting approaches.

Biotechnology letters·2026
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Feb 5, 2026

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
06:20

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

Published on: December 6, 2024

3.1K

A Hybrid Geometric Spatial Image Representation for scene classification.

Nouman Ali1, Bushra Zafar2, Faisal Riaz3

  • 1Department of Software Engineering, Mirpur University of Science & Technology, Mirpur, Azad-Kashmir, Pakistan.

Plos One
|September 13, 2018
PubMed
Summary
This summary is machine-generated.

A new Hybrid Geometric Spatial Image Representation (HGSIR) improves image classification by incorporating spatial feature co-occurrence. This method enhances accuracy in computer vision tasks compared to traditional Bag-of-Features models.

More Related Videos

Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
08:52

Spatial Molecular Imaging of the Glycome Using Mass Spectrometry

Published on: November 28, 2025

553
Hybrid &#181;CT-FMT imaging and image analysis
13:45

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

13.7K

Related Experiment Videos

Last Updated: Feb 5, 2026

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
06:20

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

Published on: December 6, 2024

3.1K
Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
08:52

Spatial Molecular Imaging of the Glycome Using Mass Spectrometry

Published on: November 28, 2025

553
Hybrid &#181;CT-FMT imaging and image analysis
13:45

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

13.7K

Area of Science:

  • Computer Vision
  • Pattern Recognition
  • Image Analysis

Background:

  • Image classification is crucial for diverse applications like remote sensing and medical imaging.
  • The Bag-of-Features (BoF) model is widely used but lacks spatial co-occurrence information.
  • Existing methods for spatial information extraction in BoF have limitations.

Purpose of the Study:

  • To introduce a novel Hybrid Geometric Spatial Image Representation (HGSIR).
  • To address the limitation of lost spatial information in the standard Bag-of-Features model.
  • To enhance image classification performance by integrating spatial feature relationships.

Main Methods:

  • Developed HGSIR by combining histograms from rectangular, triangular, and circular image sub-regions.
  • Utilized geometric partitioning of the image space for feature extraction.
  • Evaluated the proposed method on five standard image datasets.

Main Results:

  • The proposed HGSIR method demonstrated superior performance.
  • Quantitative analysis confirmed significant improvements in classification accuracy.
  • Outperformed existing state-of-the-art approaches in image classification tasks.

Conclusions:

  • The Hybrid Geometric Spatial Image Representation (HGSIR) effectively captures spatial feature co-occurrence.
  • This novel representation significantly boosts image classification accuracy.
  • HGSIR offers a promising advancement for pattern recognition and computer vision applications.