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

Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

1.5K
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates correlation by...
1.5K
Indicators02:39

Indicators

61.1K
Certain organic substances change color in dilute solution when the hydronium ion concentration reaches a particular value. For example, phenolphthalein is a colorless substance in any aqueous solution with a hydronium ion concentration greater than 5.0 × 10−9 M (pH < 8.3). In more basic solutions where the hydronium ion concentration is less than 5.0 × 10−9 M (pH > 8.3), it is red or pink. Substances such as phenolphthalein, which can be used to determine the pH of a solution, are...
61.1K
Respiratory Assessment: Purpose and Indications01:19

Respiratory Assessment: Purpose and Indications

1.8K
Respiratory assessment is a cornerstone of nursing assessments, crucial for the early detection of patient deterioration. This evaluation transcends routine procedures, representing a critical skill nurses must master to ensure optimal patient care.
Objectives and Importance:
The primary goal of respiratory assessment is to evaluate patients at early risk of clinical deterioration. Since respiratory distress often precedes other signs of declining health, breathing patterns and sounds become a...
1.8K
Ranks01:02

Ranks

508
Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
508
Perceptual Constancy01:12

Perceptual Constancy

1.5K
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
1.5K
Correlations02:20

Correlations

36.4K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.4K

You might also read

Related Articles

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

Sort by
Same author

FirePM-YOLO: Position-Enhanced Mamba for YOLO-Based Fire Rescue Object Detection from UAV Perspectives.

Sensors (Basel, Switzerland)·2026
Same author

Geodesic-Aligned Gradient Projection for Continual Task Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same author

Unsupervised Visual Representation Learning via Multi-Dimensional Relationship Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2023
Same author

Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2021
Same author

A conventional immune regulator mitochondrial antiviral signaling protein blocks hepatic steatosis by maintaining mitochondrial homeostasis.

Hepatology (Baltimore, Md.)·2021
Same author

Implications of Antimuscarinic Autoantibodies in Postural Tachycardia Syndrome.

Journal of cardiovascular translational research·2021

Related Experiment Video

Updated: Feb 8, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.2K

A Perceptually Weighted Rank Correlation Indicator for Objective Image Quality Assessment.

Qingbo Wu, Hongliang Li, Fanman Meng

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |July 12, 2018
    PubMed
    Summary

    This study introduces a new perceptually weighted rank correlation indicator for objective image quality assessment (IQA). It prioritizes high-quality image ranking and accounts for perceptual similarity, offering a more accurate evaluation of IQA metrics.

    More Related Videos

    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
    09:49

    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

    Published on: September 25, 2021

    4.9K
    Brain Imaging Investigation of the Neural Correlates of Emotional Autobiographical Recollection
    11:30

    Brain Imaging Investigation of the Neural Correlates of Emotional Autobiographical Recollection

    Published on: August 26, 2011

    10.3K

    Related Experiment Videos

    Last Updated: Feb 8, 2026

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning
    14:38

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    Published on: November 2, 2012

    12.2K
    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
    09:49

    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

    Published on: September 25, 2021

    4.9K
    Brain Imaging Investigation of the Neural Correlates of Emotional Autobiographical Recollection
    11:30

    Brain Imaging Investigation of the Neural Correlates of Emotional Autobiographical Recollection

    Published on: August 26, 2011

    10.3K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Perceptual Computing

    Background:

    • Traditional rank correlation indicators (Spearman's ρ, Kendall's τ) in objective image quality assessment (IQA) offer average accuracy but ignore perceptual properties.
    • Current methods fail to prioritize the sorting accuracy (SA) of high-quality images, crucial for applications where only top-ranked images are presented.
    • Subjective uncertainty in human judgment means perceptually similar images are often barely sortable, yet their ranks are still considered in evaluations.

    Purpose of the Study:

    • To develop a perceptually weighted rank correlation indicator for more accurate comparison of IQA algorithms.
    • To address the limitations of existing methods by incorporating perceptual properties of image quality.
    • To provide a more nuanced evaluation of IQA metrics by considering the importance of high-quality image ranking and perceptual similarity.

    Main Methods:

    • Proposed a perceptually weighted rank correlation indicator that rewards correct ranking of high-quality images.
    • Introduced a sensory threshold (ST) to activate 'valid' pairwise comparisons only when image quality differences exceed this threshold.
    • Assigned unique weights to image pairs based on quality level and rank deviation, and illustrated sorting accuracy using a sophisticated SA-ST curve.

    Main Results:

    • The new indicator offers a more accurate comparison of IQA algorithms by accounting for perceptual relevance.
    • The SA-ST curve provides a sophisticated visualization of sorting accuracy, moving beyond single correlation coefficients.
    • The method demonstrated applicability in recommending robust IQA metrics for both degraded and enhanced image datasets.

    Conclusions:

    • The proposed perceptually weighted rank correlation indicator offers new insights into interpreting visual perception behavior in IQA.
    • This approach provides a more effective tool for evaluating and selecting IQA metrics that align better with human perception.
    • The indicator's flexibility allows for nuanced analysis by adjusting the perception threshold, enhancing its practical utility.