Jove
Visualize
Contact Us

Related Concept Videos

Quality Assurance01:19

Quality Assurance

287
Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
287
Data Validation01:15

Data Validation

314
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
314
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

10.3K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
10.3K

You might also read

Related Articles

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

Sort by
Same author

Multimodal Image-Based Indoor Localization with Machine Learning-A Systematic Review.

Sensors (Basel, Switzerland)·2024
Same author

"In the Wild" Video Content as a Special Case of User Generated Content and a System for Its Recognition.

Sensors (Basel, Switzerland)·2023
See all related articles
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 Experiment Video

Updated: Oct 22, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.6K

Study of Subjective Data Integrity for Image Quality Data Sets with Consumer Camera Content.

Jakub Nawała1, Margaret H Pinson2, Mikołaj Leszczuk1

  • 1AGH University of Science and Technology, MP 30059 Kraków, Poland.

Journal of Imaging
|August 30, 2021
PubMed
Summary

Developing no reference visual quality metrics requires reliable data. A loose experimental design for subjective image scoring, despite following recommendations, yields unreliable data for consumer applications.

Keywords:
NR metricsblind quality assessmentconsumer cameradata integrityevaluationimage qualityno referencesubjective datasubjective study

More Related Videos

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.1K
Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision
07:57

Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision

Published on: April 29, 2014

13.6K

Related Experiment Videos

Last Updated: Oct 22, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.6K
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.1K
Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision
07:57

Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision

Published on: April 29, 2014

13.6K

Area of Science:

  • Computer Vision
  • Image Processing
  • Human-Computer Interaction

Background:

  • Developing robust no-reference (blind) visual quality metrics is crucial for consumer applications where cameras create original media and impairments simultaneously.
  • The integrity of subjective data in such uncontrolled environments is not fully understood.
  • Existing subjective study designs may not be suitable for consumer-generated content.

Purpose of the Study:

  • To introduce two new datasets (CCRIQ2 and VIME1) of consumer camera images with subjective scores.
  • To analyze the integrity of these datasets and propose a new analysis approach.
  • To evaluate the suitability of different experimental designs for subjective quality assessment.

Main Methods:

  • Collected subjective scores from 24 participants using the Absolute Category Rating method.
  • Created CCRIQ2 with a strict experimental design for camera performance evaluation.
  • Created VIME1 with a loose experimental design mimicking consumer photographer behavior.

Main Results:

  • The loose experimental design (VIME1) produced unreliable subjective data, contradicting international recommendations.
  • The strict experimental design (CCRIQ2) is more suitable for camera performance evaluation.
  • The Hoßfeld-Schatz-Egger α metric failed to differentiate between the two datasets.

Conclusions:

  • Classical subjective study designs may be inadequate for consumer content due to uncontrolled variables.
  • Loose experimental designs, even if compliant with standards, can yield unreliable data.
  • New approaches are needed for subjective quality assessment in consumer imaging contexts.