contivqaexp
A software tool for designing, conducting, and analyzing continuous subjective video quality assessments experiments.
Science Score: 57.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 6 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (11.7%) to scientific vocabulary
Keywords
Repository
A software tool for designing, conducting, and analyzing continuous subjective video quality assessments experiments.
Basic Info
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- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
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Metadata Files
README.md
Continuous Video Quality Assessment Experiments
"Quality is in the Eye of the Beholder"
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Table of Contents
About the Project
ContiVQAExp is a software tool for designing, conducting, and analyzing subjective video quality assessment experiments. The special feature of this tool is the possibility of a continuous collection of a subject's assessment data for generic video quality characteristics during video playback. In this way, we are able to perform analyses that provide detailed insights into the relationships between the implementation of video quality characteristics and their effects on a viewer’s quality assessment.
Built With
Getting Started
You need to install OpenJDK and JavaFX on your computer to run the project.
We use Visual Studio Code for developement and can recommend the following YouTube Tutorial.
Usage
The application of ContiVQAExp is shown in the following document with screenshots and descriptions.
Publications
If you want to cite this project, we suggest to use either the citation provided above or the following reference:
Oliver Karras, Jil Klünder, and Kurt Schneider
Tool-Supported Experiments for Continuously Collecting Data of Subjective Video Quality Assessments During Video Playback
In: Softwaretechnik-Trends, 40 (1), 2019.
The details of the implementation of ContiVQAExp are reported in the following reference:
Vignesh Arulmani Sankaranarayanan
Tool-Supported Data Collection for Experiments to Subjectively Assess Vision Videos Masters Thesis
Leibniz Universität Hannover, 2019.
ContiVQAExp was successfully used for subjective video quality assessment experiments in the following reference:
Alida Rohde
Verification of Recommendations for the Production and Use of Vision Videos Based on Subjective Video Quality Assessments
Leibniz Universität Hannover, 2020.
If you want to use and cite the vision video used in the exemplary experiments, use the following reference:
Oliver Karras
Vision Video - Interaction Process of the Purchase of a Product by a Customer in a Webshop
Zenodo, 2020.
Contributing
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make ContiVQAExp better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
License
Distributed under the MIT License. See LICENSE for more information.
Contact
Dr. rer. nat. Oliver Karras - @OliverKarras - me@oliver-karras.de
Acknowledgments
Vignesh Arulmani Sankaranarayanan - @Vignesh-A-S as main developer of ContiVQAExp.
Owner
- Name: Oliver Karras
- Login: okarras
- Kind: user
- Website: https://www.oliver-karras.de
- Repositories: 4
- Profile: https://github.com/okarras
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
ContiVQAExp: Continuous Video Quality Assessment
Experiments
message: Please cite this software using these metadata.
type: software
authors:
- given-names: Oliver
family-names: Karras
email: me@oliver-karras.de
orcid: 'https://orcid.org/0000-0001-5336-6899'
identifiers:
- type: url
value: >-
https://fb-swt.gi.de/fileadmin/FB/SWT/Softwaretechnik-Trends/Verzeichnis/Band_40_Heft_1/Karras.pdf
description: Corresponding publication
- type: doi
value: 10.15488/11963
description: Corresponding publication
repository-code: 'https://github.com/okarras/ContiVQAExp'
keywords:
- video
- quality
- experiment
- analyzer
license: MIT
GitHub Events
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Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| okarras | me@o****e | 43 |
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Last synced: about 2 years ago
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Top Authors
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- okarras (1)