Table of Contents
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.
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.
The application of ContiVQAExp is shown in the following document with screenshots and descriptions.
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.
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
Distributed under the MIT License. See LICENSE for more information.
Dr. rer. nat. Oliver Karras - @OliverKarras - [email protected]
Vignesh Arulmani Sankaranarayanan - @Vignesh-A-S as main developer of ContiVQAExp.