Name:
QualityCrowd
Description:
Crowdsourcing image quality assessment
Professor — Lab:
Touradj EbrahimiMultimedia Signal Processing Group

Technical description:
Video quality assessment with subjective testing is both time consuming and expensive. An interesting new approach to traditional testing is the so-called crowdsourcing, moving the testing effort into the internet. QualityCrowd allows to perform subjective quality assessment with crowdsourcing. QualityCrowd allows codec independent quality assessment with a simple web interface, usable with common web browsers.
Papers:
Project status:
inactive — entered showcase: 2021-05-21 — entry updated: 2024-03-15

Source code:
Lab GitHub - last commit: 2021-02-23
Code quality:
This project has not yet been evaluated by the C4DT Factory team. We will be happy to evaluate it upon request.
Project type:
Application
Programming language:
PHP, JavaScript
License:
BSD-3-Clause