VIVA-Q: Voronoi-based Quality Assessment Framework for Omnidirectional Video
4th March 2019Citations
Please cite our papers in your publications if it helps your research:
@inproceedings{Croci2020a,
title = {Voronoi-based Objective Quality Metrics for Omnidirectional Video},
author = {Simone Croci and Cagri Ozcinar and Emin Zerman and Julian Cabrera and Aljosa Smolic},
year = {2019},
pages = {1-6},
booktitle = {11th International Conference on Quality of Multimedia Experience (QoMEX 2019)}
}
@article{Croci2020b,
title = {Visual Attention-Aware Quality Estimation Framework for Omnidirectional Video using Spherical Voronoi Diagram},
author = {Simone Croci and Cagri Ozcinar and Emin Zerman and Julian Cabrera and Aljosa Smolic},
year = {2020},
journal = {Springer Quality and User Experience}
}
Downloads
Papers:
1) Voronoi-based Objective Quality Metrics for Omnidirectional Video (2019)
2) Visual Attention-Aware Quality Estimation Framework for Omnidirectional Video using Spherical Voronoi Diagram (2020)
Presentation: pdf
Code: GitHub
Dataset: contact us at crocis@scss.tcd.ie
Acknowledgment
This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) under the Grant Number 15/RP/2776. This work has also been partially supported by the Ministerio de Economía, Industria y Competitividad (AEI/FEDER) of the Spanish Government under project TEC2016-75981 (IVME).
Contact
If you have any question, send an e-mail at crocis@scss.tcd.ie or ozcinarc@scss.tcd.ie or zermane@scss.tcd.ie