FOVQA: Blind Foveated Video Quality Assessment
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
2. Facebook Reality Labs, Seattle, WA, USA
Funder
Grant from Meta Platforms
National Science Foundation Institute for Foundations of Machine Learning
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
https://ieeexplore.ieee.org/ielam/83/9626658/9810800-aam.pdf
Reference49 articles.
1. A Foveated Video Quality Assessment Model Using Space-Variant Natural Scene Statistics
2. Foveated mean squared error—a novel video quality metric
3. Foveated wavelet image quality index
4. In-Capture Mobile Video Distortions: A Study of Subjective Behavior and Objective Algorithms
5. The Konstanz natural video database (KoNViD-1k)
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