GAMIVAL: Video Quality Prediction on Mobile Cloud Gaming Content
Author:
Affiliation:
1. Laboratory for Image and Video Engineering (LIVE), Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
2. Meta Platforms Inc., Menlo Park, CA, USA
Funder
National Science Foundation AI Institute for Foundations of Machine Learning
Meta Platforms, Inc
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/97/10036333/10065464.pdf?arnumber=10065464
Reference36 articles.
1. Quality estimation models for gaming video streaming services using perceptual video quality dimensions
2. Two-Level Approach for No-Reference Consumer Video Quality Assessment
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4. UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
5. Very deep convolutional networks for large-scale image recognition;simonyan;Proc Int Conf Learn Representations,0
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