Quality Assessment of UGC Videos Based on Decomposition and Recomposition
Author:
Affiliation:
1. School of Artificial Intelligence, Xidian University, Xi’an, China
Funder
National Natural Science Foundation of China
Fok Ying Tong Education Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/76/10061510/09900334.pdf?arnumber=9900334
Reference54 articles.
1. UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
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4. RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content
5. Unsupervised feature learning framework for no-reference image quality assessment;ye;Proc IEEE Conf Comput Vis Pattern Recognit,2012
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