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Analyzing the effect of adding temporal features to an autoencoder-based video quality model
Author(s) -
André H. M. Costa,
Helard Becerra Martinez,
Daniel G. Silva,
Mylène C. Q. Farias
Publication year - 2021
Publication title -
isandt international symposium on electronic imaging science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.243
H-Index - 20
ISSN - 2470-1173
DOI - 10.2352/issn.2470-1173.2021.9.iqsp-261
Subject(s) - computer science , video quality , metric (unit) , quality (philosophy) , encoder , artificial intelligence , autoencoder , set (abstract data type) , task (project management) , the internet , subjective video quality , data mining , real time computing , machine learning , image quality , artificial neural network , image (mathematics) , world wide web , philosophy , operations management , management , epistemology , economics , programming language , operating system

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