Omnidirectional Video Super-Resolution Using Deep Learning

Version 3 2024-09-17, 02:28

Version 2 2024-05-31, 08:27

Version 1 2023-04-28, 06:42

journal contribution

posted on 2024-09-17, 02:28 authored by Arbind Agrahari Baniya, Glory LeeGlory Lee, Peter Eklund, Sunil AryalSunil Aryal

Omnidirectional Video Super-Resolution Using Deep Learning

History

Journal

IEEE Transactions on Multimedia

Volume

26

Pagination

540-554

Location

Piscataway, N.J.

Publisher DOI

https://doi.org/10.1109/TMM.2023.3267294

ISSN

1520-9210

eISSN

1941-0077

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Publication URL

http://dx.doi.org/10.1109/tmm.2023.3267294

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Keywords

Science & Technology Technology Computer Science, Information Systems Computer Science, Software Engineering Telecommunications Computer Science Omnidirectional videos 360(degrees) videos super-resolution quality enhancement 360(degrees) video dataset deep learning weighted spherically smooth L1 loss function

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All Rights Reserved

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