Zobrazeno 1 - 3
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pro vyhledávání: '"Roberto G. de A. Azevedo"'
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 2, Pp 338-349 (2021)
We propose a new method for the visual quality assessment of 360-degree (omnidirectional) videos. The proposed method is based on computing multiple spatio-temporal objective quality features on viewports extracted from 360-degree videos. A new model
Externí odkaz:
https://doaj.org/article/768d275223184fd6b25a87d7353f43d9
Autor:
Navid Mahmoudian Bidgoli, Roberto G. de A. Azevedo, Thomas Maugey, Aline Roumy, Pascal Frossard
Publikováno v:
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing, 2022, pp.1-16
IEEE Transactions on Image Processing, 2022, pp.1-16
State-of-the-art 2D image compression schemes rely on the power of convolutional neural networks (CNNs). Although CNNs offer promising perspectives for 2D image compression, extending such models to omnidirectional images is not straightforward. Firs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd78eee317a443376b19820ad333a9b9
https://inria.hal.science/hal-03833562
https://inria.hal.science/hal-03833562
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. :1-1