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A Study on the Impact of Training Data in CNN-Based Super-R..:
, In:
2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)
,
Nasiri, Fatemeh
;
Hamidouche, Wassim
;
Morin, Luce
.. - p. 1-5 , 2020
Link:
https://doi.org/10.1109/IPTA50016.2020.9286717
RT T1
2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)
: T1
A Study on the Impact of Training Data in CNN-Based Super-Resolution for Low Bitrate End-to-End Video Coding
UL https://suche.suub.uni-bremen.de/peid=ieee-9286717&Exemplar=1&LAN=DE A1 Nasiri, Fatemeh A1 Hamidouche, Wassim A1 Morin, Luce A1 Cocherel, Gildas A1 Dhollande, Nicolas YR 2020 SN 2154-512X K1 Training K1 Video coding K1 Image coding K1 Bit rate K1 Training data K1 Bandwidth K1 Convolutional neural networks K1 Convolutional Neural Networks K1 Super Resolution K1 Low Bitrate Video Coding SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/IPTA50016.2020.9286717 DO https://doi.org/10.1109/IPTA50016.2020.9286717 SF ELIB - SuUB Bremen
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