In-service video quality measurements in optical fiber links based on neural network
Video quality assessment plays a key role in evaluating and optimizing video systems. In this paper, objective image quality metric, appropriate for the fiber optic image transmission line without accessing to the original images, is evaluated by conventional neural networks. It allows an efficient continuous time scoring of the video stream efficiently by a mark on a scale of zero to five. The im…
- Nasiri-Avanaki , Muhammad-Reza
- Ebrahimpour , Reza
- Digital video transmission link
- single model optical fibre
- no reference video quality metrics
- back propagation neural networks
- model:article
- Nasiri-Avanaki , Muhammad-Reza
- Ebrahimpour , Reza
- Digital video transmission link
- single model optical fibre
- no reference video quality metrics
- back propagation neural networks
- model:article
- http://creativecommons.org/publicdomain/mark/1.0/
- false
- policy:public
- Neural network world: international journal on neural and mass-parallel computing and information systems | 2007 Volume:17 | Number:5
- uuid:2e44c31e-11b6-4e43-9de1-a3c2b723608e
- https://cdk.lib.cas.cz/client/handle/uuid:2e44c31e-11b6-4e43-9de1-a3c2b723608e
- uuid:2e44c31e-11b6-4e43-9de1-a3c2b723608e
- bez média
- svazek
- eng
- eng
- Czech Republic
- 2021-06-01T12:19:28.026Z
- 2021-06-01T12:19:28.026Z